Last update: 23/09/15 - You can Use "Control + F" keys to find a specific paper in this page.
Registration opening hours &
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Coffee breaks
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Program overview
| Day 1 Monday 2nd |
Day 2 Tuesday 3rd |
Day 3 Wednesday 4th |
Day 4 Thursday 5th |
Day 5 Friday 6th |
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| 08:00am | Welcome coffee 8:00 am·8:30am |
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| 08:30 am | Workshops & Tutorials |
Workshops & Tutorials |
Opening remarks & awards 8:45am·9:30am |
Welcome coffee 8:30am·9:00am |
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| 09:00 am | Orals THU-AM 1A / 1B |
Orals FRI-AM 1A / 1B |
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| 09:30 am | Orals WED-AM 1A / 1B |
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| 10:00 am | ||||||||
| 10:30 am | Demos-WED | Posters WED-AM |
Demos-THU | Posters THU-AM |
Demos-FRI | Posters FRI-AM |
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| 11:00 am | ||||||||
| 11:30 am | Workshops & Tutorials |
Workshops & Tutorials |
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| 12:00 pm | ||||||||
| 12:30 pm | Lunch 12:30pm·1:30 pm |
Lunch 12:30pm·1:30 pm |
Lunch 12:30pm·1:30pm |
Lunch 12:30pm·1:30pm |
Lunch 12:30pm·1:30pm |
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| 01:00 pm | ||||||||
| 01:30 pm | Workshops & Tutorials |
Workshops & Tutorials |
Orals WED-PM 2A / 2B |
Keynote 1 | Keynote 2 | |||
| 02:00 pm | ||||||||
| 02:30 pm | Posters WED-PM |
Posters THU-PM |
Posters FRI-PM |
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| 03:00 pm | ||||||||
| 03:30 pm | ||||||||
| 04:00 pm | Workshops & Tutorials |
Workshops & Tutorials |
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| 04:30 pm | Orals WED-PM 3A / 3B |
Orals THU-PM 2A / 2B |
Orals FRI-PM 2A / 2B |
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| 05:00 pm | ||||||||
| 05:30 pm | ||||||||
| 06:00 pm | PAMI Meeting | |||||||
| 06:30 pm | ICCV23 Reception at the convention center |
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| 07:00 pm | ||||||||
| 07:30 pm | ||||||||
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Wednesday 4th 09:30 AM-10:30 AM - Orals
| Date & Time | Session | Paper Title Author·s Name·s |
| Wednesday 4th 09:30 AM-10:30 AM | 3D from multi-view and sensors | Multi-Modal Neural Radiance Field for Monocular Dense SLAM with a Light-Weight ToF Sensor Xinyang Liu, Yijin Li, Yanbin Teng, Hujun Bao, Guofeng Zhang, Yinda Zhang, Zhaopeng Cui Paper ID:5824 |
| Wednesday 4th 09:30 AM-10:30 AM | 3D from multi-view and sensors 1 | ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes Chandan Yeshwanth, Yueh-Cheng Liu, Matthias Nießner, Angela Dai Paper ID:9268 |
| Wednesday 4th 09:30 AM-10:30 AM | 3D from multi-view and sensors 1 | Translating Images to Road Network: A Non-Autoregressive Sequence-to-Sequence Approach Jiachen Lu, Renyuan Peng, Xinyue Cai, Hang Xu, Hongyang Li, Feng Wen, Wei Zhang, Li Zhang Paper ID:2771 |
| Wednesday 4th 09:30 AM-10:30 AM | 3D from multi-view and sensors 1 | Doppelgangers: Learning to Disambiguate Images of Similar Structures Ruojin Cai, Joseph Tung, Qianqian Wang, Hadar Averbuch-Elor, Bharath Hariharan, Noah Snavely Paper ID:2049 |
| Wednesday 4th 09:30 AM-10:30 AM | 3D from multi-view and sensors 1 | EgoLoc: Revisiting 3D Object Localization from Egocentric Videos with Visual Queries Jinjie Mai, Abdullah Hamdi, Silvio Giancola, Chen Zhao, Bernard Ghanem Paper ID:5299 |
| Wednesday 4th 09:30 AM-10:30 AM | 3D from multi-view and sensors 1 | ClothPose: A Real-world Benchmark for Visual Analysis of Garment Pose via An Indirect Recording Solution Wenqiang Xu, Wenxin Du, Han Xue, Yutong Li, Ruolin Ye, Yan-Feng Wang, Cewu Lu Paper ID:8592 |
| Wednesday 4th 09:30 AM-10:30 AM | 3D from multi-view and sensors 1 | EMR-MSF: Self-Supervised Recurrent Monocular Scene Flow Exploiting Ego-Motion Rigidity Zijie Jiang, Masatoshi Okutomi Paper ID:6318 |
| Wednesday 4th 09:30 AM-10:30 AM | 3D from multi-view and sensors 1 | ENVIDR: Implicit Differentiable Renderer with Neural Environment Lighting Ruofan Liang, Huiting Chen, Chunlin Li, Fan Chen, Selvakumar Panneer, Nandita Vijaykumar Paper ID:3285 |
| Wednesday 4th 09:30 AM-10:30 AM | Adversarial attack and defense | Robust Mixture-of-Expert Training for Convolutional Neural Networks Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu Paper ID:5132 |
| Wednesday 4th 09:30 AM-10:30 AM | Adversarial attack and defense | Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models Dong Lu, Zhiqiang Wang, Teng Wang, Weili Guan, Hongchang Gao, Feng Zheng Paper ID:6667 |
| Wednesday 4th 09:30 AM-10:30 AM | Adversarial attack and defense | CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning Hritik Bansal, Nishad Singhi, Yu Yang, Fan Yin, Aditya Grover, Kai-Wei Chang Paper ID:12297 |
| Wednesday 4th 09:30 AM-10:30 AM | Adversarial attack and defense | CGBA: Curvature-aware Geometric Black-box Attack Md Farhamdur Reza, Ali Rahmati, Tianfu Wu, Huaiyu Dai Paper ID:11128 |
| Wednesday 4th 09:30 AM-10:30 AM | Adversarial attack and defense | Robust Evaluation of Diffusion-Based Adversarial Purification Minjong Lee, Dongwoo Kim Paper ID:11381 |
| Wednesday 4th 09:30 AM-10:30 AM | Adversarial attack and defense | Advancing Example Exploitation Can Alleviate Critical Challenges in Adversarial Training Yao Ge, Yun Li, Keji Han, Junyi Zhu, Xianzhong Long Paper ID:10737 |
| Wednesday 4th 09:30 AM-10:30 AM | Adversarial attack and defense | The Victim and The Beneficiary: Exploiting a Poisoned Model to Train a Clean Model on Poisoned Data Zixuan Zhu, Rui Wang, Cong Zou, Lihua Jing Paper ID:4834 |
| Wednesday 4th 09:30 AM-10:30 AM | Adversarial attack and defense | TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal Backdoored Models Indranil Sur, Karan Sikka, Matthew Walmer, Kaushik Koneripalli, Anirban Roy, Xiao Lin, Ajay Divakaran, Susmit Jha Paper ID:12330 |
Wednesday 4th 10:30 AM-12:30 PM - Posters
| Date & Time | Session | Paper Title Author·s Name·s |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and robotics | Simoun: Synergizing Interactive Motion-appearance Understanding for Vision-based Reinforcement Learning Yangru Huang, Peixi Peng, Yifan Zhao, Yunpeng Zhai, Haoran Xu, Yonghong Tian Paper ID:2934 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and robotics | Among Us: Adversarially Robust Collaborative Perception by Consensus Yiming Li, Qi Fang, Jiamu Bai, Siheng Chen, Felix Juefei-Xu, Chen Feng Paper ID:1508 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and robotics | Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation Cristiano Saltori, Aljosa Osep, Elisa Ricci, Laura Leal-Taixé Paper ID:1702 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and robotics | Stabilizing Visual Reinforcement Learning via Asymmetric Interactive Cooperation Yunpeng Zhai, Peixi Peng, Yifan Zhao, Yangru Huang, Yonghong Tian Paper ID:3561 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and robotics | MAAL: Multimodality-Aware Autoencoder-Based Affordance Learning for 3D Articulated Objects Yuanzhi Liang, Xiaohan Wang, Linchao Zhu, Yi Yang Paper ID:2926 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and robotics | Rethinking Range View Representation for LiDAR Segmentation Lingdong Kong, Youquan Liu, Runnan Chen, Yuexin Ma, Xinge Zhu, Yikang Li, Yuenan Hou, Yu Qiao, Ziwei Liu Paper ID:9103 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and robotics | PourIt!: Weakly-Supervised Liquid Perception from a Single Image for Visual Closed-Loop Robotic Pouring Haitao Lin, Yanwei Fu, Xiangyang Xue Paper ID:5612 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and robotics | CROSSFIRE: Camera Relocalization On Self-Supervised Features from an Implicit Representation Arthur Moreau, Nathan Piasco, Moussab Bennehar, Dzmitry Tsishkou, Bogdan Stanciulescu, Arnaud de La Fortelle Paper ID:6101 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and robotics | Environment Agnostic Representation for Visual Reinforcement Learning Hyesong Choi, Hunsang Lee, Seongwon Jeong, Dongbo Min Paper ID:11916 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and robotics | Test-time Personalizable Forecasting of 3D Human Poses Qiongjie Cui, Huaijiang Sun, Jianfeng Lu, Weiqing Li, Bin Li, Hongwei Yi, Haofan Wang Paper ID:5678 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and robotics | HM-ViT: Hetero-Modal Vehicle-to-Vehicle Cooperative Perception with Vision Transformer Hao Xiang, Runsheng Xu, Jiaqi Ma Paper ID:9394 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and graphics | Efficient Neural Supersampling on a Novel Gaming Dataset Antoine Mercier, Ruan Erasmus, Yashesh Savani, Manik Dhingra, Fatih Porikli, Guillaume Berger Paper ID:12318 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and graphics | Locally Stylized Neural Radiance Fields Hong-Wing Pang, Binh-Son Hua, Sai-Kit Yeung Paper ID:12483 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and graphics | NEMTO: Neural Environment Matting for Novel View and Relighting Synthesis of Transparent Objects Dongqing Wang, Tong Zhang, Sabine Süsstrunk Paper ID:32 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and graphics | DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders Xiaoyang Kang, Tao Yang, Wenqi Ouyang, Peiran Ren, Lingzhi Li, Xuansong Xie Paper ID:5975 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and graphics | IntrinsicNeRF: Learning Intrinsic Neural Radiance Fields for Editable Novel View Synthesis Weicai Ye, Shuo Chen, Chong Bao, Hujun Bao, Marc Pollefeys, Zhaopeng Cui, Guofeng Zhang Paper ID:7107 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and graphics | PARIS: Part-level Reconstruction and Motion Analysis for Articulated Objects Jiayi Liu, Ali Mahdavi-Amiri, Manolis Savva Paper ID:1244 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and graphics | ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model Mingyuan Zhang, Xinying Guo, Liang Pan, Zhongang Cai, Fangzhou Hong, Huirong Li, Lei Yang, Ziwei Liu Paper ID:1436 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and graphics | DS-Fusion: Artistic Typography via Discriminated and Stylized Diffusion Maham Tanveer, Yizhi Wang, Ali Mahdavi-Amiri, Hao Zhang Paper ID:1938 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and graphics | Dynamic Mesh-Aware Radiance Fields Yi-Ling Qiao, Alexander Gao, Yiran Xu, Yue Feng, Jia-Bin Huang, Ming C. Lin Paper ID:2443 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and graphics | Neural Reconstruction of Relightable Human Model from Monocular Video Wenzhang Sun, Yunlong Che, Han Huang, Yandong Guo Paper ID:3040 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and graphics | Neural Microfacet Fields for Inverse Rendering Alexander Mai, Dor Verbin, Falko Kuester, Sara Fridovich-Keil Paper ID:3364 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and graphics | A Theory of Topological Derivatives for Inverse Rendering of Geometry Ishit Mehta, Manmohan Chandraker, Ravi Ramamoorthi Paper ID:3652 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and graphics | Vox-E: Text-Guided Voxel Editing of 3D Objects Etai Sella, Gal Fiebelman, Peter Hedman, Hadar Averbuch-Elor Paper ID:4113 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and graphics | StegaNeRF: Embedding Invisible Information within Neural Radiance Fields Chenxin Li, Brandon Y. Feng, Zhiwen Fan, Panwang Pan, Zhangyang Wang Paper ID:5195 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and graphics | GlobalMapper: Arbitrary-Shaped Urban Layout Generation Liu He, Daniel Aliaga Paper ID:5254 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and graphics | Urban Radiance Field Representation with Deformable Neural Mesh Primitives Fan Lu, Yan Xu, Guang Chen, Hongsheng Li, Kwan-Yee Lin, Changjun Jiang Paper ID:5641 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and graphics | End2End Multi-View Feature Matching with Differentiable Pose Optimization Barbara Roessle, Matthias Nießner Paper ID:6069 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and graphics | Tree-Structured Shading Decomposition Chen Geng, Hong-Xing Yu, Sharon Zhang, Maneesh Agrawala, Jiajun Wu Paper ID:6072 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and graphics | Lens Parameter Estimation for Realistic Depth of Field Modeling Dominique Piché-Meunier, Yannick Hold-Geoffroy, Jianming Zhang, Jean-François Lalonde Paper ID:6503 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and graphics | AttT2M: Text-Driven Human Motion Generation with Multi-Perspective Attention Mechanism Chongyang Zhong, Lei Hu, Zihao Zhang, Shihong Xia Paper ID:6688 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and graphics | Cross-modal Latent Space Alignment for Image to Avatar Translation Manuel Ladron de Guevara, Jose Echevarria, Yijun Li, Yannick Hold-Geoffroy, Cameron Smith, Daichi Ito Paper ID:10247 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and graphics | Computationally-Efficient Neural Image Compression with Shallow Decoders Yibo Yang, Stephan Mandt Paper ID:12730 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | 3D Instance Segmentation via Enhanced Spatial and Semantic Supervision Salwa Al Khatib, Mohamed El Amine Boudjoghra, Jean Lahoud, Fahad Shahbaz Khan Paper ID:11679 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation Zhijie Deng, Yucen Luo Paper ID:2057 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization Weiguang Zhao, Yuyao Yan, Chaolong Yang, Jianan Ye, Xi Yang, Kaizhu Huang Paper ID:11470 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Point2Mask: Point-supervised Panoptic Segmentation via Optimal Transport Wentong Li, Yuqian Yuan, Song Wang, Jianke Zhu, Jianshu Li, Jian Liu, Lei Zhang Paper ID:2277 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Handwritten and Printed Text Segmentation: A Signature Case Study Sina Gholamian, Ali Vahdat Paper ID:12386 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Semantic-Aware Implicit Template Learning via Part Deformation Consistency Sihyeon Kim, Minseok Joo, Jaewon Lee, Juyeon Ko, Juhan Cha, Hyunwoo J. Kim Paper ID:11319 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | LeaF: Learning Frames for 4D Point Cloud Sequence Understanding Yunze Liu, Junyu Chen, Zekai Zhang, Jingwei Huang, Li Yi Paper ID:3033 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation Sanghyun Jo, In-Jae Yu, Kyungsu Kim Paper ID:10811 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation Zelin Peng, Guanchun Wang, Lingxi Xie, Dongsheng Jiang, Wei Shen, Qi Tian Paper ID:1340 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | XMem++: Production-level Video Segmentation From Few Annotated Frames Maksym Bekuzarov, Ariana Bermudez, Joon-Young Lee, Hao Li Paper ID:12179 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | SIGMA: Scale-Invariant Global Sparse Shape Matching Maolin Gao, Paul Roetzer, Marvin Eisenberger, Zorah Lähner, Michael Moeller, Daniel Cremers, Florian Bernard Paper ID:1652 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Self-Calibrated Cross Attention Network for Few-Shot Segmentation Qianxiong Xu, Wenting Zhao, Guosheng Lin, Cheng Long Paper ID:1356 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentation Kehan Li, Yian Zhao, Zhennan Wang, Zesen Cheng, Peng Jin, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen Paper ID:1357 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Texture Learning Domain Randomization for Domain Generalized Segmentation Sunghwan Kim, Dae-hwan Kim, Hoseong Kim Paper ID:2335 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Unsupervised Video Object Segmentation with Online Adversarial Self-Tuning Tiankang Su, Huihui Song, Dong Liu, Bo Liu, Qingshan Liu Paper ID:12030 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Exploring Open-Vocabulary Semantic Segmentation from CLIP Vision Encoder Distillation Only Jun Chen, Deyao Zhu, Guocheng Qian, Bernard Ghanem, Zhicheng Yan, Chenchen Zhu, Fanyi Xiao, Sean Chang Culatana, Mohamed Elhoseiny Paper ID:11541 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | RbA: Segmenting Unknown Regions Rejected by All Nazir Nayal, Misra Yavuz, João F. Henriques, Fatma Güney Paper ID:1530 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | SEMPART: Self-supervised Multi-resolution Partitioning of Image Semantics Sriram Ravindran, Debraj Basu Paper ID:11613 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Multi-Object Discovery by Low-Dimensional Object Motion Sadra Safadoust, Fatma Güney Paper ID:1532 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory Enxu Li, Sergio Casas, Raquel Urtasun Paper ID:11094 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Treating Pseudo-labels Generation as Image Matting for Weakly Supervised Semantic Segmentation Changwei Wang, Rongtao Xu, Shibiao Xu, Weiliang Meng, Xiaopeng Zhang Paper ID:2295 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | BoxSnake: Polygonal Instance Segmentation with Box Supervision Rui Yang, Lin Song, Yixiao Ge, Xiu Li Paper ID:3083 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Dynamic Token Pruning in Plain Vision Transformers for Semantic Segmentation Quan Tang, Bowen Zhang, Jiajun Liu, Fagui Liu, Yifan Liu Paper ID:9782 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Instance Neural Radiance Field Yichen Liu, Benran Hu, Junkai Huang, Yu-Wing Tai, Chi-Keung Tang Paper ID:10630 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Global Knowledge Calibration for Fast Open-Vocabulary Segmentation Kunyang Han, Yong Liu, Jun Hao Liew, Henghui Ding, Jiajun Liu, Yitong Wang, Yansong Tang, Yujiu Yang, Jiashi Feng, Yao Zhao, Yunchao Wei Paper ID:5229 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Diffusion-based Image Translation with Label Guidance for Domain Adaptive Semantic Segmentation Duo Peng, Ping Hu, Qiuhong Ke, Jun Liu Paper ID:9192 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings Yuhe Liu, Chuanjian Liu, Kai Han, Quan Tang, Zengchang Qin Paper ID:9124 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | The Making and Breaking of Camouflage Hala Lamdouar, Weidi Xie, Andrew Zisserman Paper ID:5370 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation Zekang Zhang, Guangyu Gao, Jianbo Jiao, Chi Harold Liu, Yunchao Wei Paper ID:5399 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Few-Shot Physically-Aware Articulated Mesh Generation via Hierarchical Deformation Xueyi Liu, Bin Wang, He Wang, Li Yi Paper ID:9013 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | HAL3D: Hierarchical Active Learning for Fine-Grained 3D Part Labeling Fenggen Yu, Yiming Qian, Francisca Gil-Ureta, Brian Jackson, Eric Bennett, Hao Zhang Paper ID:5418 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | FreeCOS: Self-Supervised Learning from Fractals and Unlabeled Images for Curvilinear Object Segmentation Tianyi Shi, Xiaohuan Ding, Liang Zhang, Xin Yang Paper ID:5513 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | MasQCLIP for Open-Vocabulary Universal Image Segmentation Xin Xu, Tianyi Xiong, Zheng Ding, Zhuowen Tu Paper ID:5515 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | CTVIS: Consistent Training for Online Video Instance Segmentation Kaining Ying, Qing Zhong, Weian Mao, Zhenhua Wang, Hao Chen, Lin Yuanbo Wu, Yifan Liu, Chengxiang Fan, Yunzhi Zhuge, Chunhua Shen Paper ID:5546 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | A Generalist Framework for Panoptic Segmentation of Images and Videos Ting Chen, Lala Li, Saurabh Saxena, Geoffrey Hinton, David J. Fleet Paper ID:8770 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Spectrum-guided Multi-granularity Referring Video Object Segmentation Bo Miao, Mohammed Bennamoun, Yongsheng Gao, Ajmal Mian Paper ID:8733 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Space Engage: Collaborative Space Supervision for Contrastive-Based Semi-Supervised Semantic Segmentation Changqi Wang, Haoyu Xie, Yuhui Yuan, Chong Fu, Xiangyu Yue Paper ID:5736 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Adaptive Superpixel for Active Learning in Semantic Segmentation Hoyoung Kim, Minhyeon Oh, Sehyun Hwang, Suha Kwak, Jungseul Ok Paper ID:7270 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Multimodal Variational Auto-encoder based Audio-Visual Segmentation Yuxin Mao, Jing Zhang, Mochu Xiang, Yiran Zhong, Yuchao Dai Paper ID:7222 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Isomer: Isomerous Transformer for Zero-shot Video Object Segmentation Yichen Yuan, Yifan Wang, Lijun Wang, Xiaoqi Zhao, Huchuan Lu, Yu Wang, Weibo Su, Lei Zhang Paper ID:5961 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | 2D-3D Interlaced Transformer for Point Cloud Segmentation with Scene-Level Supervision Cheng-Kun Yang, Min-Hung Chen, Yung-Yu Chuang, Yen-Yu Lin Paper ID:7171 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Foreground-Background Separation through Concept Distillation from Generative Image Foundation Models Mischa Dombrowski, Hadrien Reynaud, Matthew Baugh, Bernhard Kainz Paper ID:6057 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | SegPrompt: Boosting Open-World Segmentation via Category-Level Prompt Learning Muzhi Zhu, Hengtao Li, Hao Chen, Chengxiang Fan, Weian Mao, Chenchen Jing, Yifan Liu, Chunhua Shen Paper ID:6064 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Monte Carlo Linear Clustering with Single-Point Supervision is Enough for Infrared Small Target Detection Boyang Li, Yingqian Wang, Longguang Wang, Fei Zhang, Ting Liu, Zaiping Lin, Wei An, Yulan Guo Paper ID:6263 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | A Simple Framework for Open-Vocabulary Segmentation and Detection Hao Zhang, Feng Li, Xueyan Zou, Shilong Liu, Chunyuan Li, Jianwei Yang, Lei Zhang Paper ID:6690 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Source-free Depth for Object Pop-out Zongwei WU, Danda Pani Paudel, Deng-Ping Fan, Jingjing Wang, Shuo Wang, Cédric Demonceaux, Radu Timofte, Luc Van Gool Paper ID:5190 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | DynaMITe: Dynamic Query Bootstrapping for Multi-object Interactive Segmentation Transformer Amit Kumar Rana, Sabarinath Mahadevan, Alexander Hermans, Bastian Leibe Paper ID:5183 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Atmospheric Transmission and Thermal Inertia Induced Blind Road Segmentation with a Large-Scale Dataset TBRSD Junzhang Chen, Xiangzhi Bai Paper ID:9357 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Informative Data Mining for One-Shot Cross-Domain Semantic Segmentation Yuxi Wang, Jian Liang, Jun Xiao, Shuqi Mei, Yuran Yang, Zhaoxiang Zhang Paper ID:3116 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Homography Guided Temporal Fusion for Road Line and Marking Segmentation Shan Wang, Chuong Nguyen, Jiawei Liu, Kaihao Zhang, Wenhan Luo, Yanhao Zhang, Sundaram Muthu, Fahira Afzal Maken, Hongdong Li Paper ID:10595 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Open-Vocabulary Semantic Segmentation with Decoupled One-Pass Network Cong Han, Yujie Zhong, Dengjie Li, Kai Han, Lin Ma Paper ID:3421 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | TCOVIS: Temporally Consistent Online Video Instance Segmentation Junlong Li, Bingyao Yu, Yongming Rao, Jie Zhou, Jiwen Lu Paper ID:3477 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | FPR: False Positive Rectification for Weakly Supervised Semantic Segmentation Liyi Chen, Chenyang Lei, Ruihuang Li, Shuai Li, Zhaoxiang Zhang, Lei Zhang Paper ID:3714 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Stochastic Segmentation with Conditional Categorical Diffusion Models Lukas Zbinden, Lars Doorenbos, Theodoros Pissas, Adrian Thomas Huber, Raphael Sznitman, Pablo Márquez-Neila Paper ID:10145 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | SegGPT: Towards Segmenting Everything in Context Xinlong Wang, Xiaosong Zhang, Yue Cao, Wen Wang, Chunhua Shen, Tiejun Huang Paper ID:4015 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Open-vocabulary Panoptic Segmentation with Embedding Modulation Xi Chen, Shuang Li, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao Paper ID:4079 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Residual Pattern Learning for Pixel-Wise Out-of-Distribution Detection in Semantic Segmentation Yuyuan Liu, Choubo Ding, Yu Tian, Guansong Pang, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro Paper ID:4147 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Zero-guidance Segmentation Using Zero Segment Labels Pitchaporn Rewatbowornwong, Nattanat Chatthee, Ekapol Chuangsuwanich, Supasorn Suwajanakorn Paper ID:9828 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Model Calibration in Dense Classification with Adaptive Label Perturbation Jiawei Liu, Changkun Ye, Shan Wang, Ruikai Cui, Jing Zhang, Kaihao Zhang, Nick Barnes Paper ID:4163 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Enhanced Soft Label for Semi-Supervised Semantic Segmentation Jie Ma, Chuan Wang, Yang Liu, Liang Lin, Guanbin Li Paper ID:3108 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation Kaixin Cai, Pengzhen Ren, Yi Zhu, Hang Xu, Jianzhuang Liu, Changlin Li, Guangrun Wang, Xiaodan Liang Paper ID:6768 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models Weijia Wu, Yuzhong Zhao, Mike Zheng Shou, Hong Zhou, Chunhua Shen Paper ID:4328 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Alignment Before Aggregation: Trajectory Memory Retrieval Network for Video Object Segmentation Rui Sun, Yuan Wang, Huayu Mai, Tianzhu Zhang, Feng Wu Paper ID:4401 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Semi-Supervised Semantic Segmentation under Label Noise via Diverse Learning Groups Peixia Li, Pulak Purkait, Thalaiyasingam Ajanthan, Majid Abdolshah, Ravi Garg, Hisham Husain, Chenchen Xu, Stephen Gould, Wanli Ouyang, Anton van den Hengel Paper ID:4483 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | SUMMIT: Source-Free Adaptation of Uni-Modal Models to Multi-Modal Targets Cody Simons, Dripta S. Raychaudhuri, Sk Miraj Ahmed, Suya You, Konstantinos Karydis, Amit K. Roy-Chowdhury Paper ID:9650 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Class-incremental Continual Learning for Instance Segmentation with Image-level Weak Supervision Yu-Hsing Hsieh, Guan-Sheng Chen, Shun-Xian Cai, Ting-Yun Wei, Huei-Fang Yang, Chu-Song Chen Paper ID:9555 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Coarse-to-Fine Amodal Segmentation with Shape Prior Jianxiong Gao, Xuelin Qian, Yikai Wang, Tianjun Xiao, Tong He, Zheng Zhang, Yanwei Fu Paper ID:9458 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Rethinking Amodal Video Segmentation from Learning Supervised Signals with Object-centric Representation Ke Fan, Jingshi Lei, Xuelin Qian, Miaopeng Yu, Tianjun Xiao, Tong He, Zheng Zhang, Yanwei Fu Paper ID:9455 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | DVIS: Decoupled Video Instance Segmentation Framework Tao Zhang, Xingye Tian, Yu Wu, Shunping Ji, Xuebo Wang, Yuan Zhang, Pengfei Wan Paper ID:4853 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | 3D Segmentation of Humans in Point Clouds with Synthetic Data Ayça Takmaz, Jonas Schult, Irem Kaftan, Mertcan Akçay, Bastian Leibe, Robert Sumner, Francis Engelmann, Siyu Tang Paper ID:4949 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | WaterMask: Instance Segmentation for Underwater Imagery Shijie Lian, Hua Li, Runmin Cong, Suqi Li, Wei Zhang, Sam Kwong Paper ID:9764 |
| Wednesday 4th 10:30 AM-12:30 PM | Segmentation, grouping and shape analysis | Tracking Anything with Decoupled Video Segmentation Ho Kei Cheng, Seoung Wug Oh, Brian Price, Alexander Schwing, Joon-Young Lee Paper ID:14 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Cross Contrasting Feature Perturbation for Domain Generalization Chenming Li, Daoan Zhang, Wenjian Huang, Jianguo Zhang Paper ID:11748 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance Lei Fan, Bo Liu, Haoxiang Li, Ying Wu, Gang Hua Paper ID:10209 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification Rabab Abdelfattah, Qing Guo, Xiaoguang Li, Xiaofeng Wang, Song Wang Paper ID:8729 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | RankMixup: Ranking-Based Mixup Training for Network Calibration Jongyoun Noh, Hyekang Park, Junghyup Lee, Bumsub Ham Paper ID:10414 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Label-Noise Learning with Intrinsically Long-Tailed Data Yang Lu, Yiliang Zhang, Bo Han, Yiu-ming Cheung, Hanzi Wang Paper ID:6082 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Parallel Attention Interaction Network for Few-Shot Skeleton-Based Action Recognition Xingyu Liu, Sanping Zhou, Le Wang, Gang Hua Paper ID:6920 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Rethinking Mobile Block for Efficient Attention-based Models Jiangning Zhang, Xiangtai Li, Jian Li, Liang Liu, Zhucun Xue, Boshen Zhang, Zhengkai Jiang, Tianxin Huang, Yabiao Wang, Chengjie Wang Paper ID:6684 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Read-only Prompt Optimization for Vision-Language Few-shot Learning Dongjun Lee, Seokwon Song, Jihee Suh, Joonmyung Choi, Sanghyeok Lee, Hyunwoo J. Kim Paper ID:11601 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Understanding Self-attention Mechanism via Dynamical System Perspective Zhongzhan Huang, Mingfu Liang, Jinghui Qin, Shanshan Zhong, Liang Lin Paper ID:7219 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Learning in Imperfect Environment: Multi-Label Classification with Long-Tailed Distribution and Partial Labels Wenqiao Zhang, Changshuo Liu, Lingze Zeng, Bengchin Ooi, Siliang Tang, Yueting Zhuang Paper ID:9793 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | What do neural networks learn in image classification? A frequency shortcut perspective Shunxin Wang, Raymond Veldhuis, Christoph Brune, Nicola Strisciuglio Paper ID:10121 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Inducing Neural Collapse to a Fixed Hierarchy-Aware Frame for Reducing Mistake Severity Tong Liang, Jim Davis Paper ID:10135 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Unified Out-Of-Distribution Detection: A Model-Specific Perspective Reza Averly, Wei-Lun Chao Paper ID:9767 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | A Unified Framework for Robustness on Diverse Sampling Errors Myeongho Jeon, Myungjoo Kang, Joonseok Lee Paper ID:6502 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Scene-Aware Label Graph Learning for Multi-Label Image Classification Xuelin Zhu, Jian Liu, Weijia Liu, Jiawei Ge, Bo Liu, Jiuxin Cao Paper ID:10777 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Holistic Label Correction for Noisy Multi-Label Classification Xiaobo Xia, Jiankang Deng, Wei Bao, Yuxuan Du, Bo Han, Shiguang Shan, Tongliang Liu Paper ID:6501 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Strip-MLP: Efficient Token Interaction for Vision MLP Guiping Cao, Shengda Luo, Wenjian Huang, Xiangyuan Lan, Dongmei Jiang, Yaowei Wang, Jianguo Zhang Paper ID:11493 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | EQ-Net: Elastic Quantization Neural Networks Ke Xu, Lei Han, Ye Tian, Shangshang Yang, Xingyi Zhang Paper ID:12127 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Data-free Knowledge Distillation for Fine-grained Visual Categorization Renrong Shao, Wei Zhang, Jianhua Yin, Jun Wang Paper ID:9568 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Shift from Texture-bias to Shape-bias: Edge Deformation-based Augmentation for Robust Object Recognition Xilin He, Qinliang Lin, Cheng Luo, Weicheng Xie, Siyang Song, Feng Liu, Linlin Shen Paper ID:7394 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Latent-OFER: Detect, Mask, and Reconstruct with Latent Vectors for Occluded Facial Expression Recognition Isack Lee, Eungi Lee, Seok Bong Yoo Paper ID:7243 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | DR-Tune: Improving Fine-tuning of Pretrained Visual Models by Distribution Regularization with Semantic Calibration Nan Zhou, Jiaxin Chen, Di Huang Paper ID:6103 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Understanding the Feature Norm for Out-of-Distribution Detection Jaewoo Park, Jacky Chen Long Chai, Jaeho Yoon, Andrew Beng Jin Teoh Paper ID:6034 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Multi-View Active Fine-Grained Visual Recognition Ruoyi Du, Wenqing Yu, Heqing Wang, Ting-En Lin, Dongliang Chang, Zhanyu Ma Paper ID:4652 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | DIFFGUARD: Semantic Mismatch-Guided Out-of-Distribution Detection Using Pre-Trained Diffusion Models Ruiyuan Gao, Chenchen Zhao, Lanqing Hong, Qiang Xu Paper ID:2520 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Task-aware Adaptive Learning for Cross-domain Few-shot Learning Yurong Guo, Ruoyi Du, Yuan Dong, Timothy Hospedales, Yi-Zhe Song, Zhanyu Ma Paper ID:3315 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Improving Adversarial Robustness of Masked Autoencoders via Test-time Frequency-domain Prompting Qidong Huang, Xiaoyi Dong, Dongdong Chen, Yinpeng Chen, Lu Yuan, Gang Hua, Weiming Zhang, Nenghai Yu Paper ID:2368 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Saliency Regularization for Self-Training with Partial Annotations Shouwen Wang, Qian Wan, Xiang Xiang, Zhigang Zeng Paper ID:3379 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Learning Gabor Texture Features for Fine-Grained Recognition Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, Jun Liu Paper ID:3465 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | UniFormerV2: Unlocking the Potential of Image ViTs for Video Understanding Kunchang Li, Yali Wang, Yinan He, Yizhuo Li, Yi Wang, Limin Wang, Yu Qiao Paper ID:5119 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | RankMatch: Fostering Confidence and Consistency in Learning with Noisy Labels Ziyi Zhang, Weikai Chen, Chaowei Fang, Zhen Li, Lechao Chen, Liang Lin, Guanbin Li Paper ID:1863 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | MetaGCD: Learning to Continually Learn in Generalized Category Discovery Yanan Wu, Zhixiang Chi, Yang Wang, Songhe Feng Paper ID:1798 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | FerKD: Surgical Label Adaptation for Efficient Distillation Zhiqiang Shen Paper ID:4222 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Point-Query Quadtree for Crowd Counting, Localization, and More Chengxin Liu, Hao Lu, Zhiguo Cao, Tongliang Liu Paper ID:2014 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Nearest Neighbor Guidance for Out-of-Distribution Detection Jaewoo Park, Yoon Gyo Jung, Andrew Beng Jin Teoh Paper ID:4858 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Bayesian Optimization Meets Self-Distillation HyunJae Lee, Heon Song, Hyeonsoo Lee, Gi-hyeon Lee, Suyeong Park, Donggeun Yoo Paper ID:1654 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | When Prompt-based Incremental Learning Does Not Meet Strong Pretraining Yu-Ming Tang, Yi-Xing Peng, Wei-Shi Zheng Paper ID:5894 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | When to Learn What: Model-Adaptive Data Augmentation Curriculum Chengkai Hou, Jieyu Zhang, Tianyi Zhou Paper ID:11274 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Parametric Information Maximization for Generalized Category Discovery Florent Chiaroni, Jose Dolz, Ziko Imtiaz Masud, Amar Mitiche, Ismail Ben Ayed Paper ID:11198 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Boosting Few-shot Action Recognition with Graph-guided Hybrid Matching Jiazheng Xing, Mengmeng Wang, Yudi Ruan, Bofan Chen, Yaowei Guo, Boyu Mu, Guang Dai, Jingdong Wang, Yong Liu Paper ID:6193 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Domain Generalization via Rationale Invariance Liang Chen, Yong Zhang, Yibing Song, Anton van den Hengel, Lingqiao Liu Paper ID:6096 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Masked Spiking Transformer Ziqing Wang, Yuetong Fang, Jiahang Cao, Qiang Zhang, Zhongrui Wang, Renjing Xu Paper ID:10360 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Prototype Reminiscence and Augmented Asymmetric Knowledge Aggregation for Non-Exemplar Class-Incremental Learning Wuxuan Shi, Mang Ye Paper ID:6476 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning Yun Li, Zhe Liu, Saurav Jha, Lina Yao Paper ID:6623 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Candidate-aware Selective Disambiguation Based On Normalized Entropy for Instance-dependent Partial-label Learning Shuo He, Guowu Yang, Lei Feng Paper ID:12374 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No Hualiang Wang, Yi Li, Huifeng Yao, Xiaomeng Li Paper ID:7555 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Self-similarity Driven Scale-invariant Learning for Weakly Supervised Person Search Benzhi Wang, Yang Yang, Jinlin Wu, Guo-jun Qi, Zhen Lei Paper ID:4902 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Sample-wise Label Confidence Incorporation for Learning with Noisy Labels Chanho Ahn, Kikyung Kim, Ji-won Baek, Jongin Lim, Seungju Han Paper ID:5409 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples Xiaobo Xia, Bo Han, Yibing Zhan, Jun Yu, Mingming Gong, Chen Gong, Tongliang Liu Paper ID:5490 |
| Wednesday 4th 10:30 AM-12:30 PM | Recognition: Categorization | Spatial-Aware Token for Weakly Supervised Object Localization Pingyu Wu, Wei Zhai, Yang Cao, Jiebo Luo, Zheng-Jun Zha Paper ID:1772 |
| Wednesday 4th 10:30 AM-12:30 PM | Explainable AI for CV | Towards Improved Input Masking for Convolutional Neural Networks Sriram Balasubramanian, Soheil Feizi Paper ID:7564 |
| Wednesday 4th 10:30 AM-12:30 PM | Explainable AI for CV | PDiscoNet: Semantically consistent part discovery for fine-grained recognition Robert van der Klis, Stephan Alaniz, Massimiliano Mancini, Cassio F. Dantas, Dino Ienco, Zeynep Akata, Diego Marcos Paper ID:7544 |
| Wednesday 4th 10:30 AM-12:30 PM | Explainable AI for CV | Corrupting Neuron Explanations of Deep Visual Features Divyansh Srivastava, Tuomas Oikarinen, Tsui-Wei Weng Paper ID:10248 |
| Wednesday 4th 10:30 AM-12:30 PM | Explainable AI for CV | ICICLE: Interpretable Class Incremental Continual Learning Dawid Rymarczyk, Joost van de Weijer, Bartosz Zieli?ski, Bartlomiej Twardowski Paper ID:6303 |
| Wednesday 4th 10:30 AM-12:30 PM | Explainable AI for CV | ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models Uddeshya Upadhyay, Shyamgopal Karthik, Massimiliano Mancini, Zeynep Akata Paper ID:9517 |
| Wednesday 4th 10:30 AM-12:30 PM | Explainable AI for CV | Out-of-Distribution Detection for Monocular Depth Estimation Julia Hornauer, Adrian Holzbock, Vasileios Belagiannis Paper ID:3053 |
| Wednesday 4th 10:30 AM-12:30 PM | Explainable AI for CV | Studying How to Efficiently and Effectively Guide Models with Explanations Sukrut Rao, Moritz Böhle, Amin Parchami-Araghi, Bernt Schiele Paper ID:10062 |
| Wednesday 4th 10:30 AM-12:30 PM | Explainable AI for CV | Rosetta Neurons: Mining the Common Units in a Model Zoo Amil Dravid, Yossi Gandelsman, Alexei A. Efros, Assaf Shocher Paper ID:8737 |
| Wednesday 4th 10:30 AM-12:30 PM | Explainable AI for CV | Protoype-based Dataset Comparison Nanne van Noord Paper ID:11046 |
| Wednesday 4th 10:30 AM-12:30 PM | Explainable AI for CV | Learning to Identify Critical States for Reinforcement Learning from Videos Haozhe Liu, Mingchen Zhuge, Bing Li, Yuhui Wang, Francesco Faccio, Bernard Ghanem, Jürgen Schmidhuber Paper ID:1690 |
| Wednesday 4th 10:30 AM-12:30 PM | Explainable AI for CV | Leaping Into Memories: Space-Time Deep Feature Synthesis Alexandros Stergiou, Nikos Deligiannis Paper ID:2072 |
| Wednesday 4th 10:30 AM-12:30 PM | Explainable AI for CV | MAGI: Multi-Annotated Explanation-Guided Learning Yifei Zhang, Siyi Gu, Yuyang Gao, Bo Pan, Xiaofeng Yang, Liang Zhao Paper ID:12677 |
| Wednesday 4th 10:30 AM-12:30 PM | Explainable AI for CV | SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability Wei Huang, Xingyu Zhao, Gaojie Jin, Xiaowei Huang Paper ID:4952 |
| Wednesday 4th 10:30 AM-12:30 PM | Explainable AI for CV | Do DALL-E and Flamingo Understand Each Other? Hang Li, Jindong Gu, Rajat Koner, Sahand Sharifzadeh, Volker Tresp Paper ID:2743 |
| Wednesday 4th 10:30 AM-12:30 PM | Explainable AI for CV | Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks Qihan Huang, Mengqi Xue, Wenqi Huang, Haofei Zhang, Jie Song, Yongcheng Jing, Mingli Song Paper ID:5707 |
| Wednesday 4th 10:30 AM-12:30 PM | Explainable AI for CV | MoreauGrad: Sparse and Robust Interpretation of Neural Networks via Moreau Envelope Jingwei Zhang, Farzan Farnia Paper ID:11686 |
| Wednesday 4th 10:30 AM-12:30 PM | Explainable AI for CV | Towards Understanding the Generalization of Deepfake Detectors from a Game-Theoretical View Kelu Yao, Jin Wang, Boyu Diao, Chao Li Paper ID:5677 |
| Wednesday 4th 10:30 AM-12:30 PM | Explainable AI for CV | Counterfactual-based Saliency Map: Towards Visual Contrastive Explanations for Neural Networks Xue Wang, Zhibo Wang, Haiqin Weng, Hengchang Guo, Zhifei Zhang, Lu Jin, Tao Wei, Kui Ren Paper ID:5675 |
| Wednesday 4th 10:30 AM-12:30 PM | Explainable AI for CV | Beyond Single Path Integrated Gradients for Reliable Input Attribution via Randomized Path Sampling Giyoung Jeon, Haedong Jeong, Jaesik Choi Paper ID:12186 |
| Wednesday 4th 10:30 AM-12:30 PM | Explainable AI for CV | Learning Support and Trivial Prototypes for Interpretable Image Classification Chong Wang, Yuyuan Liu, Yuanhong Chen, Fengbei Liu, Yu Tian, Davis McCarthy, Helen Frazer, Gustavo Carneiro Paper ID:4144 |
| Wednesday 4th 10:30 AM-12:30 PM | Explainable AI for CV | Visual Explanations via Iterated Integrated Attributions Oren Barkan, ?Yehonatan Elisha??, Yuval Asher, Amit Eshel, Noam Koenigstein Paper ID:12462 |
| Wednesday 4th 10:30 AM-12:30 PM | Neural generative models | Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models Nan Liu, Yilun Du, Shuang Li, Joshua B. Tenenbaum, Antonio Torralba Paper ID:11105 |
| Wednesday 4th 10:30 AM-12:30 PM | Neural generative models | Human Preference Score: Better Aligning Text-to-Image Models with Human Preference Xiaoshi Wu, Keqiang Sun, Feng Zhu, Rui Zhao, Hongsheng Li Paper ID:1408 |
| Wednesday 4th 10:30 AM-12:30 PM | Neural generative models | DLT: Conditioned layout generation with Joint Discrete-Continuous Diffusion Layout Transformer Elad Levi, Eli Brosh, Mykola Mykhailych, Meir Perez Paper ID:7097 |
| Wednesday 4th 10:30 AM-12:30 PM | Neural generative models | Anti-DreamBooth: Protecting Users from Personalized Text-to-image Synthesis Thanh Van Le, Hao Phung, Thuan Hoang Nguyen, Quan Dao, Ngoc N. Tran, Anh Tran Paper ID:11655 |
| Wednesday 4th 10:30 AM-12:30 PM | Neural generative models | GECCO: Geometrically-Conditioned Point Diffusion Models Micha? J Tyszkiewicz, Pascal Fua, Eduard Trulls Paper ID:2739 |
| Wednesday 4th 10:30 AM-12:30 PM | Neural generative models | DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, Gordon Wetzstein Paper ID:6391 |
| Wednesday 4th 10:30 AM-12:30 PM | Neural generative models | Guided Motion Diffusion for Controllable Human Motion Synthesis Korrawe Karunratanakul, Konpat Preechakul, Supasorn Suwajanakorn, Siyu Tang Paper ID:2015 |
| Wednesday 4th 10:30 AM-12:30 PM | Neural generative models | COOP: Decoupling and Coupling of Whole-Body Grasping Pose Generation Yanzhao Zheng, Yunzhou Shi, Yuhao Cui, Zhongzhou Zhao, Zhiling Luo, Wei Zhou Paper ID:9724 |
| Wednesday 4th 10:30 AM-12:30 PM | Neural generative models | Zero-Shot Spatial Layout Conditioning for Text-to-Image Diffusion Models Guillaume Couairon, Marlène Careil, Matthieu Cord, Stéphane Lathuilière, Jakob Verbeek Paper ID:4195 |
| Wednesday 4th 10:30 AM-12:30 PM | Neural generative models | StyleDomain: Efficient and Lightweight Parameterizations of StyleGAN for One-shot and Few-shot Domain Adaptation Aibek Alanov, Vadim Titov, Maksim Nakhodnov, Dmitry Vetrov Paper ID:12682 |
| Wednesday 4th 10:30 AM-12:30 PM | Neural generative models | GRAM-HD: 3D-Consistent Image Generation at High Resolution with Generative Radiance Manifolds Jianfeng Xiang, Jiaolong Yang, Yu Deng, Xin Tong Paper ID:4636 |
| Wednesday 4th 10:30 AM-12:30 PM | Neural generative models | Your Diffusion Model is Secretly a Zero-Shot Classifier Alexander C. Li, Mihir Prabhudesai, Shivam Duggal, Ellis Brown, Deepak Pathak Paper ID:11420 |
| Wednesday 4th 10:30 AM-12:30 PM | Neural generative models | Learning Hierarchical Features with Joint Latent Space Energy-Based Prior Jiali Cui, Ying Nian Wu, Tian Han Paper ID:12058 |
| Wednesday 4th 10:30 AM-12:30 PM | Neural generative models | ActFormer: A GAN-based Transformer towards General Action-Conditioned 3D Human Motion Generation Liang Xu, Ziyang Song, Dongliang Wang, Jing Su, Zhicheng Fang, Chenjing Ding, Weihao Gan, Yichao Yan, Xin Jin, Xiaokang Yang, Wenjun Zeng, Wei Wu Paper ID:5879 |
| Wednesday 4th 10:30 AM-12:30 PM | Neural generative models | Landscape Learning for Neural Network Inversion Ruoshi Liu, Chengzhi Mao, Purva Tendulkar, Hao Wang, Carl Vondrick Paper ID:5343 |
| Wednesday 4th 10:30 AM-12:30 PM | Neural generative models | Diffusion in Style Martin Nicolas Everaert, Marco Bocchio, Sami Arpa, Sabine Süsstrunk, Radhakrishna Achanta Paper ID:6203 |
| Wednesday 4th 10:30 AM-12:30 PM | Neural generative models | Diffusion-SDF: Conditional Generative Modeling of Signed Distance Functions Gene Chou, Yuval Bahat, Felix Heide Paper ID:5938 |
| Wednesday 4th 10:30 AM-12:30 PM | Neural generative models | GETAvatar: Generative Textured Meshes for Animatable Human Avatars Xuanmeng Zhang, Jianfeng Zhang, Rohan Chacko, Hongyi Xu, Guoxian Song, Yi Yang, Jiashi Feng Paper ID:2481 |
| Wednesday 4th 10:30 AM-12:30 PM | Neural generative models | A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis Aishwarya Agarwal, Srikrishna Karanam, K J Joseph, Apoorv Saxena, Koustava Goswami, Balaji Vasan Srinivasan Paper ID:7059 |
| Wednesday 4th 10:30 AM-12:30 PM | Neural generative models | TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition Shilin Lu, Yanzhu Liu, Adams Wai-Kin Kong Paper ID:11210 |
| Wednesday 4th 10:30 AM-12:30 PM | Neural generative models | Breaking The Limits of Text-conditioned 3D Motion Synthesis with Elaborative Descriptions Yijun Qian, Jack Urbanek, Alexander G. Hauptmann, Jungdam Won Paper ID:2474 |
| Wednesday 4th 10:30 AM-12:30 PM | Neural generative models | BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction German Barquero, Sergio Escalera, Cristina Palmero Paper ID:6199 |
| Wednesday 4th 10:30 AM-12:30 PM | Neural generative models | Delta Denoising Score Amir Hertz, Kfir Aberman, Daniel Cohen-Or, Paper ID:6267 |
| Wednesday 4th 10:30 AM-12:30 PM | Neural generative models | Mimic3D: Thriving 3D-Aware GANs via 3D-to-2D Imitation Xingyu Chen, Yu Deng, Baoyuan Wang Paper ID:3115 |
| Wednesday 4th 10:30 AM-12:30 PM | Neural generative models | DreamBooth3D: Subject-Driven Text-to-3D Generation Amit Raj, Srinivas Kaza, Ben Poole, Michael Niemeyer, Nataniel Ruiz, Ben Mildenhall, Shiran Zada, Kfir Aberman, Michael Rubinstein, Jonathan Barron, Yuanzhen Li, Varun Jampani Paper ID:4548 |
| Wednesday 4th 10:30 AM-12:30 PM | Neural generative models | Feature Proliferation — the “Cancer” in StyleGAN and its Treatments Shuang Song, Yuanbang Liang, Jing Wu, Yu-Kun Lai, Yipeng Qin Paper ID:9471 |
| Wednesday 4th 10:30 AM-12:30 PM | Neural generative models | Unsupervised Facial Performance Editing via Vector-Quantized StyleGAN Representations Berkay Kicanaoglu, Pablo Garrido, Gaurav Bharaj Paper ID:10666 |
| Wednesday 4th 10:30 AM-12:30 PM | Neural generative models | 3D-aware Image Generation using 2D Diffusion Models Jianfeng Xiang, Jiaolong Yang, Binbin Huang, Xin Tong Paper ID:4637 |
| Wednesday 4th 10:30 AM-12:30 PM | Neural generative models | Neural Collage Transfer: Artistic Reconstruction via Material Manipulation Ganghun Lee, Minji Kim, Yunsu Lee, Minsu Lee, Byoung-Tak Zhang Paper ID:12492 |
| Wednesday 4th 10:30 AM-12:30 PM | Neural generative models | Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption Teng Hu, Jiangning Zhang, Liang Liu, Ran Yi, Siqi Kou, Haokun Zhu, Xu Chen, Yabiao Wang, Chengjie Wang, Lizhuang Ma Paper ID:3844 |
| Wednesday 4th 10:30 AM-12:30 PM | Neural generative models | Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction Hansheng Chen, Jiatao Gu, Anpei Chen, Wei Tian, Zhuowen Tu, Lingjie Liu, Hao Su Paper ID:10495 |
| Wednesday 4th 10:30 AM-12:30 PM | Neural generative models | Erasing Concepts from Diffusion Models Rohit Gandikota, Joanna Materzynska, Jaden Fiotto-Kaufman, David Bau Paper ID:2441 |
| Wednesday 4th 10:30 AM-12:30 PM | Neural generative models | Make Encoder Great Again in 3D GAN Inversion through Geometry and Occlusion-Aware Encoding Ziyang Yuan, Yiming Zhu, Yu Li, Hongyu Liu, Chun Yuan Paper ID:3032 |
| Wednesday 4th 10:30 AM-12:30 PM | Neural generative models | HairNeRF: Geometry-Aware Image Synthesis for Hairstyle Transfer Seunggyu Chang, Gihoon Kim, Hayeon Kim Paper ID:2975 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-Training Yuanze Lin, Chen Wei, Huiyu Wang, Alan Yuille, Cihang Xie Paper ID:6202 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | DiffusionRet: Generative Text-Video Retrieval with Diffusion Model Peng Jin, Hao Li, Zesen Cheng, Kehan Li, Xiangyang Ji, Chang Liu, Li Yuan, Jie Chen Paper ID:3017 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Explore and Tell: Embodied Visual Captioning in 3D Environments Anwen Hu, Shizhe Chen, Liang Zhang, Qin Jin Paper ID:6033 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Distilling Large Vision-Language Model with Out-of-Distribution Generalizability Xuanlin Li, Yunhao Fang, Minghua Liu, Zhan Ling, Zhuowen Tu, Hao Su Paper ID:6472 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Learning Trajectory-Word Alignments for Video-Language Tasks Xu Yang, Zhangzikang Li, Haiyang Xu, Hanwang Zhang, Qinghao Ye, Chenliang Li, Ming Yan, Yu Zhang, Fei Huang, Songfang Huang Paper ID:6769 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Variational Causal Inference Network for Explanatory Visual Question Answering Dizhan Xue, Shengsheng Qian, Changsheng Xu Paper ID:6947 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | TextManiA: Enriching Visual Feature by Text-driven Manifold Augmentation Moon Ye-Bin, Jisoo Kim, Hongyeob Kim, Kilho Son, Tae-Hyun Oh Paper ID:6580 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Segment Every Reference Object in Spatial and Temporal Spaces Jiannan Wu, Yi Jiang, Bin Yan, Huchuan Lu, Zehuan Yuan, Ping Luo Paper ID:1390 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models Juncheng Li, Minghe Gao, Longhui Wei, Siliang Tang, Wenqiao Zhang, Mengze Li, Wei Ji, Qi Tian, Tat-Seng Chua, Yueting Zhuang Paper ID:2174 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Misalign, Contrast then Distill: Rethinking Misalignments in Language-Image Pre-training Bumsoo Kim, Yeonsik Jo, Jinhyung Kim, Seunghwan Kim Paper ID:2172 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Toward Multi-Granularity Decision-Making: Explicit Visual Reasoning with Hierarchical Knowledge Yifeng Zhang, Shi Chen, Qi Zhao Paper ID:2202 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | VL-Match: Enhancing Vision-Language Pretraining with Token-Level and Instance-Level Matching Junyu Bi, Daixuan Cheng, Ping Yao, Bochen Pang, Yuefeng Zhan, Chuanguang Yang, Yujing Wang, Hao Sun, Weiwei Deng, Qi Zhang Paper ID:10025 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Moment Detection in Long Tutorial Videos Ioana Croitoru, Simion-Vlad Bogolin, Samuel Albanie, Yang Liu, Zhaowen Wang, Seunghyun Yoon, Franck Dernoncourt, Hailin Jin, Trung Bui Paper ID:10011 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement Xiangyang Zhu, Renrui Zhang, Bowei He, Aojun Zhou, Dong Wang, Bin Zhao, Peng Gao Paper ID:1368 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images Nitzan Bitton-Guetta, Yonatan Bitton, Jack Hessel, Ludwig Schmidt, Yuval Elovici, Gabriel Stanovsky, Roy Schwartz Paper ID:12510 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Advancing Referring Expression Segmentation Beyond Single Image Yixuan Wu, Zhao Zhang, Chi Xie, Feng Zhu, Rui Zhao Paper ID:1334 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyu Guo, Ziyao Zeng, Zipeng Qin, Shanghang Zhang, Peng Gao Paper ID:1379 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Unsupervised Prompt Tuning for Text-Driven Object Detection Weizhen He, Weijie Chen, Binbin Chen, Shicai Yang, Di Xie, Luojun Lin, Donglian Qi, Yueting Zhuang Paper ID:10008 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Distilling Coarse-to-Fine Semantic Matching Knowledge for Weakly Supervised 3D Visual Grounding Zehan Wang, Haifeng Huang, Yang Zhao, Linjun Li, Xize Cheng, Yichen Zhu, Aoxiong Yin, Zhou Zhao Paper ID:10661 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | I Can't Believe There's No Images! Learning Visual Tasks Using only Language Supervision Sophia Gu, Christopher Clark, Aniruddha Kembhavi Paper ID:11146 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited Samples Guanghui Li, Mingqi Gao, Heng Liu, Xiantong Zhen, Feng Zheng Paper ID:11194 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions Henghui Ding, Chang Liu, Shuting He, Xudong Jiang, Chen Change Loy Paper ID:1828 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning Chun-Mei Feng, Kai Yu, Yong Liu, Salman Khan, Wangmeng Zuo Paper ID:1685 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | ShapeScaffolder: Structure-Aware 3D Shape Generation from Text Xi Tian, Yong-Liang Yang, Qi Wu Paper ID:10588 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | SuS-X: Training-Free Name-Only Transfer of Vision-Language Models Vishaal Udandarao, Ankush Gupta, Samuel Albanie Paper ID:10882 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | BEVBert: Multimodal Map Pre-training for Language-guided Navigation Dong An, Yuankai Qi, Yangguang Li, Yan Huang, Liang Wang, Tieniu Tan, Jing Shao Paper ID:1519 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | X-Mesh: Towards Fast and Accurate Text-driven 3D Stylization via Dynamic Textual Guidance Yiwei Ma, Xiaoqing Zhang, Xiaoshuai Sun, Jiayi Ji, Haowei Wang, Guannan Jiang, Weilin Zhuang, Rongrong Ji Paper ID:1489 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | OnlineRefer: A Simple Online Baseline for Referring Video Object Segmentation Dongming Wu, Tiancai Wang, Yuang Zhang, Xiangyu Zhang, Jianbing Shen Paper ID:2704 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Attentive Mask CLIP Yifan Yang, Weiquan Huang, Yixuan Wei, Houwen Peng, Xinyang Jiang, Huiqiang Jiang, Fangyun Wei, Yin Wang, Han Hu, Lili Qiu, Yuqing Yang Paper ID:9751 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Knowledge Proxy Intervention for Deconfounded Video Question Answering Jiangtong Li, Li Niu, Liqing Zhang Paper ID:5438 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | UniVTG: Towards Unified Video-Language Temporal Grounding Kevin Qinghong Lin, Pengchuan Zhang, Joya Chen, Shraman Pramanick, Difei Gao, Alex Jinpeng Wang, Rui Yan, Mike Zheng Shou Paper ID:3426 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Self-supervised Cross-view Representation Reconstruction for Change Captioning Yunbin Tu, Liang Li, Li Su, Zheng-Jun Zha, Chenggang Yan, Qingming Huang Paper ID:5531 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Unified Coarse-to-Fine Alignment for Video-Text Retrieval Ziyang Wang, Yi-Lin Sung, Feng Cheng, Gedas Bertasius, Mohit Bansal Paper ID:12695 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Confidence-aware Pseudo-label Learning for Weakly Supervised Visual Grounding Yang Liu, Jiahua Zhang, Qingchao Chen, Yuxin Peng Paper ID:5729 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | TextPSG: Panoptic Scene Graph Generation from Textual Descriptions Chengyang Zhao, Yikang Shen, Zhenfang Chen, Mingyu Ding, Chuang Gan Paper ID:3290 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogerio Feris, Hilde Kuehne, Horst Bischof Paper ID:3246 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Unify, Align and Refine: Multi-Level Semantic Alignment for Radiology Report Generation Yaowei Li, Bang Yang, Xuxin Cheng, Zhihong Zhu, Hongxiang Li, Yuexian Zou Paper ID:3239 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine Translation Devaansh Gupta, Siddhant Kharbanda, Jiawei Zhou, Wanhua Li, Hanspeter Pfister, Donglai Wei Paper ID:4253 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Learning Human-Human Interactions in Images from Weak Textual Supervision Morris Alper, Hadar Averbuch-Elor Paper ID:5908 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | BUS: Efficient and Effective Vision-Language Pre-Training with Bottom-Up Patch Summarization. Chaoya Jiang, Haiyang Xu, Wei Ye, Qinghao Ye, Chenliang Li, Ming Yan, Bin Bi, Shikun Zhang, Fei Huang, Songfang Huang Paper ID:4782 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | 3D-VisTA: Pre-trained Transformer for 3D Vision and Text Alignment Ziyu Zhu, Xiaojian Ma, Yixin Chen, Zhidong Deng, Siyuan Huang, Qing Li Paper ID:5029 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | ALIP: Adaptive Language-Image Pre-Training with Synthetic Caption Kaicheng Yang, Jiankang Deng, Xiang An, Jiawei Li, Ziyong Feng, Jia Guo, Jing Yang, Tongliang Liu Paper ID:3837 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | LoGoPrompt: Synthetic Text Images Can Be Good Visual Prompts for Vision-Language Models Cheng Shi, Sibei Yang Paper ID:4706 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Noise-Aware Learning from Web-Crawled Image-Text Data for Image Captioning Wooyoung Kang, Jonghwan Mun, Sungjun Lee, Byungseok Roh Paper ID:6017 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Decouple Before Interact: Multi-Modal Prompt Learning for Continual Visual Question Answering Zi Qian, Xin Wang, Xuguang Duan, Pengda Qin, Yuhong Li, Wenwu Zhu Paper ID:3170 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | PromptCap: Prompt-Guided Image Captioning for VQA with GPT-3 Yushi Hu, Hang Hua, Zhengyuan Yang, Weijia Shi, Noah A. Smith, Jiebo Luo Paper ID:8675 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Grounded Image Text Matching with Mismatched Relation Reasoning Yu Wu, Yana Wei, Haozhe Wang, Yongfei Liu, Sibei Yang, Xuming He Paper ID:8957 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | GePSAn: Generative Procedure Step Anticipation in Cooking Videos Mohamed A. Abdelsalam, Samrudhdhi B. Rangrej, Isma Hadji, Nikita Dvornik, Konstantinos G. Derpanis, Afsaneh Fazly Paper ID:9036 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models Chan Hee Song, Jiaman Wu, Clayton Washington, Brian M Sadler, Wei-Lun Chao, Yu Su Paper ID:9045 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control Zi-Yuan Hu, Yanyang Li, Michael R. Lyu, Liwei Wang Paper ID:9166 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | With a Little Help from Your Own Past: Prototypical Memory Networks for Image Captioning Manuele Barraco, Sara Sarto, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara Paper ID:9332 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Improving Zero-Shot Generalization for CLIP with Synthesized Prompts Zhengbo Wang, Jian Liang, Ran He, Nan Xu, Zilei Wang, Tieniu Tan Paper ID:9372 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models Jaemin Cho, Abhay Zala, Mohit Bansal Paper ID:9642 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Learning Navigational Visual Representations with Semantic Map Supervision Yicong Hong, Yang Zhou, Ruiyi Zhang, Franck Dernoncourt, Trung Bui, Stephen Gould, Hao Tan Paper ID:9647 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | CoTDet: Affordance Knowledge Prompting for Task Driven Object Detection Jiajin Tang, Ge Zheng, Jingyi Yu, Sibei Yang Paper ID:2636 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Open Set Video HOI detection from Action-Centric Chain-of-Look Prompting Nan Xi, Jingjing Meng, Junsong Yuan Paper ID:6299 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Learning Concise and Descriptive Attributes for Visual Recognition An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Yang Wang, Jingbo Shang, Julian McAuley Paper ID:6433 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Open-vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models Dohwan Ko, Ji Soo Lee, Miso Choi, Jaewon Chu, Jihwan Park, Hyunwoo J. Kim Paper ID:6798 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Encyclopedic VQA: Visual Questions About Detailed Properties of Fine-Grained Categories Thomas Mensink, Jasper Uijlings, Lluis Castrejon, Arushi Goel, Felipe Cadar, Howard Zhou, Fei Sha, André Araujo, Vittorio Ferrari Paper ID:6900 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Story Visualization by Online Text Augmentation with Context Memory Daechul Ahn, Daneul Kim, Gwangmo Song, Seung Hwan Kim, Honglak Lee, Dongyeop Kang, Jonghyun Choi Paper ID:6939 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Transferable Decoding with Visual Entities for Zero-Shot Image Captioning Junjie Fei, Teng Wang, Jinrui Zhang, Zhenyu He, Chengjie Wang, Feng Zheng Paper ID:2853 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Too Large; Data Reduction for Vision-Language Pre-Training Alex Jinpeng Wang, Kevin Qinghong Lin, David Junhao Zhang, Stan Weixian Lei, Mike Zheng Shou Paper ID:2737 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | ViLTA: Enhancing Vision-Language Pre-training through Textual Augmentation Weihan Wang, Zhen Yang, Bin Xu, Juanzi Li, Yankui Sun Paper ID:12736 |
| Wednesday 4th 10:30 AM-12:30 PM | Vision and language 1 | Teaching CLIP to Count to Ten Roni Paiss, Ariel Ephrat, Omer Tov, Shiran Zada, Inbar Mosseri, Michal Irani, Tali Dekel Paper ID:7538 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection Junsheng Zhou, Baorui Ma, Shujuan Li, Yu-Shen Liu, Zhizhong Han Paper ID:6311 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts Wenyan Cong, Hanxue Liang, Peihao Wang, Zhiwen Fan, Tianlong Chen, Mukund Varma, Yi Wang, Zhangyang Wang Paper ID:5169 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyond Yixuan Li, Lihan Jiang, Linning Xu, Yuanbo Xiangli, Zhenzhi Wang, Dahua Lin, Bo Dai Paper ID:6338 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras Aron Schmied, Tobias Fischer, Martin Danelljan, Marc Pollefeys, Fisher Yu Paper ID:6411 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | ClimateNeRF: Extreme Weather Synthesis in Neural Radiance Field Yuan Li, Zhi-Hao Lin, David Forsyth, Jia-Bin Huang, Shenlong Wang Paper ID:6482 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | Rendering Humans from Object-Occluded Monocular Videos Tiange Xiang, Adam Sun, Jiajun Wu, Ehsan Adeli, Li Fei-Fei Paper ID:6487 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | AssetField: Assets Mining and Reconfiguration in Ground Feature Plane Representation Yuanbo Xiangli, Linning Xu, Xingang Pan, Nanxuan Zhao, Bo Dai, Dahua Lin Paper ID:5711 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images Yingfei Liu, Junjie Yan, Fan Jia, Shuailin Li, Aqi Gao, Tiancai Wang, Xiangyu Zhang Paper ID:5689 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | MIMO-NeRF: Fast Neural Rendering with Multi-input Multi-output Neural Radiance Fields Takuhiro Kaneko Paper ID:11569 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | Adaptive Positional Encoding for Bundle-Adjusting Neural Radiance Fields Zelin Gao, Weichen Dai, Yu Zhang Paper ID:5671 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction Yiming Wang, Qin Han, Marc Habermann, Kostas Daniilidis, Christian Theobalt, Lingjie Liu Paper ID:6211 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition Qitong Wang, Long Zhao, Liangzhe Yuan, Ting Liu, Xi Peng Paper ID:5275 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo Matching Junpeng Jing, Jiankun Li, Pengfei Xiong, Jiangyu Liu, Shuaicheng Liu, Yichen Guo, Xin Deng, Mai Xu, Lai Jiang, Leonid Sigal Paper ID:6269 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | Compatibility of Fundamental Matrices for Complete Viewing Graphs Martin Bråtelund, Felix Rydell Paper ID:12114 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | ProtoTransfer: Cross-Modal Prototype Transfer for Point Cloud Segmentation Pin Tang, Hai-Ming Xu, Chao Ma Paper ID:7379 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | SA-BEV: Generating Semantic-Aware Bird's-Eye-View Feature for Multi-view 3D Object Detection Jinqing Zhang, Yanan Zhang, Qingjie Liu, Yunhong Wang Paper ID:6799 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | GraphAlign: Enhancing Accurate Feature Alignment by Graph matching for Multi-Modal 3D Object Detection Ziying Song, Haiyue Wei, Lin Bai, Lei Yang, Caiyan Jia Paper ID:9495 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | Tangent Sampson Error: Fast Approximate Two-view Reprojection Error for Central Camera Models Mikhail Terekhov, Viktor Larsson Paper ID:9574 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation Gilles Puy, Alexandre Boulch, Renaud Marlet Paper ID:9888 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | Fast Globally Optimal Surface Normal Estimation from an Affine Correspondence Levente Hajder, Lajos Lóczi, Daniel Barath Paper ID:10102 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | Preface: A Data-driven Volumetric Prior for Few-shot Ultra High-resolution Face Synthesis Marcel C. Bühler, Kripasindhu Sarkar, Tanmay Shah, Gengyan Li, Daoye Wang, Leonhard Helminger, Sergio Orts-Escolano, Dmitry Lagun, Otmar Hilliges, Thabo Beeler, Abhimitra Meka Paper ID:10231 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | Canonical Factors for Hybrid Neural Fields Brent Yi, Weijia Zeng, Sam Buchanan, Yi Ma Paper ID:10306 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | Center-Based Decoupled Point-cloud Registration for 6D Object Pose Estimation Haobo Jiang, Zheng Dang, Shuo Gu, Jin Xie, Mathieu Salzmann, Jian Yang Paper ID:10947 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | Deep Geometry-Aware Camera Self-Calibration from Video Annika Hagemann, Moritz Knorr, Christoph Stiller Paper ID:11058 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | V-FUSE: Volumetric Depth Map Fusion with Long-Range Constraints Nathaniel Burgdorfer, Philippos Mordohai Paper ID:11074 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | Consistent Depth Prediction for Transparent Object Reconstruction from RGB-D Camera Yuxiang Cai, Yifan Zhu, Haiwei Zhang, Bo Ren Paper ID:11243 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields Sungwon Hwang, Junha Hyung, Daejin Kim, Min-Jung Kim, Jaegul Choo Paper ID:6813 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | HollowNeRF: Pruning Hashgrid-Based NeRFs with Trainable Collision Mitigation Xiufeng Xie, Riccardo Gherardi, Zhihong Pan, Stephen Huang Paper ID:7231 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | ICE-NeRF: Interactive Color Editing of NeRFs via Decomposition-Aware Weight Optimization Jae-Hyeok Lee, Dae-Shik Kim Paper ID:7319 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level Gradient Calibration Zhijian Huang, Sihao Lin, Guiyu Liu, Mukun Luo, Chaoqiang Ye, Hang Xu, Xiaojun Chang, Xiaodan Liang Paper ID:7414 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | Neural Fields for Structured Lighting Aarrushi Shandilya, Benjamin Attal, Christian Richardt, James Tompkin, Matthew O'toole Paper ID:7575 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | CO-Net: Learning Multiple Point Cloud Tasks at Once with A Cohesive Network Tao Xie, Ke Wang, Siyi Lu, Yukun Zhang, Kun Dai, Xiaoyu Li, Jie Xu, Li Wang, Lijun Zhao, Xinyu Zhang, Ruifeng Li Paper ID:8799 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | Pose-Free Neural Radiance Fields via Implicit Pose Regularization Jiahui Zhang, Fangneng Zhan, Yingchen Yu, Kunhao Liu, Rongliang Wu, Xiaoqin Zhang, Ling Shao, Shijian Lu Paper ID:8865 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | TransHuman: A Transformer-based Human Representation for Generalizable Neural Human Rendering Xiao Pan, Zongxin Yang, Jianxin Ma, Chang Zhou, Yi Yang Paper ID:8909 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | S-VolSDF: Sparse Multi-View Stereo Regularization of Neural Implicit Surfaces Haoyu Wu, Alexandros Graikos, Dimitris Samaras Paper ID:9034 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | DPS-Net: Deep Polarimetric Stereo Depth Estimation Chaoran Tian, Weihong Pan, Zimo Wang, Mao Mao, Guofeng Zhang, Hujun Bao, Ping Tan, Zhaopeng Cui Paper ID:9109 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | 3DPPE: 3D Point Positional Encoding for Transformer-based Multi-Camera 3D Object Detection Changyong Shu, Jiajun Deng, Fisher Yu, Yifan Liu Paper ID:9150 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | Deformable Neural Radiance Fields using RGB and Event Cameras Qi Ma, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool Paper ID:9284 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | NeILF++: Inter-Reflectable Light Fields for Geometry and Material Estimation Jingyang Zhang, Yao Yao, Shiwei Li, Jingbo Liu, Tian Fang, David McKinnon, Yanghai Tsin, Long Quan Paper ID:9402 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | Hierarchical Prior Mining for Non-local Multi-View Stereo Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang Paper ID:5679 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection Shihao Wang, Yingfei Liu, Tiancai Wang, Ying Li, Xiangyu Zhang Paper ID:3746 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | Re-ReND: Real-Time Rendering of NeRFs across Devices Sara Rojas, Jesus Zarzar, Juan C. Pérez, Artsiom Sanakoyeu, Ali Thabet, Albert Pumarola, Bernard Ghanem Paper ID:3760 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | Learning Shape Primitives via Implicit Convexity Regularization Xiaoyang Huang, Yi Zhang, Kai Chen, Teng Li, Wenjun Zhang, Bingbing Ni Paper ID:3799 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | Geometry-guided Feature Learning and Fusion for Indoor Scene Reconstruction Ruihong Yin, Sezer Karaoglu, Theo Gevers Paper ID:3831 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | LiDAR-Camera Panoptic Segmentation via Geometry-Consistent and Semantic-Aware Alignment Zhiwei Zhang, Zhizhong Zhang, Qian Yu, Ran Yi, Yuan Xie, Lizhuang Ma Paper ID:3908 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | PivotNet: Vectorized Pivot Learning for End-to-end HD Map Construction Wenjie Ding, Limeng Qiao, Xi Qiu, Chi Zhang Paper ID:2536 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | Sat2Density: Faithful Density Learning from Satellite-Ground Image Pairs Ming Qian, Jincheng Xiong, Gui-Song Xia, Nan Xue Paper ID:1558 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | Mask-Attention-Free Transformer for 3D Instance Segmentation Xin Lai, Yuhui Yuan, Ruihang Chu, Yukang Chen, Han Hu, Jiaya Jia Paper ID:2535 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | Scene-Aware Feature Matching Xiaoyong Lu, Yaping Yan, Tong Wei, Songlin Du Paper ID:4100 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling Zhuoxiao Chen, Yadan Luo, Zheng Wang, Mahsa Baktashmotlagh, Zi Huang Paper ID:2513 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction Youmin Zhang, Fabio Tosi, Stefano Mattoccia, Matteo Poggi Paper ID:4110 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | BANSAC: A Dynamic BAyesian Network for Adaptive SAmple Consensus Valter Piedade, Pedro Miraldo Paper ID:12475 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | Theoretical and Numerical Analysis of 3D Reconstruction Using Point and Line Incidences Felix Rydell, Elima Shehu, Angélica Torres Paper ID:12433 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | RealGraph: A Multiview Dataset for 4D Real-world Context Graph Generation Haozhe Lin, Zequn Chen, Jinzhi Zhang, Bing Bai, Yu Wang, Ruqi Huang, Lu Fang Paper ID:3680 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | CL-MVSNet: Unsupervised Multi-View Stereo with Dual-Level Contrastive Learning Kaiqiang Xiong, Rui Peng, Zhe Zhang, Tianxing Feng, Jianbo Jiao, Feng Gao, Ronggang Wang Paper ID:3281 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction Zhuofan Zong, Dongzhi Jiang, Guanglu Song, Zeyue Xue, Jingyong Su, Hongsheng Li, Yu Liu Paper ID:1386 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | Object as Query: Lifting Any 2D Object Detector to 3D Detection Zitian Wang, Zehao Huang, Jiahui Fu, Naiyan Wang, Si Liu Paper ID:3020 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection Ming Nie, Yujing Xue, Chunwei Wang, Chaoqiang Ye, Hang Xu, Xinge Zhu, Qingqiu Huang, Michael Bi Mi, Xinchao Wang, Li Zhang Paper ID:2915 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | Not Every Side Is Equal: Localization Uncertainty Estimation for Semi-Supervised 3D Object Detection Chuxin Wang, Wenfei Yang, Tianzhu Zhang Paper ID:1476 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection Yifan Zhang, Zhen Dong, Huanrui Yang, Ming Lu, Cheng-Ching Tseng, Yuan Du, Kurt Keutzer, Li Du, Shanghang Zhang Paper ID:9416 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | Multi-Modal Neural Radiance Field for Monocular Dense SLAM with a Light-Weight ToF Sensor Xinyang Liu, Yijin Li, Yanbin Teng, Hujun Bao, Guofeng Zhang, Yinda Zhang, Zhaopeng Cui Paper ID:5824 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes Chandan Yeshwanth, Yueh-Cheng Liu, Matthias Nießner, Angela Dai Paper ID:9268 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | Translating Images to Road Network: A Non-Autoregressive Sequence-to-Sequence Approach Jiachen Lu, Renyuan Peng, Xinyue Cai, Hang Xu, Hongyang Li, Feng Wen, Wei Zhang, Li Zhang Paper ID:2771 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | Doppelgangers: Learning to Disambiguate Images of Similar Structures Ruojin Cai, Joseph Tung, Qianqian Wang, Hadar Averbuch-Elor, Bharath Hariharan, Noah Snavely Paper ID:2049 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | EgoLoc: Revisiting 3D Object Localization from Egocentric Videos with Visual Queries Jinjie Mai, Abdullah Hamdi, Silvio Giancola, Chen Zhao, Bernard Ghanem Paper ID:5299 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | ClothPose: A Real-world Benchmark for Visual Analysis of Garment Pose via An Indirect Recording Solution Wenqiang Xu, Wenxin Du, Han Xue, Yutong Li, Ruolin Ye, Yan-Feng Wang, Cewu Lu Paper ID:8592 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | EMR-MSF: Self-Supervised Recurrent Monocular Scene Flow Exploiting Ego-Motion Rigidity Zijie Jiang, Masatoshi Okutomi Paper ID:6318 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | ENVIDR: Implicit Differentiable Renderer with Neural Environment Lighting Ruofan Liang, Huiting Chen, Chunlin Li, Fan Chen, Selvakumar Panneer, Nandita Vijaykumar Paper ID:3285 |
| Wednesday 4th 10:30 AM-12:30 PM | 3D from multi-view and sensors 1 | CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields Ziyuan Luo, Qing Guo, Ka Chun Cheung, Simon See, Renjie Wan Paper ID:6271 |
| Wednesday 4th 10:30 AM-12:30 PM | Adversarial attack and defense | Robust Mixture-of-Expert Training for Convolutional Neural Networks Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu Paper ID:5132 |
| Wednesday 4th 10:30 AM-12:30 PM | Adversarial attack and defense | Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models Dong Lu, Zhiqiang Wang, Teng Wang, Weili Guan, Hongchang Gao, Feng Zheng Paper ID:6667 |
| Wednesday 4th 10:30 AM-12:30 PM | Adversarial attack and defense | CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning Hritik Bansal, Nishad Singhi, Yu Yang, Fan Yin, Aditya Grover, Kai-Wei Chang Paper ID:12297 |
| Wednesday 4th 10:30 AM-12:30 PM | Adversarial attack and defense | CGBA: Curvature-aware Geometric Black-box Attack Md Farhamdur Reza, Ali Rahmati, Tianfu Wu, Huaiyu Dai Paper ID:11128 |
| Wednesday 4th 10:30 AM-12:30 PM | Adversarial attack and defense | Robust Evaluation of Diffusion-Based Adversarial Purification Minjong Lee, Dongwoo Kim Paper ID:11381 |
| Wednesday 4th 10:30 AM-12:30 PM | Adversarial attack and defense | Advancing Example Exploitation Can Alleviate Critical Challenges in Adversarial Training Yao Ge, Yun Li, Keji Han, Junyi Zhu, Xianzhong Long Paper ID:10737 |
| Wednesday 4th 10:30 AM-12:30 PM | Adversarial attack and defense | The Victim and The Beneficiary: Exploiting a Poisoned Model to Train a Clean Model on Poisoned Data Zixuan Zhu, Rui Wang, Cong Zou, Lihua Jing Paper ID:4834 |
| Wednesday 4th 10:30 AM-12:30 PM | Adversarial attack and defense | TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal Backdoored Models Indranil Sur, Karan Sikka, Matthew Walmer, Kaushik Koneripalli, Anirban Roy, Xiao Lin, Ajay Divakaran, Susmit Jha Paper ID:12330 |
Wednesday 4th 01:30 PM-02:30 PM - Orals
| Date & Time | Session | Paper Title Author·s Name·s |
| Wednesday 4th 01:30 PM-02:30 PM | Vision, Graphics, and Robotics | Adding Conditional Control to Text-to-Image Diffusion Models Lvmin Zhang, Anyi Rao, Maneesh Agrawala Paper ID:4487 |
| Wednesday 4th 01:30 PM-02:30 PM | Vision, Graphics, and Robotics | Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation Liwen Wu, Rui Zhu, Mustafa B. Yaldiz, Yinhao Zhu, Hong Cai, Janarbek Matai, Fatih Porikli, Tzu-Mao Li, Manmohan Chandraker, Ravi Ramamoorthi Paper ID:5648 |
| Wednesday 4th 01:30 PM-02:30 PM | Vision, Graphics, and Robotics | Manipulate by Seeing: Creating Manipulation Controllers from Pre-Trained Representations Jianren Wang, Sudeep Dasari, Mohan Kumar Srirama, Shubham Tulsiani, Abhinav Gupta Paper ID:11166 |
| Wednesday 4th 01:30 PM-02:30 PM | Vision, Graphics, and Robotics | 3D Implicit Transporter for Temporally Consistent Keypoint Discovery Chengliang Zhong, Yuhang Zheng, Yupeng Zheng, Hao Zhao, Li Yi, Xiaodong Mu, Ling Wang, Pengfei Li, Guyue Zhou, Chao Yang, Xinliang Zhang, Jian Zhao Paper ID:6967 |
| Wednesday 4th 01:30 PM-02:30 PM | Vision, Graphics, and Robotics | Chordal Averaging on Flag Manifolds and Its Applications Nathan Mankovich, Tolga Birdal Paper ID:3293 |
| Wednesday 4th 01:30 PM-02:30 PM | Vision, Graphics, and Robotics | UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-Aware Curriculum and Iterative Generalist-Specialist Learning Weikang Wan, Haoran Geng, Yun Liu, Zikang Shan, Yaodong Yang, Li Yi, He Wang Paper ID:4200 |
| Wednesday 4th 01:30 PM-02:30 PM | Vision, Graphics, and Robotics | GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving Zhiyu Huang, Haochen Liu, Chen Lv Paper ID:9889 |
| Wednesday 4th 01:30 PM-02:30 PM | Vision, Graphics, and Robotics | PPR: Physically Plausible Reconstruction from Monocular Videos Gengshan Yang, Shuo Yang, John Z. Zhang, Zachary Manchester, Deva Ramanan Paper ID:5133 |
| Wednesday 4th 01:30 PM-02:30 PM | Privacy, Security, Fairness, Explainability and Datasets | Zolly: Zoom Focal Length Correctly for Perspective-Distorted Human Mesh Reconstruction Wenjia Wang, Yongtao Ge, Haiyi Mei, Zhongang Cai, Qingping Sun, Yanjun Wang, Chunhua Shen, Lei Yang, Taku Komura Paper ID:2663 |
| Wednesday 4th 01:30 PM-02:30 PM | Privacy, Security, Fairness, Explainability and Datasets | ACLS: Adaptive and Conditional Label Smoothing for Network Calibration Hyekang Park, Jongyoun Noh, Youngmin Oh, Donghyeon Baek, Bumsub Ham Paper ID:10410 |
| Wednesday 4th 01:30 PM-02:30 PM | Privacy, Security, Fairness, Explainability and Datasets | PGFed: Personalize Each Client's Global Objective for Federated Learning Jun Luo, Matias Mendieta, Chen Chen, Shandong Wu Paper ID:7061 |
| Wednesday 4th 01:30 PM-02:30 PM | Privacy, Security, Fairness, Explainability and Datasets | Overwriting Pretrained Bias with Finetuning Data Angelina Wang, Olga Russakovsky Paper ID:3956 |
| Wednesday 4th 01:30 PM-02:30 PM | Privacy, Security, Fairness, Explainability and Datasets | ITI-GEN: Inclusive Text-to-Image Generation Cheng Zhang, Xuanbai Chen, Siqi Chai, Chen Henry Wu, Dmitry Lagun, Thabo Beeler, Fernando De la Torre Paper ID:10327 |
| Wednesday 4th 01:30 PM-02:30 PM | Privacy, Security, Fairness, Explainability and Datasets | FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods Robin Hesse, Simone Schaub-Meyer, Stefan Roth Paper ID:6214 |
| Wednesday 4th 01:30 PM-02:30 PM | Privacy, Security, Fairness, Explainability and Datasets | X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events Bo Dai, Linge Wang, Baoxiong Jia, Zeyu Zhang, Song-Chun Zhu, Chi Zhang, Yixin Zhu Paper ID:6288 |
| Wednesday 4th 01:30 PM-02:30 PM | Privacy, Security, Fairness, Explainability and Datasets | Adaptive Testing of Computer Vision Models Irena Gao, Gabriel Ilharco, Scott Lundberg, Marco Tulio Ribeiro Paper ID:10972 |
Wednesday 4th 02:30 PM-04:30 PM - Posters
| Date & Time | Session | Paper Title Author·s Name·s |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | SAGA: Spectral Adversarial Geometric Attack on 3D Meshes Tomer Stolik, Itai Lang, Shai Avidan Paper ID:10225 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples Qiufan Ji, Lin Wang, Cong Shi, Shengshan Hu, Yingying Chen, Lichao Sun Paper ID:9741 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | ACTIVE: Towards Highly Transferable 3D Physical Camouflage for Universal and Robust Vehicle Evasion Naufal Suryanto, Yongsu Kim, Harashta Tatimma Larasati, Hyoeun Kang, Thi-Thu-Huong Le, Yoonyoung Hong, Hunmin Yang, Se-Yoon Oh, Howon Kim Paper ID:10422 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | Frequency-aware GAN for Adversarial Manipulation Generation Peifei Zhu, Genki Osada, Hirokatsu Kataoka, Tsubasa Takahashi Paper ID:10900 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | Breaking Temporal Consistency: Generating Video Universal Adversarial Perturbations Using Image Models Hee-Seon Kim, Minji Son, Minbeom Kim, Myung-Joon Kwon, Changick Kim Paper ID:10052 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence Han Fang, Jiyi Zhang, Yupeng Qiu, Jiayang Liu, Ke Xu, Chengfang Fang, Ee-Chien Chang Paper ID:5048 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | Downstream-agnostic Adversarial Examples Ziqi Zhou, Shengshan Hu, Ruizhi Zhao, Qian Wang, Leo Yu Zhang, Junhui Hou, Hai Jin Paper ID:10802 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | Hiding Visual Information via Obfuscating Adversarial Perturbations Zhigang Su, Dawei Zhou, Nannan Wang, Decheng Liu, Zhen Wang, Xinbo Gao Paper ID:9808 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | An Embarrassingly Simple Backdoor Attack on Self-supervised Learning Changjiang Li, Ren Pang, Zhaohan Xi, Tianyu Du, Shouling Ji, Yuan Yao, Ting Wang Paper ID:9337 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | Efficient Decision-based Black-box Patch Attacks on Video Recognition Kaixun Jiang, Zhaoyu Chen, Hao Huang, Jiafeng Wang, Dingkang Yang, Bo Li, Yan Wang, Wenqiang Zhang Paper ID:3369 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff Satoshi Suzuki, Shin'ya Yamaguchi, Shoichiro Takeda, Sekitoshi Kanai, Naoki Makishima, Atsushi Ando, Ryo Masumura Paper ID:10718 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | Towards Building More Robust Models with Frequency Bias Qingwen Bu, Dong Huang, Heming Cui Paper ID:9445 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack Ningfei Wang, Yunpeng Luo, Takami Sato, Kaidi Xu, Qi Alfred Chen Paper ID:9762 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning Kaijie Zhu, Xixu Hu, Jindong Wang, Xing Xie, Ge Yang Paper ID:10616 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation Xuannan Liu, Yaoyao Zhong, Yuhang Zhang, Lixiong Qin, Weihong Deng Paper ID:3166 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | Unified Adversarial Patch for Cross-Modal Attacks in the Physical World Xingxing Wei, Yao Huang, Yitong Sun, Jie Yu Paper ID:4896 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical World Donghua Wang, Wen Yao, Tingsong Jiang, Chao Li, Xiaoqian Chen Paper ID:4207 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware Minimization Mingli Zhu, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu Paper ID:4515 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | Conditional 360-degree Image Synthesis for Immersive Indoor Scene Decoration Ka Chun Shum, Hong-Wing Pang, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung Paper ID:6795 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability Bin Chen, Jiali Yin, Shukai Chen, Bohao Chen, Ximeng Liu Paper ID:7196 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning Byung-Kwan Lee, Junho Kim, Yong Man Ro Paper ID:5956 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | LEA2: A Lightweight Ensemble Adversarial Attack via Non-overlapping Vulnerable Frequency Regions Yaguan Qian, Shuke He, Chenyu Zhao, Jiaqiang Sha, Wei Wang, Bin Wang Paper ID:7184 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | Explaining Adversarial Robustness of Neural Networks from Clustering Effect Perspective Yulin Jin, Xiaoyu Zhang, Jian Lou, Xu Ma, Zilong Wang, Xiaofeng Chen Paper ID:11877 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | VertexSerum: Poisoning Graph Neural Networks for Link Inference Ruyi Ding, Shijin Duan, Xiaolin Xu, Yunsi Fei Paper ID:12033 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | How to Choose your Best Allies for a Transferable Attack? Thibault Maho, Seyed-Mohsen Moosavi-Dezfooli, Teddy Furon Paper ID:12135 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation Dongyoon Yang, Insung Kong, Yongdai Kim Paper ID:11705 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models Xinquan Chen, Xitong Gao, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu Paper ID:7043 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | F&F Attack: Adversarial Attack against Multiple Object Trackers by Inducing False Negatives and False Positives Tao Zhou, Qi Ye, Wenhan Luo, Kaihao Zhang, Zhiguo Shi, Jiming Chen Paper ID:1193 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | Rickrolling the Artist: Injecting Backdoors into Text Encoders for Text-to-Image Synthesis Lukas Struppek, Dominik Hintersdorf, Kristian Kersting Paper ID:6677 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient Zhengzhi Lu, He Wang, Ziyi Chang, Guoan Yang, Hubert P. H. Shum Paper ID:6837 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | Structure Invariant Transformation for better Adversarial Transferability Xiaosen Wang, Zeliang Zhang, Jianping Zhang Paper ID:7007 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | Beating Backdoor Attack at Its Own Game Min Liu, Alberto Sangiovanni-Vincentelli, Xiangyu Yue Paper ID:9258 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | Transferable Adversarial Attack for Both Vision Transformers and Convolutional Networks via Momentum Integrated Gradients Wenshuo Ma, Yidong Li, Xiaofeng Jia, Wei Xu Paper ID:11647 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | REAP: A Large-Scale Realistic Adversarial Patch Benchmark Nabeel Hingun, Chawin Sitawarin, Jerry Li, David Wagner Paper ID:5806 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | Multi-Metrics Adaptively Identifies Backdoors in Federated Learning Siquan Huang, Yijiang Li, Chong Chen, Leyu Shi, Ying Gao Paper ID:5207 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | Backpropagation Path Search On Adversarial Transferability Zhuoer Xu, Zhangxuan Gu, Jianping Zhang, Shiwen Cui, Changhua Meng, Weiqiang Wang Paper ID:4127 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback Teresa Yeo, O?uzhan Fatih Kar, Zahra Sodagar, Amir Zamir Paper ID:5339 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training Jianshuo Dong, Han Qiu, Yiming Li, Tianwei Zhang, Yuanjie Li, Zeqi Lai, Chao Zhang, Shu-Tao Xia Paper ID:11267 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | PolicyCleanse: Backdoor Detection and Mitigation for Competitive Reinforcement Learning Junfeng Guo, Ang Li, Lixu Wang, Cong Liu Paper ID:7247 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | Towards Viewpoint-Invariant Visual Recognition via Adversarial Training Shouwei Ruan, Yinpeng Dong, Hang Su, Jianteng Peng, Ning Chen, Xingxing Wei Paper ID:8856 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | Fast Adversarial Training with Smooth Convergence Mengnan Zhao, Lihe Zhang, Yuqiu Kong, Baocai Yin Paper ID:5483 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning Virat Shejwalkar, Lingjuan Lyu, Amir Houmansadr Paper ID:11465 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | Boosting Adversarial Transferability via Gradient Relevance Attack Hegui Zhu, Yuchen Ren, Xiaoyan Sui, Lianping Yang, Wuming Jiang Paper ID:5695 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | Towards Robust Model Watermark via Reducing Parametric Vulnerability Guanhao Gan, Yiming Li, Dongxian Wu, Shu-Tao Xia Paper ID:11557 |
| Wednesday 4th 02:30 PM-04:30 PM | Adversarial attack and defense | TRM-UAP: Enhancing the Transferability of Data-Free Universal Adversarial Perturbation via Truncated Ratio Maximization Yiran Liu, Xin Feng, Yunlong Wang, Wu Yang, Di Ming Paper ID:11359 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | Enhancing Privacy Preservation in Federated Learning via Learning Rate Perturbation Guangnian Wan, Haitao Du, Xuejing Yuan, Jun Yang, Meiling Chen, Jie Xu Paper ID:12063 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation Jie Zhang, Chen Chen, Weiming Zhuang, Lingjuan Lyu Paper ID:8907 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | FACTS: First Amplify Correlations and Then Slice to Discover Bias Sriram Yenamandra, Pratik Ramesh, Viraj Prabhu, Judy Hoffman Paper ID:1033 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | Computation and Data Efficient Backdoor Attacks Yutong Wu, Xingshuo Han, Han Qiu, Tianwei Zhang Paper ID:11236 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | Global Balanced Experts for Federated Long-Tailed Learning Yaopei Zeng, Lei Liu, Li Liu, Li Shen, Shaoguo Liu, Baoyuan Wu Paper ID:4562 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | Source-free Domain Adaptive Human Pose Estimation Qucheng Peng, Ce Zheng, Chen Chen Paper ID:4689 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | Gender Artifacts in Visual Datasets Nicole Meister, Dora Zhao, Angelina Wang, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky Paper ID:7337 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation Haokun Chen, Ahmed Frikha, Denis Krompass, Jindong Gu, Volker Tresp Paper ID:6320 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | zPROBE: Zero Peek Robustness Checks for Federated Learning Zahra Ghodsi, Mojan Javaheripi, Nojan Sheybani, Xinqiao Zhang, Ke Huang, Farinaz Koushanfar Paper ID:11535 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study Myeongseob Ko, Ming Jin, Chenguang Wang, Ruoxi Jia Paper ID:12431 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | FedPD: Federated Open Set Recognition with Parameter Disentanglement Chen Yang, Meilu Zhu, Yifan Liu, Yixuan Yuan Paper ID:5574 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | MUter: Machine Unlearning on Adversarially Trained Models Junxu Liu, Mingsheng Xue, Jian Lou, Xiaoyu Zhang, Li Xiong, Zhan Qin Paper ID:6961 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | Beyond Skin Tone: A Multidimensional Measure of Apparent Skin Color William Thong, Przemyslaw Joniak, Alice Xiang Paper ID:1808 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | A Multidimensional Analysis of Social Biases in Vision Transformers Jannik Brinkmann, Paul Swoboda, Christian Bartelt Paper ID:11696 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | Partition-And-Debias: Agnostic Biases Mitigation via a Mixture of Biases-Specific Experts Jiaxuan Li, Duc Minh Vo, Hideki Nakayama Paper ID:9141 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | Rethinking Data Distillation: Do Not Overlook Calibration Dongyao Zhu, Bowen Lei, Jie Zhang, Yanbo Fang, Yiqun Xie, Ruqi Zhang, Dongkuan Xu Paper ID:11852 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | Mining bias-target Alignment from Voronoi Cells Rémi Nahon, Van-Tam Nguyen, Enzo Tartaglione Paper ID:12014 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | Better May Not Be Fairer: A Study on Subgroup Discrepancy in Image Classification Ming-Chang Chiu, Pin-Yu Chen, Xuezhe Ma Paper ID:5276 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization Hao Fang, Bin Chen, Xuan Wang, Zhi Wang, Shu-Tao Xia Paper ID:6592 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation Hao Liang, Pietro Perona, Guha Balakrishnan Paper ID:5345 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning Guangyu Sun, Matias Mendieta, Jun Luo, Shandong Wu, Chen Chen Paper ID:6396 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | Towards Attack-tolerant Federated Learning via Critical Parameter Analysis Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha Paper ID:9186 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | What can Discriminator do? Towards Box-free Ownership Verification of Generative Adversarial Networks Ziheng Huang, Boheng Li, Yan Cai, Run Wang, Shangwei Guo, Liming Fang, Jing Chen, Lina Wang Paper ID:9569 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | Robust Heterogeneous Federated Learning under Data Corruption Xiuwen Fang, Mang Ye, Xiyuan Yang Paper ID:9551 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence Yuhao Zhou, Mingjia Shi, Yuanxi Li, Yanan Sun, Qing Ye, Jiancheng Lv Paper ID:9823 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao, Haibing Guan Paper ID:10757 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention Wenxuan Zeng, Meng Li, Wenjie Xiong, Tong Tong, Wen-jie Lu, Jin Tan, Runsheng Wang, Ru Huang Paper ID:10727 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | Identification of Systematic Errors of Image Classifiers on Rare Subgroups Jan Hendrik Metzen, Robin Hutmacher, N. Grace Hua, Valentyn Boreiko, Dan Zhang Paper ID:9923 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | Adaptive Image Anonymization in the Context of Image Classification with Neural Networks Nadiya Shvai, Arcadi Llanza Carmona, Amir Nakib Paper ID:10138 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | When Do Curricula Work in Federated Learning? Saeed Vahidian, Sreevatsank Kadaveru, Woonjoon Baek, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin Paper ID:10877 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | Domain Specified Optimization for Deployment Authorization Haotian Wang, Haoang Chi, Wenjing Yang, Zhipeng Lin, Mingyang Geng, Long Lan, Jing Zhang, Dacheng Tao Paper ID:6048 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition Ming Li, Xiangyu Xu, Hehe Fan, Pan Zhou, Jun Liu, Jia-Wei Liu, Jiahe Li, Jussi Keppo, Mike Zheng Shou, Shuicheng Yan Paper ID:3330 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation Yuke Zhang, Dake Chen, Souvik Kundu, Chenghao Li, Peter A. Beerel Paper ID:10438 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | Generative Gradient Inversion via Over-Parameterized Networks in Federated Learning Chi Zhang, Zhang Xiaoman, Ekanut Sotthiwat, Yanyu Xu, Ping Liu, Liangli Zhen, Yong Liu Paper ID:9835 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | Inspecting the Geographical Representativeness of Images from Text-to-Image Models Abhipsa Basu, R. Venkatesh Babu, Danish Pruthi Paper ID:10157 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | Divide and Conquer: a Two-Step Method for High Quality Face De-identification with Model Explainability Yunqian Wen, Bo Liu, Jingyi Cao, Rong Xie, Li Song Paper ID:9886 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | Exploring the Benefits of Visual Prompting in Differential Privacy Yizhe Li, Yu-Lin Tsai, Chia-Mu Yu, Pin-Yu Chen, Xuebin Ren Paper ID:11011 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | Towards Fairness-aware Adversarial Network Pruning Lei Zhang, Zhibo Wang, Xiaowei Dong, Yunhe Feng, Xiaoyi Pang, Zhifei Zhang, Kui Ren Paper ID:9419 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | AutoReP: Automatic ReLU Replacement for Fast Private Network Inference Hongwu Peng, Shaoyi Huang, Tong Zhou, Yukui Luo, Chenghong Wang, Zigeng Wang, Jiahui Zhao, Xi Xie, Ang Li, Tony Geng, Kaleel Mahmood, Wujie Wen, Xiaolin Xu, Caiwen Ding Paper ID:10276 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | Flatness-Aware Minimization for Domain Generalization Xingxuan Zhang, Renzhe Xu, Han Yu, Yancheng Dong, Pengfei Tian, Peng Cui Paper ID:2485 |
| Wednesday 4th 02:30 PM-04:30 PM | Fairness, privacy, ethics, social-good, transparency, accountability in vision | Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples Jingwei Sun, Ziyue Xu, Dong Yang, Vishwesh Nath, Wenqi Li, Can Zhao, Daguang Xu, Yiran Chen, Holger R. Roth Paper ID:9338 |
| Wednesday 4th 02:30 PM-04:30 PM | First person (egocentric) vision | Multimodal Distillation for Egocentric Action Recognition Gorjan Radevski, Dusan Grujicic, Matthew Blaschko, Marie-Francine Moens, Tinne Tuytelaars Paper ID:12277 |
| Wednesday 4th 02:30 PM-04:30 PM | First person (egocentric) vision | Self-Supervised Object Detection from Egocentric Videos Peri Akiva, Jing Huang, Kevin J Liang, Rama Kovvuri, Xingyu Chen, Matt Feiszli, Kristin Dana, Tal Hassner Paper ID:10254 |
| Wednesday 4th 02:30 PM-04:30 PM | First person (egocentric) vision | Multi-label Affordance Mapping from Egocentric Vision Lorenzo Mur-Labadia, Jose J. Guerrero, Ruben Martinez-Cantin Paper ID:12601 |
| Wednesday 4th 02:30 PM-04:30 PM | First person (egocentric) vision | Ego-Only: Egocentric Action Detection without Exocentric Transferring Huiyu Wang, Mitesh Kumar Singh, Lorenzo Torresani Paper ID:1054 |
| Wednesday 4th 02:30 PM-04:30 PM | First person (egocentric) vision | COPILOT: Human-Environment Collision Prediction and Localization from Egocentric Videos Boxiao Pan, Bokui Shen, Davis Rempe, Despoina Paschalidou, Kaichun Mo, Yanchao Yang, Leonidas J. Guibas Paper ID:3436 |
| Wednesday 4th 02:30 PM-04:30 PM | First person (egocentric) vision | EgoPCA: A New Framework for Egocentric Hand-Object Interaction Understanding Yue Xu, Yong-Lu Li, Zhemin Huang, Michael Xu Liu, Cewu Lu, Yu-Wing Tai, Chi-Keung Tang Paper ID:5232 |
| Wednesday 4th 02:30 PM-04:30 PM | First person (egocentric) vision | EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone Shraman Pramanick, Yale Song, Sayan Nag, Kevin Qinghong Lin, Hardik Shah, Mike Zheng Shou, Rama Chellappa, Pengchuan Zhang Paper ID:11180 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis Yiye Chen, Yunzhi Lin, Ruinian Xu, Patricio A. Vela Paper ID:12110 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | Pairwise Similarity Learning is SimPLE Yandong Wen, Weiyang Liu, Yao Feng, Bhiksha Raj, Rita Singh, Adrian Weller, Michael J. Black, Bernhard Schölkopf Paper ID:10034 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier Zexi Li, Xinyi Shang, Rui He, Tao Lin, Chao Wu Paper ID:1665 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | Generalizable Neural Fields as Partially Observed Neural Processes Jeffrey Gu, Kuan-Chieh Wang, Serena Yeung Paper ID:11645 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | M2T: Masking Transformers Twice for Faster Decoding Fabian Mentzer, Eirikur Agustson, Michael Tschannen Paper ID:1776 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | Keep It SimPool: Who Said Supervised Transformers Suffer from Attention Deficit? Bill Psomas, Ioannis Kakogeorgiou, Konstantinos Karantzalos, Yannis Avrithis Paper ID:1724 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | Improving Pixel-based MIM by Reducing Wasted Modeling Capability Yuan Liu, Songyang Zhang, Jiacheng Chen, Zhaohui Yu, Kai Chen, Dahua Lin Paper ID:1155 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | Learning Image-Adaptive Codebooks for Class-Agnostic Image Restoration Kechun Liu, Yitong Jiang, Inchang Choi, Jinwei Gu Paper ID:10266 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | Quality Diversity for Visual Pre-Training Ruchika Chavhan, Henry Gouk, Da Li, Timothy Hospedales Paper ID:10152 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | Subclass-balancing Contrastive Learning for Long-tailed Recognition Chengkai Hou, Jieyu Zhang, Haonan Wang, Tianyi Zhou Paper ID:9664 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | Mastering Spatial Graph Prediction of Road Networks Anagnostidis Sotiris, Aurelien Lucchi, Thomas Hofmann Paper ID:10911 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | Poincaré ResNet Max van Spengler, Erwin Berkhout, Pascal Mettes Paper ID:10230 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | Exploring Model Transferability through the Lens of Potential Energy Xiaotong Li, Zixuan Hu, Yixiao Ge, Ying Shan, Ling-Yu Duan Paper ID:2376 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | Improving CLIP Fine-tuning Performance Yixuan Wei, Han Hu, Zhenda Xie, Ze Liu, Zheng Zhang, Yue Cao, Jianmin Bao, Dong Chen, Baining Guo Paper ID:10924 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | Unsupervised Manifold Linearizing and Clustering Tianjiao Ding, Shengbang Tong, Kwan Ho Ryan Chan, Xili Dai, Yi Ma, Benjamin D. Haeffele Paper ID:9756 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | Generalized Sum Pooling for Metric Learning Yeti Z. Gürbüz, Ozan Sener, A. Aydin Alatan Paper ID:11935 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis Ke Liu, Feng Liu, Haishuai Wang, Ning Ma, Jiajun Bu, Bo Han Paper ID:11371 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | The Effectiveness of MAE Pre-Pretraining for Billion-Scale Pretraining Mannat Singh, Quentin Duval, Kalyan Vasudev Alwala, Haoqi Fan, Vaibhav Aggarwal, Aaron Adcock, Armand Joulin, Piotr Dollar, Christoph Feichtenhofer, Ross Girshick, Rohit Girdhar, Ishan Misra Paper ID:20 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | Token-Label Alignment for Vision Transformers Han Xiao, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu Paper ID:2836 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | Efficiently Robustify Pre-Trained Models Nishant Jain, Harkirat Behl, Yogesh Singh Rawat, Vibhav Vineet Paper ID:7077 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | OFVL-MS: Once for Visual Localization across Multiple Indoor Scenes Tao Xie, Kun Dai, Siyi Lu, Ke Wang, Zhiqiang Jiang, Jinghan Gao, Dedong Liu, Jie Xu, Lijun Zhao, Ruifeng Li Paper ID:6728 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | Feature Prediction Diffusion Model for Video Anomaly Detection Cheng Yan, Shiyu Zhang, Yang Liu, Guansong Pang, Wenjun Wang Paper ID:6662 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | Joint Implicit Neural Representation for High-fidelity and Compact Vector Fonts Chia-Hao Chen, Ying-Tian Liu, Zhifei Zhang, Yuan-Chen Guo, Song-Hai Zhang Paper ID:4407 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability Zijian Wang, Yadan Luo, Liang Zheng, Zi Huang, Mahsa Baktashmotlagh Paper ID:3526 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions Chengkun Wang, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu Paper ID:5996 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | Perceptual Grouping in Contrastive Vision-Language Models Kanchana Ranasinghe, Brandon McKinzie, Sachin Ravi, Yinfei Yang, Alexander Toshev, Jonathon Shlens Paper ID:5241 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | Fully Attentional Networks with Self-emerging Token Labeling Bingyin Zhao, Zhiding Yu, Shiyi Lan, Yutao Cheng, Anima Anandkumar, Yingjie Lao, Jose M. Alvarez Paper ID:5306 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | Instance and Category Supervision are Alternate Learners for Continual Learning Xudong Tian, Zhizhong Zhang, Xin Tan, Jun Liu, Chengjie Wang, Yanyun Qu, Guannan Jiang, Yuan Xie Paper ID:5375 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence Pre-training Hong Yan, Yang Liu, Yushen Wei, Zhen Li, Guanbin Li, Liang Lin Paper ID:5604 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | Motion-Guided Masking for Spatiotemporal Representation Learning David Fan, Jue Wang, Shuai Liao, Yi Zhu, Vimal Bhat, Hector Santos-Villalobos, Rohith MV, Xinyu Li Paper ID:5547 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | Data Augmented Flatness-aware Gradient Projection for Continual Learning Enneng Yang, Li Shen, Zhenyi Wang, Shiwei Liu, Guibing Guo, Xingwei Wang Paper ID:5545 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models Ziyi Wang, Xumin Yu, Yongming Rao, Jie Zhou, Jiwen Lu Paper ID:5236 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | BiViT: Extremely Compressed Binary Vision Transformers Yefei He, Zhenyu Lou, Luoming Zhang, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang Paper ID:8702 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | Spatio-Temporal Crop Aggregation for Video Representation Learning Sepehr Sameni, Simon Jenni, Paolo Favaro Paper ID:6183 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | Hierarchical Visual Primitive Experts for Compositional Zero-Shot Learning Hanjae Kim, Jiyoung Lee, Seongheon Park, Kwanghoon Sohn Paper ID:8933 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | Semantic Information in Contrastive Learning Shengjiang Quan, Masahiro Hirano, Yuji Yamakawa Paper ID:9172 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | Cross-Domain Product Representation Learning for Rich-Content E-Commerce Xuehan Bai, Yan Li, Yanhua Cheng, Wenjie Yang, Quan Chen, Han Li Paper ID:3162 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | Contrastive Continuity on Augmentation Stability Rehearsal for Continual Self-Supervised Learning Haoyang Cheng, Haitao Wen, Xiaoliang Zhang, Heqian Qiu, Lanxiao Wang, Hongliang Li Paper ID:9181 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | HybridAugment++: Unified Frequency Spectra Perturbations for Model Robustness Mehmet Kerim Yucel, Ramazan Gokberk Cinbis, Pinar Duygulu Paper ID:8982 |
| Wednesday 4th 02:30 PM-04:30 PM | Representation learning | Unleashing Text-to-Image Diffusion Models for Visual Perception Wenliang Zhao, Yongming Rao, Zuyan Liu, Benlin Liu, Jie Zhou, Jiwen Lu Paper ID:3043 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | Efficient Controllable Multi-Task Architectures Abhishek Aich, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker, Yumin Suh Paper ID:1 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | ParCNetV2: Oversized Kernel with Enhanced Attention Ruihan Xu, Haokui Zhang, Wenze Hu, Shiliang Zhang, Xiaoyu Wang Paper ID:9809 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | Unleashing the Power of Gradient Signal-to-Noise Ratio for Zero-Shot NAS Zihao Sun, Yu Sun, Longxing Yang, Shun Lu, Jilin Mei, Wenxiao Zhao, Yu Hu Paper ID:9716 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer Fudong Lin, Summer Crawford, Kaleb Guillot, Yihe Zhang, Yan Chen, Xu Yuan, Li Chen, Shelby Williams, Robert Minvielle, Xiangming Xiao, Drew Gholson, Nicolas Ashwell, Tri Setiyono, Brenda Tubana, Lu Peng, Magdy Bayoumi, Nian-Feng Tzeng Paper ID:9628 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | FastViT: A Fast Hybrid Vision Transformer Using Structural Reparameterization Pavan Kumar Anasosalu Vasu, James Gabriel, Jeff Zhu, Oncel Tuzel, Anurag Ranjan Paper ID:9078 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | IIEU: Rethinking Neural Feature Activation from Decision-Making Sudong Cai Paper ID:8934 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | Scratching Visual Transformer's Back with Uniform Attention Nam Hyeon-Woo, Kim Yu-Ji, Byeongho Heo, Dongyoon Han, Seong Joon Oh, Tae-Hyun Oh Paper ID:8751 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference Xudong Wang, Li Lyna Zhang, Jiahang Xu, Quanlu Zhang, Yujing Wang, Yuqing Yang, Ningxin Zheng, Ting Cao, Mao Yang Paper ID:7317 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices Chen Tang, Li Lyna Zhang, Huiqiang Jiang, Jiahang Xu, Ting Cao, Quanlu Zhang, Yuqing Yang, Zhi Wang, Mao Yang Paper ID:7312 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | Gramian Attention Heads are Strong yet Efficient Vision Learners Jongbin Ryu, Dongyoon Han, Jongwoo Lim Paper ID:7292 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones Yulin Wang, Yang Yue, Rui Lu, Tianjiao Liu, Zhao Zhong, Shiji Song, Gao Huang Paper ID:7258 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | Ord2Seq: Regarding Ordinal Regression as Label Sequence Prediction Jinhong Wang, Yi Cheng, Jintai Chen, TingTing Chen, Danny Chen, Jian Wu Paper ID:2650 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning Shipeng Bai, Jun Chen, Xintian Shen, Yixuan Qian, Yong Liu Paper ID:2796 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | LaPE: Layer-adaptive Position Embedding for Vision Transformers with Independent Layer Normalization Runyi Yu, Zhennan Wang, Yinhuai Wang, Kehan Li, Chang Liu, Haoyi Duan, Xiangyang Ji, Jie Chen Paper ID:6976 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | Exemplar-Free Continual Transformer with Convolutions Anurag Roy, Vinay K. Verma, Sravan Voonna, Kripabandhu Ghosh, Saptarshi Ghosh, Abir Das Paper ID:6950 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | Building Vision Transformers with Hierarchy Aware Feature Aggregation Yongjie Chen, Hongmin Liu, Haoran Yin, Bin Fan Paper ID:6791 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | ShiftNAS: Improving One-shot NAS via Probability Shift Mingyang Zhang, Xinyi Yu, Haodong Zhao, Linlin Ou Paper ID:6530 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | DarSwin: Distortion Aware Radial Swin Transformer Akshaya Athwale, Arman Afrasiyabi, Justin Lagüe, Ichrak Shili, Ola Ahmad, Jean-François Lalonde Paper ID:6488 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation Xiaoxing Wang, Xiangxiang Chu, Yuda Fan, Zhexi Zhang, Bo Zhang, Xiaokang Yang, Junchi Yan Paper ID:6478 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | FDViT: Improve the Hierarchical Architecture of Vision Transformer Yixing Xu, Chao Li, Dong Li, Xiao Sheng, Fan Jiang, Lu Tian, Ashish Sirasao Paper ID:6081 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | FLatten Transformer: Vision Transformer using Focused Linear Attention Dongchen Han, Xuran Pan, Yizeng Han, Shiji Song, Gao Huang Paper ID:6040 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | MixPath: A Unified Approach for One-shot Neural Architecture Search Xiangxiang Chu, Shun Lu, Xudong Li, Bo Zhang Paper ID:6030 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | SSF: Accelerating Training of Spiking Neural Networks with Stabilized Spiking Flow Jingtao Wang, Zengjie Song, Yuxi Wang, Jun Xiao, Yuran Yang, Shuqi Mei, Zhaoxiang Zhang Paper ID:5642 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | Dynamic Perceiver for Efficient Visual Recognition Yizeng Han, Dongchen Han, Zeyu Liu, Yulin Wang, Xuran Pan, Yifan Pu, Chao Deng, Junlan Feng, Shiji Song, Gao Huang Paper ID:5484 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | SG-Former: Self-guided Transformer with Evolving Token Reallocation Sucheng Ren, Xingyi Yang, Songhua Liu, Xinchao Wang Paper ID:5237 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | Scale-Aware Modulation Meet Transformer Weifeng Lin, Ziheng Wu, Jiayu Chen, Jun Huang, Lianwen Jin Paper ID:4954 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | Learning to Upsample by Learning to Sample Wenze Liu, Hao Lu, Hongtao Fu, Zhiguo Cao Paper ID:3716 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | GET: Group Event Transformer for Event-Based Vision Yansong Peng, Yueyi Zhang, Zhiwei Xiong, Xiaoyan Sun, Feng Wu Paper ID:4816 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | Adaptive Frequency Filters As Efficient Global Token Mixers Zhipeng Huang, Zhizheng Zhang, Cuiling Lan, Zheng-Jun Zha, Yan Lu, Baining Guo Paper ID:1854 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | Fcaformer: Forward Cross Attention in Hybrid Vision Transformer Haokui Zhang, Wenze Hu, Xiaoyu Wang Paper ID:9822 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | Dynamic Snake Convolution Based on Topological Geometric Constraints for Tubular Structure Segmentation Yaolei Qi, Yuting He, Xiaoming Qi, Yuan Zhang, Guanyu Yang Paper ID:4302 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | Sentence Attention Blocks for Answer Grounding Seyedalireza Khoshsirat, Chandra Kambhamettu Paper ID:11412 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | MST-compression: Compressing and Accelerating Binary Neural Networks with Minimum Spanning Tree Quang Hieu Vo, Linh-Tam Tran, Sung-Ho Bae, Lok-Won Kim, Choong Seon Hong Paper ID:11850 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | EGformer: Equirectangular Geometry-biased Transformer for 360 Depth Estimation Ilwi Yun, Chanyong Shin, Hyunku Lee, Hyuk-Jae Lee, Chae Eun Rhee Paper ID:12055 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | SPANet: Frequency-balancing Token Mixer using Spectral Pooling Aggregation Modulation Guhnoo Yun, Juhan Yoo, Kijung Kim, Jeongho Lee, Dong Hwan Kim Paper ID:10847 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | ModelGiF: Gradient Fields for Model Functional Distance Jie Song, Zhengqi Xu, Sai Wu, Gang Chen, Mingli Song Paper ID:10723 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | ClusT3: Information Invariant Test-Time Training Gustavo A. Vargas Hakim, David Osowiechi, Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Ismail Ben Ayed, Christian Desrosiers Paper ID:12327 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | Cumulative Spatial Knowledge Distillation for Vision Transformers Borui Zhao, Renjie Song, Jiajun Liang Paper ID:1213 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | Luminance-aware Color Transform for Multiple Exposure Correction Jong-Hyeon Baek, DaeHyun Kim, Su-Min Choi, Hyo-jun Lee, Hanul Kim, Yeong Jun Koh Paper ID:11784 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks Qingyan Meng, Mingqing Xiao, Shen Yan, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo Paper ID:10305 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters Mateusz Michalkiewicz, Masoud Faraki, Xiang Yu, Manmohan Chandraker, Mahsa Baktashmotlagh Paper ID:12369 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | DOT: A Distillation-Oriented Trainer Borui Zhao, Quan Cui, Renjie Song, Jiajun Liang Paper ID:1211 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | Extensible and Efficient Proxy for Neural Architecture Search Yuhong Li, Jiajie Li, Cong Hao, Pan Li, Jinjun Xiong, Deming Chen Paper ID:12482 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | Learning to Transform for Generalizable Instance-wise Invariance Utkarsh Singhal, Carlos Esteves, Ameesh Makadia, Stella X. Yu Paper ID:12600 |
| Wednesday 4th 02:30 PM-04:30 PM | Deep learning architectures | Convolutional Networks with Oriented 1D Kernels Alexandre Kirchmeyer, Jia Deng Paper ID:10256 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Random Boxes Are Open-world Object Detectors Yanghao Wang, Zhongqi Yue, Xian-Sheng Hua, Hanwang Zhang Paper ID:10063 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Unleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection Yuxin Fang, Shusheng Yang, Shijie Wang, Yixiao Ge, Ying Shan, Xinggang Wang Paper ID:6817 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | CoIn: Contrastive Instance Feature Mining for Outdoor 3D Object Detection with Very Limited Annotations Qiming Xia, Jinhao Deng, Chenglu Wen, Hai Wu, Shaoshuai Shi, Xin Li, Cheng Wang Paper ID:9842 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | A Dynamic Dual-Processing Object Detection Framework Inspired by the Brain's Recognition Mechanism Minying Zhang, Tianpeng Bu, Lulu Hu Paper ID:9689 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Anchor-Intermediate Detector: Decoupling and Coupling Bounding Boxes for Accurate Object Detection Yilong Lv, Min Li, Yujie He, Shaopeng Li, Zhuzhen He, Aitao Yang Paper ID:10590 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Inter-Realization Channels: Unsupervised Anomaly Detection Beyond One-Class Classification Declan McIntosh, Alexandra Branzan Albu Paper ID:10342 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Deep Equilibrium Object Detection Shuai Wang, Yao Teng, Limin Wang Paper ID:9856 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | RecursiveDet: End-to-End Region-Based Recursive Object Detection Jing Zhao, Li Sun, Qingli Li Paper ID:6827 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Small Object Detection via Coarse-to-fine Proposal Generation and Imitation Learning Xiang Yuan, Gong Cheng, Kebing Yan, Qinghua Zeng, Junwei Han Paper ID:7010 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | ASAG: Building Strong One-Decoder-Layer Sparse Detectors via Adaptive Sparse Anchor Generation Shenghao Fu, Junkai Yan, Yipeng Gao, Xiaohua Xie, Wei-Shi Zheng Paper ID:9530 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts Xiaofeng Mao, Yuefeng Chen, Yao Zhu, Da Chen, Hang Su, Rong Zhang, Hui Xue Paper ID:9520 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Generative Prompt Model for Weakly Supervised Object Localization Yuzhong Zhao, Qixiang Ye, Weijia Wu, Chunhua Shen, Fang Wan Paper ID:10524 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | UniKD: Universal Knowledge Distillation for Mimicking Homogeneous or Heterogeneous Object Detectors Shanshan Lao, Guanglu Song, Boxiao Liu, Yu Liu, Yujiu Yang Paper ID:8836 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | PNI : Industrial Anomaly Detection using Position and Neighborhood Information Jaehyeok Bae, Jae-Han Lee, Seyun Kim Paper ID:7146 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Masked Autoencoders Are Stronger Knowledge Distillers Shanshan Lao, Guanglu Song, Boxiao Liu, Yu Liu, Yujiu Yang Paper ID:8816 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | GPA-3D: Geometry-aware Prototype Alignment for Unsupervised Domain Adaptive 3D Object Detection from Point Clouds Ziyu Li, Jingming Guo, Tongtong Cao, Liu Bingbing, Wankou Yang Paper ID:8765 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | ADNet: Lane Shape Prediction via Anchor Decomposition Lingyu Xiao, Xiang Li, Sen Yang, Wankou Yang Paper ID:8839 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Periodically Exchange Teacher-Student for Source-Free Object Detection Qipeng Liu, Luojun Lin, Zhifeng Shen, Zhifeng Yang Paper ID:11317 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Towards Fair and Comprehensive Comparisons for Image-Based 3D Object Detection Xinzhu Ma, Yongtao Wang, Yinmin Zhang, Zhiyi Xia, Yuan Meng, Zhihui Wang, Haojie Li, Wanli Ouyang Paper ID:8926 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver Xianpeng Liu, Ce Zheng, Kelvin B Cheng, Nan Xue, Guo-Jun Qi, Tianfu Wu Paper ID:7488 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Template-guided Hierarchical Feature Restoration for Anomaly Detection Hewei Guo, Liping Ren, Jingjing Fu, Yuwang Wang, Zhizheng Zhang, Cuiling Lan, Haoqian Wang, Xinwen Hou Paper ID:8824 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | ALWOD: Active Learning for Weakly-Supervised Object Detection Yuting Wang, Velibor Ilic, Jiatong Li, Branislav Kisa?anin, Vladimir Pavlovic Paper ID:9085 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | ProtoFL: Unsupervised Federated Learning via Prototypical Distillation Hansol Kim, Youngjun Kwak, Minyoung Jung, Jinho Shin, Youngsung Kim, Changick Kim Paper ID:11622 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Efficient Adaptive Human-Object Interaction Detection with Concept-guided Memory Ting Lei, Fabian Caba, Qingchao Chen, Hailin Jin, Yuxin Peng, Yang Liu Paper ID:9193 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Detection Transformer with Stable Matching Shilong Liu, Tianhe Ren, Jiayu Chen, Zhaoyang Zeng, Hao Zhang, Feng Li, Hongyang Li, Jun Huang, Hang Su, Jun Zhu, Lei Zhang Paper ID:9211 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Distilling DETR with Visual-Linguistic Knowledge for Open-Vocabulary Object Detection Liangqi Li, Jiaxu Miao, Dahu Shi, Wenming Tan, Ye Ren, Yi Yang, Shiliang Pu Paper ID:9248 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Anomaly Detection Under Distribution Shift Tri Cao, Jiawen Zhu, Guansong Pang Paper ID:10957 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Detecting Objects with Context-Likelihood Graphs and Graph Refinement Aritra Bhowmik, Yu Wang, Nora Baka, Martin R. Oswald, Cees G. M. Snoek Paper ID:10932 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Unsupervised Object Localization with Representer Point Selection Yeonghwan Song, Seokwoo Jang, Dina Katabi, Jeany Son Paper ID:7277 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | DETR Does Not Need Multi-Scale or Locality Design Yutong Lin, Yuhui Yuan, Zheng Zhang, Chen Li, Nanning Zheng, Han Hu Paper ID:9303 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Deep Directly-Trained Spiking Neural Networks for Object Detection Qiaoyi Su, Yuhong Chou, Yifan Hu, Jianing Li, Shijie Mei, Ziyang Zhang, Guoqi Li Paper ID:12729 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | GACE: Geometry Aware Confidence Enhancement for Black-Box 3D Object Detectors on LiDAR-Data David Schinagl, Georg Krispel, Christian Fruhwirth-Reisinger, Horst Possegger, Horst Bischof Paper ID:6747 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | StageInteractor: Query-based Object Detector with Cross-stage Interaction Yao Teng, Haisong Liu, Sheng Guo, Limin Wang Paper ID:5666 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Adaptive Rotated Convolution for Rotated Object Detection Yifan Pu, Yiru Wang, Zhuofan Xia, Yizeng Han, Yulin Wang, Weihao Gan, Zidong Wang, Shiji Song, Gao Huang Paper ID:3756 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Decoupled DETR: Spatially Disentangling Localization and Classification for Improved End-to-End Object Detection Manyuan Zhang, Guanglu Song, Yu Liu, Hongsheng Li Paper ID:5565 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Exploring Transformers for Open-world Instance Segmentation Jiannan Wu, Yi Jiang, Bin Yan, Huchuan Lu, Zehuan Yuan, Ping Luo Paper ID:1433 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | DDG-Net: Discriminability-Driven Graph Network for Weakly-supervised Temporal Action Localization Xiaojun Tang, Junsong Fan, Chuanchen Luo, Zhaoxiang Zhang, Man Zhang, Zongyuan Yang Paper ID:1449 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Group DETR: Fast DETR Training with Group-Wise One-to-Many Assignment Qiang Chen, Xiaokang Chen, Jian Wang, Shan Zhang, Kun Yao, Haocheng Feng, Junyu Han, Errui Ding, Gang Zeng, Jingdong Wang Paper ID:2612 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Category-aware Allocation Transformer for Weakly Supervised Object Localization Zhiwei Chen, Jinren Ding, Liujuan Cao, Yunhang Shen, Shengchuan Zhang, Guannan Jiang, Rongrong Ji Paper ID:4038 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | The Devil is in the Crack Orientation: A New Perspective for Crack Detection Zhuangzhuang Chen, Jin Zhang, Zhuonan Lai, Guanming Zhu, Zun Liu, Jie Chen, Jianqiang Li Paper ID:5424 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Clusterformer: Cluster-based Transformer for 3D Object Detection in Point Clouds Yu Pei, Xian Zhao, Hao Li, Jingyuan Ma, Jingwei Zhang, Shiliang Pu Paper ID:1647 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Less is More: Focus Attention for Efficient DETR Dehua Zheng, Wenhui Dong, Hailin Hu, Xinghao Chen, Yunhe Wang Paper ID:5415 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | DFA3D: 3D Deformable Attention For 2D-to-3D Feature Lifting Hongyang Li, Hao Zhang, Zhaoyang Zeng, Shilong Liu, Feng Li, Tianhe Ren, Lei Zhang Paper ID:2501 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Multi-Label Self-Supervised Learning with Scene Images Ke Zhu, Minghao Fu, Jianxin Wu Paper ID:4261 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Cascade-DETR: Delving into High-Quality Universal Object Detection Mingqiao Ye, Lei Ke, Siyuan Li, Yu-Wing Tai, Chi-Keung Tang, Martin Danelljan, Fisher Yu Paper ID:2450 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Representation Disparity-aware Distillation for 3D Object Detection Yanjing Li, Sheng Xu, Mingbao Lin, Jihao Yin, Baochang Zhang, Xianbin Cao Paper ID:5372 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light Vision Khurram Azeem Hashmi, Goutham Kallempudi, Didier Stricker, Muhammad Zeshan Afzal Paper ID:1695 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds Tao Ma, Xuemeng Yang, Hongbin Zhou, Xin Li, Botian Shi, Junjie Liu, Yuchen Yang, Zhizheng Liu, Liang He, Yu Qiao, Yikang Li, Hongsheng Li Paper ID:4378 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | DETRs with Collaborative Hybrid Assignments Training Zhuofan Zong, Guanglu Song, Yu Liu Paper ID:4390 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Open-Vocabulary Object Detection With an Open Corpus Jiong Wang, Huiming Zhang, Haiwen Hong, Xuan Jin, Yuan He, Hui Xue, Zhou Zhao Paper ID:1745 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | SparseDet: Improving Sparsely Annotated Object Detection with Pseudo-positive Mining Saksham Suri, Saketh Rambhatla, Rama Chellappa, Abhinav Shrivastava Paper ID:1897 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model Xinyi Zhang, Naiqi Li, Jiawei Li, Tao Dai, Yong Jiang, Shu-Tao Xia Paper ID:5036 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation Haiyang Wang, Hao Tang, Shaoshuai Shi, Aoxue Li, Zhenguo Li, Bernt Schiele, Liwei Wang Paper ID:2280 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Detection Xincheng Yao, Ruoqi Li, Zefeng Qian, Yan Luo, Chongyang Zhang Paper ID:4815 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection Junkai Xu, Liang Peng, Haoran Cheng, Hao Li, Wei Qian, Ke Li, Wenxiao Wang, Deng Cai Paper ID:5698 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection Feng Liu, Xiaosong Zhang, Zhiliang Peng, Zonghao Guo, Fang Wan, Xiangyang Ji, Qixiang Ye Paper ID:4975 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Generating Dynamic Kernels via Transformers for Lane Detection Ziye Chen, Yu Liu, Mingming Gong, Bo Du, Guoqi Qian, Kate Smith-Miles Paper ID:5800 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Meta-ZSDETR: Zero-shot DETR with Meta-learning Lu Zhang, Chenbo Zhang, Jiajia Zhao, Jihong Guan, Shuigeng Zhou Paper ID:12559 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Spatial Self-Distillation for Object Detection with Inaccurate Bounding Boxes Di Wu, Pengfei Chen, Xuehui Yu, Guorong Li, Zhenjun Han, Jianbin Jiao Paper ID:6268 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | AlignDet: Aligning Pre-training and Fine-tuning in Object Detection Ming Li, Jie Wu, Xionghui Wang, Chen Chen, Jie Qin, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan Paper ID:3394 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | MULLER: Multilayer Laplacian Resizer for Vision Zhengzhong Tu, Peyman Milanfar, Hossein Talebi Paper ID:3729 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Unilaterally Aggregated Contrastive Learning with Hierarchical Augmentation for Anomaly Detection Guodong Wang, Yunhong Wang, Jie Qin, Dongming Zhang, Xiuguo Bao, Di Huang Paper ID:6180 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | DETRDistill: A Universal Knowledge Distillation Framework for DETR-families Jiahao Chang, Shuo Wang, Hai-Ming Xu, Zehui Chen, Chenhongyi Yang, Feng Zhao Paper ID:6158 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Delving into Motion-Aware Matching for Monocular 3D Object Tracking Kuan-Chih Huang, Ming-Hsuan Yang, Yi-Hsuan Tsai Paper ID:3395 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | FB-BEV: BEV Representation from Forward-Backward View Transformations Zhiqi Li, Zhiding Yu, Wenhai Wang, Anima Anandkumar, Tong Lu, Jose M. Alvarez Paper ID:2827 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Learning from Noisy Data for Semi-Supervised 3D Object Detection Zehui Chen, Zhenyu Li, Shuo Wang, Dengpan Fu, Feng Zhao Paper ID:1271 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Boosting Long-tailed Object Detection via Step-wise Learning on Smooth-tail Data Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee Paper ID:5942 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Objects Do Not Disappear: Video Object Detection by Single-Frame Object Location Anticipation Xin Liu, Fatemeh Karimi Nejadasl, Jan C. van Gemert, Olaf Booij, Silvia L. Pintea Paper ID:6385 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Unified Visual Relationship Detection with Vision and Language Models Long Zhao, Liangzhe Yuan, Boqing Gong, Yin Cui, Florian Schroff, Ming-Hsuan Yang, Hartwig Adam, Ting Liu Paper ID:3683 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Universal Domain Adaptation via Compressive Attention Matching Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Kun Kuang, Chao Wu Paper ID:2931 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Unsupervised Domain Adaptive Detection with Network Stability Analysis Wenzhang Zhou, Heng Fan, Tiejian Luo, Libo Zhang Paper ID:6712 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | ImGeoNet: Image-induced Geometry-aware Voxel Representation for Multi-view 3D Object Detection Tao Tu, Shun-Po Chuang, Yu-Lun Liu, Cheng Sun, Ke Zhang, Donna Roy, Cheng-Hao Kuo, Min Sun Paper ID:2631 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition: Detection | Cyclic-Bootstrap Labeling for Weakly Supervised Object Detection Yufei Yin, Jiajun Deng, Wengang Zhou, Li Li, Houqiang Li Paper ID:6291 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Text-Driven Generative Domain Adaptation with Spectral Consistency Regularization Zhenhuan Liu, Liang Li, Jiayu Xiao, Zheng-Jun Zha, Qingming Huang Paper ID:7210 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | MosaiQ: Quantum Generative Adversarial Networks for Image Generation on NISQ Computers Daniel Silver, Tirthak Patel, William Cutler, Aditya Ranjan, Harshitta Gandhi, Devesh Tiwari Paper ID:9595 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Controllable Visual-Tactile Synthesis Ruihan Gao, Wenzhen Yuan, Jun-Yan Zhu Paper ID:1910 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Editing Implicit Assumptions in Text-to-Image Diffusion Models Hadas Orgad, Bahjat Kawar, Yonatan Belinkov Paper ID:9476 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | DINAR: Diffusion Inpainting of Neural Textures for One-Shot Human Avatars David Svitov, Dmitrii Gudkov, Renat Bashirov, Victor Lempitsky Paper ID:8945 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Smoothness Similarity Regularization for Few-Shot GAN Adaptation Vadim Sushko, Ruyu Wang, Juergen Gall Paper ID:9008 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | HSR-Diff: Hyperspectral Image Super-Resolution via Conditional Diffusion Models Chanyue Wu, Dong Wang, Yunpeng Bai, Hanyu Mao, Ying Li, Qiang Shen Paper ID:2163 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Long-Term Photometric Consistent Novel View Synthesis with Diffusion Models Jason J. Yu, Fereshteh Forghani, Konstantinos G. Derpanis, Marcus A. Brubaker Paper ID:8629 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration Lijiang Li, Huixia Li, Xiawu Zheng, Jie Wu, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan, Fei Chao, Rongrong Ji Paper ID:7339 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | GaFET: Learning Geometry-aware Facial Expression Translation from In-The-Wild Images Tianxiang Ma, Bingchuan Li, Qian He, Jing Dong, Tieniu Tan Paper ID:1998 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Collecting The Puzzle Pieces: Disentangled Self-Driven Human Pose Transfer by Permuting Textures Nannan Li, Kevin J Shih, Bryan A. Plummer Paper ID:9343 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Multi-Directional Subspace Editing in Style-Space Chen Naveh Paper ID:10190 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | HyperReenact: One-Shot Reenactment via Jointly Learning to Refine and Retarget Faces Stella Bounareli, Christos Tzelepis, Vasileios Argyriou, Ioannis Patras, Georgios Tzimiropoulos Paper ID:10161 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Generating Realistic Images from In-the-wild Sounds Taegyeong Lee, Jeonghun Kang, Hyeonyu Kim, Taehwan Kim Paper ID:11503 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | CC3D: Layout-Conditioned Generation of Compositional 3D Scenes Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Xingguang Yan, Gordon Wetzstein, Leonidas Guibas, Andrea Tagliasacchi Paper ID:11606 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | UMFuse: Unified Multi View Fusion for Human Editing Applications Rishabh Jain, Mayur Hemani, Duygu Ceylan, Krishna Kumar Singh, Jingwan Lu, Mausoom Sarkar, Balaji Krishnamurthy Paper ID:11607 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Evaluating Data Attribution for Text-to-Image Models Sheng-Yu Wang, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang Paper ID:1467 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Neural Characteristic Function Learning for Conditional Image Generation Shengxi Li, Jialu Zhang, Yifei Li, Mai Xu, Xin Deng, Li Li Paper ID:11837 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | WaveIPT: Joint Attention and Flow Alignment in the Wavelet domain for Pose Transfer Liyuan Ma, Tingwei Gao, Haitian Jiang, Haibin Shen, Kejie Huang Paper ID:1413 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models Junyi Zhang, Jiaqi Guo, Shizhao Sun, Jian-Guang Lou, Dongmei Zhang Paper ID:1567 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Human-Inspired Facial Sketch Synthesis with Dynamic Adaptation Fei Gao, Yifan Zhu, Chang Jiang, Nannan Wang Paper ID:11934 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Conceptual and Hierarchical Latent Space Decomposition for Face Editing Savas Ozkan, Mete Ozay, Tom Robinson Paper ID:12214 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Improving Diversity in Zero-Shot GAN Adaptation with Semantic Variations Seogkyu Jeon, Bei Liu, Pilhyeon Lee, Kibeom Hong, Jianlong Fu, Hyeran Byun Paper ID:1208 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | BallGAN: 3D-aware Image Synthesis with a Spherical Background Minjung Shin, Yunji Seo, Jeongmin Bae, Young Sun Choi, Hyunsu Kim, Hyeran Byun, Youngjung Uh Paper ID:1151 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | End-to-End Diffusion Latent Optimization Improves Classifier Guidance Bram Wallace, Akash Gokul, Stefano Ermon, Nikhil Naik Paper ID:12094 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Deep Geometrized Cartoon Line Inbetweening Li Siyao, Tianpei Gu, Weiye Xiao, Henghui Ding, Ziwei Liu, Chen Change Loy Paper ID:1578 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | UnitedHuman: Harnessing Multi-Source Data for High-Resolution Human Generation Jianglin Fu, Shikai Li, Yuming Jiang, Kwan-Yee Lin, Wayne Wu, Ziwei Liu Paper ID:1580 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Towards Authentic Face Restoration with Iterative Diffusion Models and Beyond Yang Zhao, Tingbo Hou, Yu-Chuan Su, Xuhui Jia, Yandong Li, Matthias Grundmann Paper ID:10168 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | SVDiff: Compact Parameter Space for Diffusion Fine-Tuning Ligong Han, Yinxiao Li, Han Zhang, Peyman Milanfar, Dimitris Metaxas, Feng Yang Paper ID:10175 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | MI-GAN: A Simple Baseline for Image Inpainting on Mobile Devices Andranik Sargsyan, Shant Navasardyan, Xingqian Xu, Humphrey Shi Paper ID:10178 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Structure and Content-Guided Video Synthesis with Diffusion Models Patrick Esser, Johnathan Chiu, Parmida Atighehchian, Jonathan Granskog, Anastasis Germanidis Paper ID:10240 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Scenimefy: Learning to Craft Anime Scene via Semi-Supervised Image-to-Image Translation Yuxin Jiang, Liming Jiang, Shuai Yang, Chen Change Loy Paper ID:1623 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Efficient-VQGAN: Towards High-Resolution Image Generation with Efficient Vision Transformers Shiyue Cao, Yueqin Yin, Lianghua Huang, Yu Liu, Xin Zhao, Deli Zhao, Kaigi Huang Paper ID:10767 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | A Latent Space of Stochastic Diffusion Models for Zero-Shot Image Editing and Guidance Chen Henry Wu, Fernando De la Torre Paper ID:11013 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Generative Multiplane Neural Radiance for 3D-Aware Image Generation Amandeep Kumar, Ankan Kumar Bhunia, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Salman Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan Paper ID:11039 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Parallax-Tolerant Unsupervised Deep Image Stitching Lang Nie, Chunyu Lin, Kang Liao, Shuaicheng Liu, Yao Zhao Paper ID:1593 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | GAIT: Generating Aesthetic Indoor Tours with Deep Reinforcement Learning Desai Xie, Ping Hu, Xin Sun, Soren Pirk, Jianming Zhang, Radomir Mech, Arie E. Kaufman Paper ID:1744 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | EverLight: Indoor-Outdoor Editable HDR Lighting Estimation Mohammad Reza Karimi Dastjerdi, Jonathan Eisenmann, Yannick Hold-Geoffroy, Jean-François Lalonde Paper ID:7070 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Prompt Tuning Inversion for Text-driven Image Editing Using Diffusion Models Wenkai Dong, Song Xue, Xiaoyue Duan, Shumin Han Paper ID:4096 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Efficient Diffusion Training via Min-SNR Weighting Strategy Tiankai Hang, Shuyang Gu, Chen Li, Jianmin Bao, Dong Chen, Han Hu, Xin Geng, Baining Guo Paper ID:5819 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion Jinheng Xie, Yuexiang Li, Yawen Huang, Haozhe Liu, Wentian Zhang, Yefeng Zheng, Mike Zheng Shou Paper ID:3593 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Improving Sample Quality of Diffusion Models Using Self-Attention Guidance Susung Hong, Gyuseong Lee, Wooseok Jang, Seungryong Kim Paper ID:5366 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Not All Steps are Created Equal: Selective Diffusion Distillation for Image Manipulation Luozhou Wang, Shuai Yang, Shu Liu, Ying-cong Chen Paper ID:5762 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Deep Image Harmonization with Learnable Augmentation Li Niu, Junyan Cao, Wenyan Cong, Liqing Zhang Paper ID:5767 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Out-of-Domain GAN Inversion via Invertibility Decomposition for Photo-Realistic Human Face Manipulation Xin Yang, Xiaogang XU, Yingcong Chen Paper ID:5864 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Bidirectionally Deformable Motion Modulation For Video-based Human Pose Transfer Wing-Yin Yu, Lai-Man Po, Ray C.C. Cheung, Yuzhi Zhao, Yu Xue, Kun Li Paper ID:6093 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Size Does Matter: Size-aware Virtual Try-on via Clothing-oriented Transformation Try-on Network Chieh-Yun Chen, Yi-Chung Chen, Hong-Han Shuai, Wen-Huang Cheng Paper ID:6113 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs Moayed Haji Ali, Andrew Bond, Tolga Birdal, Duygu Ceylan, Levent Karacan, Erkut Erdem, Aykut Erdem Paper ID:5149 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Learning Global-aware Kernel for Image Harmonization Xintian Shen, Jiangning Zhang, Jun Chen, Shipeng Bai, Yue Han, Yabiao Wang, Chengjie Wang, Yong Liu Paper ID:5120 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Expressive Text-to-Image Generation with Rich Text Songwei Ge, Taesung Park, Jun-Yan Zhu, Jia-Bin Huang Paper ID:4027 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | A Large-Scale Outdoor Multi-Modal Dataset and Benchmark for Novel View Synthesis and Implicit Scene Reconstruction Chongshan Lu, Fukun Yin, Xin Chen, Wen Liu, Tao Chen, Gang Yu, Jiayuan Fan Paper ID:4336 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis Jiahe Li, Jiawei Zhang, Xiao Bai, Jun Zhou, Lin Gu Paper ID:4341 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Perceptual Artifacts Localization for Image Synthesis Tasks Lingzhi Zhang, Zhengjie Xu, Connelly Barnes, Yuqian Zhou, Qing Liu, He Zhang, Sohrab Amirghodsi, Zhe Lin, Eli Shechtman, Jianbo Shi Paper ID:4449 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis Minho Park, Jooyeol Yun, Seunghwan Choi, Jaegul Choo Paper ID:4462 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | StylerDALLE: Language-Guided Style Transfer Using a Vector-Quantized Tokenizer of a Large-Scale Generative Model Zipeng Xu, Enver Sangineto, Nicu Sebe Paper ID:4480 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Shortcut-V2V: Compression Framework for Video-to-Video Translation Based on Temporal Redundancy Reduction Chaeyeon Chung, Yeojeong Park, Seunghwan Choi, Munkhsoyol Ganbat, Jaegul Choo Paper ID:3765 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation Jay Zhangjie Wu, Yixiao Ge, Xintao Wang, Stan Weixian Lei, Yuchao Gu, Yufei Shi, Wynne Hsu, Ying Shan, Xiaohu Qie, Mike Zheng Shou Paper ID:3717 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | BlendFace: Re-designing Identity Encoders for Face-Swapping Kaede Shiohara, Xingchao Yang, Takafumi Taketomi Paper ID:4829 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Talking Head Generation with Probabilistic Audio-to-Visual Diffusion Priors Zhentao Yu, Zixin Yin, Deyu Zhou, Duomin Wang, Finn Wong, Baoyuan Wang Paper ID:4937 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | LinkGAN: Linking GAN Latents to Pixels for Controllable Image Synthesis Jiapeng Zhu, Ceyuan Yang, Yujun Shen, Zifan Shi, Bo Dai, Deli Zhao, Qifeng Chen Paper ID:5093 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Open-vocabulary Object Segmentation with Diffusion Models Ziyi Li, Qinye Zhou, Xiaoyun Zhang, Ya Zhang, Yanfeng Wang, Weidi Xie Paper ID:6126 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models Zhizhong Wang, Lei Zhao, Wei Xing Paper ID:6226 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | ToonTalker: Cross-Domain Face Reenactment Yuan Gong, Yong Zhang, Xiaodong Cun, Fei Yin, Yanbo Fan, Xuan Wang, Baoyuan Wu, Yujiu Yang Paper ID:8738 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Dense Text-to-Image Generation with Attention Modulation Yunji Kim, Jiyoung Lee, Jin-Hwa Kim, Jung-Woo Ha, Jun-Yan Zhu Paper ID:6848 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Householder Projector for Unsupervised Latent Semantics Discovery Yue Song, Jichao Zhang, Nicu Sebe, Wei Wang Paper ID:6910 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Deep Image Harmonization with Globally Guided Feature Transformation and Relation Distillation Li Niu, Linfeng Tan, Xinhao Tao, Junyan Cao, Fengjun Guo, Teng Long, Liqing Zhang Paper ID:6714 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | One-Shot Generative Domain Adaptation Ceyuan Yang, Yujun Shen, Zhiyi Zhang, Yinghao Xu, Jiapeng Zhu, Zhirong Wu, Bolei Zhou Paper ID:6954 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Hashing Neural Video Decomposition with Multiplicative Residuals in Space-Time Cheng-Hung Chan, Cheng-Yang Yuan, Cheng Sun, Hwann-Tzong Chen Paper ID:6284 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Versatile Diffusion: Text, Images and Variations All in One Diffusion Model Xingqian Xu, Zhangyang Wang, Gong Zhang, Kai Wang, Humphrey Shi Paper ID:6685 |
| Wednesday 4th 02:30 PM-04:30 PM | Image and video synthesis 1 | Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis Qiucheng Wu, Yujian Liu, Handong Zhao, Trung Bui, Zhe Lin, Yang Zhang, Shiyu Chang Paper ID:3675 |
| Wednesday 4th 02:30 PM-04:30 PM | Vision and audio | Sound Source Localization is All about Cross-Modal Alignment Arda Senocak, Hyeonggon Ryu, Junsik Kim, Tae-Hyun Oh, Hanspeter Pfister, Joon Son Chung Paper ID:9621 |
| Wednesday 4th 02:30 PM-04:30 PM | Vision and audio | Class-Incremental Grouping Network for Continual Audio-Visual Learning Shentong Mo, Weiguo Pian, Yapeng Tian Paper ID:1787 |
| Wednesday 4th 02:30 PM-04:30 PM | Vision and audio | Audio-Visual Class-Incremental Learning Weiguo Pian, Shentong Mo, Yunhui Guo, Yapeng Tian Paper ID:3952 |
| Wednesday 4th 02:30 PM-04:30 PM | Vision and audio | DiffV2S: Diffusion-Based Video-to-Speech Synthesis with Vision-Guided Speaker Embedding Jeongsoo Choi, Joanna Hong, Yong Man Ro Paper ID:3473 |
| Wednesday 4th 02:30 PM-04:30 PM | Vision and audio | The Power of Sound (TPoS): Audio Reactive Video Generation with Stable Diffusion Yujin Jeong, Wonjeong Ryoo, Seunghyun Lee, Dabin Seo, Wonmin Byeon, Sangpil Kim, Jinkyu Kim Paper ID:7327 |
| Wednesday 4th 02:30 PM-04:30 PM | Vision and audio | SIDGAN: High-Resolution Dubbed Video Generation via Shift-Invariant Learning Urwa Muaz, Wondong Jang, Rohun Tripathi, Santhosh Mani, Wenbin Ouyang, Ravi Teja Gadde, Baris Gecer, Sergio Elizondo, Reza Madad, Naveen Nair Paper ID:3286 |
| Wednesday 4th 02:30 PM-04:30 PM | Vision and audio | On the Audio-visual Synchronization for Lip-to-Speech Synthesis Zhe Niu, Brian Mak Paper ID:10672 |
| Wednesday 4th 02:30 PM-04:30 PM | Vision and audio | Be Everywhere - Hear Everything (BEE): Audio Scene Reconstruction by Sparse Audio-Visual Samples Mingfei Chen, Kun Su, Eli Shlizerman Paper ID:4484 |
| Wednesday 4th 02:30 PM-04:30 PM | Vision and audio | Dense 2D-3D Indoor Prediction with Sound via Aligned Cross-Modal Distillation Heeseung Yun, Joonil Na, Gunhee Kim Paper ID:10470 |
| Wednesday 4th 02:30 PM-04:30 PM | Vision and audio | Hyperbolic Audio-visual Zero-shot Learning Jie Hong, Zeeshan Hayder, Junlin Han, Pengfei Fang, Mehrtash Harandi, Lars Petersson Paper ID:3560 |
| Wednesday 4th 02:30 PM-04:30 PM | Vision and audio | AdVerb: Visually Guided Audio Dereverberation Sanjoy Chowdhury, Sreyan Ghosh, Subhrajyoti Dasgupta, Anton Ratnarajah, Utkarsh Tyagi, Dinesh Manocha Paper ID:11174 |
| Wednesday 4th 02:30 PM-04:30 PM | Vision and audio | Sound Localization from Motion: Jointly Learning Sound Direction and Camera Rotation Ziyang Chen, Shengyi Qian, Andrew Owens Paper ID:1105 |
| Wednesday 4th 02:30 PM-04:30 PM | Vision, Graphics, and Robotics | Adding Conditional Control to Text-to-Image Diffusion Models Lvmin Zhang, Anyi Rao, Maneesh Agrawala Paper ID:4487 |
| Wednesday 4th 02:30 PM-04:30 PM | Vision, Graphics, and Robotics | Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation Liwen Wu, Rui Zhu, Mustafa B. Yaldiz, Yinhao Zhu, Hong Cai, Janarbek Matai, Fatih Porikli, Tzu-Mao Li, Manmohan Chandraker, Ravi Ramamoorthi Paper ID:5648 |
| Wednesday 4th 02:30 PM-04:30 PM | Vision, Graphics, and Robotics | Manipulate by Seeing: Creating Manipulation Controllers from Pre-Trained Representations Jianren Wang, Sudeep Dasari, Mohan Kumar Srirama, Shubham Tulsiani, Abhinav Gupta Paper ID:11166 |
| Wednesday 4th 02:30 PM-04:30 PM | Vision, Graphics, and Robotics | 3D Implicit Transporter for Temporally Consistent Keypoint Discovery Chengliang Zhong, Yuhang Zheng, Yupeng Zheng, Hao Zhao, Li Yi, Xiaodong Mu, Ling Wang, Pengfei Li, Guyue Zhou, Chao Yang, Xinliang Zhang, Jian Zhao Paper ID:6967 |
| Wednesday 4th 02:30 PM-04:30 PM | Vision, Graphics, and Robotics | Chordal Averaging on Flag Manifolds and Its Applications Nathan Mankovich, Tolga Birdal Paper ID:3293 |
| Wednesday 4th 02:30 PM-04:30 PM | Vision, Graphics, and Robotics | UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-Aware Curriculum and Iterative Generalist-Specialist Learning Weikang Wan, Haoran Geng, Yun Liu, Zikang Shan, Yaodong Yang, Li Yi, He Wang Paper ID:4200 |
| Wednesday 4th 02:30 PM-04:30 PM | Vision, Graphics, and Robotics | GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving Zhiyu Huang, Haochen Liu, Chen Lv Paper ID:9889 |
| Wednesday 4th 02:30 PM-04:30 PM | Vision, Graphics, and Robotics | PPR: Physically Plausible Reconstruction from Monocular Videos Gengshan Yang, Shuo Yang, John Z. Zhang, Zachary Manchester, Deva Ramanan Paper ID:5133 |
| Wednesday 4th 02:30 PM-04:30 PM | Privacy, Security, Fairness, Explainability and Datasets | Zolly: Zoom Focal Length Correctly for Perspective-Distorted Human Mesh Reconstruction Wenjia Wang, Yongtao Ge, Haiyi Mei, Zhongang Cai, Qingping Sun, Yanjun Wang, Chunhua Shen, Lei Yang, Taku Komura Paper ID:2663 |
| Wednesday 4th 02:30 PM-04:30 PM | Privacy, Security, Fairness, Explainability and Datasets | ACLS: Adaptive and Conditional Label Smoothing for Network Calibration Hyekang Park, Jongyoun Noh, Youngmin Oh, Donghyeon Baek, Bumsub Ham Paper ID:10410 |
| Wednesday 4th 02:30 PM-04:30 PM | Privacy, Security, Fairness, Explainability and Datasets | PGFed: Personalize Each Client's Global Objective for Federated Learning Jun Luo, Matias Mendieta, Chen Chen, Shandong Wu Paper ID:7061 |
| Wednesday 4th 02:30 PM-04:30 PM | Privacy, Security, Fairness, Explainability and Datasets | Overwriting Pretrained Bias with Finetuning Data Angelina Wang, Olga Russakovsky Paper ID:3956 |
| Wednesday 4th 02:30 PM-04:30 PM | Privacy, Security, Fairness, Explainability and Datasets | ITI-GEN: Inclusive Text-to-Image Generation Cheng Zhang, Xuanbai Chen, Siqi Chai, Chen Henry Wu, Dmitry Lagun, Thabo Beeler, Fernando De la Torre Paper ID:10327 |
| Wednesday 4th 02:30 PM-04:30 PM | Privacy, Security, Fairness, Explainability and Datasets | FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods Robin Hesse, Simone Schaub-Meyer, Stefan Roth Paper ID:6214 |
| Wednesday 4th 02:30 PM-04:30 PM | Privacy, Security, Fairness, Explainability and Datasets | X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events Bo Dai, Linge Wang, Baoxiong Jia, Zeyu Zhang, Song-Chun Zhu, Chi Zhang, Yixin Zhu Paper ID:6288 |
| Wednesday 4th 02:30 PM-04:30 PM | Privacy, Security, Fairness, Explainability and Datasets | Adaptive Testing of Computer Vision Models Irena Gao, Gabriel Ilharco, Scott Lundberg, Marco Tulio Ribeiro Paper ID:10972 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition, segmentation, and shape analysis | Segment Anything Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollar, Ross Girshick Paper ID:19 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition, segmentation, and shape analysis | Shape Analysis of Euclidean Curves under Frenet-Serret Framework Perrine Chassat, Juhyun Park, Nicolas Brunel Paper ID:11087 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition, segmentation, and shape analysis | Unmasking Anomalies in Road-Scene Segmentation Shyam Nandan Rai, Fabio Cermelli, Dario Fontanel, Carlo Masone, Barbara Caputo Paper ID:8953 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition, segmentation, and shape analysis | High Quality Entity Segmentation Lu Qi, Jason Kuen, Tiancheng Shen, Jiuxiang Gu, Wenbo Li, Weidong Guo, Jiaya Jia, Zhe Lin, Ming-Hsuan Yang Paper ID:4808 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition, segmentation, and shape analysis | Towards Open-Vocabulary Video Instance Segmentation Haochen Wang, Cilin Yan, Shuai Wang, Xiaolong Jiang, Xu Tang, Yao Hu, Weidi Xie, Efstratios Gavves Paper ID:6347 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition, segmentation, and shape analysis | Beyond One-to-One: Rethinking the Referring Image Segmentation Yutao Hu, Qixiong Wang, Wenqi Shao, Enze Xie, Zhenguo Li, Jungong Han, Ping Luo Paper ID:3892 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition, segmentation, and shape analysis | Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification Wenhao Tang, Sheng Huang, Xiaoxian Zhang, Fengtao Zhou, Yi Zhang, Bo Liu Paper ID:6302 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition, segmentation, and shape analysis | Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning Colorado J Reed, Ritwik Gupta, Shufan Li, Sarah Brockman, Christopher Funk, Brian Clipp, Kurt Keutzer, Salvatore Candido, Matt Uyttendaele, Trevor Darrell Paper ID:6763 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition, segmentation, and shape analysis | Progressive Spatio-Temporal Prototype Matching for Text-Video Retrieval Pandeng Li, Chen-Wei Xie, Liming Zhao, Hongtao Xie, Jiannan Ge, Yun Zheng, Deli Zhao, Yongdong Zhang Paper ID:3879 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition, segmentation, and shape analysis | Towards Deeply Unified Depth-aware Panoptic Segmentation with Bi-directional Guidance Learning Junwen He, Yifan Wang, Lijun Wang, Huchuan Lu, Bin Luo, Jun-Yan He, Jin-Peng Lan, Yifeng Geng, Xuansong Xie Paper ID:4976 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition, segmentation, and shape analysis | LogicSeg: Parsing Visual Semantics with Neural Logic Learning and Reasoning Liulei Li, Wenguan Wang, Yi Yang Paper ID:5876 |
| Wednesday 4th 02:30 PM-04:30 PM | Recognition, segmentation, and shape analysis | ASIC: Aligning Sparse in-the-wild Image Collections Kamal Gupta, Varun Jampani, Carlos Esteves, Abhinav Shrivastava, Ameesh Makadia, Noah Snavely, Abhishek Kar Paper ID:4552 |
| Wednesday 4th 02:30 PM-04:30 PM | Generative AI 1 | CLIPascene: Scene Sketching with Different Types and Levels of Abstraction Yael Vinker, Yuval Alaluf, Daniel Cohen-Or, Ariel Shamir Paper ID:9884 |
| Wednesday 4th 02:30 PM-04:30 PM | Generative AI 1 | LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation Koutilya PNVR, Bharat Singh, Pallabi Ghosh, Behjat Siddiquie, David Jacobs Paper ID:12703 |
| Wednesday 4th 02:30 PM-04:30 PM | Generative AI 1 | TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models Tianshi Cao, Karsten Kreis, Sanja Fidler, Nicholas Sharp, Kangxue Yin Paper ID:11171 |
| Wednesday 4th 02:30 PM-04:30 PM | Generative AI 1 | NeuRBF: A Neural Fields Representation with Adaptive Radial Basis Functions Zhang Chen, Zhong Li, Liangchen Song, Lele Chen, Jingyi Yu, Junsong Yuan, Yi Xu Paper ID:5223 |
| Wednesday 4th 02:30 PM-04:30 PM | Generative AI 1 | Scalable Diffusion Models with Transformers William Peebles, Saining Xie Paper ID:6705 |
| Wednesday 4th 02:30 PM-04:30 PM | Generative AI 1 | Texture Generation on 3D Meshes with Point-UV Diffusion Xin Yu, Peng Dai, Wenbo Li, Lan Ma, Zhengzhe Liu, Xiaojuan Qi Paper ID:4211 |
| Wednesday 4th 02:30 PM-04:30 PM | Generative AI 1 | Generative Novel View Synthesis with 3D-Aware Diffusion Models Eric R. Chan, Koki Nagano, Matthew A. Chan, Alexander W. Bergman, Jeong Joon Park, Axel Levy, Miika Aittala, Shalini De Mello, Tero Karras, Gordon Wetzstein Paper ID:10260 |
| Wednesday 4th 02:30 PM-04:30 PM | Generative AI 1 | DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-efficient Fine-Tuning Enze Xie, Lewei Yao, Han Shi, Zhili Liu, Daquan Zhou, Zhaoqiang Liu, Jiawei Li, Zhenguo Li Paper ID:5559 |
| Wednesday 4th 02:30 PM-04:30 PM | Generative AI 1 | VQ3D: Learning a 3D-Aware Generative Model on ImageNet Kyle Sargent, Jing Yu Koh, Han Zhang, Huiwen Chang, Charles Herrmann, Pratul Srinivasan, Jiajun Wu, Deqing Sun Paper ID:11111 |
| Wednesday 4th 02:30 PM-04:30 PM | Generative AI 1 | Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with Reflection Wenhang Ge, Tao Hu, Haoyu Zhao, Shu Liu, Ying-Cong Chen Paper ID:9385 |
| Wednesday 4th 02:30 PM-04:30 PM | Generative AI 1 | A Complete Recipe for Diffusion Generative Models Kushagra Pandey, Stephan Mandt Paper ID:11115 |
| Wednesday 4th 02:30 PM-04:30 PM | Generative AI 1 | MMVP: Motion-Matrix-Based Video Prediction Yiqi Zhong, Luming Liang, Ilya Zharkov, Ulrich Neumann Paper ID:4215 |
Wednesday 4th 04:30 PM-06:00 PM - Orals
| Date & Time | Session | Paper Title Author·s Name·s |
| Wednesday 4th 04:30 PM-06:00 PM | Recognition, segmentation, and shape analysis | Segment Anything Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollar, Ross Girshick Paper ID:19 |
| Wednesday 4th 04:30 PM-06:00 PM | Recognition, segmentation, and shape analysis | Shape Analysis of Euclidean Curves under Frenet-Serret Framework Perrine Chassat, Juhyun Park, Nicolas Brunel Paper ID:11087 |
| Wednesday 4th 04:30 PM-06:00 PM | Recognition, segmentation, and shape analysis | Unmasking Anomalies in Road-Scene Segmentation Shyam Nandan Rai, Fabio Cermelli, Dario Fontanel, Carlo Masone, Barbara Caputo Paper ID:8953 |
| Wednesday 4th 04:30 PM-06:00 PM | Recognition, segmentation, and shape analysis | High Quality Entity Segmentation Lu Qi, Jason Kuen, Tiancheng Shen, Jiuxiang Gu, Wenbo Li, Weidong Guo, Jiaya Jia, Zhe Lin, Ming-Hsuan Yang Paper ID:4808 |
| Wednesday 4th 04:30 PM-06:00 PM | Recognition, segmentation, and shape analysis | Towards Open-Vocabulary Video Instance Segmentation Haochen Wang, Cilin Yan, Shuai Wang, Xiaolong Jiang, Xu Tang, Yao Hu, Weidi Xie, Efstratios Gavves Paper ID:6347 |
| Wednesday 4th 04:30 PM-06:00 PM | Recognition, segmentation, and shape analysis | Beyond One-to-One: Rethinking the Referring Image Segmentation Yutao Hu, Qixiong Wang, Wenqi Shao, Enze Xie, Zhenguo Li, Jungong Han, Ping Luo Paper ID:3892 |
| Wednesday 4th 04:30 PM-06:00 PM | Recognition, segmentation, and shape analysis | Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification Wenhao Tang, Sheng Huang, Xiaoxian Zhang, Fengtao Zhou, Yi Zhang, Bo Liu Paper ID:6302 |
| Wednesday 4th 04:30 PM-06:00 PM | Recognition, segmentation, and shape analysis | Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning Colorado J Reed, Ritwik Gupta, Shufan Li, Sarah Brockman, Christopher Funk, Brian Clipp, Kurt Keutzer, Salvatore Candido, Matt Uyttendaele, Trevor Darrell Paper ID:6763 |
| Wednesday 4th 04:30 PM-06:00 PM | Recognition, segmentation, and shape analysis | Progressive Spatio-Temporal Prototype Matching for Text-Video Retrieval Pandeng Li, Chen-Wei Xie, Liming Zhao, Hongtao Xie, Jiannan Ge, Yun Zheng, Deli Zhao, Yongdong Zhang Paper ID:3879 |
| Wednesday 4th 04:30 PM-06:00 PM | Recognition, segmentation, and shape analysis | Towards Deeply Unified Depth-aware Panoptic Segmentation with Bi-directional Guidance Learning Junwen He, Yifan Wang, Lijun Wang, Huchuan Lu, Bin Luo, Jun-Yan He, Jin-Peng Lan, Yifeng Geng, Xuansong Xie Paper ID:4976 |
| Wednesday 4th 04:30 PM-06:00 PM | Recognition, segmentation, and shape analysis | LogicSeg: Parsing Visual Semantics with Neural Logic Learning and Reasoning Liulei Li, Wenguan Wang, Yi Yang Paper ID:5876 |
| Wednesday 4th 04:30 PM-06:00 PM | Recognition, segmentation, and shape analysis | ASIC: Aligning Sparse in-the-wild Image Collections Kamal Gupta, Varun Jampani, Carlos Esteves, Abhinav Shrivastava, Ameesh Makadia, Noah Snavely, Abhishek Kar Paper ID:4552 |
| Wednesday 4th 04:30 PM-06:00 PM | Generative AI 1 | CLIPascene: Scene Sketching with Different Types and Levels of Abstraction Yael Vinker, Yuval Alaluf, Daniel Cohen-Or, Ariel Shamir Paper ID:9884 |
| Wednesday 4th 04:30 PM-06:00 PM | Generative AI 1 | LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation Koutilya PNVR, Bharat Singh, Pallabi Ghosh, Behjat Siddiquie, David Jacobs Paper ID:12703 |
| Wednesday 4th 04:30 PM-06:00 PM | Generative AI 1 | TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models Tianshi Cao, Karsten Kreis, Sanja Fidler, Nicholas Sharp, Kangxue Yin Paper ID:11171 |
| Wednesday 4th 04:30 PM-06:00 PM | Generative AI 1 | NeuRBF: A Neural Fields Representation with Adaptive Radial Basis Functions Zhang Chen, Zhong Li, Liangchen Song, Lele Chen, Jingyi Yu, Junsong Yuan, Yi Xu Paper ID:5223 |
| Wednesday 4th 04:30 PM-06:00 PM | Generative AI 1 | Scalable Diffusion Models with Transformers William Peebles, Saining Xie Paper ID:6705 |
| Wednesday 4th 04:30 PM-06:00 PM | Generative AI 1 | Texture Generation on 3D Meshes with Point-UV Diffusion Xin Yu, Peng Dai, Wenbo Li, Lan Ma, Zhengzhe Liu, Xiaojuan Qi Paper ID:4211 |
| Wednesday 4th 04:30 PM-06:00 PM | Generative AI 1 | Generative Novel View Synthesis with 3D-Aware Diffusion Models Eric R. Chan, Koki Nagano, Matthew A. Chan, Alexander W. Bergman, Jeong Joon Park, Axel Levy, Miika Aittala, Shalini De Mello, Tero Karras, Gordon Wetzstein Paper ID:10260 |
| Wednesday 4th 04:30 PM-06:00 PM | Generative AI 1 | DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-efficient Fine-Tuning Enze Xie, Lewei Yao, Han Shi, Zhili Liu, Daquan Zhou, Zhaoqiang Liu, Jiawei Li, Zhenguo Li Paper ID:5559 |
| Wednesday 4th 04:30 PM-06:00 PM | Generative AI 1 | VQ3D: Learning a 3D-Aware Generative Model on ImageNet Kyle Sargent, Jing Yu Koh, Han Zhang, Huiwen Chang, Charles Herrmann, Pratul Srinivasan, Jiajun Wu, Deqing Sun Paper ID:11111 |
| Wednesday 4th 04:30 PM-06:00 PM | Generative AI 1 | Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with Reflection Wenhang Ge, Tao Hu, Haoyu Zhao, Shu Liu, Ying-Cong Chen Paper ID:9385 |
| Wednesday 4th 04:30 PM-06:00 PM | Generative AI 1 | A Complete Recipe for Diffusion Generative Models Kushagra Pandey, Stephan Mandt Paper ID:11115 |
| Wednesday 4th 04:30 PM-06:00 PM | Generative AI 1 | MMVP: Motion-Matrix-Based Video Prediction Yiqi Zhong, Luming Liang, Ilya Zharkov, Ulrich Neumann Paper ID:4215 |
Thursday 5th 09:00 AM-10:30 AM - Orals
| Date & Time | Session | Paper Title Author·s Name·s |
| Thursday 5th 09:00 AM-10:30 AM | Humans, 3D modeling, and driving | Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models Lukas Höllein, Ang Cao, Andrew Owens, Justin Johnson, Matthias Nießner Paper ID:2901 |
| Thursday 5th 09:00 AM-10:30 AM | Humans, 3D modeling, and driving | LivePose: Online 3D Reconstruction from Monocular Video with Dynamic Camera Poses Noah Stier, Baptiste Angles, Liang Yang, Yajie Yan, Alex Colburn, Ming Chuang Paper ID:12458 |
| Thursday 5th 09:00 AM-10:30 AM | Humans, 3D modeling, and driving | NDDepth: Normal-Distance Assisted Monocular Depth Estimation Shuwei Shao, Zhongcai Pei, Weihai Chen, Xingming Wu, Zhengguo Li Paper ID:1992 |
| Thursday 5th 09:00 AM-10:30 AM | Humans, 3D modeling, and driving | LATR: 3D Lane Detection from Monocular Images with Transformer Yueru Luo, Chaoda Zheng, Xu Yan, Tang Kun, Chao Zheng, Shuguang Cui, Zhen Li Paper ID:6680 |
| Thursday 5th 09:00 AM-10:30 AM | Humans, 3D modeling, and driving | DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving Xiaosong Jia, Yulu Gao, Li Chen, Junchi Yan, Patrick Langechuan Liu, Hongyang Li Paper ID:2403 |
| Thursday 5th 09:00 AM-10:30 AM | Humans, 3D modeling, and driving | Dynamic Point Fields Sergey Prokudin, Qianli Ma, Maxime Raafat, Julien Valentin, Siyu Tang Paper ID:9234 |
| Thursday 5th 09:00 AM-10:30 AM | Humans, 3D modeling, and driving | Generalizing Neural Human Fitting to Unseen Poses With Articulated SE(3) Equivariance Haiwen Feng, Peter Kulits, Shichen Liu, Michael J. Black, Victoria Fernandez Abrevaya Paper ID:6846 |
| Thursday 5th 09:00 AM-10:30 AM | Humans, 3D modeling, and driving | Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views Siwei Zhang, Qianli Ma, Yan Zhang, Sadegh Aliakbarian, Darren Cosker, Siyu Tang Paper ID:2208 |
| Thursday 5th 09:00 AM-10:30 AM | Humans, 3D modeling, and driving | DECO: Dense Estimation of 3D Human-Scene Contact In The Wild Shashank Tripathi, Agniv Chatterjee, Jean-Claude Passy, Hongwei Yi, Dimitrios Tzionas, Michael J. Black Paper ID:1035 |
| Thursday 5th 09:00 AM-10:30 AM | Humans, 3D modeling, and driving | Decoupled Iterative Refinement Framework for Interacting Hands Reconstruction from a Single RGB Image Pengfei Ren, Chao Wen, Xiaozheng Zheng, Zhou Xue, Haifeng Sun, Qi Qi, Jingyu Wang, Jianxin Liao Paper ID:1444 |
| Thursday 5th 09:00 AM-10:30 AM | Humans, 3D modeling, and driving | Chasing Clouds: Differentiable Volumetric Rasterisation of Point Clouds as a Highly Efficient and Accurate Loss for Large-Scale Deformable 3D Registration Mattias P. Heinrich, Alexander Bigalke, Christoph Großbröhmer, Lasse Hansen Paper ID:10213 |
| Thursday 5th 09:00 AM-10:30 AM | Humans, 3D modeling, and driving | Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and Forget Less Rizhao Cai, Yawen Cui, Zhi Li, Zitong Yu, Haoliang Li, Yongjian Hu, Alex Kot Paper ID:9753 |
| Thursday 5th 09:00 AM-10:30 AM | Low-level vision and theory | A 5-Point Minimal Solver for Event Camera Relative Motion Estimation Ling Gao, Hang Su, Daniel Gehrig, Marco Cannici, Davide Scaramuzza, Laurent Kneip Paper ID:12412 |
| Thursday 5th 09:00 AM-10:30 AM | Low-level vision and theory | General Planar Motion from a Pair of 3D Correspondences Juan Carlos Dibene, Zhixiang Min, Enrique Dunn Paper ID:10124 |
| Thursday 5th 09:00 AM-10:30 AM | Low-level vision and theory | Beyond the Pixel: a Photometrically Calibrated HDR Dataset for Luminance and Color Prediction Christophe Bolduc, Justine Giroux, Marc Hébert, Claude Demers, Jean-François Lalonde Paper ID:6978 |
| Thursday 5th 09:00 AM-10:30 AM | Low-level vision and theory | DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion Zixiang Zhao, Haowen Bai, Yuanzhi Zhu, Jiangshe Zhang, Shuang Xu, Yulun Zhang, Kai Zhang, Deyu Meng, Radu Timofte, Luc Van Gool Paper ID:1997 |
| Thursday 5th 09:00 AM-10:30 AM | Low-level vision and theory | Iterative Prompt Learning for Unsupervised Backlit Image Enhancement Zhexin Liang, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Chen Change Loy Paper ID:3791 |
| Thursday 5th 09:00 AM-10:30 AM | Low-level vision and theory | Similarity Min-Max: Zero-Shot Day-Night Domain Adaptation Rundong Luo, Wenjing Wang, Wenhan Yang, Jiaying Liu Paper ID:5714 |
| Thursday 5th 09:00 AM-10:30 AM | Low-level vision and theory | Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation Jinyuan Liu, Zhu Liu, Guanyao Wu, Long Ma, Risheng Liu, Wei Zhong, Zhongxuan Luo, Xin Fan Paper ID:5799 |
| Thursday 5th 09:00 AM-10:30 AM | Low-level vision and theory | Computational 3D Imaging with Position Sensors Jeremy Klotz, Mohit Gupta, Aswin C. Sankaranarayanan Paper ID:5459 |
| Thursday 5th 09:00 AM-10:30 AM | Low-level vision and theory | Passive Ultra-Wideband Single-Photon Imaging Mian Wei, Sotiris Nousias, Rahul Gulve, David B. Lindell, Kiriakos N. Kutulakos Paper ID:6608 |
| Thursday 5th 09:00 AM-10:30 AM | Low-level vision and theory | Viewing Graph Solvability in Practice Federica Arrigoni, Tomas Pajdla, Andrea Fusiello Paper ID:1583 |
| Thursday 5th 09:00 AM-10:30 AM | Low-level vision and theory | Minimal Solutions to Generalized Three-View Relative Pose Problem Yaqing Ding, Chiang-Heng Chien, Viktor Larsson, Karl Åström, Benjamin Kimia Paper ID:4934 |
| Thursday 5th 09:00 AM-10:30 AM | Low-level vision and theory | SoDaCam: Software-defined Cameras via Single-Photon Imaging Varun Sundar, Andrei Ardelean, Tristan Swedish, Claudio Brusschini, Edoardo Charbon, Mohit Gupta Paper ID:7164 |
Thursday 5th 10:30 AM-12:30 PM - Posters
| Date & Time | Session | Paper Title Author·s Name·s |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | Robust Monocular Depth Estimation under Challenging Conditions Stefano Gasperini, Nils Morbitzer, HyunJun Jung, Nassir Navab, Federico Tombari Paper ID:9919 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | UMC: A Unified Bandwidth-efficient and Multi-resolution based Collaborative Perception Framework Tianhang Wang, Guang Chen, Kai Chen, Zhengfa Liu, Bo Zhang, Alois Knoll, Changjun Jiang Paper ID:10393 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | View Consistent Purification for Accurate Cross-View Localization Shan Wang, Yanhao Zhang, Akhil Perincherry, Ankit Vora, Hongdong Li Paper ID:10604 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | Semi-supervised Semantics-guided Adversarial Training for Robust Trajectory Prediction Ruochen Jiao, Xiangguo Liu, Takami Sato, Qi Alfred Chen, Qi Zhu Paper ID:11217 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | NeRF-LOAM: Neural Implicit Representation for Large-Scale Incremental LiDAR Odometry and Mapping Junyuan Deng, Qi Wu, Xieyuanli Chen, Songpengcheng Xia, Zhen Sun, Guoqing Liu, Wenxian Yu, Ling Pei Paper ID:10704 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | MapPrior: Bird's-Eye View Map Layout Estimation with Generative Models Xiyue Zhu, Vlas Zyrianov, Zhijian Liu, Shenlong Wang Paper ID:10171 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | Hidden Biases of End-to-End Driving Models Bernhard Jaeger, Kashyap Chitta, Andreas Geiger Paper ID:1323 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | Search for or Navigate to? Dual Adaptive Thinking for Object Navigation Ronghao Dang, Liuyi Wang, Zongtao He, Shuai Su, Jiagui Tang, Chengju Liu, Qijun Chen Paper ID:10348 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | BiFF: Bi-level Future Fusion with Polyline-based Coordinate for Interactive Trajectory Prediction Yiyao Zhu, Di Luan, Shaojie Shen Paper ID:11650 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | Towards Zero Domain Gap: A Comprehensive Study of Realistic LiDAR Simulation for Autonomy Testing Sivabalan Manivasagam, Ioan Andrei Bârsan, Jingkang Wang, Ze Yang, Raquel Urtasun Paper ID:10898 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | Clustering based Point Cloud Representation Learning for 3D Analysis Tuo Feng, Wenguan Wang, Xiaohan Wang, Yi Yang, Qinghua Zheng Paper ID:10067 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | ADAPT: Efficient Multi-Agent Trajectory Prediction with Adaptation Görkay Aydemir, Adil Kaan Akan, Fatma Güney Paper ID:1528 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | MV-DeepSDF: Implicit Modeling with Multi-Sweep Point Clouds for 3D Vehicle Reconstruction in Autonomous Driving Yibo Liu, Kelly Zhu, Guile Wu, Yuan Ren, Bingbing Liu, Yang Liu, Jinjun Shan Paper ID:10200 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | Learning Vision-and-Language Navigation from YouTube Videos Kunyang Lin, Peihao Chen, Diwei Huang, Thomas H. Li, Mingkui Tan, Chuang Gan Paper ID:1261 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models Liang Zhang, Nathaniel Xu, Pengfei Yang, Gaojie Jin, Cheng-Chao Huang, Lijun Zhang Paper ID:10836 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | VAD: Vectorized Scene Representation for Efficient Autonomous Driving Bo Jiang, Shaoyu Chen, Qing Xu, Bencheng Liao, Jiajie Chen, Helong Zhou, Qian Zhang, Wenyu Liu, Chang Huang, Xinggang Wang Paper ID:1218 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | Traj-MAE: Masked Autoencoders for Trajectory Prediction Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng Paper ID:5154 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | Sparse Point Guided 3D Lane Detection Chengtang Yao, Lidong Yu, Yuwei Wu, Yunde Jia Paper ID:6737 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | A Simple Vision Transformer for Weakly Semi-supervised 3D Object Detection Dingyuan Zhang, Dingkang Liang, Zhikang Zou, Jingyu Li, Xiaoqing Ye, Zhe Liu, Xiao Tan, Xiang Bai Paper ID:4992 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | Learn TAROT with MENTOR: A Meta-Learned Self-Supervised Approach for Trajectory Prediction Mozhgan Pourkeshavarz, Changhe Chen, Amir Rasouli Paper ID:6401 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | FocalFormer3D: Focusing on Hard Instance for 3D Object Detection Yilun Chen, Zhiding Yu, Yukang Chen, Shiyi Lan, Anima Anandkumar, Jiaya Jia, Jose M. Alvarez Paper ID:3919 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | Scene as Occupancy Wenwen Tong, Chonghao Sima, Tai Wang, Li Chen, Silei Wu, Hanming Deng, Yi Gu, Lewei Lu, Ping Luo, Dahua Lin, Hongyang Li Paper ID:1754 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | Real-Time Neural Rasterization for Large Scenes Jeffrey Yunfan Liu, Yun Chen, Ze Yang, Jingkang Wang, Sivabalan Manivasagam, Raquel Urtasun Paper ID:4018 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | A Game of Bundle Adjustment - Learning Efficient Convergence Amir Belder, Refael Vivanti, Ayellet Tal Paper ID:4962 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | Efficient Transformer-based 3D Object Detection with Dynamic Token Halting Mao Ye, Gregory P. Meyer, Yuning Chai, Qiang Liu Paper ID:6194 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | RegFormer: An Efficient Projection-Aware Transformer Network for Large-Scale Point Cloud Registration Jiuming Liu, Guangming Wang, Zhe Liu, Chaokang Jiang, Marc Pollefeys, Hesheng Wang Paper ID:6133 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | CASSPR: Cross Attention Single Scan Place Recognition Yan Xia, Mariia Gladkova, Rui Wang, Qianyun Li, Uwe Stilla, João F Henriques, Daniel Cremers Paper ID:4208 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | Recursive Video Lane Detection Dongkwon Jin, Dahyun Kim, Chang-Su Kim Paper ID:5991 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | Parametric Depth Based Feature Representation Learning for Object Detection and Segmentation in Bird’s-Eye View Jiayu Yang, Enze Xie, Miaomiao Liu, Jose M. Alvarez Paper ID:5808 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors Hongge Chen, Zhao Chen, Gregory P. Meyer, Dennis Park, Carl Vondrick, Ashish Shrivastava, Yuning Chai Paper ID:5287 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | Bootstrap Motion Forecasting With Self-Consistent Constraints Maosheng Ye, Jiamiao Xu, Xunnong Xu, Tengfei Wang, Tongyi Cao, Qifeng Chen Paper ID:5613 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | Towards Viewpoint Robustness in Bird’s Eye View Segmentation Tzofi Klinghoffer, Jonah Philion, Wenzheng Chen, Or Litany, Zan Gojcic, Jungseock Joo, Ramesh Raskar, Sanja Fidler, Jose M. Alvarez Paper ID:5300 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | R-Pred: Two-Stage Motion Prediction Via Tube-Query Attention-Based Trajectory Refinement Sehwan Choi, Jungho Kim, Junyong Yun, Jun Won Choi Paper ID:5536 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | INT2: Interactive Trajectory Prediction at Intersections Zhijie Yan, Pengfei Li, Zheng Fu, Shaocong Xu, Yongliang Shi, Xiaoxue Chen, Yuhang Zheng, Yang Li, Tianyu Liu, Chuxuan Li, Nairui Luo, Xu Gao, Yilun Chen, Zuoxu Wang, Yifeng Shi, Pengfei Huang, Zhengxiao Han, Jirui Yuan, Jiangtao Gong, Guyue Zhou, Hang Zhao, Hao Zhao Paper ID:6110 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | MatrixVT: Efficient Multi-Camera to BEV Transformation for 3D Perception Hongyu Zhou, Zheng Ge, Zeming Li, Xiangyu Zhang Paper ID:5521 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | Unsupervised Self-Driving Attention Prediction via Uncertainty Mining and Knowledge Embedding Pengfei Zhu, Mengshi Qi, Xia Li, Weijian Li, Huadong Ma Paper ID:5396 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | SVQNet: Sparse Voxel-Adjacent Query Network for 4D Spatio-Temporal LiDAR Semantic Segmentation Xuechao Chen, Shuangjie Xu, Xiaoyi Zou, Tongyi Cao, Dit-Yan Yeung, Lu Fang Paper ID:7259 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | MotionLM: Multi-Agent Motion Forecasting as Language Modeling Ari Seff, Brian Cera, Dian Chen, Mason Ng, Aurick Zhou, Nigamaa Nayakanti, Khaled S. Refaat, Rami Al-Rfou, Benjamin Sapp Paper ID:12473 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | Improving Online Lane Graph Extraction by Object-Lane Clustering Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool Paper ID:5057 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov Paper ID:1948 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | Self-Supervised Monocular Depth Estimation by Direction-aware Cumulative Convolution Network Wencheng Han, Junbo Yin, Jianbing Shen Paper ID:2085 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | Ordered Atomic Activity for Fine-grained Interactive Traffic Scenario Understanding Nakul Agarwal, Yi-Ting Chen Paper ID:9230 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation Zeyu Wang, Dingwen Li, Chenxu Luo, Cihang Xie, Xiaodong Yang Paper ID:9047 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving Thomas E. Huang, Yifan Liu, Luc Van Gool, Fisher Yu Paper ID:2347 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | MV-Map: Offboard HD-Map Generation with Multi-view Consistency Ziyang Xie, Ziqi Pang, Yu-Xiong Wang Paper ID:8966 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | Towards Universal LiDAR-Based 3D Object Detection by Multi-Domain Knowledge Transfer Guile Wu, Tongtong Cao, Bingbing Liu, Xingxin Chen, Yuan Ren Paper ID:8794 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders Jie Cheng, Xiaodong Mei, Ming Liu Paper ID:8774 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | UniFusion: Unified Multi-View Fusion Transformer for Spatial-Temporal Representation in Bird’s-Eye-View Zequn Qin, Jingyu Chen, Chao Chen, Xiaozhi Chen, Xi Li Paper ID:8772 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | BEVPlace: Learning LiDAR-based Place Recognition using Bird's Eye View Images Lun Luo, Shuhang Zheng, Yixuan Li, Yongzhi Fan, Beinan Yu, Si-Yuan Cao, Junwei Li, Hui-Liang Shen Paper ID:7398 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | CORE: Cooperative Reconstruction for Multi-Agent Perception Binglu Wang, Lei Zhang, Zhaozhong Wang, Yongqiang Zhao, Tianfei Zhou Paper ID:2782 |
| Thursday 5th 10:30 AM-12:30 PM | Navigation and autonomous driving | MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation Chongjian Ge, Junsong Chen, Enze Xie, Zhongdao Wang, Lanqing Hong, Huchuan Lu, Zhenguo Li, Ping Luo Paper ID:7004 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | Aggregating Feature Point Cloud for Depth Completion Zhu Yu, Zehua Sheng, Zili Zhou, Lun Luo, Si-Yuan Cao, Hong Gu, Huaqi Zhang, Hui-Liang Shen Paper ID:4824 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | Coordinate Transformer: Achieving Single-stage Multi-person Mesh Recovery from Videos Haoyuan Li, Haoye Dong, Hanchao Jia, Dong Huang, Michael C. Kampffmeyer, Liang Lin, Xiaodan Liang Paper ID:7341 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation Rajeev Yasarla, Hong Cai, Jisoo Jeong, Yunxiao Shi, Risheek Garrepalli, Fatih Porikli Paper ID:8602 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | SlaBins: Fisheye Depth Estimation using Slanted Bins on Road Environments Jongsung Lee, Gyeongsu Cho, Jeongin Park, Kyongjun Kim, Seongoh Lee, Jung-Hee Kim, Seong-Gyun Jeong, Kyungdon Joo Paper ID:8893 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | Creative Birds: Self-Supervised Single-View 3D Style Transfer Renke Wang, Guimin Que, Shuo Chen, Xiang Li, Jun Li, Jian Yang Paper ID:9144 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | Dynamic PlenOctree for Adaptive Sampling Refinement in Explicit NeRF Haotian Bai, Yiqi Lin, Yize Chen, Lin Wang Paper ID:9438 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | CORE: Co-planarity Regularized Monocular Geometry Estimation with Weak Supervision Yuguang Li, Kai Wang, Hui Li, Seon-Min Rhee, Seungju Han, Jihye Kim, Min Yang, Ran Yang, Feng Zhu Paper ID:3720 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | Relightify: Relightable 3D Faces from a Single Image via Diffusion Models Foivos Paraperas Papantoniou, Alexandros Lattas, Stylianos Moschoglou, Stefanos Zafeiriou Paper ID:9619 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | GLA-GCN: Global-local Adaptive Graph Convolutional Network for 3D Human Pose Estimation from Monocular Video Bruce X.B. Yu, Zhi Zhang, Yongxu Liu, Sheng-hua Zhong, Yan Liu, Chang Wen Chen Paper ID:9766 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | Calibrating Panoramic Depth Estimation for Practical Localization and Mapping Junho Kim, Eun Sun Lee, Young Min Kim Paper ID:3517 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | SimNP: Learning Self-Similarity Priors Between Neural Points Christopher Wewer, Eddy Ilg, Bernt Schiele, Jan Eric Lenssen Paper ID:9921 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | AGG-Net: Attention Guided Gated-Convolutional Network for Depth Image Completion Dongyue Chen, Tingxuan Huang, Zhimin Song, Shizhuo Deng, Tong Jia Paper ID:3384 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data Stanislaw Szymanowicz, Christian Rupprecht, Andrea Vedaldi Paper ID:10150 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | CVSformer: Cross-View Synthesis Transformer for Semantic Scene Completion Haotian Dong, Enhui Ma, Lubo Wang, Miaohui Wang, Wuyuan Xie, Qing Guo, Ping Li, Lingyu Liang, Kairui Yang, Di Lin Paper ID:7281 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | U-RED: Unsupervised 3D Shape Retrieval and Deformation for Partial Point Clouds Yan Di, Chenyangguang Zhang, Ruida Zhang, Fabian Manhardt, Yongzhi Su, Jason Rambach, Didier Stricker, Xiangyang Ji, Federico Tombari Paper ID:4872 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | Single Depth-image 3D Reflection Symmetry and Shape Prediction Zhaoxuan Zhang, Bo Dong, Tong Li, Felix Heide, Pieter Peers, Baocai Yin, Xin Yang Paper ID:4885 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | Self-supervised Monocular Depth Estimation: Let's Talk About The Weather Kieran Saunders, George Vogiatzis, Luis J. Manso Paper ID:6092 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | Mesh2Tex: Generating Mesh Textures from Image Queries Alexey Bokhovkin, Shubham Tulsiani, Angela Dai Paper ID:6146 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | Sketch and Text Guided Diffusion Model for Colored Point Cloud Generation Zijie Wu, Yaonan Wang, Mingtao Feng, He Xie, Ajmal Mian Paper ID:5884 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | Learning a Room with the Occ-SDF Hybrid: Signed Distance Function Mingled with Occupancy Aids Scene Representation Xiaoyang Lyu, Peng Dai, Zizhang Li, Dongyu Yan, Yi Lin, Yifan Peng, Xiaojuan Qi Paper ID:5758 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | Robust Geometry-Preserving Depth Estimation Using Differentiable Rendering Chi Zhang, Wei Yin, Gang Yu, Zhibin Wang, Tao Chen, Bin Fu, Joey Tianyi Zhou, Chunhua Shen Paper ID:6225 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | FeatureNeRF: Learning Generalizable NeRFs by Distilling Foundation Models Jianglong Ye, Naiyan Wang, Xiaolong Wang Paper ID:6462 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | One-shot Implicit Animatable Avatars with Model-based Priors Yangyi Huang, Hongwei Yi, Weiyang Liu, Haofan Wang, Boxi Wu, Wenxiao Wang, Binbin Lin, Debing Zhang, Deng Cai Paper ID:5619 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | VeRi3D: Generative Vertex-based Radiance Fields for 3D Controllable Human Image Synthesis Xinya Chen, Jiaxin Huang, Yanrui Bin, Lu Yu, Yiyi Liao Paper ID:5561 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | Diffuse3D: Wide-Angle 3D Photography via Bilateral Diffusion Yutao Jiang, Yang Zhou, Yuan Liang, Wenxi Liu, Jianbo Jiao, Yuhui Quan, Shengfeng He Paper ID:5431 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration Zheng Dang, Mathieu Salzmann Paper ID:5219 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | Body Knowledge and Uncertainty Modeling for Monocular 3D Human Body Reconstruction Yufei Zhang, Hanjing Wang, Jeffrey O. Kephart, Qiang Ji Paper ID:5205 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | Accurate 3D Face Reconstruction with Facial Component Tokens Tianke Zhang, Xuangeng Chu, Yunfei Liu, Lijian Lin, Zhendong Yang, Zhengzhuo Xu, Chengkun Cao, Fei Yu, Changyin Zhou, Chun Yuan, Yu Li Paper ID:6777 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image Wei Yin, Chi Zhang, Hao Chen, Zhipeng Cai, Gang Yu, Kaixuan Wang, Xiaozhi Chen, Chunhua Shen Paper ID:5522 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | Reconstructing Interacting Hands with Interaction Prior from Monocular Images Binghui Zuo, Zimeng Zhao, Wenqian Sun, Wei Xie, Zhou Xue, Yangang Wang Paper ID:3027 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis Guangcong Wang, Zhaoxi Chen, Chen Change Loy, Ziwei Liu Paper ID:2977 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | Beyond the Limitation of Monocular 3D Detector via Knowledge Distillation Yiran Yang, Dongshuo Yin, Xuee Rong, Xian Sun, Wenhui Diao, Xinming Li Paper ID:2486 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | HiFace: High-Fidelity 3D Face Reconstruction by Learning Static and Dynamic Details Zenghao Chai, Tianke Zhang, Tianyu He, Xu Tan, Tadas Baltrusaitis, HsiangTao Wu, Runnan Li, Sheng Zhao, Chun Yuan, Jiang Bian Paper ID:3025 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape Jiacong Xu, Yi Zhang, Jiawei Peng, Wufei Ma, Artur Jesslen, Pengliang Ji, Qixin Hu, Jiehua Zhang, Qihao Liu, Jiahao Wang, Wei Ji, Chen Wang, Xiaoding Yuan, Prakhar Kaushik, Guofeng Zhang, Jie Liu, Yushan Xie, Yawen Cui, Alan Yuille, Adam Kortylewski Paper ID:11448 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh Recovery Jiahao Li, Zongxin Yang, Xiaohan Wang, Jianxin Ma, Chang Zhou, Yi Yang Paper ID:2019 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | D-IF: Uncertainty-aware Human Digitization via Implicit Distribution Field Xueting Yang, Yihao Luo, Yuliang Xiu, Wei Wang, Hao Xu, Zhaoxin Fan Paper ID:2638 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | 3D Distillation: Improving Self-Supervised Monocular Depth Estimation on Reflective Surfaces Xuepeng Shi, Georgi Dikov, Gerhard Reitmayr, Tae-Kyun Kim, Mohsen Ghafoorian Paper ID:1908 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | DeformToon3D: Deformable Neural Radiance Fields for 3D Toonification Junzhe Zhang, Yushi Lan, Shuai Yang, Fangzhou Hong, Quan Wang, Chai Kiat Yeo, Ziwei Liu, Chen Change Loy Paper ID:1680 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | MonoDETR: Depth-guided Transformer for Monocular 3D Object Detection Renrui Zhang, Han Qiu, Tai Wang, Ziyu Guo, Ziteng Cui, Yu Qiao, Hongsheng Li, Peng Gao Paper ID:1371 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | ReLeaPS : Reinforcement Learning-based Illumination Planning for Generalized Photometric Stereo Jun Hoong Chan, Bohan Yu, Heng Guo, Jieji Ren, Zongqing Lu, Boxin Shi Paper ID:1240 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | Convex Decomposition of Indoor Scenes Vaibhav Vavilala, David Forsyth Paper ID:12390 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Vitor Guizilini, Thomas Kollar, Adrien Gaidon, Zsolt Kira, Rares Ambrus Paper ID:12782 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | UrbanGIRAFFE: Representing Urban Scenes as Compositional Generative Neural Feature Fields Yuanbo Yang, Yifei Yang, Hanlei Guo, Rong Xiong, Yue Wang, Yiyi Liao Paper ID:4672 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | Efficient Converted Spiking Neural Network for 3D and 2D Classification Yuxiang Lan, Yachao Zhang, Xu Ma, Yanyun Qu, Yun Fu Paper ID:4614 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | Distribution-Aligned Diffusion for Human Mesh Recovery Lin Geng Foo, Jia Gong, Hossein Rahmani, Jun Liu Paper ID:4311 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | Towards Zero-Shot Scale-Aware Monocular Depth Estimation Vitor Guizilini, Igor Vasiljevic, Dian Chen, Rare? Ambru?, Adrien Gaidon Paper ID:4232 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | Learning Depth Estimation for Transparent and Mirror Surfaces Alex Costanzino, Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano Paper ID:9265 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | Uni-3D: A Universal Model for Panoptic 3D Scene Reconstruction Xiang Zhang, Zeyuan Chen, Fangyin Wei, Zhuowen Tu Paper ID:9362 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | 3D VR Sketch Guided 3D Shape Prototyping and Exploration Ling Luo, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song, Yulia Gryaditskaya Paper ID:3826 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | Transparent Shape from a Single View Polarization Image Mingqi Shao, Chongkun Xia, Zhendong Yang, Junnan Huang, Xueqian Wang Paper ID:3694 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | Get3DHuman: Lifting StyleGAN-Human into a 3D Generative Model Using Pixel-Aligned Reconstruction Priors Zhangyang Xiong, Di Kang, Derong Jin, Weikai Chen, Linchao Bao, Shuguang Cui, Xiaoguang Han Paper ID:3502 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | Zero-1-to-3: Zero-shot One Image to 3D Object Ruoshi Liu, Rundi Wu, Basile Van Hoorick, Pavel Tokmakov, Sergey Zakharov, Carl Vondrick Paper ID:4886 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | FrozenRecon: Pose-free 3D Scene Reconstruction with Frozen Depth Models Guangkai Xu, Wei Yin, Hao Chen, Chunhua Shen, Kai Cheng, Feng Zhao Paper ID:5855 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | LIST: Learning Implicitly from Spatial Transformers for Single-View 3D Reconstruction Mohammad Samiul Arshad, William J. Beksi Paper ID:6404 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | 3DMiner: Discovering Shapes from Large-Scale Unannotated Image Datasets Ta-Ying Cheng, Matheus Gadelha, Sören Pirk, Thibault Groueix, Radomír M?ch, Andrew Markham, Niki Trigoni Paper ID:6423 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | Nonrigid Object Contact Estimation With Regional Unwrapping Transformer Wei Xie, Zimeng Zhao, Shiying Li, Binghui Zuo, Yangang Wang Paper ID:3060 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | SHERF: Generalizable Human NeRF from a Single Image Shoukang Hu, Fangzhou Hong, Liang Pan, Haiyi Mei, Lei Yang, Ziwei Liu Paper ID:5538 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | Full-Body Articulated Human-Object Interaction Nan Jiang, Tengyu Liu, Zhexuan Cao, Jieming Cui, Zhiyuan Zhang, Yixin Chen, He Wang, Yixin Zhu, Siyuan Huang Paper ID:5501 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | PlaneRecTR: Unified Query Learning for 3D Plane Recovery from a Single View Jingjia Shi, Shuaifeng Zhi, Kai Xu Paper ID:6525 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields Anh-Quan Cao, Raoul de Charette Paper ID:5187 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | 3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation Yi Zhang, Pengliang Ji, Angtian Wang, Jieru Mei, Adam Kortylewski, Alan Yuille Paper ID:5049 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | Two-in-One Depth: Bridging the Gap Between Monocular and Binocular Self-Supervised Depth Estimation Zhengming Zhou, Qiulei Dong Paper ID:5047 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | LRRU: Long-short Range Recurrent Updating Networks for Depth Completion Yufei Wang, Bo Li, Ge Zhang, Qi Liu, Tao Gao, Yuchao Dai Paper ID:7190 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction Yunpeng Zhang, Zheng Zhu, Dalong Du Paper ID:6059 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | CHORD: Category-level Hand-held Object Reconstruction via Shape Deformation Kailin Li, Lixin Yang, Haoyu Zhen, Zenan Lin, Xinyu Zhan, Licheng Zhong, Jian Xu, Kejian Wu, Cewu Lu Paper ID:2362 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | NDC-Scene: Boost Monocular 3D Semantic Scene Completion in Normalized Device Coordinates Space Jiawei Yao, Chuming Li, Keqiang Sun, Yingjie Cai, Hao Li, Wanli Ouyang, Hongsheng Li Paper ID:1592 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | Neural Video Depth Stabilizer Yiran Wang, Min Shi, Jiaqi Li, Zihao Huang, Zhiguo Cao, Jianming Zhang, Ke Xian, Guosheng Lin Paper ID:1187 |
| Thursday 5th 10:30 AM-12:30 PM | 3D from a single image and shape-from-x | DiLiGenT-Pi: Photometric Stereo for Planar Surfaces with Rich Details - Benchmark Dataset and Beyond Feishi Wang, Jieji Ren, Heng Guo, Mingjun Ren, Boxin Shi Paper ID:1565 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | TMR: Text-to-Motion Retrieval Using Contrastive 3D Human Motion Synthesis Mathis Petrovich, Michael J. Black, Gül Varol Paper ID:5332 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | Sequential Texts Driven Cohesive Motions Synthesis with Natural Transitions Shuai Li, Sisi Zhuang, Wenfeng Song, Xinyu Zhang, Hejia Chen, Aimin Hao Paper ID:4263 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction Chenxin Xu, Robby T. Tan, Yuhong Tan, Siheng Chen, Xinchao Wang, Yanfeng Wang Paper ID:4615 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | Explicit Motion Disentangling for Efficient Optical Flow Estimation Changxing Deng, Ao Luo, Haibin Huang, Shaodan Ma, Jiangyu Liu, Shuaicheng Liu Paper ID:4669 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | TrackFlow: Multi-Object tracking with Normalizing Flows Gianluca Mancusi, Aniello Panariello, Angelo Porrello, Matteo Fabbri, Simone Calderara, Rita Cucchiara Paper ID:12578 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | HumanMAC: Masked Motion Completion for Human Motion Prediction Ling-Hao Chen, JiaWei Zhang, Yewen Li, Yiren Pang, Xiaobo Xia, Tongliang Liu Paper ID:5809 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | Geometrized Transformer for Self-Supervised Homography Estimation Jiazhen Liu, Xirong Li Paper ID:5792 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | SemARFlow: Injecting Semantics into Unsupervised Optical Flow Estimation for Autonomous Driving Shuai Yuan, Shuzhi Yu, Hannah Kim, Carlo Tomasi Paper ID:5054 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | NeSS-ST: Detecting Good and Stable Keypoints with a Neural Stability Score and the Shi-Tomasi detector Konstantin Pakulev, Alexander Vakhitov, Gonzalo Ferrer Paper ID:12097 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | Robust Object Modeling for Visual Tracking Yidong Cai, Jie Liu, Jie Tang, Gangshan Wu Paper ID:5504 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | Social Diffusion: Long-term Multiple Human Motion Anticipation Julian Tanke, Linguang Zhang, Amy Zhao, Chengcheng Tang, Yujun Cai, Lezi Wang, Po-Chen Wu, Juergen Gall, Cem Keskin Paper ID:5135 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | Exploring Lightweight Hierarchical Vision Transformers for Efficient Visual Tracking Ben Kang, Xin Chen, Dong Wang, Houwen Peng, Huchuan Lu Paper ID:5473 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | HMD-NeMo: Online 3D Avatar Motion Generation From Sparse Observations Sadegh Aliakbarian, Fatemeh Saleh, David Collier, Pashmina Cameron, Darren Cosker Paper ID:5224 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | Learning Fine-Grained Features for Pixel-Wise Video Correspondences Rui Li, Shenglong Zhou, Dong Liu Paper ID:5056 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | GAFlow: Incorporating Gaussian Attention into Optical Flow Ao Luo, Fan Yang, Xin Li, Lang Nie, Chunyu Lin, Haoqiang Fan, Shuaicheng Liu Paper ID:5860 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | Occ^2Net: Robust Image Matching Based on 3D Occupancy Estimation for Occluded Regions Miao Fan, Mingrui Chen, Chen Hu, Shuchang Zhou Paper ID:9799 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | Locomotion-Action-Manipulation: Synthesizing Human-Scene Interactions in Complex 3D Environments Jiye Lee, Hanbyul Joo Paper ID:6139 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | Trajectory Unified Transformer for Pedestrian Trajectory Prediction Liushuai Shi, Le Wang, Sanping Zhou, Gang Hua Paper ID:9536 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | TMA: Temporal Motion Aggregation for Event-based Optical Flow Haotian Liu, Guang Chen, Sanqing Qu, Yanping Zhang, Zhijun Li, Alois Knoll, Changjun Jiang Paper ID:9515 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | Taming Contrast Maximization for Learning Sequential, Low-latency, Event-based Optical Flow Federico Paredes-Vallés, Kirk Y. W. Scheper, Christophe De Wagter, Guido C. H. E. de Croon Paper ID:10716 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | GlueStick: Robust Image Matching by Sticking Points and Lines Together Rémi Pautrat, Iago Suárez, Yifan Yu, Marc Pollefeys, Viktor Larsson Paper ID:10776 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | DARTH: Holistic Test-time Adaptation for Multiple Object Tracking Mattia Segu, Bernt Schiele, Fisher Yu Paper ID:9310 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | S-TREK: Sequential Translation and Rotation Equivariant Keypoints for Local Feature Extraction Emanuele Santellani, Christian Sormann, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer Paper ID:8949 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | Integrating Boxes and Masks: A Multi-Object Framework for Unified Visual Tracking and Segmentation Yuanyou Xu, Zongxin Yang, Yi Yang Paper ID:8750 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | Robust Frame-to-Frame Camera Rotation Estimation in Crowded Scenes Fabien Delattre, David Dirnfeld, Phat Nguyen, Stephen K Scarano, Michael J Jones, Pedro Miraldo, Erik Learned-Miller Paper ID:10928 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | Sparse Instance Conditioned Multimodal Trajectory Prediction Yonghao Dong, Le Wang, Sanping Zhou, Gang Hua Paper ID:7492 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment Jianyuan Wang, Christian Rupprecht, David Novotny Paper ID:7463 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | 3DMOTFormer: Graph Transformer for Online 3D Multi-Object Tracking Shuxiao Ding, Eike Rehder, Lukas Schneider, Marius Cordts, Juergen Gall Paper ID:7435 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | Fast Inference and Update of Probabilistic Density Estimation on Trajectory Prediction Takahiro Maeda, Norimichi Ukita Paper ID:11914 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | Supervised Homography Learning with Realistic Dataset Generation Hai Jiang, Haipeng Li, Songchen Han, Haoqiang Fan, Bing Zeng, Shuaicheng Liu Paper ID:7278 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | Joint-Relation Transformer for Multi-Person Motion Prediction Qingyao Xu, Weibo Mao, Jingze Gong, Chenxin Xu, Siheng Chen, Weidi Xie, Ya Zhang, Yanfeng Wang Paper ID:7193 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | Event-based Temporally Dense Optical Flow Estimation with Sequential Learning Wachirawit Ponghiran, Chamika Mihiranga Liyanagedera, Kaushik Roy Paper ID:7095 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | 3D Motion Magnification: Visualizing Subtle Motions from Time-Varying Radiance Fields Brandon Y. Feng, Hadi Alzayer, Michael Rubinstein, William T. Freeman, Jia-bin Huang Paper ID:7066 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | Learning Optical Flow from Event Camera with Rendered Dataset Xinglong Luo, Kunming Luo, Ao Luo, Zhengning Wang, Ping Tan, Shuaicheng Liu Paper ID:6964 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | Persistent-Transient Duality: A Multi-Mechanism Approach for Modeling Human-Object Interaction Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran Paper ID:6471 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | Deep Homography Mixture for Single Image Rolling Shutter Correction Weilong Yan, Robby T. Tan, Bing Zeng, Shuaicheng Liu Paper ID:6464 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | Fast Neural Scene Flow Xueqian Li, Jianqiao Zheng, Francesco Ferroni, Jhony Kaesemodel Pontes, Simon Lucey Paper ID:6367 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | RLSAC: Reinforcement Learning Enhanced Sample Consensus for End-to-End Robust Estimation Chang Nie, Guangming Wang, Zhe Liu, Luca Cavalli, Marc Pollefeys, Hesheng Wang Paper ID:6310 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Tracking Ruopeng Gao, Limin Wang Paper ID:6278 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | MBPTrack: Improving 3D Point Cloud Tracking with Memory Networks and Box Priors Tian-Xing Xu, Yuan-Chen Guo, Yu-Kun Lai, Song-Hai Zhang Paper ID:6257 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenes Yutao Cui, Chenkai Zeng, Xiaoyu Zhao, Yichun Yang, Gangshan Wu, Limin Wang Paper ID:6253 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | Heterogeneous Diversity Driven Active Learning for Multi-Object Tracking Rui Li, Baopeng Zhang, Jun Liu, Wei Liu, Jian Zhao, Zhu Teng Paper ID:7211 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration Kehong Gong, Dongze Lian, Heng Chang, Chuan Guo, Zihang Jiang, Xinxin Zuo, Michael Bi Mi, Xinchao Wang Paper ID:4090 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | Synchronize Feature Extracting and Matching: A Single Branch Framework for 3D Object Tracking Teli Ma, Mengmeng Wang, Jimin Xiao, Huifeng Wu, Yong Liu Paper ID:5602 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | Collaborative Tracking Learning for Frame-Rate-Insensitive Multi-Object Tracking Yiheng Liu, Junta Wu, Yi Fu Paper ID:2134 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | CiteTracker: Correlating Image and Text for Visual Tracking Xin Li, Yuqing Huang, Zhenyu He, Yaowei Wang, Huchuan Lu, Ming-Hsuan Yang Paper ID:2475 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | SINC: Spatial Composition of 3D Human Motions for Simultaneous Action Generation Nikos Athanasiou, Mathis Petrovich, Michael J. Black, Gül Varol Paper ID:3650 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | Uncertainty-aware Unsupervised Multi-Object Tracking Kai Liu, Sheng Jin, Zhihang Fu, Ze Chen, Rongxin Jiang, Jieping Ye Paper ID:3035 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | PVT++: A Simple End-to-End Latency-Aware Visual Tracking Framework Bowen Li, Ziyuan Huang, Junjie Ye, Yiming Li, Sebastian Scherer, Hang Zhao, Changhong Fu Paper ID:2191 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting Inhwan Bae, Jean Oh, Hae-Gon Jeon Paper ID:3875 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | RPEFlow: Multimodal Fusion of RGB-PointCloud-Event for Joint Optical Flow and Scene Flow Estimation Zhexiong Wan, Yuxin Mao, Jing Zhang, Yuchao Dai Paper ID:2389 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | Multi-Scale Bidirectional Recurrent Network with Hybrid Correlation for Point Cloud Based Scene Flow Estimation Wencan Cheng, Jong Hwan Ko Paper ID:2387 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | ReST: A Reconfigurable Spatial-Temporal Graph Model for Multi-Camera Multi-Object Tracking Cheng-Che Cheng, Min-Xuan Qiu, Chen-Kuo Chiang, Shang-Hong Lai Paper ID:4072 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | TAPIR: Tracking Any Point with Per-Frame Initialization and Temporal Refinement Carl Doersch, Yi Yang, Mel Vecerik, Dilara Gokay, Ankush Gupta, Yusuf Aytar, Joao Carreira, Andrew Zisserman Paper ID:3943 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | IHNet: Iterative Hierarchical Network Guided by High-Resolution Estimated Information for Scene Flow Estimation Yun Wang, Cheng Chi, Min Lin, Xin Yang Paper ID:3194 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | Can Language Models Learn to Listen? Evonne Ng, Sanjay Subramanian, Dan Klein, Angjoo Kanazawa, Trevor Darrell, Shiry Ginosar Paper ID:3663 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | XVO: Generalized Visual Odometry via Cross-Modal Self-Training Lei Lai, Zhongkai Shangguan, Jimuyang Zhang, Eshed Ohn-Bar Paper ID:2896 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | Distracting Downpour: Adversarial Weather Attacks for Motion Estimation Jenny Schmalfuss, Lukas Mehl, Andrés Bruhn Paper ID:2332 |
| Thursday 5th 10:30 AM-12:30 PM | Motion estimation, matching and tracking | Foreground-Background Distribution Modeling Transformer for Visual Object Tracking Dawei Yang, Jianfeng He, Yinchao Ma, Qianjin Yu, Tianzhu Zhang Paper ID:2329 |
| Thursday 5th 10:30 AM-12:30 PM | Action and event understanding | Weakly-Supervised Action Segmentation and Unseen Error Detection in Anomalous Instructional Videos Reza Ghoddoosian, Isht Dwivedi, Nakul Agarwal, Behzad Dariush Paper ID:9932 |
| Thursday 5th 10:30 AM-12:30 PM | Action and event understanding | Diffusion Action Segmentation Daochang Liu, Qiyue Li, Anh-Dung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu Paper ID:2585 |
| Thursday 5th 10:30 AM-12:30 PM | Action and event understanding | Audio-Visual Glance Network for Efficient Video Recognition Muhammad Adi Nugroho, Sangmin Woo, Sumin Lee, Changick Kim Paper ID:11528 |
| Thursday 5th 10:30 AM-12:30 PM | Action and event understanding | Learning from Noisy Pseudo Labels for Semi-Supervised Temporal Action Localization Kun Xia, Le Wang, Sanping Zhou, Gang Hua, Wei Tang Paper ID:3280 |
| Thursday 5th 10:30 AM-12:30 PM | Action and event understanding | Video Action Recognition with Attentive Semantic Units Yifei Chen, Dapeng Chen, Ruijin Liu, Hao Li, Wei Peng Paper ID:5491 |
| Thursday 5th 10:30 AM-12:30 PM | Action and event understanding | Masked Motion Predictors are Strong 3D Action Representation Learners Yunyao Mao, Jiajun Deng, Wengang Zhou, Yao Fang, Wanli Ouyang, Houqiang Li Paper ID:2063 |
| Thursday 5th 10:30 AM-12:30 PM | Action and event understanding | Boosting Positive Segments for Weakly-Supervised Audio-Visual Video Parsing Kranthi Kumar Rachavarapu, Rajagopalan A. N. Paper ID:10678 |
| Thursday 5th 10:30 AM-12:30 PM | Action and event understanding | Weakly-Supervised Action Localization by Hierarchically-Structured Latent Attention Modeling Guiqin Wang, Peng Zhao, Cong Zhao, Shusen Yang, Jie Cheng, Luziwei Leng, Jianxing Liao, Qinghai Guo Paper ID:5472 |
| Thursday 5th 10:30 AM-12:30 PM | Action and event understanding | Few-Shot Common Action Localization via Cross-Attentional Fusion of Context and Temporal Dynamics Juntae Lee, Mihir Jain, Sungrack Yun Paper ID:9014 |
| Thursday 5th 10:30 AM-12:30 PM | Action and event understanding | Interaction-aware Joint Attention Estimation Using People Attributes Chihiro Nakatani, Hiroaki Kawashima, Norimichi Ukita Paper ID:5385 |
| Thursday 5th 10:30 AM-12:30 PM | Action and event understanding | FineDance: A Fine-grained Choreography Dataset for 3D Full Body Dance Generation Ronghui Li, Junfan Zhao, Yachao Zhang, Mingyang Su, Zeping Ren, Han Zhang, Yansong Tang, Xiu Li Paper ID:9149 |
| Thursday 5th 10:30 AM-12:30 PM | Action and event understanding | SOAR: Scene-debiasing Open-set Action Recognition Yuanhao Zhai, Ziyi Liu, Zhenyu Wu, Yi Wu, Chunluan Zhou, David Doermann, Junsong Yuan, Gang Hua Paper ID:5263 |
| Thursday 5th 10:30 AM-12:30 PM | Action and event understanding | Leveraging Spatio-Temporal Dependency for Skeleton-Based Action Recognition Jungho Lee, Minhyeok Lee, Suhwan Cho, Sungmin Woo, Sungjun Jang, Sangyoun Lee Paper ID:2697 |
| Thursday 5th 10:30 AM-12:30 PM | Action and event understanding | Cross-Modal Learning with 3D Deformable Attention for Action Recognition Sangwon Kim, Dasom Ahn, Byoung Chul Ko Paper ID:2537 |
| Thursday 5th 10:30 AM-12:30 PM | Action and event understanding | Generative Action Description Prompts for Skeleton-based Action Recognition Wangmeng Xiang, Chao Li, Yuxuan Zhou, Biao Wang, Lei Zhang Paper ID:5074 |
| Thursday 5th 10:30 AM-12:30 PM | Action and event understanding | Self-Feedback DETR for Temporal Action Detection Jihwan Kim, Miso Lee, Jae-Pil Heo Paper ID:4823 |
| Thursday 5th 10:30 AM-12:30 PM | Action and event understanding | Skip-Plan: Procedure Planning in Instructional Videos via Condensed Action Space Learning Zhiheng Li, Wenjia Geng, Muheng Li, Lei Chen, Yansong Tang, Jiwen Lu, Jie Zhou Paper ID:10533 |
| Thursday 5th 10:30 AM-12:30 PM | Action and event understanding | The Unreasonable Effectiveness of Large Language-Vision Models for Source-Free Video Domain Adaptation Giacomo Zara, Alessandro Conti, Subhankar Roy, Stéphane Lathuilière, Paolo Rota, Elisa Ricci Paper ID:10154 |
| Thursday 5th 10:30 AM-12:30 PM | Action and event understanding | Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection Alessandro Flaborea, Luca Collorone, Guido Maria D'Amely di Melendugno, Stefano D'Arrigo, Bardh Prenkaj, Fabio Galasso Paper ID:9994 |
| Thursday 5th 10:30 AM-12:30 PM | Action and event understanding | Video Anomaly Detection via Sequentially Learning Multiple Pretext Tasks Chenrui Shi, Che Sun, Yuwei Wu, Yunde Jia Paper ID:3866 |
| Thursday 5th 10:30 AM-12:30 PM | Action and event understanding | MiniROAD: Minimal RNN Framework for Online Action Detection Joungbin An, Hyolim Kang, Su Ho Han, Ming-Hsuan Yang, Seon Joo Kim Paper ID:3740 |
| Thursday 5th 10:30 AM-12:30 PM | Action and event understanding | How Much Temporal Long-Term Context is Needed for Action Segmentation? Emad Bahrami, Gianpiero Francesca, Juergen Gall Paper ID:10139 |
| Thursday 5th 10:30 AM-12:30 PM | Action and event understanding | DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion Sauradip Nag, Xiatian Zhu, Jiankang Deng, Yi-Zhe Song, Tao Xiang Paper ID:1252 |
| Thursday 5th 10:30 AM-12:30 PM | Action and event understanding | STEPs: Self-Supervised Key Step Extraction and Localization from Unlabeled Procedural Videos Anshul Shah, Benjamin Lundell, Harpreet Sawhney, Rama Chellappa Paper ID:6317 |
| Thursday 5th 10:30 AM-12:30 PM | Action and event understanding | Efficient Video Action Detection with Token Dropout and Context Refinement Lei Chen, Zhan Tong, Yibing Song, Gangshan Wu, Limin Wang Paper ID:5968 |
| Thursday 5th 10:30 AM-12:30 PM | Action and event understanding | FSAR: Federated Skeleton-based Action Recognition with Adaptive Topology Structure and Knowledge Distillation Jingwen Guo, Hong Liu, Shitong Sun, Tianyu Guo, Min Zhang, Chenyang Si Paper ID:1297 |
| Thursday 5th 10:30 AM-12:30 PM | Action and event understanding | Exploring Predicate Visual Context in Detecting of Human-Object Interactions Frederic Z Zhang, Yuhui Yuan, Dylan Campbell, Zhuoyao Zhong, Stephen Gould Paper ID:1326 |
| Thursday 5th 10:30 AM-12:30 PM | Action and event understanding | E2E-LOAD: End-to-End Long-form Online Action Detection Shuqiang Cao, Weixin Luo, Bairui Wang, Wei Zhang, Lin Ma Paper ID:5098 |
| Thursday 5th 10:30 AM-12:30 PM | Action and event understanding | Revisiting Foreground and Background Separation in Weakly-supervised Temporal Action Localization: A Clustering-based Approach Qinying Liu, Zilei Wang, Shenghai Rong, Junjie Li, Yixin Zhang Paper ID:1432 |
| Thursday 5th 10:30 AM-12:30 PM | Action and event understanding | Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition Jungho Lee, Minhyeok Lee, Dogyoon Lee, Sangyoun Lee Paper ID:6102 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | Tiled Multiplane Images for Practical 3D Photography Numair Khan, Lei Xiao, Douglas Lanman Paper ID:9688 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | Eulerian Single-Photon Vision Shantanu Gupta, Mohit Gupta Paper ID:7148 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | ProPainter: Improving Propagation and Transformer for Video Inpainting Shangchen Zhou, Chongyi Li, Kelvin C.K. Chan, Chen Change Loy Paper ID:1666 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | Global Perception Based Autoregressive Neural Processes Jinyang Tai Paper ID:12421 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction Jiaming Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Stewart He, K Aditya Mohan, Ulugbek S. Kamilov, Hyojin Kim Paper ID:7585 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | GlowGAN: Unsupervised Learning of HDR Images from LDR Images in the Wild Chao Wang, Ana Serrano, Xingang Pan, Bin Chen, Karol Myszkowski, Hans-Peter Seidel, Christian Theobalt, Thomas Leimkühler Paper ID:10033 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | Score-Based Diffusion Models as Principled Priors for Inverse Imaging Berthy T. Feng, Jamie Smith, Michael Rubinstein, Huiwen Chang, Katherine L. Bouman, William T. Freeman Paper ID:8831 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | NLOS-NeuS: Non-line-of-sight Neural Implicit Surface Yuki Fujimura, Takahiro Kushida, Takuya Funatomi, Yasuhiro Mukaigawa Paper ID:1548 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | MEFLUT: Unsupervised 1D Lookup Tables for Multi-exposure Image Fusion Ting Jiang, Chuan Wang, Xinpeng Li, Ru Li, Haoqiang Fan, Shuaicheng Liu Paper ID:7464 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | Temporal-Coded Spiking Neural Networks with Dynamic Firing Threshold: Learning with Event-Driven Backpropagation Wenjie Wei, Malu Zhang, Hong Qu, Ammar Belatreche, Jian Zhang, Hong Chen Paper ID:11688 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | Enhancing Non-line-of-sight Imaging via Learnable Inverse Kernel and Attention Mechanisms Yanhua Yu, Siyuan Shen, Zi Wang, Binbin Huang, Yuehan Wang, Xingyue Peng, Suan Xia, Ping Liu, Ruiqian Li, Shiying Li Paper ID:2809 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | Aperture Diffraction for Compact Snapshot Spectral Imaging Tao Lv, Hao Ye, Quan Yuan, Zhan Shi, Yibo Wang, Shuming Wang, Xun Cao Paper ID:7036 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | Content-Aware Local GAN for Photo-Realistic Super-Resolution JoonKyu Park, Sanghyun Son, Kyoung Mu Lee Paper ID:5779 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | RED-PSM: Regularization by Denoising of Partially Separable Models for Dynamic Imaging Berk Iskender, Marc L. Klasky, Yoram Bresler Paper ID:12164 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | Self-Supervised Burst Super-Resolution Goutam Bhat, Michaël Gharbi, Jiawen Chen, Luc Van Gool, Zhihao Xia Paper ID:11156 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | Coherent Event Guided Low-Light Video Enhancement Jinxiu Liang, Yixin Yang, Boyu Li, Peiqi Duan, Yong Xu, Boxin Shi Paper ID:5327 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | Panoramas from Photons Sacha Jungerman, Atul Ingle, Mohit Gupta Paper ID:5320 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | Designing Phase Masks for Under-Display Cameras Anqi Yang, Eunhee Kang, Hyong-Euk Lee, Aswin C. Sankaranarayanan Paper ID:4436 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | Deep Optics for Video Snapshot Compressive Imaging Ping Wang, Lishun Wang, Xin Yuan Paper ID:4842 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | TiDy-PSFs: Computational Imaging with Time-Averaged Dynamic Point-Spread-Functions Sachin Shah, Sakshum Kulshrestha, Christopher A. Metzler Paper ID:11181 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | Generalized Lightness Adaptation with Channel Selective Normalization Mingde Yao, Jie Huang, Xin Jin, Ruikang Xu, Shenglong Zhou, Man Zhou, Zhiwei Xiong Paper ID:1212 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | Towards Nonlinear-Motion-Aware and Occlusion-Robust Rolling Shutter Correction Delin Qu, Yizhen Lao, Zhigang Wang, Dong Wang, Bin Zhao, Xuelong Li Paper ID:4910 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | FCCNs: Fully Complex-valued Convolutional Networks using Complex-valued Color Model and Loss Function Saurabh Yadav, Koteswar Rao Jerripothula Paper ID:5255 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | Event Camera Data Pre-training Yan Yang, Liyuan Pan, Liu Liu Paper ID:1207 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models Suhyeon Lee, Hyungjin Chung, Minyoung Park, Jonghyuk Park, Wi-Sun Ryu, Jong Chul Ye Paper ID:12142 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | Multiscale Structure Guided Diffusion for Image Deblurring Mengwei Ren, Mauricio Delbracio, Hossein Talebi, Guido Gerig, Peyman Milanfar Paper ID:5315 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | Generalizing Event-Based Motion Deblurring in Real-World Scenarios Xiang Zhang, Lei Yu, Wen Yang, Jianzhuang Liu, Gui-Song Xia Paper ID:6077 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | On the Robustness of Normalizing Flows for Inverse Problems in Imaging Seongmin Hong, Inbum Park, Se Young Chun Paper ID:6659 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | Learned Compressive Representations for Single-Photon 3D Imaging Felipe Gutierrez-Barragan, Fangzhou Mu, Andrei Ardelean, Atul Ingle, Claudio Bruschini, Edoardo Charbon, Yin Li, Mohit Gupta, Andreas Velten Paper ID:6516 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | Recovering a Molecule's 3D Dynamics from Liquid-phase Electron Microscopy Movies Enze Ye, Yuhang Wang, Hong Zhang, Yiqin Gao, Huan Wang, He Sun Paper ID:3727 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | NIR-assisted Video Enhancement via Unpaired 24-hour Data Muyao Niu, Zhihang Zhong, Yinqiang Zheng Paper ID:6575 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | SpinCam: High-Speed Imaging via a Rotating Point-Spread Function Dorian Chan, Mark Sheinin, Matthew O'Toole Paper ID:6378 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | RecRecNet: Rectangling Rectified Wide-Angle Images by Thin-Plate Spline Model and DoF-based Curriculum Learning Kang Liao, Lang Nie, Chunyu Lin, Zishuo Zheng, Yao Zhao Paper ID:1375 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | Affective Image Filter: Reflecting Emotions from Text to Images Shuchen Weng, Peixuan Zhang, Zheng Chang, Xinlong Wang, Si Li, Boxin Shi Paper ID:3601 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | Towards General Low-Light Raw Noise Synthesis and Modeling Feng Zhang, Bin Xu, Zhiqiang Li, Xinran Liu, Qingbo Lu, Changxin Gao, Nong Sang Paper ID:3214 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | Unsupervised Video Deraining with An Event Camera Jin Wang, Wenming Weng, Yueyi Zhang, Zhiwei Xiong Paper ID:3186 |
| Thursday 5th 10:30 AM-12:30 PM | Computational imaging | LoLep: Single-View View Synthesis with Locally-Learned Planes and Self-Attention Occlusion Inference Cong Wang, Yu-Ping Wang, Dinesh Manocha Paper ID:6926 |
| Thursday 5th 10:30 AM-12:30 PM | Embodied vision: Active agents; simulation | Skill Transformer: A Monolithic Policy for Mobile Manipulation Xiaoyu Huang, Dhruv Batra, Akshara Rai, Andrew Szot Paper ID:29 |
| Thursday 5th 10:30 AM-12:30 PM | Embodied vision: Active agents; simulation | ENTL: Embodied Navigation Trajectory Learner Klemen Kotar, Aaron Walsman, Roozbeh Mottaghi Paper ID:10212 |
| Thursday 5th 10:30 AM-12:30 PM | Embodied vision: Active agents; simulation | DREAMWALKER: Mental Planning for Continuous Vision-Language Navigation Hanqing Wang, Wei Liang, Luc Van Gool, Wenguan Wang Paper ID:2447 |
| Thursday 5th 10:30 AM-12:30 PM | Embodied vision: Active agents; simulation | Scene Graph Contrastive Learning for Embodied Navigation Kunal Pratap Singh, Jordi Salvador, Luca Weihs, Aniruddha Kembhavi Paper ID:7574 |
| Thursday 5th 10:30 AM-12:30 PM | Embodied vision: Active agents; simulation | Perpetual Humanoid Control for Real-time Simulated Avatars Zhengyi Luo, Jinkun Cao, AlexanderWinkler, Kris Kitani, Weipeng Xu Paper ID:1900 |
| Thursday 5th 10:30 AM-12:30 PM | Embodied vision: Active agents; simulation | Grounding 3D Object Affordance from 2D Interactions in Images Yuhang Yang, Wei Zhai, Hongchen Luo, Yang Cao, Jiebo Luo, Zheng-Jun Zha Paper ID:1764 |
| Thursday 5th 10:30 AM-12:30 PM | Embodied vision: Active agents; simulation | Navigating to Objects Specified by Images Jacob Krantz, Theophile Gervet, Karmesh Yadav, Austin Wang, Chris Paxton, Roozbeh Mottaghi, Dhruv Batra, Jitendra Malik, Stefan Lee, Devendra Singh Chaplot Paper ID:11169 |
| Thursday 5th 10:30 AM-12:30 PM | Embodied vision: Active agents; simulation | PEANUT: Predicting and Navigating to Unseen Targets Albert J. Zhai, Shenlong Wang Paper ID:11336 |
| Thursday 5th 10:30 AM-12:30 PM | Embodied vision: Active agents; simulation | Context-Aware Planning and Environment-Aware Memory for Instruction Following Embodied Agents Byeonghwi Kim, Jinyeon Kim, Yuyeong Kim, Cheolhong Min, Jonghyun Choi Paper ID:2210 |
| Thursday 5th 10:30 AM-12:30 PM | Embodied vision: Active agents; simulation | Learning Foresightful Dense Visual Affordance for Deformable Object Manipulation Ruihai Wu, Chuanruo Ning, Hao Dong Paper ID:6150 |
| Thursday 5th 10:30 AM-12:30 PM | Embodied vision: Active agents; simulation | Exploiting Proximity-Aware Tasks for Embodied Social Navigation Enrico Cancelli, Tommaso Campari, Luciano Serafini, Angel X. Chang, Lamberto Ballan Paper ID:6014 |
| Thursday 5th 10:30 AM-12:30 PM | Embodied vision: Active agents; simulation | Bird's-Eye-View Scene Graph for Vision-Language Navigation Rui Liu, Xiaohan Wang, Wenguan Wang, Yi Yang Paper ID:5822 |
| Thursday 5th 10:30 AM-12:30 PM | Embodied vision: Active agents; simulation | Active Neural Mapping Zike Yan, Haoxiang Yang, Hongbin Zha Paper ID:5701 |
| Thursday 5th 10:30 AM-12:30 PM | Embodied vision: Active agents; simulation | Omnidirectional Information Gathering for Knowledge Transfer-Based Audio-Visual Navigation Jinyu Chen, Wenguan Wang, Si Liu, Hongsheng Li, Yi Yang Paper ID:5514 |
| Thursday 5th 10:30 AM-12:30 PM | Embodied vision: Active agents; simulation | Multi-Object Navigation with Dynamically Learned Neural Implicit Representations Pierre Marza, Laetitia Matignon, Olivier Simonin, Christian Wolf Paper ID:1059 |
| Thursday 5th 10:30 AM-12:30 PM | Recognition: Retrieval | Unsupervised Feature Representation Learning for Domain-generalized Cross-domain Image Retrieval Conghui Hu, Can Zhang, Gim Hee Lee Paper ID:2546 |
| Thursday 5th 10:30 AM-12:30 PM | Recognition: Retrieval | DEDRIFT: Robust Similarity Search under Content Drift Dmitry Baranchuk, Matthijs Douze, Yash Upadhyay, I. Zeki Yalniz Paper ID:3639 |
| Thursday 5th 10:30 AM-12:30 PM | Recognition: Retrieval | Global Features are All You Need for Image Retrieval and Reranking Shihao Shao, Kaifeng Chen, Arjun Karpur, Qinghua Cui, André Araujo, Bingyi Cao Paper ID:9433 |
| Thursday 5th 10:30 AM-12:30 PM | Recognition: Retrieval | HSE: Hybrid Species Embedding for Deep Metric Learning Bailin Yang, Haoqiang Sun, Frederick W. B. Li, Zheng Chen, Jianlu Cai, Chao Song Paper ID:11874 |
| Thursday 5th 10:30 AM-12:30 PM | Recognition: Retrieval | Discrepant and Multi-Instance Proxies for Unsupervised Person Re-Identification Chang Zou, Zeqi Chen, Zhichao Cui, Yuehu Liu, Chi Zhang Paper ID:9450 |
| Thursday 5th 10:30 AM-12:30 PM | Recognition: Retrieval | Towards Grand Unified Representation Learning for Unsupervised Visible-Infrared Person Re-Identification Bin Yang, Jun Chen, Mang Ye Paper ID:5381 |
| Thursday 5th 10:30 AM-12:30 PM | Recognition: Retrieval | EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition Gabriele Berton, Gabriele Trivigno, Barbara Caputo, Carlo Masone Paper ID:9537 |
| Thursday 5th 10:30 AM-12:30 PM | Recognition: Retrieval | Simple Baselines for Interactive Video Retrieval with Questions and Answers Kaiqu Liang, Samuel Albanie Paper ID:9696 |
| Thursday 5th 10:30 AM-12:30 PM | Recognition: Retrieval | Fan-Beam Binarization Difference Projection (FB-BDP): A Novel Local Object Descriptor for Fine-Grained Leaf Image Retrieval Xin Chen, Bin Wang, Yongsheng Gao Paper ID:12476 |
| Thursday 5th 10:30 AM-12:30 PM | Recognition: Retrieval | Conditional Cross Attention Network for Multi-Space Embedding without Entanglement in Only a SINGLE Network Chull Hwan Song, Taebaek Hwang, Jooyoung Yoon, Shunghyun Choi, Yeong Hyeon Gu Paper ID:2580 |
| Thursday 5th 10:30 AM-12:30 PM | Recognition: Retrieval | Learning Concordant Attention via Target-aware Alignment for Visible-Infrared Person Re-identification Jianbing Wu, Hong Liu, Yuxin Su, Wei Shi, Hao Tang Paper ID:1197 |
| Thursday 5th 10:30 AM-12:30 PM | Recognition: Retrieval | Person Re-Identification without Identification via Event anonymization Shafiq Ahmad, Pietro Morerio, Alessio Del Bue Paper ID:9624 |
| Thursday 5th 10:30 AM-12:30 PM | Recognition: Retrieval | Divide&Classify: Fine-Grained Classification for City-Wide Visual Geo-Localization Gabriele Trivigno, Gabriele Berton, Juan Aragon, Barbara Caputo, Carlo Masone Paper ID:8939 |
| Thursday 5th 10:30 AM-12:30 PM | Recognition: Retrieval | Dark Side Augmentation: Generating Diverse Night Examples for Metric Learning Albert Mohwald, Tomas Jenicek, Ond?ej Chum Paper ID:12539 |
| Thursday 5th 10:30 AM-12:30 PM | Recognition: Retrieval | PIDRo: Parallel Isomeric Attention with Dynamic Routing for Text-Video Retrieval Peiyan Guan, Renjing Pei, Bin Shao, Jianzhuang Liu, Weimian Li, Jiaxi Gu, Hang Xu, Songcen Xu, Youliang Yan, Edmund Y. Lam Paper ID:8897 |
| Thursday 5th 10:30 AM-12:30 PM | Recognition: Retrieval | Unified Pre-Training with Pseudo Texts for Text-To-Image Person Re-Identification Zhiyin Shao, Xinyu Zhang, Changxing Ding, Jian Wang, Jingdong Wang Paper ID:4641 |
| Thursday 5th 10:30 AM-12:30 PM | Recognition: Retrieval | Modality Unifying Network for Visible-Infrared Person Re-Identification Hao Yu, Xu Cheng, Wei Peng, Weihao Liu, Guoying Zhao Paper ID:5076 |
| Thursday 5th 10:30 AM-12:30 PM | Recognition: Retrieval | DeepChange: A Long-Term Person Re-Identification Benchmark with Clothes Change Peng Xu, Xiatian Zhu Paper ID:6294 |
| Thursday 5th 10:30 AM-12:30 PM | Recognition: Retrieval | LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang Paper ID:10532 |
| Thursday 5th 10:30 AM-12:30 PM | Recognition: Retrieval | Dual Pseudo-Labels Interactive Self-Training for Semi-Supervised Visible-Infrared Person Re-Identification Jiangming Shi, Yachao Zhang, Xiangbo Yin, Yuan Xie, Zhizhong Zhang, Jianping Fan, Zhongchao Shi, Yanyun Qu Paper ID:4572 |
| Thursday 5th 10:30 AM-12:30 PM | Recognition: Retrieval | BT^2: Backward-compatible Training with Basis Transformation Yifei Zhou, Zilu Li, Abhinav Shrivastava, Hengshuang Zhao, Antonio Torralba, Taipeng Tian, Ser-Nam Lim Paper ID:6372 |
| Thursday 5th 10:30 AM-12:30 PM | Recognition: Retrieval | Prototypical Mixing and Retrieval-Based Refinement for Label Noise-Resistant Image Retrieval Xinlong Yang, Haixin Wang, Jinan Sun, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo Paper ID:4539 |
| Thursday 5th 10:30 AM-12:30 PM | Recognition: Retrieval | Learning Spatial-context-aware Global Visual Feature Representation for Instance Image Retrieval Zhongyan Zhang, Lei Wang, Luping Zhou, Piotr Koniusz Paper ID:6450 |
| Thursday 5th 10:30 AM-12:30 PM | Recognition: Retrieval | Coarse-to-Fine: Learning Compact Discriminative Representation for Single-Stage Image Retrieval Yunquan Zhu, Xinkai Gao, Bo Ke, Ruizhi Qiao, Xing Sun Paper ID:10708 |
| Thursday 5th 10:30 AM-12:30 PM | Recognition: Retrieval | Visible-Infrared Person Re-Identification via Semantic Alignment and Affinity Inference Xingye Fang, Yang Yang, Ying Fu Paper ID:5006 |
| Thursday 5th 10:30 AM-12:30 PM | Recognition: Retrieval | Part-Aware Transformer for Generalizable Person Re-identification Hao Ni, Yuke Li, Lianli Gao, Heng Tao Shen, Jingkuan Song Paper ID:6052 |
| Thursday 5th 10:30 AM-12:30 PM | Recognition: Retrieval | Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge for Generic Image Representations Nikolaos-Antonios Ypsilantis, Kaifeng Chen, Bingyi Cao, Mário Lipovský, Pelin Dogan-Schönberger, Grzegorz Makosa, Boris Bluntschli, Mojtaba Seyedhosseini, Ond?ej Chum, André Araujo Paper ID:7232 |
| Thursday 5th 10:30 AM-12:30 PM | Recognition: Retrieval | Dual Learning with Dynamic Knowledge Distillation for Partially Relevant Video Retrieval Jianfeng Dong, Minsong Zhang, Zheng Zhang, Xianke Chen, Daizong Liu, Xiaoye Qu, Xun Wang, Baolong Liu Paper ID:5511 |
| Thursday 5th 10:30 AM-12:30 PM | Recognition: Retrieval | Fine-grained Unsupervised Domain Adaptation for Gait Recognition Kang Ma, Ying Fu, Dezhi Zheng, Yunjie Peng, Chunshui Cao, Yongzhen Huang Paper ID:7000 |
| Thursday 5th 10:30 AM-12:30 PM | Recognition: Retrieval | FashionNTM: Multi-turn Fashion Image Retrieval via Cascaded Memory Anwesan Pal, Sahil Wadhwa, Ayush Jaiswal, Xu Zhang, Yue Wu, Rakesh Chada, Pradeep Natarajan, Henrik I. Christensen Paper ID:11098 |
| Thursday 5th 10:30 AM-12:30 PM | Recognition: Retrieval | CrossLoc3D: Aerial-Ground Cross-Source 3D Place Recognition Tianrui Guan, Aswath Muthuselvam, Montana Hoover, Xijun Wang, Jing Liang, Adarsh Jagan Sathyamoorthy, Damon Conover, Dinesh Manocha Paper ID:11008 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | ImbSAM: A Closer Look at Sharpness-Aware Minimization in Class-Imbalanced Recognition Yixuan Zhou, Yi Qu, Xing Xu, Hengtao Shen Paper ID:2854 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | LFS-GAN: Lifelong Few-Shot Image Generation Juwon Seo, Ji-Su Kang, Gyeong-Moon Park Paper ID:9596 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection Yuyang Liu, Yang Cong, Dipam Goswami, Xialei Liu, Joost van de Weijer Paper ID:3201 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation David Brüggemann, Christos Sakaridis, Tim Broedermann, Luc Van Gool Paper ID:3271 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | Towards Effective Instance Discrimination Contrastive Loss for Unsupervised Domain Adaptation Yixin Zhang, Zilei Wang, Junjie Li, Jiafan Zhuang, Zihan Lin Paper ID:3719 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | Adversarial Bayesian Augmentation for Single-Source Domain Generalization Sheng Cheng, Tejas Gokhale, Yezhou Yang Paper ID:9648 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | Measuring Asymmetric Gradient Discrepancy in Parallel Continual Learning Fan Lyu, Qing Sun, Fanhua Shang, Liang Wan, Wei Feng Paper ID:3608 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | CSDA: Learning Category-Scale Joint Feature for Domain Adaptive Object Detection Changlong Gao, Chengxu Liu, Yujie Dun, Xueming Qian Paper ID:3548 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | Distilling from Similar Tasks for Transfer Learning on a Budget Kenneth Borup, Cheng Perng Phoo, Bharath Hariharan Paper ID:10130 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | Complementary Domain Adaptation and Generalization for Unsupervised Continual Domain Shift Learning Wonguk Cho, Jinha Park, Taesup Kim Paper ID:9951 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | Camera-Driven Representation Learning for Unsupervised Domain Adaptive Person Re-identification Geon Lee, Sanghoon Lee, Dohyung Kim, Younghoon Shin, Yongsang Yoon, Bumsub Ham Paper ID:10504 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | Introducing Language Guidance in Prompt-based Continual Learning Muhammad Gul Zain Ali Khan, Muhammad Ferjad Naeem, Luc Van Gool, Didier Stricker, Federico Tombari, Muhammad Zeshan Afzal Paper ID:3626 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | Fast and Accurate Transferability Measurement by Evaluating Intra-class Feature Variance Huiwen Xu, U Kang Paper ID:9680 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | A Unified Continual Learning Framework with General Parameter-Efficient Tuning Qiankun Gao, Chen Zhao, Yifan Sun, Teng Xi, Gang Zhang, Bernard Ghanem, Jian Zhang Paper ID:3318 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | SFHarmony: Source Free Domain Adaptation for Distributed Neuroimaging Analysis Nicola K Dinsdale, Mark Jenkinson, Ana IL Namburete Paper ID:10684 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | Towards Realistic Evaluation of Industrial Continual Learning Scenarios with an Emphasis on Energy Consumption and Computational Footprint Vivek Chavan, Paul Koch, Marian Schlüter, Clemens Briese Paper ID:12669 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive Semantic Segmentation Kaihong Wang, Donghyun Kim, Rogerio Feris, Margrit Betke Paper ID:1050 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | PC-Adapter: Topology-Aware Adapter for Efficient Domain Adaption on Point Clouds with Rectified Pseudo-label Joonhyung Park, Hyunjin Seo, Eunho Yang Paper ID:12573 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | DETA: Denoised Task Adaptation for Few-Shot Learning Ji Zhang, Lianli Gao, Xu Luo, Hengtao Shen, Jingkuan Song Paper ID:1304 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | Activate and Reject: Towards Safe Domain Generalization under Category Shift Chaoqi Chen, Luyao Tang, Leitian Tao, Hong-Yu Zhou, Yue Huang, Xiaoguang Han, Yizhou Yu Paper ID:1355 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization Xiran Wang, Jian Zhang, Lei Qi, Yinghuan Shi Paper ID:12361 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | Continual Zero-Shot Learning through Semantically Guided Generative Random Walks Wenxuan Zhang, Paul Janson, Kai Yi, Ivan Skorokhodov, Mohamed Elhoseiny Paper ID:12134 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | Zero-Shot Point Cloud Segmentation by Semantic-Visual Aware Synthesis Yuwei Yang, Munawar Hayat, Zhao Jin, Hongyuan Zhu, Yinjie Lei Paper ID:1547 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition Qihao Zhao, Chen Jiang, Wei Hu, Fan Zhang, Jun Liu Paper ID:1674 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach Vimal K B, Saketh Bachu, Tanmay Garg, Niveditha Lakshmi Narasimhan, Raghavan Konuru, Vineeth N Balasubramanian Paper ID:11742 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | Confidence-based Visual Dispersal for Few-shot Unsupervised Domain Adaptation Yizhe Xiong, Hui Chen, Zijia Lin, Sicheng Zhao, Guiguang Ding Paper ID:3721 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | BEV-DG: Cross-Modal Learning under Bird's-Eye View for Domain Generalization of 3D Semantic Segmentation Miaoyu Li, Yachao Zhang, Xu Ma, Yanyun Qu, Yun Fu Paper ID:2542 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | CDFSL-V: Cross-Domain Few-Shot Learning for Videos Sarinda Samarasinghe, Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah Paper ID:11080 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | Energy-based Self-Training and Normalization for Unsupervised Domain Adaptation Samitha Herath, Basura Fernando, Ehsan Abbasnejad, Munawar Hayat, Shahram Khadivi, Mehrtash Harandi, Hamid Rezatofighi, Gholamreza Haffari Paper ID:11335 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-Trained Vision-Language Models Kecheng Zheng, Wei Wu, Ruili Feng, Kai Zhu, Jiawei Liu, Deli Zhao, Zheng-Jun Zha, Wei Chen, Yujun Shen Paper ID:2258 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | NAPA-VQ: Neighborhood-Aware Prototype Augmentation with Vector Quantization for Continual Learning Tamasha Malepathirana, Damith Senanayake, Saman Halgamuge Paper ID:11387 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance Zeyi Huang, Andy Zhou, Zijian Ling, Mu Cai, Haohan Wang, Yong Jae Lee Paper ID:9676 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | ViM: Vision Middleware for Unified Downstream Transferring Yutong Feng, Biao Gong, Jianwen Jiang, Yiliang Lv, Yujun Shen, Deli Zhao, Jingren Zhou Paper ID:3797 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | Learning to Learn: How to Continuously Teach Humans and Machines Parantak Singh, You Li, Ankur Sikarwar, Stan Weixian Lei, Difei Gao, Morgan B. Talbot, Ying Sun, Mike Zheng Shou, Gabriel Kreiman, Mengmi Zhang Paper ID:7265 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic Segmentation Jinjing Zhu, Yunhao Luo, Xu Zheng, Hao Wang, Lin Wang Paper ID:7169 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning Jun-Yeong Moon, Keon-Hee Park, Jung Uk Kim, Gyeong-Moon Park Paper ID:9504 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | Heterogeneous Forgetting Compensation for Class-Incremental Learning Jiahua Dong, Wenqi Liang, Yang Cong, Gan Sun Paper ID:5032 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | Disposable Transfer Learning for Selective Source Task Unlearning Seunghee Koh, Hyounguk Shon, Janghyeon Lee, Hyeong Gwon Hong, Junmo Kim Paper ID:5044 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | Online Continual Learning on Hierarchical Label Expansion Byung Hyun Lee, Okchul Jung, Jonghyun Choi, Se Young Chun Paper ID:6732 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | Black-Box Unsupervised Domain Adaptation with Bi-Directional Atkinson-Shiffrin Memory Jingyi Zhang, Jiaxing Huang, Xueying Jiang, Shijian Lu Paper ID:6577 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | Local and Global Logit Adjustments for Long-Tailed Learning Yingfan Tao, Jingna Sun, Hao Yang, Li Chen, Xu Wang, Wenming Yang, Daniel Du, Min Zheng Paper ID:6258 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | FS-DETR: Few-Shot DEtection TRansformer with Prompting and without Re-Training Adrian Bulat, Ricardo Guerrero, Brais Martinez, Georgios Tzimiropoulos Paper ID:6223 |
| Thursday 5th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 1 | Tuning Pre-trained Model via Moment Probing Mingze Gao, Qilong Wang, Zhenyi Lin, Pengfei Zhu, Qinghua Hu, Jingbo Zhou Paper ID:5954 |
| Thursday 5th 10:30 AM-12:30 PM | Humans, 3D modeling, and driving | Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models Lukas Höllein, Ang Cao, Andrew Owens, Justin Johnson, Matthias Nießner Paper ID:2901 |
| Thursday 5th 10:30 AM-12:30 PM | Humans, 3D modeling, and driving | LivePose: Online 3D Reconstruction from Monocular Video with Dynamic Camera Poses Noah Stier, Baptiste Angles, Liang Yang, Yajie Yan, Alex Colburn, Ming Chuang Paper ID:12458 |
| Thursday 5th 10:30 AM-12:30 PM | Humans, 3D modeling, and driving | NDDepth: Normal-Distance Assisted Monocular Depth Estimation Shuwei Shao, Zhongcai Pei, Weihai Chen, Xingming Wu, Zhengguo Li Paper ID:1992 |
| Thursday 5th 10:30 AM-12:30 PM | Humans, 3D modeling, and driving | LATR: 3D Lane Detection from Monocular Images with Transformer Yueru Luo, Chaoda Zheng, Xu Yan, Tang Kun, Chao Zheng, Shuguang Cui, Zhen Li Paper ID:6680 |
| Thursday 5th 10:30 AM-12:30 PM | Humans, 3D modeling, and driving | DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving Xiaosong Jia, Yulu Gao, Li Chen, Junchi Yan, Patrick Langechuan Liu, Hongyang Li Paper ID:2403 |
| Thursday 5th 10:30 AM-12:30 PM | Humans, 3D modeling, and driving | Dynamic Point Fields Sergey Prokudin, Qianli Ma, Maxime Raafat, Julien Valentin, Siyu Tang Paper ID:9234 |
| Thursday 5th 10:30 AM-12:30 PM | Humans, 3D modeling, and driving | Generalizing Neural Human Fitting to Unseen Poses With Articulated SE(3) Equivariance Haiwen Feng, Peter Kulits, Shichen Liu, Michael J. Black, Victoria Fernandez Abrevaya Paper ID:6846 |
| Thursday 5th 10:30 AM-12:30 PM | Humans, 3D modeling, and driving | Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views Siwei Zhang, Qianli Ma, Yan Zhang, Sadegh Aliakbarian, Darren Cosker, Siyu Tang Paper ID:2208 |
| Thursday 5th 10:30 AM-12:30 PM | Humans, 3D modeling, and driving | DECO: Dense Estimation of 3D Human-Scene Contact In The Wild Shashank Tripathi, Agniv Chatterjee, Jean-Claude Passy, Hongwei Yi, Dimitrios Tzionas, Michael J. Black Paper ID:1035 |
| Thursday 5th 10:30 AM-12:30 PM | Humans, 3D modeling, and driving | Decoupled Iterative Refinement Framework for Interacting Hands Reconstruction from a Single RGB Image Pengfei Ren, Chao Wen, Xiaozheng Zheng, Zhou Xue, Haifeng Sun, Qi Qi, Jingyu Wang, Jianxin Liao Paper ID:1444 |
| Thursday 5th 10:30 AM-12:30 PM | Humans, 3D modeling, and driving | Chasing Clouds: Differentiable Volumetric Rasterisation of Point Clouds as a Highly Efficient and Accurate Loss for Large-Scale Deformable 3D Registration Mattias P. Heinrich, Alexander Bigalke, Christoph Großbröhmer, Lasse Hansen Paper ID:10213 |
| Thursday 5th 10:30 AM-12:30 PM | Humans, 3D modeling, and driving | Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and Forget Less Rizhao Cai, Yawen Cui, Zhi Li, Zitong Yu, Haoliang Li, Yongjian Hu, Alex Kot Paper ID:9753 |
| Thursday 5th 10:30 AM-12:30 PM | Low-level vision and theory | A 5-Point Minimal Solver for Event Camera Relative Motion Estimation Ling Gao, Hang Su, Daniel Gehrig, Marco Cannici, Davide Scaramuzza, Laurent Kneip Paper ID:12412 |
| Thursday 5th 10:30 AM-12:30 PM | Low-level vision and theory | General Planar Motion from a Pair of 3D Correspondences Juan Carlos Dibene, Zhixiang Min, Enrique Dunn Paper ID:10124 |
| Thursday 5th 10:30 AM-12:30 PM | Low-level vision and theory | Beyond the Pixel: a Photometrically Calibrated HDR Dataset for Luminance and Color Prediction Christophe Bolduc, Justine Giroux, Marc Hébert, Claude Demers, Jean-François Lalonde Paper ID:6978 |
| Thursday 5th 10:30 AM-12:30 PM | Low-level vision and theory | DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion Zixiang Zhao, Haowen Bai, Yuanzhi Zhu, Jiangshe Zhang, Shuang Xu, Yulun Zhang, Kai Zhang, Deyu Meng, Radu Timofte, Luc Van Gool Paper ID:1997 |
| Thursday 5th 10:30 AM-12:30 PM | Low-level vision and theory | Iterative Prompt Learning for Unsupervised Backlit Image Enhancement Zhexin Liang, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Chen Change Loy Paper ID:3791 |
| Thursday 5th 10:30 AM-12:30 PM | Low-level vision and theory | Similarity Min-Max: Zero-Shot Day-Night Domain Adaptation Rundong Luo, Wenjing Wang, Wenhan Yang, Jiaying Liu Paper ID:5714 |
| Thursday 5th 10:30 AM-12:30 PM | Low-level vision and theory | Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation Jinyuan Liu, Zhu Liu, Guanyao Wu, Long Ma, Risheng Liu, Wei Zhong, Zhongxuan Luo, Xin Fan Paper ID:5799 |
| Thursday 5th 10:30 AM-12:30 PM | Low-level vision and theory | Computational 3D Imaging with Position Sensors Jeremy Klotz, Mohit Gupta, Aswin C. Sankaranarayanan Paper ID:5459 |
| Thursday 5th 10:30 AM-12:30 PM | Low-level vision and theory | Passive Ultra-Wideband Single-Photon Imaging Mian Wei, Sotiris Nousias, Rahul Gulve, David B. Lindell, Kiriakos N. Kutulakos Paper ID:6608 |
| Thursday 5th 10:30 AM-12:30 PM | Low-level vision and theory | Viewing Graph Solvability in Practice Federica Arrigoni, Tomas Pajdla, Andrea Fusiello Paper ID:1583 |
| Thursday 5th 10:30 AM-12:30 PM | Low-level vision and theory | Minimal Solutions to Generalized Three-View Relative Pose Problem Yaqing Ding, Chiang-Heng Chien, Viktor Larsson, Karl Åström, Benjamin Kimia Paper ID:4934 |
| Thursday 5th 10:30 AM-12:30 PM | Low-level vision and theory | SoDaCam: Software-defined Cameras via Single-Photon Imaging Varun Sundar, Andrei Ardelean, Tristan Swedish, Claudio Brusschini, Edoardo Charbon, Mohit Gupta Paper ID:7164 |
Thursday 5th 02:30 PM-04:30 PM - Posters
| Date & Time | Session | Paper Title Author·s Name·s |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Hierarchical Contrastive Learning for Pattern-Generalizable Image Corruption Detection Xin Feng, Yifeng Xu, Guangming Lu, Wenjie Pei Paper ID:6339 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration Yuchun Miao, Lefei Zhang, Liangpei Zhang, Dacheng Tao Paper ID:6280 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain Removal Yun Guo, Xueyao Xiao, Yi Chang, Shumin Deng, Luxin Yan Paper ID:6265 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | VAPCNet: Viewpoint-Aware 3D Point Cloud Completion Zhiheng Fu, Longguang Wang, Lian Xu, Zhiyong Wang, Hamid Laga, Yulan Guo, Farid Boussaid, Mohammed Bennamoun Paper ID:6222 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | AccFlow: Backward Accumulation for Long-Range Optical Flow Guangyang Wu, Xiaohong Liu, Kunming Luo, Xi Liu, Qingqing Zheng, Shuaicheng Liu, Xinyang Jiang, Guangtao Zhai, Wenyi Wang Paper ID:5821 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Improving Transformer-based Image Matching by Cascaded Capturing Spatially Informative Keypoints Chenjie Cao, Yanwei Fu Paper ID:5930 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Low-Light Image Enhancement with Multi-Stage Residue Quantization and Brightness-Aware Attention Yunlong Liu, Tao Huang, Weisheng Dong, Fangfang Wu, Xin Li, Guangming Shi Paper ID:8956 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Random Sub-Samples Generation for Self-Supervised Real Image Denoising Yizhong Pan, Xiao Liu, Xiangyu Liao, Yuanzhouhan Cao, Chao Ren Paper ID:6697 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | RSFNet: A White-Box Image Retouching Approach using Region-Specific Color Filters Wenqi Ouyang, Yi Dong, Xiaoyang Kang, Peiran Ren, Xin Xu, Xuansong Xie Paper ID:9894 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Physics-Driven Turbulence Image Restoration with Stochastic Refinement Ajay Jaiswal, Xingguang Zhang, Stanley H. Chan, Zhangyang Wang Paper ID:10232 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | SYENet: A Simple Yet Effective Network for Multiple Low-Level Vision Tasks with Real-Time Performance on Mobile Device Weiran Gou, Ziyao Yi, Yan Xiang, Shaoqing Li, Zibin Liu, Dehui Kong, Ke Xu Paper ID:10450 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Self-supervised Image Denoising with Downsampled Invariance Loss and Conditional Blind-Spot Network Yeong Il Jang, Keuntek Lee, Gu Yong Park, Seyun Kim, Nam Ik Cho Paper ID:9887 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Variational Degeneration to Structural Refinement: A Unified Framework for Superimposed Image Decomposition Wenyu Li, Yan Xu, Yang Yang, Haoran Ji, Yue Lang Paper ID:10608 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Reconstructed Convolution Module Based Look-Up Tables for Efficient Image Super-Resolution Guandu Liu, Yukang Ding, Mading Li, Ming Sun, Xing Wen, Bin Wang Paper ID:10773 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Self-supervised Pre-training for Mirror Detection Jiaying Lin, Rynson W.H. Lau Paper ID:11556 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Downscaled Representation Matters: Improving Image Rescaling with Collaborative Downscaled Images Bingna Xu, Yong Guo, Luoqian Jiang, Mianjie Yu, Jian Chen Paper ID:12521 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Self-supervised Monocular Underwater Depth Recovery, Image Restoration, and a Real-sea Video Dataset Nisha Varghese, Ashish Kumar, A. N. Rajagopalan Paper ID:10662 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Rethinking Video Frame Interpolation from Shutter Mode Induced Degradation Xiang Ji, Zhixiang Wang, Zhihang Zhong, Yinqiang Zheng Paper ID:9775 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Single Image Deblurring with Row-dependent Blur Magnitude Xiang Ji, Zhixiang Wang, Shin'ichi Satoh, Yinqiang Zheng Paper ID:9752 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Multi-view Self-supervised Disentanglement for General Image Denoising Hao Chen, Chenyuan Qu, Yu Zhang, Chen Chen, Jianbo Jiao Paper ID:9683 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Joint Demosaicing and Deghosting of Time-Varying Exposures for Single-Shot HDR Imaging Jungwoo Kim, Min H. Kim Paper ID:6856 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Diff-Retinex: Rethinking Low-light Image Enhancement with A Generative Diffusion Model Xunpeng Yi, Han Xu, Hao Zhang, Linfeng Tang, Jiayi Ma Paper ID:6859 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Dual Aggregation Transformer for Image Super-Resolution Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang, Fisher Yu Paper ID:6951 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Video Object Segmentation-aware Video Frame Interpolation Jun-Sang Yoo, Hongjae Lee, Seung-Won Jung Paper ID:7173 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | RawHDR: High Dynamic Range Image Reconstruction from a Single Raw Image Yunhao Zou, Chenggang Yan, Ying Fu Paper ID:7309 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Multi-Scale Residual Low-Pass Filter Network for Image Deblurring Jiangxin Dong, Jinshan Pan, Zhongbao Yang, Jinhui Tang Paper ID:8646 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Indoor Depth Recovery Based on Deep Unfolding with Non-Local Prior Yuhui Dai, Junkang Zhang, Faming Fang, Guixu Zhang Paper ID:8685 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Learning Correction Filter via Degradation-Adaptive Regression for Blind Single Image Super-Resolution Hongyang Zhou, Xiaobin Zhu, Jianqing Zhu, Zheng Han, Shi-Xue Zhang, Jingyan Qin, Xu-Cheng Yin Paper ID:9257 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-Resolution Zhengyu Liang, Yingqian Wang, Longguang Wang, Jungang Yang, Shilin Zhou, Yulan Guo Paper ID:9542 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Both Diverse and Realism Matter: Physical Attribute and Style Alignment for Rainy Image Generation Changfeng Yu, Shiming Chen, Yi Chang, Yibing Song, Luxin Yan Paper ID:5532 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Learned Image Reasoning Prior Penetrates Deep Unfolding Network for Panchromatic and Multi-spectral Image Fusion Man Zhou, Jie Huang, Naishan Zheng, Chongyi Li Paper ID:6004 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | The Devil is in the Upsampling: Architectural Decisions Made Simpler for Denoising with Deep Image Prior Yilin Liu, Jiang Li, Yunkui Pang, Dong Nie, Pew-Thian Yap Paper ID:4000 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | SimFIR: A Simple Framework for Fisheye Image Rectification with Self-supervised Representation Learning Hao Feng, Wendi Wang, Jiajun Deng, Wengang Zhou, Li Li, Houqiang Li Paper ID:4008 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Exploring Temporal Frequency Spectrum in Deep Video Deblurring Qi Zhu, Man Zhou, Naishan Zheng, Chongyi Li, Jie Huang, Feng Zhao Paper ID:4066 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | ExposureDiffusion: Learning to Expose for Low-light Image Enhancement Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex C. Kot, Bihan Wen Paper ID:2118 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | High-Resolution Document Shadow Removal via A Large-Scale Real-World Dataset and A Frequency-Aware Shadow Erasing Net Zinuo Li, Xuhang Chen, Chi-Man Pun, Xiaodong Cun Paper ID:2758 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Towards Saner Deep Image Registration Bin Duan, Ming Zhong, Yan Yan Paper ID:1893 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation Xiaoyu Shi, Zhaoyang Huang, Weikang Bian, Dasong Li, Manyuan Zhang, Ka Chun Cheung, Simon See, Hongwei Qin, Jifeng Dai, Hongsheng Li Paper ID:3726 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Scene Matters: Model-based Deep Video Compression Lv Tang, Xinfeng Zhang, Gai Zhang, Xiaoqi Ma Paper ID:3658 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Non-Coaxial Event-Guided Motion Deblurring with Spatial Alignment Hoonhee Cho, Yuhwan Jeong, Taewoo Kim, Kuk-Jin Yoon Paper ID:2652 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement Yuanhao Cai, Hao Bian, Jing Lin, Haoqian Wang, Radu Timofte, Yulun Zhang Paper ID:2364 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Feature Modulation Transformer: Cross-Refinement of Global Representation via High-Frequency Prior for Image Super-Resolution Ao Li, Le Zhang, Yun Liu, Ce Zhu Paper ID:2319 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | MVPSNet: Fast Generalizable Multi-view Photometric Stereo Dongxu Zhao, Daniel Lichy, Pierre-Nicolas Perrin, Jan-Michael Frahm, Soumyadip Sengupta Paper ID:2312 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | FSI: Frequency and Spatial Interactive Learning for Image Restoration in Under-Display Cameras Chengxu Liu, Xuan Wang, Shuai Li, Yuzhi Wang, Xueming Qian Paper ID:3539 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution Zixiang Zhao, Jiangshe Zhang, Xiang Gu, Chengli Tan, Shuang Xu, Yulun Zhang, Radu Timofte, Luc Van Gool Paper ID:3569 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Empowering Low-Light Image Enhancer through Customized Learnable Priors Naishan Zheng, Man Zhou, Yanmeng Dong, Xiangyu Rui, Jie Huang, Chongyi Li, Feng Zhao Paper ID:2285 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Learning Image Harmonization in the Linear Color Space Ke Xu, Gerhard Petrus Hancke, Rynson W.H. Lau Paper ID:2265 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Under-Display Camera Image Restoration with Scattering Effect Binbin Song, Xiangyu Chen, Shuning Xu, Jiantao Zhou Paper ID:2251 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution Jiamian Wang, Huan Wang, Yulun Zhang, Yun Fu, Zhiqiang Tao Paper ID:3630 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Single Image Defocus Deblurring via Implicit Neural Inverse Kernels Yuhui Quan, Xin Yao, Hui Ji Paper ID:4565 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Degradation-Resistant Unfolding Network for Heterogeneous Image Fusion Chunming He, Kai Li, Guoxia Xu, Yulun Zhang, Runze Hu, Zhenhua Guo, Xiu Li Paper ID:1458 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Graphics2RAW: Mapping Computer Graphics Images to Sensor RAW Images Donghwan Seo, Abhijith Punnappurath, Luxi Zhao, Abdelrahman Abdelhamed, Sai Kiran Tedla, Sanguk Park , Jihwan Choe, Michael S. Brown Paper ID:5163 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Lighting up NeRF via Unsupervised Decomposition and Enhancement Haoyuan Wang, Xiaogang Xu, Ke Xu, Rynson W.H. Lau Paper ID:5161 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branches Xin Lin, Chao Ren, Xiao Liu, Jie Huang, Yinjie Lei Paper ID:1742 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Adverse Weather Removal with Codebook Priors Tian Ye, Sixiang Chen, Jinbin Bai, Jun Shi, Chenghao Xue, Jingxia Jiang, Junjie Yin, Erkang Chen, Yun Liu Paper ID:1332 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | MSRA-SR: Image Super-resolution Transformer with Multi-scale Shared Representation Acquisition Xiaoqiang Zhou, Huaibo Huang, Ran He, Zilei Wang, Jie Hu, Tieniu Tan Paper ID:1531 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Deep Video Demoiréing via Compact Invertible Dyadic Decomposition Yuhui Quan, Haoran Huang, Shengfeng He, Ruotao Xu Paper ID:4670 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | SILT: Shadow-Aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels Han Yang, Tianyu Wang, Xiaowei Hu, Chi-Wing Fu Paper ID:4899 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Innovating Real Fisheye Image Correction with Dual Diffusion Architecture Shangrong Yang, Chunyu Lin, Kang Liao, Yao Zhao Paper ID:6518 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Adaptive Illumination Mapping for Shadow Detection in Raw Images Jiayu Sun, Ke Xu, Youwei Pang, Lihe Zhang, Huchuan Lu, Gerhard Hancke, Rynson Lau Paper ID:5710 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | GEDepth: Ground Embedding for Monocular Depth Estimation Xiaodong Yang, Zhuang Ma, Zhiyu Ji, Zhe Ren Paper ID:6083 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Lightweight Image Super-Resolution with Superpixel Token Interaction Aiping Zhang, Wenqi Ren, Yi Liu, Xiaochun Cao Paper ID:6170 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Unfolding Framework with Prior of Convolution-Transformer Mixture and Uncertainty Estimation for Video Snapshot Compressive Imaging Siming Zheng, Xin Yuan Paper ID:5951 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Efficient Unified Demosaicing for Bayer and Non-Bayer Patterned Image Sensors Haechang Lee, Dongwon Park, Wongi Jeong, Kijeong Kim, Hyunwoo Je, Dongil Ryu, Se Young Chun Paper ID:6633 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | LAN-HDR: Luminance-based Alignment Network for High Dynamic Range Video Reconstruction Haesoo Chung, Nam Ik Cho Paper ID:6024 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Fine-grained Visible Watermark Removal Li Niu, Xing Zhao, Bo Zhang, Liqing Zhang Paper ID:5765 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | SRFormer: Permuted Self-Attention for Single Image Super-Resolution Yupeng Zhou, Zhen Li, Chun-Le Guo, Song Bai, Ming-Ming Cheng, Qibin Hou Paper ID:5789 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | DLGSANet: Lightweight Dynamic Local and Global Self-Attention Networks for Image Super-Resolution Xiang Li, Jiangxin Dong, Jinhui Tang, Jinshan Pan Paper ID:9991 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | MB-TaylorFormer: Multi-Branch Efficient Transformer Expanded by Taylor Formula for Image Dehazing Yuwei Qiu, Kaihao Zhang, Chenxi Wang, Wenhan Luo, Hongdong Li, Zhi Jin Paper ID:10006 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Multi-Frequency Representation Enhancement with Privilege Information for Video Super-Resolution Fei Li, Linfeng Zhang, Zikun Liu, Juan Lei, Zhenbo Li Paper ID:10079 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | COMPASS: High-Efficiency Deep Image Compression with Arbitrary-scale Spatial Scalability Jongmin Park, Jooyoung Lee, Munchurl Kim Paper ID:10421 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Alignment-free HDR Deghosting with Semantics Consistent Transformer Steven Tel, Zongwei Wu, Yulun Zhang, Barthélémy Heyrman, Cédric Demonceaux, Radu Timofte, Dominique Ginhac Paper ID:10478 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection Nikola Zubi?, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza Paper ID:10936 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Towards High-Quality Specular Highlight Removal by Leveraging Large-Scale Synthetic Data Gang Fu, Qing Zhang, Lei Zhu, Chunxia Xiao, Ping Li Paper ID:11289 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | DynamicISP: Dynamically Controlled Image Signal Processor for Image Recognition Masakazu Yoshimura, Junji Otsuka, Atsushi Irie, Takeshi Ohashi Paper ID:11628 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Dancing in the Dark: A Benchmark towards General Low-light Video Enhancement Huiyuan Fu, Wenkai Zheng, Xicong Wang, Jiaxuan Wang, Heng Zhang, Huadong Ma Paper ID:11700 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression Sheng Shen, Huanjing Yue, Jingyu Yang Paper ID:11902 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | OmniZoomer: Learning to Move and Zoom in on Sphere at High-Resolution Zidong Cao, Hao Ai, Yan-Pei Cao, Ying Shan, Xiaohu Qie, Lin Wang Paper ID:7160 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Pyramid Dual Domain Injection Network for Pan-sharpening Xuanhua He, Keyu Yan, Rui Li, Chengjun Xie, Jie Zhang, Man Zhou Paper ID:7285 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Implicit Neural Representation for Cooperative Low-light Image Enhancement Shuzhou Yang, Moxuan Ding, Yanmin Wu, Zihan Li, Jian Zhang Paper ID:7514 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Physically-Plausible Illumination Distribution Estimation Egor Ershov, Vasily Tesalin, Ivan Ermakov, Michael S. Brown Paper ID:7588 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Score Priors Guided Deep Variational Inference for Unsupervised Real-World Single Image Denoising Jun Cheng, Tao Liu, Shan Tan Paper ID:8813 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Semantic-Aware Dynamic Parameter for Video Inpainting Transformer Eunhye Lee, Jinsu Yoo, Yunjeong Yang, Sungyong Baik, Tae Hyun Kim Paper ID:8902 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstruction Miaoyu Li, Ying Fu, Ji Liu, Yulun Zhang Paper ID:5674 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Improving Lens Flare Removal with General-Purpose Pipeline and Multiple Light Sources Recovery Yuyan Zhou, Dong Liang, Songcan Chen, Sheng-Jun Huang, Shuo Yang, Chongyi Li Paper ID:9155 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | RFD-ECNet: Extreme Underwater Image Compression with Reference to Feature Dictionary Mengyao Li, Liquan Shen, Peng Ye, Guorui Feng, Zheyin Wang Paper ID:9553 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Learning Continuous Exposure Value Representations for Single-Image HDR Reconstruction Su-Kai Chen, Hung-Lin Yen, Yu-Lun Liu, Min-Hung Chen, Hou-Ning Hu, Wen-Hsiao Peng, Yen-Yu Lin Paper ID:6637 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Focal Network for Image Restoration Yuning Cui, Wenqi Ren, Xiaochun Cao, Alois Knoll Paper ID:4419 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | CIRI: Curricular Inactivation for Residue-aware One-shot Video Inpainting Weiying Zheng, Cheng Xu, Xuemiao Xu, Wenxi Liu, Shengfeng He Paper ID:4026 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image Composition Xiaoyu Liu, Ming Liu, Junyi Li, Shuai Liu, Xiaotao Wang, Lei Lei, Wangmeng Zuo Paper ID:4154 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces Zhicun Yin, Ming Liu, Xiaoming Li, Hui Yang, Longan Xiao, Wangmeng Zuo Paper ID:4156 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Boundary-Aware Divide and Conquer: A Diffusion-Based Solution for Unsupervised Shadow Removal Lanqing Guo, Chong Wang, Wenhan Yang, Yufei Wang, Bihan Wen Paper ID:2188 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Leveraging Inpainting for Single-Image Shadow Removal Xiaoguang Li, Qing Guo, Rabab Abdelfattah, Di Lin, Wei Feng, Ivor Tsang, Song Wang Paper ID:4238 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Hybrid Spectral Denoising Transformer with Guided Attention Zeqiang Lai, Chenggang Yan, Ying Fu Paper ID:4274 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Examining Autoexposure for Challenging Scenes SaiKiran Tedla, Beixuan Yang, Michael S. Brown Paper ID:1951 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Self-supervised Learning to Bring Dual Reversed Rolling Shutter Images Alive Wei Shang, Dongwei Ren, Chaoyu Feng, Xiaotao Wang, Lei Lei, Wangmeng Zuo Paper ID:4514 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | DiffIR: Efficient Diffusion Model for Image Restoration Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, Luc Van Gool Paper ID:4536 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Sparse Sampling Transformer with Uncertainty-Driven Ranking for Unified Removal of Raindrops and Rain Streaks Sixiang Chen, Tian Ye, Jinbin Bai, Erkang Chen, Jun Shi, Lei Zhu Paper ID:1830 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | LMR: A Large-Scale Multi-Reference Dataset for Reference-Based Super-Resolution Lin Zhang, Xin Li, Dongliang He, Fu Li, Errui Ding, Zhaoxiang Zhang Paper ID:2667 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Low-Light Image Enhancement with Illumination-Aware Gamma Correction and Complete Image Modelling Network Yinglong Wang, Zhen Liu, Jianzhuang Liu, Songcen Xu, Shuaicheng Liu Paper ID:5508 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Single Image Reflection Separation via Component Synergy Qiming Hu, Xiaojie Guo Paper ID:3141 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Learning Rain Location Prior for Nighttime Deraining Fan Zhang, Shaodi You, Yu Li, Ying Fu Paper ID:3160 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Exploring Positional Characteristics of Dual-Pixel Data for Camera Autofocus Myungsub Choi, Hana Lee, Hyong-euk Lee Paper ID:2465 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Continuously Masked Transformer for Image Inpainting Keunsoo Ko, Chang-Su Kim Paper ID:3450 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Learning Data-Driven Vector-Quantized Degradation Model for Animation Video Super-Resolution Zixi Tuo, Huan Yang, Jianlong Fu, Yujie Dun, Xueming Qian Paper ID:2278 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution Long Sun, Jiangxin Dong, Jinhui Tang, Jinshan Pan Paper ID:4626 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagation Yijun Yang, Angelica I. Aviles-Rivero, Huazhu Fu, Ye Liu, Weiming Wang, Lei Zhu Paper ID:2799 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Snow Removal in Video: A New Dataset and A Novel Method Haoyu Chen, Jingjing Ren, Jinjin Gu, Hongtao Wu, Xuequan Lu, Haoming Cai, Lei Zhu Paper ID:1659 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Boosting Single Image Super-Resolution via Partial Channel Shifting Xiaoming Zhang, Tianrui Li, Xiaole Zhao Paper ID:1343 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Towards Real-World Burst Image Super-Resolution: Benchmark and Method Pengxu Wei, Yujing Sun, Xingbei Guo, Chang Liu, Guanbin Li, Jie Chen, Xiangyang Ji, Liang Lin Paper ID:5416 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | On the Effectiveness of Spectral Discriminators for Perceptual Quality Improvement Xin Luo, Yunan Zhu, Shunxin Xu, Dong Liu Paper ID:5441 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | E2NeRF: Event Enhanced Neural Radiance Fields from Blurry Images Yunshan Qi, Lin Zhu, Yu Zhang, Jia Li Paper ID:1199 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Iterative Denoiser and Noise Estimator for Self-Supervised Image Denoising Yunhao Zou, Chenggang Yan, Ying Fu Paper ID:4662 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Lighting Every Darkness in Two Pairs: A Calibration-Free Pipeline for RAW Denoising Xin Jin, Jia-Wen Xiao, Ling-Hao Han, Chunle Guo, Ruixun Zhang, Xialei Liu, Chongyi Li Paper ID:1819 |
| Thursday 5th 02:30 PM-04:30 PM | Low-level and physics-based vision | Fingerprinting Deep Image Restoration Models Yuhui Quan, Huan Teng, Ruotao Xu, Jun Huang, Hui Ji Paper ID:4930 |
| Thursday 5th 02:30 PM-04:30 PM | Computer vision theory | Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph Generation Yukuan Min, Aming Wu, Cheng Deng Paper ID:3072 |
| Thursday 5th 02:30 PM-04:30 PM | Computer vision theory | DCPB: Deformable Convolution Based on the Poincaré Ball for Top-view Fisheye Cameras Xuan Wei, Zhidan Ran, Xiaobo Lu Paper ID:2923 |
| Thursday 5th 02:30 PM-04:30 PM | Computer vision theory | FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs Peng Tu, Xu Xie, Guo Ai, Yuexiang Li, Yawen Huang, Yefeng Zheng Paper ID:1295 |
| Thursday 5th 02:30 PM-04:30 PM | Computer vision theory | Curvature-Aware Training for Coordinate Networks Hemanth Saratchandran, Shin-Fang Chng, Sameera Ramasinghe, Lachlan MacDonald, Simon Lucey Paper ID:11399 |
| Thursday 5th 02:30 PM-04:30 PM | Computer vision theory | Yes, we CANN: Constrained Approximate Nearest Neighbors for Local Feature-Based Visual Localization Dror Aiger, Andre Araujo, Simon Lynen Paper ID:9283 |
| Thursday 5th 02:30 PM-04:30 PM | Computer vision theory | Unleashing the Potential of Spiking Neural Networks with Dynamic Confidence Chen Li, Edward G Jones, Steve Furber Paper ID:12542 |
| Thursday 5th 02:30 PM-04:30 PM | Computer vision theory | Minimal Solutions to Uncalibrated Two-view Geometry with Known Epipoles Gaku Nakano Paper ID:9386 |
| Thursday 5th 02:30 PM-04:30 PM | Computer vision theory | FBLNet: FeedBack Loop Network for Driver Attention Prediction Yilong Chen, Zhixiong Nan, Tao Xiang Paper ID:1975 |
| Thursday 5th 02:30 PM-04:30 PM | Computer vision theory | Deep Feature Deblurring Diffusion for Detecting Out-of-Distribution Objects Aming Wu, Da Chen, Cheng Deng Paper ID:3098 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | Long-range Multimodal Pretraining for Movie Understanding Dawit Mureja Argaw, Joon-Young Lee, Markus Woodson, In So Kweon, Fabian Caba Heilbron Paper ID:1809 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | Cross-view Semantic Alignment for Livestreaming Product Recognition Wenjie Yang, Yiyi Chen, Yan Li, Yanhua Cheng, Xudong Liu, Quan Chen, Han Li Paper ID:3110 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | HTML: Hybrid Temporal-scale Multimodal Learning Framework for Referring Video Object Segmentation Mingfei Han, Yali Wang, Zhihui Li, Lina Yao, Xiaojun Chang, Yu Qiao Paper ID:3029 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | DyGait: Exploiting Dynamic Representations for High-performance Gait Recognition Ming Wang, Xianda Guo, Beibei Lin, Tian Yang, Zheng Zhu, Lincheng Li, Shunli Zhang, Xin Yu Paper ID:4047 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | Identity-Consistent Aggregation for Video Object Detection Chaorui Deng, Da Chen, Qi Wu Paper ID:6661 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation Yuecong Xu, Jianfei Yang, Yunjiao Zhou, Zhenghua Chen, Min Wu, Xiaoli Li Paper ID:9709 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | Action Sensitivity Learning for Temporal Action Localization Jiayi Shao, Xiaohan Wang, Ruijie Quan, Junjun Zheng, Jiang Yang, Yi Yang Paper ID:9875 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | SwinLSTM: Improving Spatiotemporal Prediction Accuracy using Swin Transformer and LSTM Song Tang, Chuang Li, Pu Zhang, RongNian Tang Paper ID:9913 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | LVOS: A Benchmark for Long-term Video Object Segmentation Lingyi Hong, Wenchao Chen, Zhongying Liu, Wei Zhang, Pinxue Guo, Zhaoyu Chen, Wenqiang Zhang Paper ID:2381 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | MGMAE: Motion Guided Masking for Video Masked Autoencoding Bingkun Huang, Zhiyu Zhao, Guozhen Zhang, Yu Qiao, Limin Wang Paper ID:9983 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | Markov Game Video Augmentation for Action Segmentation Nicolas Aziere, Sinisa Todorovic Paper ID:9088 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | COOL-CHIC: Coordinate-based Low Complexity Hierarchical Image Codec Théo Ladune, Pierrick Philippe, Félix Henry, Gordon Clare, Thomas Leguay Paper ID:8861 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | ReGen: A good Generative Zero-Shot Video Classifier Should be Rewarded Adrian Bulat, Enrique Sanchez, Brais Martinez, Georgios Tzimiropoulos Paper ID:2444 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | Task Agnostic Restoration of Natural Video Dynamics Muhammad Kashif Ali, Dongjin Kim, Tae Hyun Kim Paper ID:7430 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | Normalizing Flows for Human Pose Anomaly Detection Or Hirschorn, Shai Avidan Paper ID:7365 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | Movement Enhancement toward Multi-Scale Video Feature Representation for Temporal Action Detection Zixuan Zhao, Dongqi Wang, Xu Zhao Paper ID:10803 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | Event-Guided Procedure Planning from Instructional Videos with Text Supervision An-Lan Wang, Kun-Yu Lin, Jia-Run Du, Jingke Meng, Wei-Shi Zheng Paper ID:7153 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | SCANet: Scene Complexity Aware Network for Weakly-Supervised Video Moment Retrieval Sunjae Yoon, Gwanhyeong Koo, Dahyun Kim, Chang D. Yoo Paper ID:2745 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | Spatio-temporal Prompting Network for Robust Video Feature Extraction Guanxiong Sun, Chi Wang, Zhaoyu Zhang, Jiankang Deng, Stefanos Zafeiriou, Yang Hua Paper ID:2861 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | TeD-SPAD: Temporal Distinctiveness for Self-Supervised Privacy-Preservation for Video Anomaly Detection Joseph Fioresi, Ishan Rajendrakumar Dave, Mubarak Shah Paper ID:2874 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | Non-Semantics Suppressed Mask Learning for Unsupervised Video Semantic Compression Yuan Tian, Guo Lu, Guangtao Zhai, Zhiyong Gao Paper ID:6934 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | UnLoc: A Unified Framework for Video Localization Tasks Shen Yan, Xuehan Xiong, Arsha Nagrani, Anurag Arnab, Zhonghao Wang, Weina Ge, David Ross, Cordelia Schmid Paper ID:1895 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | SkeleTR: Towards Skeleton-based Action Recognition in the Wild Haodong Duan, Mingze Xu, Bing Shuai, Davide Modolo, Zhuowen Tu, Joseph Tighe, Alessandro Bergamo Paper ID:6583 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | AutoAD II: The Sequel - Who, When, and What in Movie Audio Description Tengda Han, Max Bain, Arsha Nagrani, Gul Varol, Weidi Xie, Andrew Zisserman Paper ID:3138 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | What Can a Cook in Italy Teach a Mechanic in India? Action Recognition Generalisation Over Scenarios and Locations Chiara Plizzari, Toby Perrett, Barbara Caputo, Dima Damen Paper ID:2272 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | Localizing Moments in Long Video Via Multimodal Guidance Wayner Barrios, Mattia Soldan, Alberto Mario Ceballos-Arroyo, Fabian Caba Heilbron, Bernard Ghanem Paper ID:6246 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | LAC - Latent Action Composition for Skeleton-based Action Segmentation Di Yang, Yaohui Wang, Antitza Dantcheva, Quan Kong, Lorenzo Garattoni, Gianpiero Francesca, Francois Bremond Paper ID:5050 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | RIGID: Recurrent GAN Inversion and Editing of Real Face Videos Yangyang Xu, Shengfeng He, Kwan-Yee K. Wong, Ping Luo Paper ID:3734 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | Uncertainty-aware State Space Transformer for Egocentric 3D Hand Trajectory Forecasting Wentao Bao, Lele Chen, Libing Zeng, Zhong Li, Yi Xu, Junsong Yuan, Yu Kong Paper ID:5471 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | What Can Simple Arithmetic Operations Do for Temporal Modeling? Wenhao Wu, Yuxin Song, Zhun Sun, Jingdong Wang, Chang Xu, Wanli Ouyang Paper ID:3150 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | UATVR: Uncertainty-Adaptive Text-Video Retrieval Bo Fang, Wenhao Wu, Chang Liu, Yu Zhou, Yuxin Song, Weiping Wang, Xiangbo Shu, Xiangyang Ji, Jingdong Wang Paper ID:1568 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance Annotation Hanjun Li, Xiujun Shu, Sunan He, Ruizhi Qiao, Wei Wen, Taian Guo, Bei Gan, Xing Sun Paper ID:5549 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | Unsupervised Open-Vocabulary Object Localization in Videos Ke Fan, Zechen Bai, Tianjun Xiao, Dominik Zietlow, Max Horn, Zixu Zhao, Carl-Johann Simon-Gabriel, Mike Zheng Shou, Francesco Locatello, Bernt Schiele, Thomas Brox, Zheng Zhang, Yanwei Fu, Tong He Paper ID:5550 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | HiVLP: Hierarchical Interactive Video-Language Pre-Training Bin Shao, Jianzhuang Liu, Renjing Pei, Songcen Xu, Peng Dai, Juwei Lu, Weimian Li, Youliang Yan Paper ID:5580 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | Scanning Only Once: An End-to-end Framework for Fast Temporal Grounding in Long Videos Yulin Pan, Xiangteng He, Biao Gong, Yiliang Lv, Yujun Shen, Yuxin Peng, Deli Zhao Paper ID:5686 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | Video-FocalNets: Spatio-Temporal Focal Modulation for Video Action Recognition Syed Talal Wasim, Muhammad Uzair Khattak, Muzammal Naseer, Salman Khan, Mubarak Shah, Fahad Shahbaz Khan Paper ID:12436 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | Lip2Vec: Efficient and Robust Visual Speech Recognition via Latent-to-Latent Visual to Audio Representation Mapping Yasser Abdelaziz Dahou Djilali, Sanath Narayan, Haithem Boussaid, Ebtessam Almazrouei, Merouane Debbah Paper ID:11495 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | Video OWL-ViT: Temporally-consistent Open-world Localization in Video Georg Heigold, Matthias Minderer, Alexey Gritsenko, Alex Bewley, Daniel Keysers, Mario Lu?i?, Fisher Yu, Thomas Kipf Paper ID:12571 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | Tubelet-Contrastive Self-Supervision for Video-Efficient Generalization Fida Mohammad Thoker, Hazel Doughty, Cees G. M. Snoek Paper ID:1703 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | Memory-and-Anticipation Transformer for Online Action Understanding Jiahao Wang, Guo Chen, Yifei Huang, Limin Wang, Tong Lu Paper ID:3787 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | Video Action Segmentation via Contextually Refined Temporal Keypoints Borui Jiang, Yang Jin, Zhentao Tan, Yadong Mu Paper ID:4326 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | Knowing Where to Focus: Event-aware Transformer for Video Grounding Jinhyun Jang, Jungin Park, Jin Kim, Hyeongjun Kwon, Kwanghoon Sohn Paper ID:6118 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | MPI-Flow: Learning Realistic Optical Flow with Multiplane Images Yingping Liang, Jiaming Liu, Debing Zhang, Ying Fu Paper ID:3193 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | Discovering Spatio-Temporal Rationales for Video Question Answering Yicong Li, Junbin Xiao, Chun Feng, Xiang Wang, Tat-Seng Chua Paper ID:5933 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | Scalable Video Object Segmentation with Simplified Framework Qiangqiang Wu, Tianyu Yang, Wei Wu, Antoni B. Chan Paper ID:3232 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | Root Pose Decomposition Towards Generic Non-rigid 3D Reconstruction with Monocular Videos Yikai Wang, Yinpeng Dong, Fuchun Sun, Xiao Yang Paper ID:5851 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | Helping Hands: An Object-Aware Ego-Centric Video Recognition Model Chuhan Zhang, Ankush Gupta, Andrew Zisserman Paper ID:3155 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | Modeling the Relative Visual Tempo for Self-supervised Skeleton-based Action Recognition Yisheng Zhu, Hu Han, Zhengtao Yu, Guangcan Liu Paper ID:4350 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | Tube-Link: A Flexible Cross Tube Framework for Universal Video Segmentation Xiangtai Li, Haobo Yuan, Wenwei Zhang, Guangliang Cheng, Jiangmiao Pang, Chen Change Loy Paper ID:4188 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | Disentangling Spatial and Temporal Learning for Efficient Image-to-Video Transfer Learning Zhiwu Qing, Shiwei Zhang, Ziyuan Huang, Yingya Zhang, Changxin Gao, Deli Zhao, Nong Sang Paper ID:1714 |
| Thursday 5th 02:30 PM-04:30 PM | Video analysis and understanding | Tem-Adapter: Adapting Image-Text Pretraining for Video Question Answer Guangyi Chen, Xiao Liu, Guangrun Wang, Kun Zhang, Philip H.S. Torr, Xiao-Ping Zhang, Yansong Tang Paper ID:3975 |
| Thursday 5th 02:30 PM-04:30 PM | Object pose estimation and tracking | MixCycle: Mixup Assisted Semi-Supervised 3D Single Object Tracking with Cycle Consistency Qiao Wu, Jiaqi Yang, Kun Sun, Chu'ai Zhang, Yanning Zhang, Mathieu Salzmann Paper ID:5658 |
| Thursday 5th 02:30 PM-04:30 PM | Object pose estimation and tracking | Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation Jun Zhou, Kai Chen, Linlin Xu, Qi Dou, Jing Qin Paper ID:5071 |
| Thursday 5th 02:30 PM-04:30 PM | Object pose estimation and tracking | IST-Net: Prior-Free Category-Level Pose Estimation with Implicit Space Transformation Jianhui Liu, Yukang Chen, Xiaoqing Ye, Xiaojuan Qi Paper ID:2776 |
| Thursday 5th 02:30 PM-04:30 PM | Object pose estimation and tracking | Adaptive and Background-Aware Vision Transformer for Real-Time UAV Tracking Shuiwang Li, Yangxiang Yang, Dan Zeng, Xucheng Wang Paper ID:12437 |
| Thursday 5th 02:30 PM-04:30 PM | Object pose estimation and tracking | VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations Jiehong Lin, Zewei Wei, Yabin Zhang, Kui Jia Paper ID:5562 |
| Thursday 5th 02:30 PM-04:30 PM | Object pose estimation and tracking | Tracking by Natural Language Specification with Long Short-term Context Decoupling Ding Ma, Xiangqian Wu Paper ID:1312 |
| Thursday 5th 02:30 PM-04:30 PM | Object pose estimation and tracking | CheckerPose: Progressive Dense Keypoint Localization for Object Pose Estimation with Graph Neural Network Ruyi Lian, Haibin Ling Paper ID:2451 |
| Thursday 5th 02:30 PM-04:30 PM | Object pose estimation and tracking | Deep Active Contours for Real-time 6-DoF Object Tracking Long Wang, Shen Yan, Jianan Zhen, Yu Liu, Maojun Zhang, Guofeng Zhang, Xiaowei Zhou Paper ID:11833 |
| Thursday 5th 02:30 PM-04:30 PM | Object pose estimation and tracking | Learning Symmetry-Aware Geometry Correspondences for 6D Object Pose Estimation Heng Zhao, Shenxing Wei, Dahu Shi, Wenming Tan, Zheyang Li, Ye Ren, Xing Wei, Yi Yang, Shiliang Pu Paper ID:3577 |
| Thursday 5th 02:30 PM-04:30 PM | Object pose estimation and tracking | Query6DoF: Learning Sparse Queries as Implicit Shape Prior for Category-Level 6DoF Pose Estimation Ruiqi Wang, Xinggang Wang, Te Li, Rong Yang, Minhong Wan, Wenyu Liu Paper ID:4914 |
| Thursday 5th 02:30 PM-04:30 PM | Object pose estimation and tracking | SOCS: Semantically-Aware Object Coordinate Space for Category-Level 6D Object Pose Estimation under Large Shape Variations Boyan Wan, Yifei Shi, Kai Xu Paper ID:2483 |
| Thursday 5th 02:30 PM-04:30 PM | Object pose estimation and tracking | Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation Yang Hai, Rui Song, Jiaojiao Li, David Ferstl, Yinlin Hu Paper ID:8656 |
| Thursday 5th 02:30 PM-04:30 PM | Object pose estimation and tracking | Tracking by 3D Model Estimation of Unknown Objects in Videos Denys Rozumnyi, Ji?í Matas, Marc Pollefeys, Vittorio Ferrari, Martin R. Oswald Paper ID:4135 |
| Thursday 5th 02:30 PM-04:30 PM | Object pose estimation and tracking | Algebraically Rigorous Quaternion Framework for the Neural Network Pose Estimation Problem Chen Lin, Andrew J. Hanson, Sonya M. Hanson Paper ID:11183 |
| Thursday 5th 02:30 PM-04:30 PM | Object pose estimation and tracking | Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation Fulin Liu, Yinlin Hu, Mathieu Salzmann Paper ID:9490 |
| Thursday 5th 02:30 PM-04:30 PM | Object pose estimation and tracking | Vanishing Point Estimation in Uncalibrated Images with Prior Gravity Direction Rémi Pautrat, Shaohui Liu, Petr Hruby, Marc Pollefeys, Daniel Barath Paper ID:10761 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | 2D3D-MATR: 2D-3D Matching Transformer for Detection-Free Registration Between Images and Point Clouds Minhao Li, Zheng Qin, Zhirui Gao, Renjiao Yi, Chenyang Zhu, Yulan Guo, Kai Xu Paper ID:9249 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | Learning Versatile 3D Shape Generation with Improved Auto-regressive Models Simian Luo, Xuelin Qian, Yanwei Fu, Yinda Zhang, Ying Tai, Zhenyu Zhang, Chengjie Wang, Xiangyang Xue Paper ID:9138 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | CaPhy: Capturing Physical Properties for Animatable Human Avatars Zhaoqi Su, Liangxiao Hu, Siyou Lin, Hongwen Zhang, Shengping Zhang, Justus Thies, Yebin Liu Paper ID:8923 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models Yaohua Zha, Jinpeng Wang, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia Paper ID:8714 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | Structure-Aware Surface Reconstruction via Primitive Assembly Jingen Jiang, Mingyang Zhao, Shiqing Xin, Yanchao Yang, Hanxiao Wang, Xiaohong Jia, Dong-Ming Yan Paper ID:8638 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | BaRe-ESA: A Riemannian Framework for Unregistered Human Body Shapes Emmanuel Hartman, Emery Pierson, Martin Bauer, Nicolas Charon, Mohamed Daoudi Paper ID:10197 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | Speech4Mesh: Speech-Assisted Monocular 3D Facial Reconstruction for Speech-Driven 3D Facial Animation Shan He, Haonan He, Shuo Yang, Xiaoyan Wu, Pengcheng Xia, Bing Yin, Cong Liu, Lirong Dai, Chang Xu Paper ID:11646 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | Learning Point Cloud Completion without Complete Point Clouds: A Pose-Aware Approach Jihun Kim, Hyeokjun Kweon, Yunseo Yang, Kuk-Jin Yoon Paper ID:5922 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | GeoUDF: Surface Reconstruction from 3D Point Clouds via Geometry-guided Distance Representation Siyu Ren, Junhui Hou, Xiaodong Chen, Ying He, Wenping Wang Paper ID:9440 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | SurfsUP: Learning Fluid Simulation for Novel Surfaces Arjun Mani, Ishaan Preetam Chandratreya, Elliot Creager, Carl Vondrick, Richard Zemel Paper ID:12656 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | DeFormer: Integrating Transformers with Deformable Models for 3D Shape Abstraction from a Single Image Di Liu, Xiang Yu, Meng Ye, Qilong Zhangli, Zhuowei Li, Zhixing Zhang, Dimitris N. Metaxas Paper ID:4212 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | Neural Deformable Models for 3D Bi-Ventricular Heart Shape Reconstruction and Modeling from 2D Sparse Cardiac Magnetic Resonance Imaging Meng Ye, Dong Yang, Mikael Kanski, Leon Axel, Dimitris Metaxas Paper ID:1918 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion George Kiyohiro Nakayama, Mikaela Angelina Uy, Jiahui Huang, Shi-Min Hu, Ke Li, Leonidas Guibas Paper ID:1943 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | Self-supervised Learning of Implicit Shape Representation with Dense Correspondence for Deformable Objects Baowen Zhang, Jiahe Li, Xiaoming Deng, Yinda Zhang, Cuixia Ma, Hongan Wang Paper ID:6063 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | Neural Implicit Surface Evolution Tiago Novello, Vinicius da Silva, Guilherme Schardong, Luiz Schirmer, Helio Lopes, Luiz Velho Paper ID:9254 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | PointDC: Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-Modal Distillation and Super-Voxel Clustering Zisheng Chen, Hongbin Xu, Weitao Chen, Zhipeng Zhou, Haihong Xiao, Baigui Sun, Xuansong Xie, Wenxiong kang Paper ID:4109 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion Ziya Erkoç, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai Paper ID:9487 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | Leveraging SE(3) Equivariance for Learning 3D Geometric Shape Assembly Ruihai Wu, Chenrui Tie, Yushi Du, Yan Zhao, Hao Dong Paper ID:6151 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | DPF-Net: Combining Explicit Shape Priors in Deformable Primitive Field for Unsupervised Structural Reconstruction of 3D Objects Qingyao Shuai, Chi Zhang, Kaizhi Yang, Xuejin Chen Paper ID:9018 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | Sample-adaptive Augmentation for Point Cloud Recognition Against Real-world Corruptions Jie Wang, Lihe Ding, Tingfa Xu, Shaocong Dong, Xinli Xu, Long Bai, Jianan Li Paper ID:6260 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | 3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack Yunbo Tao, Daizong Liu, Pan Zhou, Yulai Xie, Wei Du, Wei Hu Paper ID:2530 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds Ruikai Cui, Shi Qiu, Saeed Anwar, Jiawei Liu, Chaoyue Xing, Jing Zhang, Nick Barnes Paper ID:2628 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | Towards Multi-Layered 3D Garments Animation Yidi Shao, Chen Change Loy, Bo Dai Paper ID:2700 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control Ruixiang Jiang, Can Wang, Jingbo Zhang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao Paper ID:2993 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | Blending-NeRF: Text-Driven Localized Editing in Neural Radiance Fields Hyeonseop Song, Seokhun Choi, Hoseok Do, Chul Lee, Taehyeong Kim Paper ID:7201 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | SIRA-PCR: Sim-to-Real Adaptation for 3D Point Cloud Registration Suyi Chen, Hao Xu, Ru Li, Guanghui Liu, Chi-Wing Fu, Shuaicheng Liu Paper ID:6922 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | 3D Semantic Subspace Traverser: Empowering 3D Generative Model with Shape Editing Capability Ruowei Wang, Yu Liu, Pei Su, Jianwei Zhang, Qijun Zhao Paper ID:6790 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | DMNet: Delaunay Meshing Network for 3D Shape Representation Chen Zhang, Ganzhangqin Yuan, Wenbing Tao Paper ID:6766 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | Attention Discriminant Sampling for Point Clouds Cheng-Yao Hong, Yu-Ying Chou, Tyng-Luh Liu Paper ID:4074 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | SALAD: Part-Level Latent Diffusion for 3D Shape Generation and Manipulation Juil Koo, Seungwoo Yoo, Minh Hieu Nguyen, Minhyuk Sung Paper ID:1806 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | MAPConNet: Self-supervised 3D Pose Transfer with Mesh and Point Contrastive Learning Jiaze Sun, Zhixiang Chen, Tae-Kyun Kim Paper ID:6638 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition Xuanyu Yi, Jiajun Deng, Qianru Sun, Xian-Sheng Hua, Joo-Hwee Lim, Hanwang Zhang Paper ID:5891 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | EPiC: Ensemble of Partial Point Clouds for Robust Classification Meir Yossef Levi, Guy Gilboa Paper ID:10925 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | Leveraging Intrinsic Properties for Non-Rigid Garment Alignment Siyou Lin, Boyao Zhou, Zerong Zheng, Hongwen Zhang, Yebin Liu Paper ID:4349 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | Spatially and Spectrally Consistent Deep Functional Maps Mingze Sun, Shiwei Mao, Puhua Jiang, Maks Ovsjanikov, Ruqi Huang Paper ID:5250 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | SVDFormer: Complementing Point Cloud via Self-view Augmentation and Self-structure Dual-generator Zhe Zhu, Honghua Chen, Xing He, Weiming Wang, Jing Qin, Mingqiang Wei Paper ID:10829 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | Batch-based Model Registration for Fast 3D Sherd Reconstruction Jiepeng Wang, Congyi Zhang, Peng Wang, Xin Li, Peter J. Cobb, Christian Theobalt, Wenping Wang Paper ID:10324 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning Siming Yan, Zhenpei Yang, Haoxiang Li, Chen Song, Li Guan, Hao Kang, Gang Hua, Qixing Huang Paper ID:10281 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | E3Sym: Leveraging E(3) Invariance for Unsupervised 3D Planar Reflective Symmetry Detection Ren-Wu Li, Ling-Xiao Zhang, Chunpeng Li, Yu-Kun Lai, Lin Gao Paper ID:5423 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | Semantify: Simplifying the Control of 3D Morphable Models Using CLIP Omer Gralnik, Guy Gafni, Ariel Shamir Paper ID:4692 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | VoroMesh: Learning Watertight Surface Meshes with Voronoi Diagrams Nissim Maruani, Roman Klokov, Maks Ovsjanikov, Pierre Alliez, Mathieu Desbrun Paper ID:10980 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | DG3D: Generating High Quality 3D Textured Shapes by Learning to Discriminate Multi-Modal Diffusion-Renderings Qi Zuo, Yafei Song, Jianfang Li, Lin Liu, Liefeng Bo Paper ID:5625 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion using Transformers Abril Corona-Figueroa, Sam Bond-Taylor, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon, Hubert P. H. Shum, Chris G. Willcocks Paper ID:12001 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | Hyperbolic Chamfer Distance for Point Cloud Completion Fangzhou Lin, Yun Yue, Songlin Hou, Xuechu Yu, Yajun Xu, Kazunori D Yamada, Ziming Zhang Paper ID:11324 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | SKED: Sketch-guided Text-based 3D Editing Aryan Mikaeili, Or Perel, Mehdi Safaee, Daniel Cohen-Or, Ali Mahdavi-Amiri Paper ID:1206 |
| Thursday 5th 02:30 PM-04:30 PM | 3D Shape modeling and processing | Adaptive Spiral Layers for Efficient 3D Representation Learning on Meshes Francesca Babiloni, Matteo Maggioni, Thomas Tanay, Jiankang Deng, Ales Leonardis, Stefanos Zafeiriou Paper ID:5188 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | EMDB: The Electromagnetic Database of Global 3D Human Pose and Shape in the Wild Manuel Kaufmann, Jie Song, Chen Guo, Kaiyue Shen, Tianjian Jiang, Chengcheng Tang, Juan José Zárate, Otmar Hilliges Paper ID:2785 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | ReFit: Recurrent Fitting Network for 3D Human Recovery Yufu Wang, Kostas Daniilidis Paper ID:9317 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | Global Adaptation Meets Local Generalization: Unsupervised Domain Adaptation for 3D Human Pose Estimation Wenhao Chai, Zhongyu Jiang, Jenq-Neng Hwang, Gaoang Wang Paper ID:8973 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | Spectral Graphormer: Spectral Graph-Based Transformer for Egocentric Two-Hand Reconstruction using Multi-View Color Images Tze Ho Elden Tse, Franziska Mueller, Zhengyang Shen, Danhang Tang, Thabo Beeler, Mingsong Dou, Yinda Zhang, Sasa Petrovic, Hyung Jin Chang, Jonathan Taylor, Bardia Doosti Paper ID:9002 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | Realistic Full-Body Tracking from Sparse Observations via Joint-Level Modeling Xiaozheng Zheng, Zhuo Su, Chao Wen, Zhou Xue, Xiaojie Jin Paper ID:2955 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | Rethinking Pose Estimation in Crowds: Overcoming the Detection Information Bottleneck and Ambiguity Mu Zhou, Lucas Stoffl, Mackenzie Weygandt Mathis, Alexander Mathis Paper ID:12755 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | HDG-ODE: A Hierarchical Continuous-Time Model for Human Pose Forecasting Yucheng Xing, Xin Wang Paper ID:6358 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | AffordPose: A Large-Scale Dataset of Hand-Object Interactions with Affordance-Driven Hand Pose Juntao Jian, Xiuping Liu, Manyi Li, Ruizhen Hu, Jian Liu Paper ID:7256 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | PhaseMP: Robust 3D Pose Estimation via Phase-conditioned Human Motion Prior Mingyi Shi, Sebastian Starke, Yuting Ye, Taku Komura, Jungdam Won Paper ID:4559 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | Synthesizing Diverse Human Motions in 3D Indoor Scenes Kaifeng Zhao, Yan Zhang, Shaofei Wang, Thabo Beeler, Siyu Tang Paper ID:7063 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | TEMPO: Efficient Multi-View Pose Estimation, Tracking, and Forecasting Rohan Choudhury, Kris M. Kitani, László A. Jeni Paper ID:6415 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation Wenkang Shan, Zhenhua Liu, Xinfeng Zhang, Zhao Wang, Kai Han, Shanshe Wang, Siwei Ma, Wen Gao Paper ID:3887 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | Towards Robust and Smooth 3D Multi-Person Pose Estimation from Monocular Videos in the Wild Sungchan Park, Eunyi You, Inhoe Lee, Joonseok Lee Paper ID:6485 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | Humans in 4D: Reconstructing and Tracking Humans with Transformers Shubham Goel, Georgios Pavlakos, Jathushan Rajasegaran, Angjoo Kanazawa, Jitendra Malik Paper ID:4482 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | NPC: Neural Point Characters from Video Shih-Yang Su, Timur Bagautdinov, Helge Rhodin Paper ID:4042 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | Priority-Centric Human Motion Generation in Discrete Latent Space Hanyang Kong, Kehong Gong, Dongze Lian, Michael Bi Mi, Xinchao Wang Paper ID:4089 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | NCHO: Unsupervised Learning for Neural 3D Composition of Humans and Objects Taeksoo Kim, Shunsuke Saito, Hanbyul Joo Paper ID:6762 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh Reconstruction Hyeongjin Nam, Daniel Sungho Jung, Yeonguk Oh, Kyoung Mu Lee Paper ID:6754 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | MHEntropy: Entropy Meets Multiple Hypotheses for Pose and Shape Recovery Rongyu Chen, Linlin Yang, Angela Yao Paper ID:4664 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | Probabilistic Triangulation for Uncalibrated Multi-View 3D Human Pose Estimation Boyuan Jiang, Lei Hu, Shihong Xia Paper ID:9754 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | DiffPose: SpatioTemporal Diffusion Model for Video-Based Human Pose Estimation Runyang Feng, Yixing Gao, Tze Ho Elden Tse, Xueqing Ma, Hyung Jin Chang Paper ID:4410 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | Reconstructing Groups of People with Hypergraph Relational Reasoning Buzhen Huang, Jingyi Ju, Zhihao Li, Yangang Wang Paper ID:5733 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | MixSynthFormer: A Transformer Encoder-like Structure with Mixed Synthetic Self-attention for Efficient Human Pose Estimation Yuran Sun, Alan William Dougherty, Zhuoying Zhang, Yi King Choi, Chuan Wu Paper ID:11007 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | Dynamic Hyperbolic Attention Network for Fine Hand-object Reconstruction Zhiying Leng, Shun-Cheng Wu, Mahdi Saleh, Antonio Montanaro, Hao Yu, Yin Wang, Nassir Navab, Xiaohui Liang, Federico Tombari Paper ID:1853 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | Human from Blur: Human Pose Tracking from Blurry Images Yiming Zhao, Denys Rozumnyi, Jie Song, Otmar Hilliges, Marc Pollefeys, Martin R. Oswald Paper ID:1861 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | AG3D: Learning to Generate 3D Avatars from 2D Image Collections Zijian Dong, Xu Chen, Jinlong Yang, Michael J. Black, Otmar Hilliges, Andreas Geiger Paper ID:1868 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion Sirui Xu, Zhengyuan Li, Yu-Xiong Wang, Liang-Yan Gui Paper ID:9615 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | SEFD: Learning to Distill Complex Pose and Occlusion ChangHee Yang, Kyeongbo Kong, SungJun Min, Dongyoon Wee, Ho-Deok Jang, Geonho Cha, SukJu Kang Paper ID:11451 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | 3D Human Mesh Recovery with Sequentially Global Rotation Estimation Dongkai Wang, Shiliang Zhang Paper ID:5425 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | Co-Evolution of Pose and Mesh for 3D Human Body Estimation from Video Yingxuan You, Hong Liu, Ti Wang, Wenhao Li, Runwei Ding, Xia Li Paper ID:1314 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | PHRIT: Parametric Hand Representation with Implicit Template Zhisheng Huang, Yujin Chen, Di Kang, Jinlu Zhang, Zhigang Tu Paper ID:2105 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | HopFIR: Hop-wise GraphFormer with Intragroup Joint Refinement for 3D Human Pose Estimation Kai Zhai, Qiang Nie, Bo Ouyang, Xiang Li, Shanlin Yang Paper ID:11913 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | Prior-guided Source-free Domain Adaptation for Human Pose Estimation Dripta S. Raychaudhuri, Calvin-Khang Ta, Arindam Dutta, Rohit Lal, Amit K. Roy-Chowdhury Paper ID:5363 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | Cloth2Body: Generating 3D Human Body Mesh from 2D Clothing Lu Dai, Liqian Ma, Shenhan Qian, Hao Liu, Ziwei Liu, Hui Xiong Paper ID:10105 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | PoseFix: Correcting 3D Human Poses with Natural Language Ginger Delmas, Philippe Weinzaepfel, Francesc Moreno-Noguer, Grégory Rogez Paper ID:10123 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | Group Pose: A Simple Baseline for End-to-End Multi-Person Pose Estimation Huan Liu, Qiang Chen, Zichang Tan, Jiang-Jiang Liu, Jian Wang, Xiangbo Su, Xiaolong Li, Kun Yao, Junyu Han, Errui Ding, Yao Zhao, Jingdong Wang Paper ID:2506 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | Make-An-Animation: Large-Scale Text-conditional 3D Human Motion Generation Samaneh Azadi, Akbar Shah, Thomas Hayes, Devi Parikh, Sonal Gupta Paper ID:12686 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | NSF: Neural Surface Fields for Human Modeling from Monocular Depth Yuxuan Xue, Bharat Lal Bhatnagar, Riccardo Marin, Nikolaos Sarafianos, Yuanlu Xu, Gerard Pons-Moll, Tony Tung Paper ID:1052 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | Hierarchical Generation of Human-Object Interactions with Diffusion Probabilistic Models Huaijin Pi, Sida Peng, Minghui Yang, Xiaowei Zhou, Hujun Bao Paper ID:5114 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | Dynamic Mesh Recovery from Partial Point Cloud Sequence Hojun Jang, Minkwan Kim, Jinseok Bae, Young Min Kim Paper ID:5818 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | MotionBERT: A Unified Perspective on Learning Human Motion Representations Wentao Zhu, Xiaoxuan Ma, Zhaoyang Liu, Libin Liu, Wayne Wu, Yizhou Wang Paper ID:5127 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | Novel-View Synthesis and Pose Estimation for Hand-Object Interaction from Sparse Views Wentian Qu, Zhaopeng Cui, Yinda Zhang, Chenyu Meng, Cuixia Ma, Xiaoming Deng, Hongan Wang Paper ID:5474 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision Shujie Zhang, Tianyue Zheng, Zhe Chen, Jingzhi Hu, Abdelwahed Khamis, Jiajun Liu, Jun Luo Paper ID:9910 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | Neural Interactive Keypoint Detection Jie Yang, Ailing Zeng, Feng Li, Shilong Liu, Ruimao Zhang, Lei Zhang Paper ID:2268 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | Plausible Uncertainties for Human Pose Regression Lennart Bramlage, Michelle Karg, Cristóbal Curio Paper ID:12289 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer Zhiyang Dou, Qingxuan Wu, Cheng Lin, Zeyu Cao, Qiangqiang Wu, Weilin Wan, Taku Komura, Wenping Wang Paper ID:1214 |
| Thursday 5th 02:30 PM-04:30 PM | Human pose/shape estimation | Weakly-supervised 3D Pose Transfer with Keypoints Jinnan Chen, Chen Li, Gim Hee Lee Paper ID:5731 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | SATR: Zero-Shot Semantic Segmentation of 3D Shapes Ahmed Abdelreheem, Ivan Skorokhodov, Maks Ovsjanikov, Peter Wonka Paper ID:1093 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | CiT: Curation in Training for Effective Vision-Language Data Hu Xu, Saining Xie, Po-Yao Huang, Licheng Yu, Russell Howes, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer Paper ID:1029 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | Self-regulating Prompts: Foundational Model Adaptation without Forgetting Muhammad Uzair Khattak, Syed Talal Wasim, Muzammal Naseer, Salman Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan Paper ID:12425 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | Learning to Ground Instructional Articles in Videos through Narrations Effrosyni Mavroudi, Triantafyllos Afouras, Lorenzo Torresani Paper ID:1057 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | RefEgo: Referring Expression Comprehension Dataset from First-Person Perception of Ego4D Shuhei Kurita, Naoki Katsura, Eri Onami Paper ID:12256 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | Multi3DRefer: Grounding Text Description to Multiple 3D Objects Yiming Zhang, ZeMing Gong, Angel X. Chang Paper ID:12551 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | Bayesian Prompt Learning for Image-Language Model Generalization Mohammad Mahdi Derakhshani, Enrique Sanchez, Adrian Bulat, Victor G. Turrisi da Costa, Cees G.M. Snoek, Georgios Tzimiropoulos, Brais Martinez Paper ID:11145 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | Who Are You Referring To? Coreference Resolution In Image Narrations Arushi Goel, Basura Fernando, Frank Keller, Hakan Bilen Paper ID:1725 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | Guiding Image Captioning Models Toward More Specific Captions Simon Kornblith, Lala Li, Zirui Wang, Thao Nguyen Paper ID:11082 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | PreSTU: Pre-Training for Scene-Text Understanding Jihyung Kil, Soravit Changpinyo, Xi Chen, Hexiang Hu, Sebastian Goodman, Wei-Lun Chao, Radu Soricut Paper ID:11076 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | Exploring Group Video Captioning with Efficient Relational Approximation Wang Lin, Tao Jin, Ye Wang, Wenwen Pan, Linjun Li, Xize Cheng, Zhou Zhao Paper ID:11025 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | VLSlice: Interactive Vision-and-Language Slice Discovery Eric Slyman, Minsuk Kahng, Stefan Lee Paper ID:11423 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | Pretrained Language Models as Visual Planners for Human Assistance Dhruvesh Patel, Hamid Eghbalzadeh, Nitin Kamra, Michael Louis Iuzzolino, Unnat Jain, Ruta Desai Paper ID:1937 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | VQA Therapy: Exploring Answer Differences by Visually Grounding Answers Chongyan Chen, Samreen Anjum, Danna Gurari Paper ID:11568 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images Cuican Yu, Guansong Lu, Yihan Zeng, Jian Sun, Xiaodan Liang, Huibin Li, Zongben Xu, Songcen Xu, Wei Zhang, Hang Xu Paper ID:10888 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | Zero-Shot Composed Image Retrieval with Textual Inversion Alberto Baldrati, Lorenzo Agnolucci, Marco Bertini, Alberto Del Bimbo Paper ID:11584 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification Miaoge Li, Dongsheng Wang, Xinyang Liu, Zequn Zeng, Ruiying Lu, Bo Chen, Mingyuan Zhou Paper ID:11734 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | Lip Reading for Low-resource Languages by Learning and Combining General Speech Knowledge and Language-specific Knowledge Minsu Kim, Jeong Hun Yeo, Jeongsoo Choi, Yong Man Ro Paper ID:1536 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | ViewRefer: Grasp the Multi-view Knowledge for 3D Visual Grounding Zoey Guo, Yiwen Tang, Ray Zhang, Dong Wang, Zhigang Wang, Bin Zhao, Xuelong Li Paper ID:1521 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | AerialVLN: Vision-and-Language Navigation for UAVs Shubo Liu, Hongsheng Zhang, Yuankai Qi, Peng Wang, Yanning Zhang, Qi Wu Paper ID:1991 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | Linear Spaces of Meanings: Compositional Structures in Vision-Language Models Matthew Trager, Pramuditha Perera, Luca Zancato, Alessandro Achille, Parminder Bhatia, Stefano Soatto Paper ID:12198 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training Qinghao Ye, Guohai Xu, Ming Yan, Haiyang Xu, Qi Qian, Ji Zhang, Fei Huang Paper ID:1405 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | EgoTV: Egocentric Task Verification from Natural Language Task Descriptions Rishi Hazra, Brian Chen, Akshara Rai, Nitin Kamra, Ruta Desai Paper ID:1945 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | SINC: Self-Supervised In-Context Learning for Vision-Language Tasks Yi-Syuan Chen, Yun-Zhu Song, Cheng Yu Yeo, Bei Liu, Jianlong Fu, Hong-Han Shuai Paper ID:1793 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | VLN-PETL: Parameter-Efficient Transfer Learning for Vision-and-Language Navigation Yanyuan Qiao, Zheng Yu, Qi Wu Paper ID:5388 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | Going Denser with Open-Vocabulary Part Segmentation Peize Sun, Shoufa Chen, Chenchen Zhu, Fanyi Xiao, Ping Luo, Saining Xie, Zhicheng Yan Paper ID:3413 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | Temporal Collection and Distribution for Referring Video Object Segmentation Jiajin Tang, Ge Zheng, Sibei Yang Paper ID:3401 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | Inverse Compositional Learning for Weakly-supervised Relation Grounding Huan Li, Ping Wei, Zeyu Ma, Nanning Zheng Paper ID:3309 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels? Cheng-En Wu, Yu Tian, Haichao Yu, Heng Wang, Pedro Morgado, Yu Hen Hu, Linjie Yang Paper ID:5737 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | CHAMPAGNE: Learning Real-world Conversation from Large-Scale Web Videos Seungju Han, Jack Hessel, Nouha Dziri, Yejin Choi, Youngjae Yu Paper ID:5772 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | RCA-NOC: Relative Contrastive Alignment for Novel Object Captioning Jiashuo Fan, Yaoyuan Liang, Leyao Liu, Shaolun Huang, Lei Zhang Paper ID:5814 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | DIME-FM : DIstilling Multimodal and Efficient Foundation Models Ximeng Sun, Pengchuan Zhang, Peizhao Zhang, Hardik Shah, Kate Saenko, Xide Xia Paper ID:3628 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | Black Box Few-Shot Adaptation for Vision-Language Models Yassine Ouali, Adrian Bulat, Brais Matinez, Georgios Tzimiropoulos Paper ID:5321 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | Shatter and Gather: Learning Referring Image Segmentation with Text Supervision Dongwon Kim, Namyup Kim, Cuiling Lan, Suha Kwak Paper ID:3753 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | Accurate and Fast Compressed Video Captioning Yaojie Shen, Xin Gu, Kai Xu, Heng Fan, Longyin Wen, Libo Zhang Paper ID:4310 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | Exploring Temporal Concurrency for Video-Language Representation Learning Heng Zhang, Daqing Liu, Zezhong Lv, Bing Su, Dacheng Tao Paper ID:4411 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | Verbs in Action: Improving Verb Understanding in Video-Language Models Liliane Momeni, Mathilde Caron, Arsha Nagrani, Andrew Zisserman, Cordelia Schmid Paper ID:4413 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | Sign Language Translation with Iterative Prototype Huijie Yao, Wengang Zhou, Hao Feng, Hezhen Hu, Hao Zhou, Houqiang Li Paper ID:4560 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | Contrastive Feature Masking Open-Vocabulary Vision Transformer Dahun Kim, Anelia Angelova, Weicheng Kuo Paper ID:4587 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | Toward Unsupervised Realistic Visual Question Answering Yuwei Zhang, Chih-Hui Ho, Nuno Vasconcelos Paper ID:4712 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | GridMM: Grid Memory Map for Vision-and-Language Navigation Zihan Wang, Xiangyang Li, Jiahao Yang, Yeqi Liu, Shuqiang Jiang Paper ID:4779 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | Video Background Music Generation: Dataset, Method and Evaluation Le Zhuo, Zhaokai Wang, Baisen Wang, Yue Liao, Chenxi Bao, Stanley Peng, Songhao Han, Aixi Zhang, Fei Fang, Si Liu Paper ID:4968 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | Prompt Switch: Efficient CLIP Adaptation for Text-Video Retrieval Chaorui Deng, Qi Chen, Pengda Qin, Da Chen, Qi Wu Paper ID:3838 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | Prompt-aligned Gradient for Prompt Tuning Beier Zhu, Yulei Niu, Yucheng Han, Yue Wu, Hanwang Zhang Paper ID:9778 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models Baoshuo Kan, Teng Wang, Wenpeng Lu, Xiantong Zhen, Weili Guan, Feng Zheng Paper ID:7480 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | Order-Prompted Tag Sequence Generation for Video Tagging Zongyang Ma, Ziqi Zhang, Yuxin Chen, Zhongang Qi, Yingmin Luo, Zekun Li, Chunfeng Yuan, Bing Li, Xiaohu Qie, Ying Shan, Weiming Hu Paper ID:8708 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | What Does a Platypus Look Like? Generating Customized Prompts for Zero-Shot Image Classification Sarah Pratt, Ian Covert, Rosanne Liu, Ali Farhadi Paper ID:8748 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization Junhyeong Cho, Gilhyun Nam, Sungyeon Kim, Hunmin Yang, Suha Kwak Paper ID:2421 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability Runhui Huang, Jianhua Han, Guansong Lu, Xiaodan Liang, Yihan Zeng, Wei Zhang, Hang Xu Paper ID:9684 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | EdaDet: Open-Vocabulary Object Detection Using Early Dense Alignment Cheng Shi, Sibei Yang Paper ID:2613 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | MixSpeech: Cross-Modality Self-Learning with Audio-Visual Stream Mixup for Visual Speech Translation and Recognition Xize Cheng, Tao Jin, Rongjie Huang, Linjun Li, Wang Lin, Zehan Wang, Ye Wang, Huadai Liu, Aoxiong Yin, Zhou Zhao Paper ID:2622 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | Waffling Around for Performance: Visual Classification with Random Words and Broad Concepts Karsten Roth, Jae Myung Kim, A. Sophia Koepke, Oriol Vinyals, Cordelia Schmid, Zeynep Akata Paper ID:2713 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language 2 | March in Chat: Interactive Prompting for Remote Embodied Referring Expression Yanyuan Qiao, Yuankai Qi, Zheng Yu, Jing Liu, Qi Wu Paper ID:3151 |
| Thursday 5th 02:30 PM-04:30 PM | Transfer, low-shot, and continual learning | Frequency Guidance Matters in Few-Shot Learning Hao Cheng, Siyuan Yang, Joey Tianyi Zhou, Lanqing Guo, Bihan Wen Paper ID:3688 |
| Thursday 5th 02:30 PM-04:30 PM | Transfer, low-shot, and continual learning | Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning Haoyu He, Jianfei Cai, Jing Zhang, Dacheng Tao, Bohan Zhuang Paper ID:2240 |
| Thursday 5th 02:30 PM-04:30 PM | Transfer, low-shot, and continual learning | On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion Yushu Li, Xun Xu, Yongyi Su, Kui Jia Paper ID:4446 |
| Thursday 5th 02:30 PM-04:30 PM | Transfer, low-shot, and continual learning | Generating Instance-level Prompts for Rehearsal-free Continual Learning Dahuin Jung, Dongyoon Han, Jihwan Bang, Hwanjun Song Paper ID:5966 |
| Thursday 5th 02:30 PM-04:30 PM | Transfer, low-shot, and continual learning | Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One Classifier Zelin Zang, Lei Shang, Senqiao Yang, Fei Wang, Baigui Sun, Xuansong Xie, Stan Z. Li Paper ID:3912 |
| Thursday 5th 02:30 PM-04:30 PM | Transfer, low-shot, and continual learning | A Soft Nearest-Neighbor Framework for Continual Semi-Supervised Learning Zhiqi Kang, Enrico Fini, Moin Nabi, Elisa Ricci, Karteek Alahari Paper ID:3960 |
| Thursday 5th 02:30 PM-04:30 PM | Transfer, low-shot, and continual learning | GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation Jiewen Yang, Xinpeng Ding, Ziyang Zheng, Xiaowei Xu, Xiaomeng Li Paper ID:2623 |
| Thursday 5th 02:30 PM-04:30 PM | Transfer, low-shot, and continual learning | ViperGPT: Visual Inference via Python Execution for Reasoning Dídac Surís, Sachit Menon, Carl Vondrick Paper ID:11390 |
| Thursday 5th 02:30 PM-04:30 PM | Transfer, low-shot, and continual learning | Improved Visual Fine-tuning with Natural Language Supervision Junyang Wang, Yuanhong Xu, Juhua Hu, Ming Yan, Jitao Sang, Qi Qian Paper ID:10523 |
| Thursday 5th 02:30 PM-04:30 PM | Transfer, low-shot, and continual learning | Preparing the Future for Continual Semantic Segmentation Zihan Lin, Zilei Wang, Yixin Zhang Paper ID:4800 |
| Thursday 5th 02:30 PM-04:30 PM | Transfer, low-shot, and continual learning | MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters Min Zhang, Junkun Yuan, Yue He, Wenbin Li, Zhengyu Chen, Kun Kuang Paper ID:10439 |
| Thursday 5th 02:30 PM-04:30 PM | Transfer, low-shot, and continual learning | Space-time Prompting for Video Class-incremental Learning Yixuan Pei, Zhiwu Qing, Shiwei Zhang, Xiang Wang, Yingya Zhang, Deli Zhao, Xueming Qian Paper ID:3536 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language | Chinese Text Recognition with A Pre-Trained CLIP-Like Model Through Image-IDS Aligning Haiyang Yu, Xiaocong Wang, Bin Li, Xiangyang Xue Paper ID:3709 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language | OmniLabel: A Challenging Benchmark for Language-Based Object Detection Samuel Schulter, Vijay Kumar B G, Yumin Suh, Konstantinos M. Dafnis, Zhixing Zhang, Shiyu Zhao, Dimitris Metaxas Paper ID:7127 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language | IntentQA: Context-aware Video Intent Reasoning Jiapeng Li, Ping Wei, Wenjuan Han, Lifeng Fan Paper ID:3185 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language | Sigmoid Loss for Language Image Pre-Training Xiaohua Zhai, Basil Mustafa, Alexander Kolesnikov, Lucas Beyer Paper ID:12388 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language | What does CLIP know about a red circle? Visual prompt engineering for VLMs Aleksandar Shtedritski, Christian Rupprecht, Andrea Vedaldi Paper ID:10759 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language | Equivariant Similarity for Vision-Language Foundation Models Tan Wang, Kevin Lin, Linjie Li, Chung-Ching Lin, Zhengyuan Yang, Hanwang Zhang, Zicheng Liu, Lijuan Wang Paper ID:3736 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language | Scaling Data Generation in Vision-and-Language Navigation Zun Wang, Jialu Li, Yicong Hong, Yi Wang, Qi Wu, Mohit Bansal, Stephen Gould, Hao Tan, Yu Qiao Paper ID:4534 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language | Name Your Colour For the Task: Artificially Discover Colour Naming via Colour Quantisation Transformer Shenghan Su, Lin Gu, Yue Yang, Zenghui Zhang, Tatsuya Harada Paper ID:9201 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language | G2L: Semantically Aligned and Uniform Video Grounding via Geodesic and Game Theory Hongxiang Li, Meng Cao, Xuxin Cheng, Yaowei Li, Zhihong Zhu, Yuexian Zou Paper ID:1601 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language | Grounded Entity-Landmark Adaptive Pre-Training for Vision-and-Language Navigation Yibo Cui, Liang Xie, Yakun Zhang, Meishan Zhang, Ye Yan, Erwei Yin Paper ID:6312 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language | Audio-Enhanced Text-to-Video Retrieval using Text-Conditioned Feature Alignment Sarah Ibrahimi, Xiaohang Sun, Pichao Wang, Amanmeet Garg, Ashutosh Sanan, Mohamed Omar Paper ID:1061 |
| Thursday 5th 02:30 PM-04:30 PM | Vision and language | Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities Hexiang Hu, Yi Luan, Yang Chen, Urvashi Khandelwal, Mandar Joshi, Kenton Lee, Kristina Toutanova, Ming-Wei Chang Paper ID:3031 |
Thursday 5th 04:30 PM-06:00 PM - Orals
| Date & Time | Session | Paper Title Author·s Name·s |
| Thursday 5th 04:30 PM-06:00 PM | Transfer, low-shot, and continual learning | Frequency Guidance Matters in Few-Shot Learning Hao Cheng, Siyuan Yang, Joey Tianyi Zhou, Lanqing Guo, Bihan Wen Paper ID:3688 |
| Thursday 5th 04:30 PM-06:00 PM | Transfer, low-shot, and continual learning | Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning Haoyu He, Jianfei Cai, Jing Zhang, Dacheng Tao, Bohan Zhuang Paper ID:2240 |
| Thursday 5th 04:30 PM-06:00 PM | Transfer, low-shot, and continual learning | On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion Yushu Li, Xun Xu, Yongyi Su, Kui Jia Paper ID:4446 |
| Thursday 5th 04:30 PM-06:00 PM | Transfer, low-shot, and continual learning | Generating Instance-level Prompts for Rehearsal-free Continual Learning Dahuin Jung, Dongyoon Han, Jihwan Bang, Hwanjun Song Paper ID:5966 |
| Thursday 5th 04:30 PM-06:00 PM | Transfer, low-shot, and continual learning | Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One Classifier Zelin Zang, Lei Shang, Senqiao Yang, Fei Wang, Baigui Sun, Xuansong Xie, Stan Z. Li Paper ID:3912 |
| Thursday 5th 04:30 PM-06:00 PM | Transfer, low-shot, and continual learning | A Soft Nearest-Neighbor Framework for Continual Semi-Supervised Learning Zhiqi Kang, Enrico Fini, Moin Nabi, Elisa Ricci, Karteek Alahari Paper ID:3960 |
| Thursday 5th 04:30 PM-06:00 PM | Transfer, low-shot, and continual learning | GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation Jiewen Yang, Xinpeng Ding, Ziyang Zheng, Xiaowei Xu, Xiaomeng Li Paper ID:2623 |
| Thursday 5th 04:30 PM-06:00 PM | Transfer, low-shot, and continual learning | ViperGPT: Visual Inference via Python Execution for Reasoning Dídac Surís, Sachit Menon, Carl Vondrick Paper ID:11390 |
| Thursday 5th 04:30 PM-06:00 PM | Transfer, low-shot, and continual learning | Improved Visual Fine-tuning with Natural Language Supervision Junyang Wang, Yuanhong Xu, Juhua Hu, Ming Yan, Jitao Sang, Qi Qian Paper ID:10523 |
| Thursday 5th 04:30 PM-06:00 PM | Transfer, low-shot, and continual learning | Preparing the Future for Continual Semantic Segmentation Zihan Lin, Zilei Wang, Yixin Zhang Paper ID:4800 |
| Thursday 5th 04:30 PM-06:00 PM | Transfer, low-shot, and continual learning | MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters Min Zhang, Junkun Yuan, Yue He, Wenbin Li, Zhengyu Chen, Kun Kuang Paper ID:10439 |
| Thursday 5th 04:30 PM-06:00 PM | Transfer, low-shot, and continual learning | Space-time Prompting for Video Class-incremental Learning Yixuan Pei, Zhiwu Qing, Shiwei Zhang, Xiang Wang, Yingya Zhang, Deli Zhao, Xueming Qian Paper ID:3536 |
| Thursday 5th 04:30 PM-06:00 PM | Vision and language | Chinese Text Recognition with A Pre-Trained CLIP-Like Model Through Image-IDS Aligning Haiyang Yu, Xiaocong Wang, Bin Li, Xiangyang Xue Paper ID:3709 |
| Thursday 5th 04:30 PM-06:00 PM | Vision and language | OmniLabel: A Challenging Benchmark for Language-Based Object Detection Samuel Schulter, Vijay Kumar B G, Yumin Suh, Konstantinos M. Dafnis, Zhixing Zhang, Shiyu Zhao, Dimitris Metaxas Paper ID:7127 |
| Thursday 5th 04:30 PM-06:00 PM | Vision and language | IntentQA: Context-aware Video Intent Reasoning Jiapeng Li, Ping Wei, Wenjuan Han, Lifeng Fan Paper ID:3185 |
| Thursday 5th 04:30 PM-06:00 PM | Vision and language | Sigmoid Loss for Language Image Pre-Training Xiaohua Zhai, Basil Mustafa, Alexander Kolesnikov, Lucas Beyer Paper ID:12388 |
| Thursday 5th 04:30 PM-06:00 PM | Vision and language | What does CLIP know about a red circle? Visual prompt engineering for VLMs Aleksandar Shtedritski, Christian Rupprecht, Andrea Vedaldi Paper ID:10759 |
| Thursday 5th 04:30 PM-06:00 PM | Vision and language | Equivariant Similarity for Vision-Language Foundation Models Tan Wang, Kevin Lin, Linjie Li, Chung-Ching Lin, Zhengyuan Yang, Hanwang Zhang, Zicheng Liu, Lijuan Wang Paper ID:3736 |
| Thursday 5th 04:30 PM-06:00 PM | Vision and language | Scaling Data Generation in Vision-and-Language Navigation Zun Wang, Jialu Li, Yicong Hong, Yi Wang, Qi Wu, Mohit Bansal, Stephen Gould, Hao Tan, Yu Qiao Paper ID:4534 |
| Thursday 5th 04:30 PM-06:00 PM | Vision and language | Name Your Colour For the Task: Artificially Discover Colour Naming via Colour Quantisation Transformer Shenghan Su, Lin Gu, Yue Yang, Zenghui Zhang, Tatsuya Harada Paper ID:9201 |
| Thursday 5th 04:30 PM-06:00 PM | Vision and language | G2L: Semantically Aligned and Uniform Video Grounding via Geodesic and Game Theory Hongxiang Li, Meng Cao, Xuxin Cheng, Yaowei Li, Zhihong Zhu, Yuexian Zou Paper ID:1601 |
| Thursday 5th 04:30 PM-06:00 PM | Vision and language | Grounded Entity-Landmark Adaptive Pre-Training for Vision-and-Language Navigation Yibo Cui, Liang Xie, Yakun Zhang, Meishan Zhang, Ye Yan, Erwei Yin Paper ID:6312 |
| Thursday 5th 04:30 PM-06:00 PM | Vision and language | Audio-Enhanced Text-to-Video Retrieval using Text-Conditioned Feature Alignment Sarah Ibrahimi, Xiaohang Sun, Pichao Wang, Amanmeet Garg, Ashutosh Sanan, Mohamed Omar Paper ID:1061 |
| Thursday 5th 04:30 PM-06:00 PM | Vision and language | Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities Hexiang Hu, Yi Luan, Yang Chen, Urvashi Khandelwal, Mandar Joshi, Kenton Lee, Kristina Toutanova, Ming-Wei Chang Paper ID:3031 |
Friday 6th 09:00 AM-10:30 AM - Orals
| Date & Time | Session | Paper Title Author·s Name·s |
| Friday 6th 09:00 AM-10:30 AM | Self-, semi-, and unsupervised learning | Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV Jaime Spencer, Chris Russell, Simon Hadfield, Richard Bowden Paper ID:8981 |
| Friday 6th 09:00 AM-10:30 AM | Self-, semi-, and unsupervised learning | Novel Scenes & Classes: Towards Adaptive Open-set Object Detection Wuyang Li, Xiaoqing Guo, Yixuan Yuan Paper ID:3348 |
| Friday 6th 09:00 AM-10:30 AM | Self-, semi-, and unsupervised learning | Improving Unsupervised Visual Program Inference with Code Rewriting Families Aditya Ganeshan, R. Kenny Jones, Daniel Ritchie Paper ID:3261 |
| Friday 6th 09:00 AM-10:30 AM | Self-, semi-, and unsupervised learning | Denoising Diffusion Autoencoders are Unified Self-supervised Learners Weilai Xiang, Hongyu Yang, Di Huang, Yunhong Wang Paper ID:2247 |
| Friday 6th 09:00 AM-10:30 AM | Self-, semi-, and unsupervised learning | Self-Ordering Point Clouds Pengwan Yang, Cees G. M. Snoek, Yuki M. Asano Paper ID:7483 |
| Friday 6th 09:00 AM-10:30 AM | Self-, semi-, and unsupervised learning | MOST: Multiple Object Localization with Self-Supervised Transformers for Object Discovery Sai Saketh Rambhatla, Ishan Misra, Rama Chellappa, Abhinav Shrivastava Paper ID:9594 |
| Friday 6th 09:00 AM-10:30 AM | Self-, semi-, and unsupervised learning | CHORUS : Learning Canonicalized 3D Human-Object Spatial Relations from Unbounded Synthesized Images Sookwan Han, Hanbyul Joo Paper ID:6785 |
| Friday 6th 09:00 AM-10:30 AM | Self-, semi-, and unsupervised learning | Identity-Seeking Self-Supervised Representation Learning for Generalizable Person Re-Identification Zhaopeng Dou, Zhongdao Wang, Yali Li, Shengjin Wang Paper ID:5628 |
| Friday 6th 09:00 AM-10:30 AM | Self-, semi-, and unsupervised learning | Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis Yankai Jiang, Mingze Sun, Heng Guo, Xiaoyu Bai, Ke Yan, Le Lu, Minfeng Xu Paper ID:9413 |
| Friday 6th 09:00 AM-10:30 AM | Self-, semi-, and unsupervised learning | IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization Zekun Li, Lei Qi, Yinghuan Shi, Yang Gao Paper ID:7376 |
| Friday 6th 09:00 AM-10:30 AM | Self-, semi-, and unsupervised learning | Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning Guan Gui, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi Paper ID:11378 |
| Friday 6th 09:00 AM-10:30 AM | Self-, semi-, and unsupervised learning | When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method Manyi Zhang, Xuyang Zhao, Jun Yao, Chun Yuan, Weiran Huang Paper ID:6191 |
| Friday 6th 09:00 AM-10:30 AM | Generative AI 2 | Cross-Ray Neural Radiance Fields for Novel-View Synthesis from Unconstrained Image Collections Yifan Yang, Shuhai Zhang, Zixiong Huang, Yubing Zhang, Mingkui Tan Paper ID:2468 |
| Friday 6th 09:00 AM-10:30 AM | Generative AI 2 | Effective Real Image Editing with Accelerated Iterative Diffusion Inversion Zhihong Pan, Riccardo Gherardi, Xiufeng Xie, Stephen Huang Paper ID:8609 |
| Friday 6th 09:00 AM-10:30 AM | Generative AI 2 | Simulating Fluids in Real-World Still Images Siming Fan, Jingtan Piao, Chen Qian, Hongsheng Li, Kwan-Yee Lin Paper ID:11051 |
| Friday 6th 09:00 AM-10:30 AM | Generative AI 2 | FateZero: Fusing Attentions for Zero-shot Text-based Video Editing Chenyang QI, Xiaodong Cun, Yong Zhang, Chenyang Lei, Xintao Wang, Ying Shan, Qifeng Chen Paper ID:5929 |
| Friday 6th 09:00 AM-10:30 AM | Generative AI 2 | ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation Yuxiang Wei, Yabo Zhang, Zhilong Ji, Jinfeng Bai, Lei Zhang, Wangmeng Zuo Paper ID:4185 |
| Friday 6th 09:00 AM-10:30 AM | Generative AI 2 | Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators Levon Khachatryan, Andranik Movsisyan, Vahram Tadevosyan, Roberto Henschel, Zhangyang Wang, Shant Navasardyan, Humphrey Shi Paper ID:11657 |
| Friday 6th 09:00 AM-10:30 AM | Generative AI 2 | Chupa: Carving 3D Clothed Humans from Skinned Shape Priors using 2D Diffusion Probabilistic Models Byungjun Kim, Patrick Kwon, Kwangho Lee, Myunggi Lee, Sookwan Han, Daesik Kim, Hanbyul Joo Paper ID:6782 |
| Friday 6th 09:00 AM-10:30 AM | Generative AI 2 | DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion Models Karl Holmquist, Bastian Wandt Paper ID:6049 |
| Friday 6th 09:00 AM-10:30 AM | Generative AI 2 | HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation Xuan Ju, Ailing Zeng, Chenchen Zhao, Jianan Wang, Lei Zhang, Qiang Xu Paper ID:2350 |
| Friday 6th 09:00 AM-10:30 AM | Generative AI 2 | Role-Aware Interaction Generation from Textual Description Mikihiro Tanaka, KentFujiwara Paper ID:4796 |
| Friday 6th 09:00 AM-10:30 AM | Generative AI 2 | PhysDiff: Physics-Guided Human Motion Diffusion Model Ye Yuan, Jiaming Song, Umar Iqbal, Arash Vahdat, Jan Kautz Paper ID:1917 |
| Friday 6th 09:00 AM-10:30 AM | Generative AI 2 | Forward Flow for Novel View Synthesis of Dynamic Scenes Xiang Guo, Jiadai Sun, Yuchao Dai, Guanying Chen, Xiaoqing Ye, Xiao Tan, Errui Ding, Yumeng Zhang, Jingdong Wang Paper ID:10050 |
Friday 6th 10:30 AM-12:30 PM - Posters
| Date & Time | Session | Paper Title Author·s Name·s |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Noise2Info: Noisy Image to Information of Noise for Self-Supervised Image Denoising Jiachuan Wang, Shimin Di, Lei Chen, Charles Wang Wai Ng Paper ID:11504 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Box-based Refinement for Weakly Supervised and Unsupervised Localization Tasks Eyal Gomel, Tal Shaharbany, Lior Wolf Paper ID:11550 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Diverse Cotraining Makes Strong Semi-Supervised Segmentor Yijiang Li, Xinjiang Wang, Lihe Yang, Litong Feng, Wayne Zhang, Ying Gao Paper ID:5199 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning Yue Fan, Anna Kukleva, Dengxin Dai, Bernt Schiele Paper ID:5179 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Late Stopping: Avoiding Confidently Learning from Mislabeled Examples Suqin Yuan, Lei Feng, Tongliang Liu Paper ID:11917 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Ponder: Point Cloud Pre-training via Neural Rendering Di Huang, Sida Peng, Tong He, Honghui Yang, Xiaowei Zhou, Wanli Ouyang Paper ID:5816 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Semantics-Consistent Feature Search for Self-Supervised Visual Representation Learning Kaiyou Song, Shan Zhang, Zimeng Luo, Tong Wang, Jin Xie Paper ID:1421 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Stable and Causal Inference for Discriminative Self-supervised Deep Visual Representations Yuewei Yang, Hai Li, Yiran Chen Paper ID:11301 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Towards Semi-supervised Learning with Non-random Missing Labels Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi Paper ID:11691 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Hallucination Improves the Performance of Unsupervised Visual Representation Learning Jing Wu, Jennifer Hobbs, Naira Hovakimyan Paper ID:2932 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Audiovisual Masked Autoencoders Mariana-Iuliana Georgescu, Eduardo Fonseca, Radu Tudor Ionescu, Mario Lucic, Cordelia Schmid, Anurag Arnab Paper ID:5166 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | PADCLIP: Pseudo-labeling with Adaptive Debiasing in CLIP for Unsupervised Domain Adaptation Zhengfeng Lai, Noranart Vesdapunt, Ning Zhou, Jun Wu, Cong Phuoc Huynh, Xuelu Li, Kah Kuen Fu, Chen-Nee Chuah Paper ID:5448 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Removing Anomalies as Noises for Industrial Defect Localization Fanbin Lu, Xufeng Yao, Chi-Wing Fu, Jiaya Jia Paper ID:1260 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | SparseMAE: Sparse Training Meets Masked Autoencoders Aojun Zhou, Yang Li, Zipeng Qin, Jianbo Liu, Junting Pan, Renrui Zhang, Rui Zhao, Peng Gao, Hongsheng Li Paper ID:1537 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning Lihe Yang, Zhen Zhao, Lei Qi, Yu Qiao, Yinghuan Shi, Hengshuang Zhao Paper ID:9001 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation Chen Liang, Wenguan Wang, Jiaxu Miao, Yi Yang Paper ID:3308 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes Chaoqiang Zhao, Matteo Poggi, Fabio Tosi, Lei Zhou, Qiyu Sun, Yang Tang, Stefano Mattoccia Paper ID:5450 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training Yao Wei, Yanchao Sun, Ruijie Zheng, Sai Vemprala, Rogerio Bonatti, Shuhang Chen, Ratnesh Madaan, Zhongjie Ba, Ashish Kapoor, Shuang Ma Paper ID:12685 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Benchmarking Low-Shot Robustness to Natural Distribution Shifts Aaditya Singh, Kartik Sarangmath, Prithvijit Chattopadhyay, Judy Hoffman Paper ID:30 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction Imanol G. Estepa, Ignacio Sarasua, Bhalaji Nagarajan, Petia Radeva Paper ID:12610 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Weakly Supervised Learning of Semantic Correspondence through Cascaded Online Correspondence Refinement Yiwen Huang, Yixuan Sun, Chenghang Lai, Qing Xu, Xiaomei Wang, Xuli Shen, Weifeng Ge Paper ID:5526 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Tracking without Label: Unsupervised Multiple Object Tracking via Contrastive Similarity Learning Sha Meng, Dian Shao, Jiacheng Guo, Shan Gao Paper ID:5493 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need Vivien Cabannes, Leon Bottou, Yann Lecun, Randall Balestriero Paper ID:12534 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Diffusion Models as Masked Autoencoders Chen Wei, Karttikeya Mangalam, Po-Yao Huang, Yanghao Li, Haoqi Fan, Hu Xu, Huiyu Wang, Cihang Xie, Alan Yuille, Christoph Feichtenhofer Paper ID:1108 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Enhanced Meta Label Correction for Coping with Label Corruption Mitchell Keren Taraday, Chaim Baskin Paper ID:9426 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning Huimin Wu, Chenyang Lei, Xiao Sun, Peng-Shuai Wang, Qifeng Chen, Kwang-Ting Cheng, Stephen Lin, Zhirong Wu Paper ID:2927 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Prototypes-oriented Transductive Few-shot Learning with Conditional Transport Long Tian, Jingyi Feng, Xiaoqiang Chai, Wenchao Chen, Liming Wang, Xiyang Liu, Bo Chen Paper ID:12384 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Contrastive Learning Relies More on Spatial Inductive Bias Than Supervised Learning: An Empirical Study Yuanyi Zhong, Haoran Tang, Jun-Kun Chen, Yu-Xiong Wang Paper ID:12268 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Pseudo-label Alignment for Semi-supervised Instance Segmentation Jie Hu, Chen Chen, Liujuan Cao, Shengchuan Zhang, Annan Shu, Guannan Jiang, Rongrong Ji Paper ID:5626 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | CFCG: Semi-Supervised Semantic Segmentation via Cross-Fusion and Contour Guidance Supervision Shuo Li, Yue He, Weiming Zhang , Wei Zhang, Xiao Tan, Junyu Han, Errui Ding, Jingdong Wang Paper ID:12176 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Pixel-Wise Contrastive Distillation Junqiang Huang, Zichao Guo Paper ID:5475 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Rethinking Safe Semi-supervised Learning: Transferring the Open-set Problem to A Close-set One Qiankun Ma, Jiyao Gao, Bo Zhan, Yunpeng Guo, Jiliu Zhou, Yan Wang Paper ID:11963 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization Jungsoo Lee, Debasmit Das, Jaegul Choo, Sungha Choi Paper ID:5912 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection Jiaming Li, Xiangru Lin, Wei Zhang, Xiao Tan, Yingying Li, Junyu Han, Errui Ding, Jingdong Wang, Guanbin Li Paper ID:5153 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection Zhihao Gu, Liang Liu, Xu Chen, Ran Yi, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Annan Shu, Guannan Jiang, Lizhuang Ma Paper ID:5962 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Semi-Supervised Learning via Weight-Aware Distillation under Class Distribution Mismatch Pan Du, Suyun Zhao, Zisen Sheng, Cuiping Li, Hong Chen Paper ID:4122 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts Sunghyun Park, Seunghan Yang, Jaegul Choo, Sungrack Yun Paper ID:6788 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | SimMatchV2: Semi-Supervised Learning with Graph Consistency Mingkai Zheng, Shan You, Lang Huang, Chen Luo, Fei Wang, Chen Qian, Chang Xu Paper ID:2124 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source Samples JoonHo Lee, Jae Oh Woo, Hankyu Moon, Kwonho Lee Paper ID:8784 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Learning by Sorting: Self-supervised Learning with Group Ordering Constraints Nina Shvetsova, Felix Petersen, Anna Kukleva, Bernt Schiele, Hilde Kuehne Paper ID:7411 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning Yasar Abbas Ur Rehman, Yan Gao, Pedro Porto Buarque de Gusmao, Mina Alibeigi, Jiajun Shen, Nicholas D. Lane Paper ID:9974 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Class-relation Knowledge Distillation for Novel Class Discovery Peiyan Gu, Chuyu Zhang, Ruijie Xu, Xuming He Paper ID:9963 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Representation Uncertainty in Self-Supervised Learning as Variational Inference Hiroki Nakamura, Masashi Okada, Tadahiro Taniguchi Paper ID:9958 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Point-TTA: Test-Time Adaptation for Point Cloud Registration Using Multitask Meta-Auxiliary Learning Ahmed Hatem, Yiming Qian, Yang Wang Paper ID:7499 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Adaptive Similarity Bootstrapping for Self-Distillation Based Representation Learning Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar, Jean-Philippe Thiran, Tinne Tuytelaars Paper ID:7566 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Point Contrastive Prediction with Semantic Clustering for Self-Supervised Learning on Point Cloud Videos Xiaoxiao Sheng, Zhiqiang Shen, Gang Xiao, Longguang Wang, Yulan Guo, Hehe Fan Paper ID:9815 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | MHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical Clustering Fangfei Lin, Bing Bai, Yiwen Guo, Hao Chen, Yazhou Ren, Zenglin Xu Paper ID:9733 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations Mohammadreza Salehi, Efstratios Gavves, Cees G.M. Snoek, Yuki M. Asano Paper ID:10202 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation Marc Botet Colomer, Pier Luigi Dovesi, Theodoros Panagiotakopoulos, Joao Frederico Carvalho, Linus Härenstam-Nielsen, Hossein Azizpour, Hedvig Kjellström, Daniel Cremers, Matteo Poggi Paper ID:8838 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Simple and Effective Out-of-Distribution Detection via Cosine-based Softmax Loss SoonCheol Noh, DongEon Jeong, Jee-Hyong Lee Paper ID:6582 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | MixBag: Bag-Level Data Augmentation for Learning from Label Proportions Takanori Asanomi, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise Paper ID:1732 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos Zhiqiang Shen, Xiaoxiao Sheng, Hehe Fan, Longguang Wang, Yulan Guo, Qiong Liu, Hao Wen, Xi Zhou Paper ID:9567 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Parametric Classification for Generalized Category Discovery: A Baseline Study Xin Wen, Bingchen Zhao, Xiaojuan Qi Paper ID:5097 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Object-Centric Multiple Object Tracking Zixu Zhao, Jiaze Wang, Max Horn, Yizhuo Ding, Tong He, Zechen Bai, Dominik Zietlow, Carl-Johann Simon-Gabriel, Bing Shuai, Zhuowen Tu, Thomas Brox, Bernt Schiele, Yanwei Fu, Francesco Locatello, Zheng Zhang, Tianjun Xiao Paper ID:5065 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Locating Noise is Halfway Denoising for Semi-Supervised Segmentation Yan Fang, Feng Zhu, Bowen Cheng, Luoqi Liu, Yao Zhao, Yunchao Wei Paper ID:10781 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery Bingchen Zhao, Xin Wen, Kai Han Paper ID:6078 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | LoCUS: Learning Multiscale 3D-consistent Features from Posed Images Dominik A. Kloepfer, Dylan Campbell, João F. Henriques Paper ID:10721 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Stable Cluster Discrimination for Deep Clustering Qi Qian Paper ID:11010 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Cross-modal Scalable Hierarchical Clustering in Hyperbolic space Teng Long, Nanne van Noord Paper ID:6097 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Collaborative Propagation on Multiple Instance Graphs for 3D Instance Segmentation with Single-point Supervision Shichao Dong, Ruibo Li, Jiacheng Wei, Fayao Liu, Guosheng Lin Paper ID:10622 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Semantics Meets Temporal Correspondence: Self-supervised Object-centric Learning in Videos Rui Qian, Shuangrui Ding, Xian Liu, Dahua Lin Paper ID:6192 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery Hyungmin Kim, Sungho Suh, Daehwan Kim, Daun Jeong, Hansang Cho, Junmo Kim Paper ID:4584 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | DreamTeacher: Pretraining Image Backbones with Deep Generative Models Daiqing Li, Huan Ling, Amlan Kar, David Acuna, Seung Wook Kim, Karsten Kreis, Antonio Torralba, Sanja Fidler Paper ID:6420 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | MATE: Masked Autoencoders are Online 3D Test-Time Learners M. Jehanzeb Mirza, Inkyu Shin, Wei Lin, Andreas Schriebl, Kunyang Sun, Jaesung Choe, Mateusz Kozinski, Horst Possegger, In So Kweon, Kuk-Jin Yoon, Horst Bischof Paper ID:1874 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels Huaxi Huang, Hui Kang, Sheng Liu, Olivier Salvado, Thierry Rakotoarivelo, Dadong Wang, Tongliang Liu Paper ID:6553 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Calibrating Uncertainty for Semi-Supervised Crowd Counting Chen LI, Xiaoling Hu, Shahira Abousamra, Chao Chen Paper ID:10412 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Test Time Adaptation for Blind Image Quality Assessment Subhadeep Roy, Shankhanil Mitra, Soma Biswas, Rajiv Soundararajan Paper ID:9309 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, meta-, unsupervised learning | Deep Multiview Clustering by Contrasting Cluster Assignments Jie Chen, Hua Mao, Wai Lok Woo, Xi Peng Paper ID:2956 |
| Friday 6th 10:30 AM-12:30 PM | Photogrammetry and remote sensing | Re:PolyWorld - A Graph Neural Network for Polygonal Scene Parsing Stefano Zorzi, Friedrich Fraundorfer Paper ID:11229 |
| Friday 6th 10:30 AM-12:30 PM | Photogrammetry and remote sensing | SatlasPretrain: A Large-Scale Dataset for Remote Sensing Image Understanding Favyen Bastani, Piper Wolters, Ritwik Gupta, Joe Ferdinando, Aniruddha Kembhavi Paper ID:5230 |
| Friday 6th 10:30 AM-12:30 PM | Photogrammetry and remote sensing | Large-Scale Land Cover Mapping with Fine-Grained Classes via Class-Aware Semi-Supervised Semantic Segmentation Runmin Dong, Lichao Mou, Mengxuan Chen, Weijia Li, Xin-Yi Tong, Shuai Yuan, Lixian Zhang, Juepeng Zheng, Xiaoxiang Zhu, Haohuan Fu Paper ID:11265 |
| Friday 6th 10:30 AM-12:30 PM | Photogrammetry and remote sensing | Large Selective Kernel Network for Remote Sensing Object Detection Yuxuan Li, Qibin Hou, Zhaohui Zheng, Ming-Ming Cheng, Jian Yang, Xiang Li Paper ID:1824 |
| Friday 6th 10:30 AM-12:30 PM | Photogrammetry and remote sensing | Towards Geospatial Foundation Models via Continual Pretraining Matías Mendieta, Boran Han, Xingjian Shi, Yi Zhu, Chen Chen Paper ID:10512 |
| Friday 6th 10:30 AM-12:30 PM | Photogrammetry and remote sensing | Regularized Primitive Graph Learning for Unified Vector Mapping Lei Wang, Min Dai, Jianan He, Jingwei Huang Paper ID:11957 |
| Friday 6th 10:30 AM-12:30 PM | Photogrammetry and remote sensing | Class Prior-Free Positive-Unlabeled Learning with Taylor Variational Loss for Hyperspectral Remote Sensing Imagery Hengwei Zhao, Xinyu Wang, Jingtao Li, Yanfei Zhong Paper ID:1351 |
| Friday 6th 10:30 AM-12:30 PM | Photogrammetry and remote sensing | MapFormer: Boosting Change Detection by Using Pre-change Information Maximilian Bernhard, Niklas Strauß, Matthias Schubert Paper ID:10565 |
| Friday 6th 10:30 AM-12:30 PM | Photogrammetry and remote sensing | Sample4Geo: Hard Negative Sampling For Cross-View Geo-Localisation Fabian Deuser, Konrad Habel, Norbert Oswald Paper ID:7392 |
| Friday 6th 10:30 AM-12:30 PM | Photogrammetry and remote sensing | PanFlowNet: A Flow-Based Deep Network for Pan-Sharpening Gang Yang, Xiangyong Cao, Wenzhe Xiao, Man Zhou, Aiping Liu, Xun Chen, Deyu Meng Paper ID:2714 |
| Friday 6th 10:30 AM-12:30 PM | Photogrammetry and remote sensing | Seeing Beyond the Patch: Scale-Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery based on Reinforcement Learning Yinhe Liu, Sunan Shi, Junjue Wang, Yanfei Zhong Paper ID:1646 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | AdaNIC: Towards Practical Neural Image Compression via Dynamic Transform Routing Lvfang Tao, Wei Gao, Ge Li, Chenhao Zhang Paper ID:12018 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | Rethinking Vision Transformers for MobileNet Size and Speed Yanyu Li, Ju Hu, Yang Wen, Georgios Evangelidis, Kamyar Salahi, Yanzhi Wang, Sergey Tulyakov, Jian Ren Paper ID:6362 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | DELFlow: Dense Efficient Learning of Scene Flow for Large-Scale Point Clouds Chensheng Peng, Guangming Wang, Xian Wan Lo, Xinrui Wu, Chenfeng Xu, Masayoshi Tomizuka, Wei Zhan, Hesheng Wang Paper ID:6322 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | Eventful Transformers: Leveraging Temporal Redundancy in Vision Transformers Matthew Dutson, Yin Li, Mohit Gupta Paper ID:5394 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | Inherent Redundancy in Spiking Neural Networks Man Yao, Jiakui Hu, Guangshe Zhao, Yaoyuan Wang, Ziyang Zhang, Bo Xu, Guoqi Li Paper ID:5328 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | Achievement-Based Training Progress Balancing for Multi-Task Learning Hayoung Yun, Hanjoo Cho Paper ID:5928 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | Prune Spatio-temporal Tokens by Semantic-aware Temporal Accumulation Shuangrui Ding, Peisen Zhao, Xiaopeng Zhang, Rui Qian, Hongkai Xiong, Qi Tian Paper ID:4989 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | Differentiable Transportation Pruning Yunqiang Li, Jan C. van Gemert, Torsten Hoefler, Bert Moons, Evangelos Eleftheriou, Bram-Ernst Verhoef Paper ID:12404 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | XiNet: Efficient Neural Networks for tinyML Alberto Ancilotto, Francesco Paissan, Elisabetta Farella Paper ID:12250 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | Jumping through Local Minima: Quantization in the Loss Landscape of Vision Transformers Natalia Frumkin, Dibakar Gope, Diana Marculescu Paper ID:10131 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | A2Q: Accumulator-Aware Quantization with Guaranteed Overflow Avoidance Ian Colbert, Alessandro Pappalardo, Jakoba Petri-Koenig Paper ID:10137 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | Workie-Talkie: Accelerating Federated Learning by Overlapping Computing and Communications via Contrastive Regularization Rui Chen, Qiyu Wan, Pavana Prakash, Lan Zhang, Xu Yuan, Yanmin Gong, Xin Fu, Miao Pan Paper ID:10125 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | DenseShift: Towards Accurate and Efficient Low-Bit Power-of-Two Quantization Xinlin Li, Bang Liu, Rui Heng Yang, Vanessa Courville, Chao Xing, Vahid Partovi Nia Paper ID:10216 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | PRANC: Pseudo RAndom Networks for Compacting Deep Models Parsa Nooralinejad, Ali Abbasi, Soroush Abbasi Koohpayegani, Kossar Pourahmadi Meibodi, Rana Muhammad Shahroz Khan, Soheil Kolouri, Hamed Pirsiavash Paper ID:10265 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement Fartash Faghri, Hadi Pouransari, Sachin Mehta, Mehrdad Farajtabar, Ali Farhadi, Mohammad Rastegari, Oncel Tuzel Paper ID:10289 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | A Fast Unified System for 3D Object Detection and Tracking Thomas Heitzinger, Martin Kampel Paper ID:9316 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | Estimator Meets Equilibrium Perspective: A Rectified Straight Through Estimator for Binary Neural Networks Training Xiao-Ming Wu, Dian Zheng, Zuhao Liu, Wei-Shi Zheng Paper ID:9163 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference Zhikai Li, Qingyi Gu Paper ID:4368 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization Peijie Dong, Lujun Li, Zimian Wei, Xin Niu, Zhiliang Tian, Hengyue Pan Paper ID:8688 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels Yae Jee Cho, Gauri Joshi, Dimitrios Dimitriadis Paper ID:11153 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | DataDAM: Efficient Dataset Distillation with Attention Matching Ahmad Sajedi, Samir Khaki, Ehsan Amjadian, Lucy Z. Liu, Yuri A. Lawryshyn, Konstantinos N. Plataniotis Paper ID:11321 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | SAFE: Machine Unlearning With Shard Graphs Yonatan Dukler, Benjamin Bowman, Alessandro Achille, Aditya Golatkar, Ashwin Swaminathan, Stefano Soatto Paper ID:11330 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | ResQ: Residual Quantization for Video Perception Davide Abati, Haitam Ben Yahia, Markus Nagel, Amirhossein Habibian Paper ID:7088 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | Efficient Computation Sharing for Multi-Task Visual Scene Understanding Sara Shoouri, Mingyu Yang, Zichen Fan, Hun-Seok Kim Paper ID:9100 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | Essential Matrix Estimation using Convex Relaxations in Orthogonal Space Arman Karimian, Roberto Tron Paper ID:12777 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | TripLe: Revisiting Pretrained Model Reuse and Progressive Learning for Efficient Vision Transformer Scaling and Searching Cheng Fu, Hanxian Huang, Zixuan Jiang, Yun Ni, Lifeng Nai, Gang Wu, Liqun Cheng, Yanqi Zhou, Sheng Li, Andrew Li, Jishen Zhao Paper ID:2747 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | DiffRate : Differentiable Compression Rate for Efficient Vision Transformers Mengzhao Chen, Wenqi Shao, Peng Xu, Mingbao Lin, Kaipeng Zhang, Fei Chao, Rongrong Ji, Yu Qiao, Ping Luo Paper ID:3378 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object Detection Longrong Yang, Xianpan Zhou, Xuewei Li, Liang Qiao, Zheyang Li, Ziwei Yang, Gaoang Wang, Xi Li Paper ID:3704 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | From Knowledge Distillation to Self-Knowledge Distillation: A Unified Approach with Normalized Loss and Customized Soft Labels Zhendong Yang, Ailing Zeng, Zhe Li, Tianke Zhang, Chun Yuan, Yu Li Paper ID:3172 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | Efficient 3D Semantic Segmentation with Superpoint Transformer Damien Robert, Hugo Raguet, Loic Landrieu Paper ID:1800 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | Dataset Quantization Daquan Zhou, Kai Wang, Jianyang Gu, Xiangyu Peng, Dongze Lian, Yifan Zhang, Yang You, Jiashi Feng Paper ID:2069 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision Redundancy Shibo Jie, Haoqing Wang, Zhi-Hong Deng Paper ID:1535 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers Zhikai Li, Junrui Xiao, Lianwei Yang, Qingyi Gu Paper ID:3743 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | Semantically Structured Image Compression via Irregular Group-Based Decoupling Ruoyu Feng, Yixin Gao, Xin Jin, Runsen Feng, Zhibo Chen Paper ID:2933 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage Song Park, Sanghyuk Chun, Byeongho Heo, Wonjae Kim, Sangdoo Yun Paper ID:1251 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | SMMix: Self-Motivated Image Mixing for Vision Transformers Mengzhao Chen, Mingbao Lin, Zhihang Lin, Yuxin Zhang, Fei Chao, Rongrong Ji Paper ID:1262 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | Multi-Label Knowledge Distillation Penghui Yang, Ming-Kun Xie, Chen-Chen Zong, Lei Feng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang Paper ID:11830 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | UGC: Unified GAN Compression for Efficient Image-to-Image Translation Yuxi Ren, Jie Wu, Peng Zhang, Manlin Zhang, Xuefeng Xiao, Qian He, Rui Wang, Min Zheng, Xin Pan Paper ID:4426 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | MotionDeltaCNN: Sparse CNN Inference of Frame Differences in Moving Camera Videos with Spherical Buffers and Padded Convolutions Mathias Parger, Chengcheng Tang, Thomas Neff, Christopher D. Twigg, Cem Keskin, Robert Wang, Markus Steinberger Paper ID:4625 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | EfficientViT: Lightweight Multi-Scale Attention for High-Resolution Dense Prediction Han Cai, Junyan Li, Muyan Hu, Chuang Gan, Song Han Paper ID:12517 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | DREAM: Efficient Dataset Distillation by Representative Matching Yanqing Liu, Jianyang Gu, Kai Wang, Zheng Zhu, Wei Jiang, Yang You Paper ID:5852 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | INSTA-BNN: Binary Neural Network with INSTAnce-aware Threshold Changhun Lee, Hyungjun Kim, Eunhyeok Park, Jae-Joon Kim Paper ID:12423 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | Deep Incubation: Training Large Models by Divide-and-Conquering Zanlin Ni, Yulin Wang, Jiangwei Yu, Haojun Jiang, Yue Cao, Gao Huang Paper ID:4671 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts Tianlong Chen, Xuxi Chen, Xianzhi Du, Abdullah Rashwan, Fan Yang, Huizhong Chen, Zhangyang Wang, Yeqing Li Paper ID:10290 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | Overcoming Forgetting Catastrophe in Quantization-Aware Training Ting-An Chen, De-Nian Yang, Ming-Syan Chen Paper ID:9579 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models Guoxuan Xia, Christos-Savvas Bouganis Paper ID:9522 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | ORC: Network Group-based Knowledge Distillation using Online Role Change Junyong Choi, Hyeon Cho, Seokhwa Cheung, Wonjun Hwang Paper ID:9319 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks Yufei Guo, Xiaode Liu, Yuanpei Chen, Liwen Zhang, Weihang Peng, Yuhan Zhang, Xuhui Huang, Zhe Ma Paper ID:7019 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | Structural Alignment for Network Pruning through Partial Regularization Shangqian Gao, Zeyu Zhang, Yanfu Zhang, Feihu Huang, Heng Huang Paper ID:9082 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | Automated Knowledge Distillation via Monte Carlo Tree Search Lujun Li, Peijie Dong, Zimian Wei, Ya Yang Paper ID:8888 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications Abdelrahman Shaker, Muhammad Maaz, Hanoona Rasheed, Salman Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan Paper ID:10632 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | Causal-DFQ: Causality Guided Data-Free Network Quantization Yuzhang Shang, Bingxin Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan Paper ID:8666 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks Kaixin Xu, Zhe Wang, Xue Geng, Min Wu, Xiaoli Li, Weisi Lin Paper ID:7352 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | Automatic Network Pruning via Hilbert-Schmidt Independence Criterion Lasso under Information Bottleneck Principle Song Guo, Lei Zhang, Xiawu Zheng, Yan Wang, Yuchao Li, Fei Chao, Chenglin Wu, Shengchuan Zhang, Rongrong Ji Paper ID:11212 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | Distribution Shift Matters for Knowledge Distillation with Webly Collected Images Jialiang Tang, Shuo Chen, Gang Niu, Masashi Sugiyama, Chen Gong Paper ID:7138 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | FastRecon: Few-shot Industrial Anomaly Detection via Fast Feature Reconstruction Zheng Fang, Xiaoyang Wang, Haocheng Li, Jiejie Liu, Qiugui Hu, Jimin Xiao Paper ID:10605 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning Cheng Han, Qifan Wang, Yiming Cui, Zhiwen Cao, Wenguan Wang, Siyuan Qi, Dongfang Liu Paper ID:6523 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image Segmentation Zunnan Xu, Zhihong Chen, Yong Zhang, Yibing Song, Xiang Wan, Guanbin Li Paper ID:1869 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations Sharath Girish, Abhinav Shrivastava, Kamal Gupta Paper ID:1898 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | Efficient Deep Space Filling Curve Wanli Chen, Xufeng Yao, Xinyun Zhang, Bei Yu Paper ID:1622 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | Q-Diffusion: Quantizing Diffusion Models Xiuyu Li, Yijiang Liu, Long Lian, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer Paper ID:4084 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | Lossy and Lossless (L2) Post-training Model Size Compression Yumeng Shi, Shihao Bai, Xiuying Wei, Ruihao Gong, Jianlei Yang Paper ID:2048 |
| Friday 6th 10:30 AM-12:30 PM | Efficient and scalable vision | Robustifying Token Attention for Vision Transformers Yong Guo, David Stutz, Bernt Schiele Paper ID:2423 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Strivec: Sparse Tri-Vector Radiance Fields Quankai Gao, Qiangeng Xu, Hao Su, Ulrich Neumann, Zexiang Xu Paper ID:3306 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | LDP-Feat: Image Features with Local Differential Privacy Francesco Pittaluga, Bingbing Zhuang Paper ID:1478 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection Yichen Xie, Chenfeng Xu, Marie-Julie Rakotosaona, Patrick Rim, Federico Tombari, Kurt Keutzer, Masayoshi Tomizuka, Wei Zhan Paper ID:3435 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Strata-NeRF : Neural Radiance Fields for Stratified Scenes Ankit Dhiman, R Srinath, Harsh Rangwani, Rishubh Parihar, Lokesh R Boregowda, Srinath Sridhar, R Venkatesh Babu Paper ID:12229 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception Youngseok Kim, Juyeb Shin, Sanmin Kim, In-Jae Lee, Jun Won Choi, Dongsuk Kum Paper ID:2479 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | LightGlue: Local Feature Matching at Light Speed Philipp Lindenberger, Paul-Edouard Sarlin, Marc Pollefeys Paper ID:4434 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | ExBluRF: Efficient Radiance Fields for Extreme Motion Blurred Images Dongwoo Lee, Jeongtaek Oh, Jaesung Rim, Sunghyun Cho, Kyoung Mu Lee Paper ID:4826 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Generalized Differentiable RANSAC Tong Wei, Yash Patel, Alexander Shekhovtsov, Jiri Matas, Daniel Barath Paper ID:2126 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Constraining Depth Map Geometry for Multi-View Stereo: A Dual-Depth Approach with Saddle-shaped Depth Cells Xinyi Ye, Weiyue Zhao, Tianqi Liu, Zihao Huang, Zhiguo Cao, Xin Li Paper ID:1584 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis Chonghyuk Song, Gengshan Yang, Kangle Deng, Jun-Yan Zhu, Deva Ramanan Paper ID:1880 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Seal-3D: Interactive Pixel-Level Editing for Neural Radiance Fields Xiangyu Wang, Jingsen Zhu, Qi Ye, Yuchi Huo, Yunlong Ran, Zhihua Zhong, Jiming Chen Paper ID:1192 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | PointMBF: A Multi-scale Bidirectional Fusion Network for Unsupervised RGB-D Point Cloud Registration Mingzhi Yuan, Kexue Fu, Zhihao Li, Yucong Meng, Manning Wang Paper ID:1765 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | PARF: Primitive-Aware Radiance Fusion for Indoor Scene Novel View Synthesis Haiyang Ying, Baowei Jiang, Jinzhi Zhang, Di Xu, Tao Yu, Qionghai Dai, Lu Fang Paper ID:4730 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Rethinking Point Cloud Registration as Masking and Reconstruction Guangyan Chen, Meiling Wang, Li Yuan, Yi Yang, Yufeng Yue Paper ID:2164 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang Paper ID:1310 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement Jiaxiang Tang, Hang Zhou, Xiaokang Chen, Tianshu Hu, Errui Ding, Jingdong Wang, Gang Zeng Paper ID:2388 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | CVRecon: Rethinking 3D Geometric Feature Learning For Neural Reconstruction Ziyue Feng, Liang Yang, Pengsheng Guo, Bing Li Paper ID:4494 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | RICO: Regularizing the Unobservable for Indoor Compositional Reconstruction Zizhang Li, Xiaoyang Lyu, Yuanyuan Ding, Mengmeng Wang, Yiyi Liao, Yong Liu Paper ID:4663 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Multiscale Representation for Real-Time Anti-Aliasing Neural Rendering Dongting Hu, Zhenkai Zhang, Tingbo Hou, Tongliang Liu, Huan Fu, Mingming Gong Paper ID:4612 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | ELFNet: Evidential Local-global Fusion for Stereo Matching Jieming Lou, Weide Liu, Zhuo Chen, Fayao Liu, Jun Cheng Paper ID:1228 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo Labelers Tuan Duc Ngo, Binh-Son Hua, Khoi Nguyen Paper ID:6595 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Multi-body Depth and Camera Pose Estimation from Multiple Views Andrea Porfiri Dal Cin, Giacomo Boracchi, Luca Magri Paper ID:6405 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Reference-guided Controllable Inpainting of Neural Radiance Fields Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski Paper ID:6418 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Retro-FPN: Retrospective Feature Pyramid Network for Point Cloud Semantic Segmentation Peng Xiang, Xin Wen, Yu-Shen Liu, Hui Zhang, Yi Fang, Zhizhong Han Paper ID:6304 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | GeoMIM: Towards Better 3D Knowledge Transfer via Masked Image Modeling for Multi-view 3D Understanding Jihao Liu, Tai Wang, Boxiao Liu, Qihang Zhang, Yu Liu, Hongsheng Li Paper ID:11844 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception Xiaofeng Wang, Zheng Zhu, Wenbo Xu, Yunpeng Zhang, Yi Wei, Xu Chi, Yun Ye, Dalong Du, Jiwen Lu, Xingang Wang Paper ID:6588 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Surface Normal Clustering for Implicit Representation of Manhattan Scenes Nikola Popovic, Danda Pani Paudel, Luc Van Gool Paper ID:6272 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Spacetime Surface Regularization for Neural Dynamic Scene Reconstruction Jaesung Choe, Christopher Choy, Jaesik Park, In So Kweon, Anima Anandkumar Paper ID:5262 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | LDL: Line Distance Functions for Panoramic Localization Junho Kim, Changwoon Choi, Hojun Jang, Young Min Kim Paper ID:5752 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Learning Neural Implicit Surfaces with Object-Aware Radiance Fields Yiheng Zhang, Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei Paper ID:11947 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | MonoNeRF: Learning a Generalizable Dynamic Radiance Field from Monocular Videos Fengrui Tian, Shaoyi Du, Yueqi Duan Paper ID:5411 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Neural Radiance Field with LiDAR maps MingFang Chang, Akash Sharma, Michael Kaess, Simon Lucey Paper ID:5383 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Deformable Model-Driven Neural Rendering for High-Fidelity 3D Reconstruction of Human Heads Under Low-View Settings Baixin Xu, Jiarui Zhang, Kwan-Yee Lin, Chen Qian, Ying He Paper ID:6106 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | DeLiRa: Self-Supervised Depth, Light, and Radiance Fields Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Sergey Zakharov, Vincent Sitzmann, Adrien Gaidon Paper ID:5350 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | ATT3D: Amortized Text-to-3D Object Synthesis Jonathan Lorraine, Kevin Xie, Xiaohui Zeng, Chen-Hsuan Lin, Towaki Takikawa, Nicholas Sharp, Tsung-Yi Lin, Ming-Yu Liu, Sanja Fidler, James Lucas Paper ID:5316 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | ScatterNeRF: Seeing Through Fog with Physically-Based Inverse Neural Rendering Andrea Ramazzina, Mario Bijelic, Stefanie Walz, Alessandro Sanvito, Dominik Scheuble, Felix Heide Paper ID:6275 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow Philippe Weinzaepfel, Thomas Lucas, Vincent Leroy, Yohann Cabon, Vaibhav Arora, Romain Brégier, Gabriela Csurka, Leonid Antsfeld, Boris Chidlovskii, Jerome Revaud Paper ID:6008 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Guiding Local Feature Matching with Surface Curvature Shuzhe Wang, Juho Kannala, Marc Pollefeys, Daniel Barath Paper ID:9519 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | NaviNeRF: NeRF-based 3D Representation Disentanglement by Latent Semantic Navigation Baao Xie, Bohan Li, Zequn Zhang, Junting Dong, Xin Jin, Jingyu Yang, Wenjun Zeng Paper ID:9573 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Efficient LiDAR Point Cloud Oversegmentation Network Le Hui, Linghua Tang, Yuchao Dai, Jin Xie, Jian Yang Paper ID:9592 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Iterative Superquadric Recomposition of 3D Objects from Multiple Views Stephan Alaniz, Massimiliano Mancini, Zeynep Akata Paper ID:9612 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields Zeke Xie, Xindi Yang, Yujie Yang, Qi Sun, Yixiang Jiang, Haoran Wang, Yunfeng Cai, Mingming Sun Paper ID:9880 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | LiveHand: Real-time and Photorealistic Neural Hand Rendering Akshay Mundra, Mallikarjun B R, Jiayi Wang, Marc Habermann, Christian Theobalt, Mohamed Elgharib Paper ID:10096 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Neural-PBIR Reconstruction of Shape, Material, and Illumination Cheng Sun, Guangyan Cai, Zhengqin Li, Kai Yan, Cheng Zhang, Carl Marshall, Jia-Bin Huang, Shuang Zhao, Zhao Dong Paper ID:10311 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Predict to Detect: Prediction-guided 3D Object Detection using Sequential Images Sanmin Kim, Youngseok Kim, In-Jae Lee, Dongsuk Kum Paper ID:10634 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | ObjectFusion: Multi-modal 3D Object Detection with Object-Centric Fusion Qi Cai, Yingwei Pan, Ting Yao, Chong-Wah Ngo, Tao Mei Paper ID:10878 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Domain Generalization of 3D Semantic Segmentation in Autonomous Driving Jules Sanchez, Jean-Emmanuel Deschaud, François Goulette Paper ID:10913 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | When Epipolar Constraint Meets Non-Local Operators in Multi-View Stereo Tianqi Liu, Xinyi Ye, Weiyue Zhao, Zhiyu Pan, Min Shi, Zhiguo Cao Paper ID:11187 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation Zongyi Xu, Bo Yuan, Shanshan Zhao, Qianni Zhang, Xinbo Gao Paper ID:11416 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | UniT3D: A Unified Transformer for 3D Dense Captioning and Visual Grounding Zhenyu Chen, Ronghang Hu, Xinlei Chen, Matthias Nießner, Angel X. Chang Paper ID:9485 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Nerfbusters: Removing Ghostly Artifacts from Casually Captured NeRFs Frederik Warburg, Ethan Weber, Matthew Tancik, Aleksander Holynski, Angjoo Kanazawa Paper ID:6657 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Clutter Detection and Removal in 3D Scenes with View-Consistent Inpainting Fangyin Wei, Thomas Funkhouser, Szymon Rusinkiewicz Paper ID:9326 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | PG-RCNN: Semantic Surface Point Generation for 3D Object Detection Inyong Koo, Inyoung Lee, Se-Ho Kim, Hee-Seon Kim, Woo-jin Jeon, Changick Kim Paper ID:7316 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Distributed Bundle Adjustment with Block-Based Sparse Matrix Compression for Super Large Scale Datasets Maoteng Zheng, Nengcheng Chen, Junfeng Zhu, Xiaoru Zeng, Huanbin Qiu, Yuyao Jiang, Xingyue Lu, Hao Qu Paper ID:7325 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Adaptive Reordering Sampler with Neurally Guided MAGSAC Tong Wei, Jiri Matas, Daniel Barath Paper ID:5156 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Privacy Preserving Localization via Coordinate Permutations Linfei Pan, Johannes L. Schönberger, Viktor Larsson, Marc Pollefeys Paper ID:7428 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | DG-Recon: Depth-Guided Neural 3D Scene Reconstruction Jihong Ju, Ching Wei Tseng, Oleksandr Bailo, Georgi Dikov, Mohsen Ghafoorian Paper ID:7523 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | WaveNeRF: Wavelet-based Generalizable Neural Radiance Fields Muyu Xu, Fangneng Zhan, Jiahui Zhang, Yingchen Yu, Xiaoqin Zhang, Christian Theobalt, Ling Shao, Shijian Lu Paper ID:8889 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | TransIFF: An Instance-Level Feature Fusion Framework for Vehicle-Infrastructure Cooperative 3D Detection with Transformers Ziming Chen, Yifeng Shi, Jinrang Jia Paper ID:9107 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Density-invariant Features for Distant Point Cloud Registration Quan Liu, Hongzi Zhu, Yunsong Zhou, Hongyang Li, Shan Chang, Minyi Guo Paper ID:9206 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | UMIFormer: Mining the Correlations between Similar Tokens for Multi-View 3D Reconstruction Zhenwei Zhu, Liying Yang, Ning Li, Chaohao Jiang, Yanyan Liang Paper ID:5146 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Neural LiDAR Fields for Novel View Synthesis Shengyu Huang, Zan Gojcic, Zian Wang, Francis Williams, Yoni Kasten, Sanja Fidler, Konrad Schindler, Or Litany Paper ID:1719 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Learning Unified Decompositional and Compositional NeRF for Editable Novel View Synthesis Yuxin Wang, Wayne Wu, Dan Xu Paper ID:2640 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Long-Range Grouping Transformer for Multi-View 3D Reconstruction Liying Yang, Zhenwei Zhu, Xuxin Lin, Jian Nong, Yanyan Liang Paper ID:3839 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Cross Modal Transformer: Towards Fast and Robust 3D Object Detection Junjie Yan, Yingfei Liu, Jianjian Sun, Fan Jia, Shuailin Li, Tiancai Wang, Xiangyu Zhang Paper ID:2594 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection Yadan Luo, Zhuoxiao Chen, Zhen Fang, Zheng Zhang, Mahsa Baktashmotlagh, Zi Huang Paper ID:4087 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | C2F2NeUS: Cascade Cost Frustum Fusion for High Fidelity and Generalizable Neural Surface Reconstruction Luoyuan Xu, Tao Guan, Yuesong Wang, Wenkai Liu, Zhaojie Zeng, Junle Wang, Wei Yang Paper ID:1315 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | End-to-end 3D Tracking with Decoupled Queries Yanwei Li, Zhiding Yu, Jonah Philion, Anima Anandkumar, Sanja Fidler, Jiaya Jia, Jose Alvarez Paper ID:3176 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs Zezhou Cheng, Carlos Esteves, Varun Jampani, Abhishek Kar, Subhransu Maji, Ameesh Makadia Paper ID:2873 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | GridPull: Towards Scalability in Learning Implicit Representations from 3D Point Clouds Chao Chen, Yu-Shen Liu, Zhizhong Han Paper ID:3404 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Robust e-NeRF: NeRF from Sparse & Noisy Events under Non-Uniform Motion Weng Fei Low, Gim Hee Lee Paper ID:1736 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Parameterized Cost Volume for Stereo Matching Jiaxi Zeng, Chengtang Yao, Lidong Yu, Yuwei Wu, Yunde Jia Paper ID:3418 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Coordinate Quantized Neural Implicit Representations for Multi-view Reconstruction Sijia Jiang, Jing Hua, Zhizhong Han Paper ID:3424 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Pixel-Aligned Recurrent Queries for Multi-View 3D Object Detection Yiming Xie, Huaizu Jiang, Georgia Gkioxari, Julian Straub Paper ID:5094 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Optimizing the Placement of Roadside LiDARs for Autonomous Driving Wentao Jiang, Hao Xiang, Xinyu Cai, Runsheng Xu, Jiaqi Ma, Yikang Li, Gim Hee Lee, Si Liu Paper ID:3491 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | ActorsNeRF: Animatable Few-shot Human Rendering with Generalizable NeRFs Jiteng Mu, Shen Sang, Nuno Vasconcelos, Xiaolong Wang Paper ID:4234 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | NeRFrac: Neural Radiance Fields through Refractive Surface Yifan Zhan, Shohei Nobuhara, Ko Nishino, Yinqiang Zheng Paper ID:4754 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation Lizhao Liu, Zhuangwei Zhuang, Shangxin Huang, Xunlong Xiao, Tianhang Xiang, Cen Chen, Jingdong Wang, Mingkui Tan Paper ID:1987 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | FineRecon: Depth-aware Feed-forward Network for Detailed 3D Reconstruction Noah Stier, Anurag Ranjan, Alex Colburn, Yajie Yan, Liang Yang, Fangchang Ma, Baptiste Angles Paper ID:1881 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Point-SLAM: Dense Neural Point Cloud-based SLAM Erik Sandström, Yue Li, Luc Van Gool, Martin R. Oswald Paper ID:1873 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation Nermin Samet, Oriane Siméoni, Gilles Puy, Georgy Ponimatkin, Renaud Marlet, Vincent Lepetit Paper ID:1856 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Tetra-NeRF: Representing Neural Radiance Fields Using Tetrahedra Jonas Kulhanek, Torsten Sattler Paper ID:4970 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Active Stereo Without Pattern Projector Luca Bartolomei, Matteo Poggi, Fabio Tosi, Andrea Conti, Stefano Mattoccia Paper ID:1651 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | HOSNeRF: Dynamic Human-Object-Scene Neural Radiance Fields from a Single Video Jia-Wei Liu, Yan-Pei Cao, Tianyuan Yang, Zhongcong Xu, Jussi Keppo, Ying Shan, Xiaohu Qie, Mike Zheng Shou Paper ID:5040 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | PlankAssembly: Robust 3D Reconstruction from Three Orthographic Views with Learnt Shape Programs Wentao Hu, Jia Zheng, Zixin Zhang, Xiaojun Yuan, Jian Yin, Zihan Zhou Paper ID:1163 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Efficient View Synthesis with Neural Radiance Distribution Field Yushuang Wu, Xiao Li, Jinglu Wang, Xiaoguang Han, Shuguang Cui, Yan Lu Paper ID:4339 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Query Refinement Transformer for 3D Instance Segmentation Jiahao Lu, Jiacheng Deng, Chuxin Wang, Jianfeng He, Tianzhu Zhang Paper ID:2246 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses Xuesong Chen, Shaoshuai Shi, Chao Zhang, Benjin Zhu, Qiang Wang, Ka Chun Cheung, Simon See, Hongsheng Li Paper ID:1564 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | NerfAcc: Efficient Sampling Accelerates NeRFs Ruilong Li, Hang Gao, Matthew Tancik, Angjoo Kanazawa Paper ID:4705 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | NeTO:Neural Reconstruction of Transparent Objects with Self-Occlusion Aware Refraction-Tracing Zongcheng Li, Xiaoxiao Long, Yusen Wang, Tuo Cao, Wenping Wang, Fei Luo, Chunxia Xiao Paper ID:4628 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Text2Tex: Text-driven Texture Synthesis via Diffusion Models Dave Zhenyu Chen, Yawar Siddiqui, Hsin-Ying Lee, Sergey Tulyakov, Matthias Nießner Paper ID:4677 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | Learning Long-Range Information with Dual-Scale Transformers for Indoor Scene Completion Ziqi Wang, Fei Luo, Xiaoxiao Long, Wenxiao Zhang, Chunxia Xiao Paper ID:4685 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos Haisong Liu, Yao Teng, Tao Lu, Haiguang Wang, Limin Wang Paper ID:2325 |
| Friday 6th 10:30 AM-12:30 PM | 3D from multi-view and sensors 2 | NeRF-MS: Neural Radiance Fields with Multi-Sequence Peihao Li, Shaohui Wang, Chen Yang, Bingbing Liu, Weichao Qiu, Haoqian Wang Paper ID:2323 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Label-Guided Knowledge Distillation for Continual Semantic Segmentation on 2D Images and 3D Point Clouds Ze Yang, Ruibo Li, Evan Ling, Chi Zhang, Yiming Wang, Dezhao Huang, Keng Teck Ma, Minhoe Hur, Guosheng Lin Paper ID:6132 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | ETran: Energy-Based Transferability Estimation Mohsen Gholami, Mohammad Akbari, Xinglu Wang, Behnam Kamranian, Yong Zhang Paper ID:12738 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | PØDA: Prompt-driven Zero-shot Domain Adaptation Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette Paper ID:6091 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Local Context-Aware Active Domain Adaptation Tao Sun, Cheng Lu, Haibin Ling Paper ID:5330 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | MRN: Multiplexed Routing Network for Incremental Multilingual Text Recognition Tianlun Zheng, Zhineng Chen, Bingchen Huang, Wei Zhang, Yu-Gang Jiang Paper ID:7472 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Few-Shot Dataset Distillation via Translative Pre-Training Songhua Liu, Xinchao Wang Paper ID:3801 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Wasserstein Expansible Variational Autoencoder for Discriminative and Generative Continual Learning Fei Ye, Adrian G. Bors Paper ID:3868 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Tangent Model Composition for Ensembling and Continual Fine-tuning Tian Yu Liu, Stefano Soatto Paper ID:3966 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Look at the Neighbor: Distortion-aware Unsupervised Domain Adaptation for Panoramic Semantic Segmentation Xu Zheng, Tianbo Pan, Yunhao Luo, Lin Wang Paper ID:9091 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Homeomorphism Alignment for Unsupervised Domain Adaptation Lihua Zhou, Mao Ye, Xiatian Zhu, Siying Xiao, Xu-Qian Fan, Ferrante Neri Paper ID:4187 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Knowledge Restore and Transfer for Multi-Label Class-Incremental Learning Songlin Dong, Haoyu Luo, Yuhang He, Xing Wei, Jie Cheng, Yihong Gong Paper ID:4386 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive Learning and Uncorrelated Conditioning Dayuan Jian, Mohammad Rostami Paper ID:8743 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | A Simple Recipe to Meta-Learn Forward and Backward Transfer Edoardo Cetin, Antonio Carta, Oya Celiktutan Paper ID:4471 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Dynamic Residual Classifier for Class Incremental Learning Xiuwei Chen, Xiaobin Chang Paper ID:3125 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Concept-wise Fine-tuning Matters in Preventing Negative Transfer Yunqiao Yang, Long-Kai Huang, Ying Wei Paper ID:3177 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Online Prototype Learning for Online Continual Learning Yujie Wei, Jiaxin Ye, Zhizhong Huang, Junping Zhang, Hongming Shan Paper ID:10396 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Bidirectional Alignment for Domain Adaptive Detection with Transformers Liqiang He, Wei Wang, Albert Chen, Min Sun, Cheng-Hao Kuo, Sinisa Todorovic Paper ID:3278 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm Wenxuan Ma, Shuang Li, JinMing Zhang, Chi Harold Liu, Jingxuan Kang, Yulin Wang, Gao Huang Paper ID:6076 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | CLR: Channel-wise Lightweight Reprogramming for Continual Learning Yunhao Ge, Yuecheng Li, Shuo Ni, Jiaping Zhao, Ming-Hsuan Yang, Laurent Itti Paper ID:9694 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Multi-Modal Continual Test-Time Adaptation for 3D Semantic Segmentation Haozhi Cao, Yuecong Xu, Jianfei Yang, Pengyu Yin, Shenghai Yuan, Lihua Xie Paper ID:9707 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning Aristeidis Panos, Yuriko Kobe, Daniel Olmeda Reino, Rahaf Aljundi, Richard E. Turner Paper ID:9953 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Domain Adaptive Few-Shot Open-Set Learning Debabrata Pal, Deeptej More, Sai Bhargav, Dipesh Tamboli, Vaneet Aggarwal, Biplab Banerjee Paper ID:3497 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Rethinking the Role of Pre-Trained Networks in Source-Free Domain Adaptation Wenyu Zhang, Li Shen, Chuan-Sheng Foo Paper ID:9728 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right? Hasan Abed Al Kader Hammoud, Ameya Prabhu, Ser-Nam Lim, Philip H.S. Torr, Adel Bibi, Bernard Ghanem Paper ID:3507 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Multi-grained Temporal Prototype Learning for Few-shot Video Object Segmentation Nian Liu, Kepan Nan, Wangbo Zhao, Yuanwei Liu, Xiwen Yao, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Junwei Han, Fahad Shahbaz Khan Paper ID:2670 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | A Low-Shot Object Counting Network With Iterative Prototype Adaptation Nikola ?uki?, Alan Lukeži?, Vitjan Zavrtanik, Matej Kristan Paper ID:12275 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Towards Better Robustness against Common Corruptions for Unsupervised Domain Adaptation Zhiqiang Gao, Kaizhu Huang, Rui Zhang, Dawei Liu, Jieming Ma Paper ID:12165 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Alleviating Catastrophic Forgetting of Incremental Object Detection via Within-Class and Between-Class Knowledge Distillation Mengxue Kang, Jinpeng Zhang, Jinming Zhang, Xiashuang Wang, Yang Chen, Zhe Ma, Xuhui Huang Paper ID:12138 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification Fusheng Hao, Fengxiang He, Liu Liu, Fuxiang Wu, Dacheng Tao, Jun Cheng Paper ID:11863 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Order-preserving Consistency Regularization for Domain Adaptation and Generalization Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees G. M. Snoek Paper ID:11664 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation Sunandini Sanyal, Ashish Ramayee Asokan, Suvaansh Bhambri, Akshay Kulkarni, Jogendra Nath Kundu, R Venkatesh Babu Paper ID:2079 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Diffusion Model as Representation Learner Xingyi Yang, Xinchao Wang Paper ID:10685 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | ?-Adaptive Decoupled Prototype for Few-Shot Object Detection Jinhao Du, Shan Zhang, Qiang Chen, Haifeng Le, Yanpeng Sun, Yao Ni, Jian Wang, Bin He, Jingdong Wang Paper ID:2702 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Growing a Brain with Sparsity-Inducing Generation for Continual Learning Hyundong Jin, Gyeong-hyeon Kim, Chanho Ahn, Eunwoo Kim Paper ID:2587 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | DomainAdaptor: A Novel Approach to Test-time Adaptation Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao Paper ID:10766 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Reconciling Object-Level and Global-Level Objectives for Long-Tail Detection Shaoyu Zhang, Chen Chen, Silong Peng Paper ID:10782 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Domain Generalization via Balancing Training Difficulty and Model Capability Xueying Jiang, Jiaxing Huang, Sheng Jin, Shijian Lu Paper ID:2354 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Understanding Hessian Alignment for Domain Generalization Sobhan Hemati, Guojun Zhang, Amir Estiri, Xi Chen Paper ID:11185 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Vision Transformer Adapters for Generalizable Multitask Learning Deblina Bhattacharjee, Sabine Süsstrunk, Mathieu Salzmann Paper ID:10950 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Focus on Your Target: A Dual Teacher-Student Framework for Domain-Adaptive Semantic Segmentation Xinyue Huo, Lingxi Xie, Wengang Zhou, Houqiang Li, Qi Tian Paper ID:3796 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Masked Retraining Teacher-Student Framework for Domain Adaptive Object Detection Zijing Zhao, Sitong Wei, Qingchao Chen, Dehui Li, Yifan Yang, Yuxin Peng, Yang Liu Paper ID:4849 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | DandelionNet: Domain Composition with Instance Adaptive Classification for Domain Generalization Lanqing Hu, Meina Kan, Shiguang Shan, Xilin Chen Paper ID:4873 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | CAFA: Class-Aware Feature Alignment for Test-Time Adaptation Sanghun Jung, Jungsoo Lee, Nanhee Kim, Amirreza Shaban, Byron Boots, Jaegul Choo Paper ID:7203 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Image-Free Classifier Injection for Zero-Shot Classification Anders Christensen, Massimiliano Mancini, A. Sophia Koepke, Ole Winther, Zeynep Akata Paper ID:4942 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | CBA: Improving Online Continual Learning via Continual Bias Adaptor Quanziang Wang, Renzhen Wang, Yichen Wu, Xixi Jia, Deyu Meng Paper ID:6986 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | AdaptGuard: Defending Against Universal Attacks for Model Adaptation Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan Paper ID:6912 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Masked Autoencoders are Efficient Class Incremental Learners Jiang-Tian Zhai, Xialei Liu, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng Paper ID:5085 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | DomainDrop: Suppressing Domain-Sensitive Channels for Domain Generalization Jintao Guo, Lei Qi, Yinghuan Shi Paper ID:7373 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models Zangwei Zheng, Mingyuan Ma, Kai Wang, Ziheng Qin, Xiangyu Yue, Yang You Paper ID:6658 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Incremental Generalized Category Discovery Bingchen Zhao, Oisin Mac Aodha Paper ID:5348 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model Gengwei Zhang, Liyuan Wang, Guoliang Kang, Ling Chen, Yunchao Wei Paper ID:6514 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation Fu-En Yang, Chien-Yi Wang, Yu-Chiang Frank Wang Paper ID:5673 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | iDAG: Invariant DAG Searching for Domain Generalization Zenan Huang, Haobo Wang, Junbo Zhao, Nenggan Zheng Paper ID:5728 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | SSDA: Secure Source-Free Domain Adaptation Sabbir Ahmed, Abdullah Al Arafat, Mamshad Nayeem Rizve, Rahim Hossain, Zhishan Guo, Adnan Siraj Rakin Paper ID:5734 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Learning Pseudo-Relations for Cross-domain Semantic Segmentation Dong Zhao, Shuang Wang, Qi Zang, Dou Quan, Xiutiao Ye, Rui Yang, Licheng Jiao Paper ID:6123 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Self-Organizing Pathway Expansion for Non-Exemplar Class-Incremental Learning Kai Zhu, Kecheng Zheng, Ruili Feng, Deli Zhao, Yang Cao, Zheng-Jun Zha Paper ID:4784 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Improved Knowledge Transfer for Semi-Supervised Domain Adaptation via Trico Training Strategy Ba Hung Ngo, Yeon Jeong Chae, Jung Eun Kwon, Jae Hyeon Park, Sung In Cho Paper ID:5017 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Few-shot Continual Infomax Learning Ziqi Gu, Chunyan Xu, Jian Yang, Zhen Cui Paper ID:9382 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation Suman Saha, Lukas Hoyer, Anton Obukhov, Dengxin Dai, Luc Van Gool Paper ID:9261 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Label-Efficient Online Continual Object Detection in Streaming Video Jay Zhangjie Wu, David Junhao Zhang, Wynne Hsu, Mengmi Zhang, Mike Zheng Shou Paper ID:9146 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Prototypical Kernel Learning and Open-set Foreground Perception for Generalized Few-shot Semantic Segmentation Kai Huang, Feigege Wang, Ye Xi, Yutao Gao Paper ID:3988 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | MSI: Maximize Support-Set Information for Few-Shot Segmentation Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia Paper ID:9059 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | AREA: Adaptive Reweighting via Effective Area for Long-Tailed Classification Xiaohua Chen, Yucan Zhou, Dayan Wu, Chule Yang, Bo Li, Qinghua Hu, Weiping Wang Paper ID:8878 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization Prithvijit Chattopadhyay, Kartik Sarangmath, Vivek Vijaykumar, Judy Hoffman Paper ID:26 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Personalized Semantics Excitation for Federated Image Classification Haifeng Xia, Kai Li, Zhengming Ding Paper ID:8611 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Few-Shot Video Classification via Representation Fusion and Promotion Learning Haifeng Xia, Kai Li, Martin Renqiang Min, Zhengming Ding Paper ID:8610 |
| Friday 6th 10:30 AM-12:30 PM | Transfer, low-shot, continual, long-tail learning 2 | Segmenting Known Objects and Unseen Unknowns without Prior Knowledge Stefano Gasperini, Alvaro Marcos-Ramiro, Michael Schmidt, Nassir Navab, Benjamin Busam, Federico Tombari Paper ID:9915 |
| Friday 6th 10:30 AM-12:30 PM | Machine learning (other than deep learning) | Adaptive Calibrator Ensemble: Navigating Test Set Difficulty in Out-of-Distribution Scenarios Yuli Zou, Weijian Deng, Liang Zheng Paper ID:6861 |
| Friday 6th 10:30 AM-12:30 PM | Machine learning (other than deep learning) | Anchor Structure Regularization Induced Multi-view Subspace Clustering via Enhanced Tensor Rank Minimization Jintian Ji, Songhe Feng Paper ID:5499 |
| Friday 6th 10:30 AM-12:30 PM | Machine learning (other than deep learning) | Meta OOD Learning For Continuously Adaptive OOD Detection Xinheng Wu, Jie Lu, Zhen Fang, Guangquan Zhang Paper ID:11665 |
| Friday 6th 10:30 AM-12:30 PM | Machine learning (other than deep learning) | Learning with Diversity: Self-Expanded Equalization for Better Generalized Deep Metric Learning Jiexi Yan, Zhihui Yin, Erkun Yang, Yanhua Yang, Heng Huang Paper ID:10056 |
| Friday 6th 10:30 AM-12:30 PM | Machine learning (other than deep learning) | Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration Xinghao Wu, Xuefeng Liu, Jianwei Niu, Guogang Zhu, Shaojie Tang Paper ID:11766 |
| Friday 6th 10:30 AM-12:30 PM | Machine learning (other than deep learning) | Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat Erdong Hu, Yuxin Tang, Anastasios Kyrillidis, Chris Jermaine Paper ID:12247 |
| Friday 6th 10:30 AM-12:30 PM | Machine learning (other than deep learning) | Towards Inadequately Pre-trained Models in Transfer Learning Andong Deng, Xingjian Li, Di Hu, Tianyang Wang, Haoyi Xiong, Cheng-Zhong Xu Paper ID:7261 |
| Friday 6th 10:30 AM-12:30 PM | Machine learning (other than deep learning) | Reducing Training Time in Cross-Silo Federated Learning Using Multigraph Topology Tuong Do, Binh X. Nguyen, Vuong Pham, Toan Tran, Erman Tjiputra, Quang D. Tran, Anh Nguyen Paper ID:3923 |
| Friday 6th 10:30 AM-12:30 PM | Machine learning (other than deep learning) | Membrane Potential Batch Normalization for Spiking Neural Networks Yufei Guo, Yuhan Zhang, Yuanpei Chen, Weihang Peng, Xiaode Liu, Liwen Zhang, Xuhui Huang, Zhe Ma Paper ID:5016 |
| Friday 6th 10:30 AM-12:30 PM | Machine learning (other than deep learning) | Revisit PCA-based Technique for Out-of-Distribution Detection Xiaoyuan Guan, Zhouwu Liu, Wei-Shi Zheng, Yuren Zhou, Ruixuan Wang Paper ID:2603 |
| Friday 6th 10:30 AM-12:30 PM | Machine learning (other than deep learning) | Cross-view Topology Based Consistent and Complementary Information for Deep Multi-view Clustering Zhibin Dong, Siwei Wang, Jiaqi Jin, Xinwang Liu, En Zhu Paper ID:6970 |
| Friday 6th 10:30 AM-12:30 PM | Document analysis and understanding | A Benchmark for Chinese-English Scene Text Image Super-Resolution Jianqi Ma, Zhetong Liang, Wangmeng Xiang, Xi Yang, Lei Zhang Paper ID:4925 |
| Friday 6th 10:30 AM-12:30 PM | Document analysis and understanding | Vision Grid Transformer for Document Layout Analysis Cheng Da, Chuwei Luo, Qi Zheng, Cong Yao Paper ID:10338 |
| Friday 6th 10:30 AM-12:30 PM | Document analysis and understanding | Self-Supervised Character-to-Character Distillation for Text Recognition Tongkun Guan, Wei Shen, Xue Yang, Qi Feng, Zekun Jiang, Xiaokang Yang Paper ID:2851 |
| Friday 6th 10:30 AM-12:30 PM | Document analysis and understanding | ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extraction Jiabang He, Lei Wang, Yi Hu, Ning Liu, Hui Liu, Xing Xu, Heng Tao Shen Paper ID:9170 |
| Friday 6th 10:30 AM-12:30 PM | Document analysis and understanding | ESTextSpotter: Towards Better Scene Text Spotting with Explicit Synergy in Transformer Mingxin Huang, Jiaxin Zhang, Dezhi Peng, Hao Lu, Can Huang, Yuliang Liu, Xiang Bai, Lianwen Jin Paper ID:5078 |
| Friday 6th 10:30 AM-12:30 PM | Document analysis and understanding | Few Shot Font Generation Via Transferring Similarity Guided Global Style and Quantization Local Style Wei Pan, Anna Zhu, Xinyu Zhou, Brian Kenji Iwana, Shilin Li Paper ID:11708 |
| Friday 6th 10:30 AM-12:30 PM | Document analysis and understanding | Attention Where It Matters: Rethinking Visual Document Understanding with Selective Region Concentration Haoyu Cao, Changcun Bao, Chaohu Liu, Huang Chen, Kun Yin, Hao Liu, Yinsong Liu, Deqiang Jiang, Xing Sun Paper ID:3780 |
| Friday 6th 10:30 AM-12:30 PM | Document analysis and understanding | Document Understanding Dataset and Evaluation (DUDE) Jordy Van Landeghem, Rubèn Tito, ?ukasz Borchmann, Micha? Pietruszka, Pawel Joziak, Rafal Powalski, Dawid Jurkiewicz, Mickael Coustaty, Bertrand Anckaert, Ernest Valveny, Matthew Blaschko, Sien Moens, Tomasz Stanislawek Paper ID:12222 |
| Friday 6th 10:30 AM-12:30 PM | Document analysis and understanding | LISTER: Neighbor Decoding for Length-Insensitive Scene Text Recognition Changxu Cheng, Peng Wang, Cheng Da, Qi Zheng, Cong Yao Paper ID:8719 |
| Friday 6th 10:30 AM-12:30 PM | Document analysis and understanding | MolGrapher: Graph-based Visual Recognition of Chemical Structures Lucas Morin, Martin Danelljan, Maria Isabel Agea, Ahmed Nassar, Valery Weber, Ingmar Meijer, Peter Staar, Fisher Yu Paper ID:7048 |
| Friday 6th 10:30 AM-12:30 PM | Document analysis and understanding | SCOB: Universal Text Understanding via Character-wise Supervised Contrastive Learning with Online Text Rendering for Bridging Domain Gap Daehee Kim, Yoonsik Kim, DongHyun Kim, Yumin Lim, Geewook Kim, Taeho Kil Paper ID:8795 |
| Friday 6th 10:30 AM-12:30 PM | Document analysis and understanding | Foreground and Text-lines Aware Document Image Rectification Heng Li, Xiangping Wu, Qingcai Chen, Qianjin Xiang Paper ID:11939 |
| Friday 6th 10:30 AM-12:30 PM | Document analysis and understanding | DocTr: Document Transformer for Structured Information Extraction in Documents Haofu Liao, Aruni RoyChowdhury, Weijian Li, Ankan Bansal, Yuting Zhang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan Paper ID:5778 |
| Friday 6th 10:30 AM-12:30 PM | Biometrics | GPGait: Generalized Pose-based Gait Recognition Yang Fu, Shibei Meng, Saihui Hou, Xuecai Hu, Yongzhen Huang Paper ID:9420 |
| Friday 6th 10:30 AM-12:30 PM | Biometrics | RPG-Palm: Realistic Pseudo-data Generation for Palmprint Recognition Lei Shen, Jianlong Jin, Ruixin Zhang, Huaen Li, Kai Zhao, Yingyi Zhang, Jingyun Zhang, Shouhong Ding, Yang Zhao, Wei Jia Paper ID:4979 |
| Friday 6th 10:30 AM-12:30 PM | Biometrics | Learning Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification Feng Liu, Minchul Kim, ZiAng Gu, Anil Jain, Xiaoming Liu Paper ID:5233 |
| Friday 6th 10:30 AM-12:30 PM | Biometrics | Physics-Augmented Autoencoder for 3D Skeleton-Based Gait Recognition Hongji Guo, Qiang Ji Paper ID:4202 |
| Friday 6th 10:30 AM-12:30 PM | Biometrics | Hierarchical Spatio-Temporal Representation Learning for Gait Recognition Lei Wang, Bo Liu, Fangfang Liang, Bincheng Wang Paper ID:10937 |
| Friday 6th 10:30 AM-12:30 PM | Biometrics | IDiff-Face: Synthetic-based Face Recognition through Fizzy Identity-Conditioned Diffusion Model Fadi Boutros, Jonas Henry Grebe, Arjan Kuijper, Naser Damer Paper ID:10991 |
| Friday 6th 10:30 AM-12:30 PM | Biometrics | Template Inversion Attack against Face Recognition Systems using 3D Face Reconstruction Hatef Otroshi Shahreza, Sébastien Marcel Paper ID:11713 |
| Friday 6th 10:30 AM-12:30 PM | Biometrics | Privacy-Preserving Face Recognition Using Random Frequency Components Yuxi Mi, Yuge Huang, Jiazhen Ji, Minyi Zhao, Jiaxiang Wu, Xingkun Xu, Shouhong Ding, Shuigeng Zhou Paper ID:9947 |
| Friday 6th 10:30 AM-12:30 PM | Biometrics | FLIP: Cross-domain Face Anti-spoofing with Language Guidance Koushik Srivatsan, Muzammal Naseer, Karthik Nandakumar Paper ID:11138 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, and unsupervised learning | Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV Jaime Spencer, Chris Russell, Simon Hadfield, Richard Bowden Paper ID:8981 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, and unsupervised learning | Novel Scenes & Classes: Towards Adaptive Open-set Object Detection Wuyang Li, Xiaoqing Guo, Yixuan Yuan Paper ID:3348 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, and unsupervised learning | Improving Unsupervised Visual Program Inference with Code Rewriting Families Aditya Ganeshan, R. Kenny Jones, Daniel Ritchie Paper ID:3261 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, and unsupervised learning | Denoising Diffusion Autoencoders are Unified Self-supervised Learners Weilai Xiang, Hongyu Yang, Di Huang, Yunhong Wang Paper ID:2247 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, and unsupervised learning | Self-Ordering Point Clouds Pengwan Yang, Cees G. M. Snoek, Yuki M. Asano Paper ID:7483 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, and unsupervised learning | MOST: Multiple Object Localization with Self-Supervised Transformers for Object Discovery Sai Saketh Rambhatla, Ishan Misra, Rama Chellappa, Abhinav Shrivastava Paper ID:9594 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, and unsupervised learning | CHORUS : Learning Canonicalized 3D Human-Object Spatial Relations from Unbounded Synthesized Images Sookwan Han, Hanbyul Joo Paper ID:6785 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, and unsupervised learning | Identity-Seeking Self-Supervised Representation Learning for Generalizable Person Re-Identification Zhaopeng Dou, Zhongdao Wang, Yali Li, Shengjin Wang Paper ID:5628 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, and unsupervised learning | Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis Yankai Jiang, Mingze Sun, Heng Guo, Xiaoyu Bai, Ke Yan, Le Lu, Minfeng Xu Paper ID:9413 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, and unsupervised learning | IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization Zekun Li, Lei Qi, Yinghuan Shi, Yang Gao Paper ID:7376 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, and unsupervised learning | Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning Guan Gui, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi Paper ID:11378 |
| Friday 6th 10:30 AM-12:30 PM | Self-, semi-, and unsupervised learning | When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method Manyi Zhang, Xuyang Zhao, Jun Yao, Chun Yuan, Weiran Huang Paper ID:6191 |
| Friday 6th 10:30 AM-12:30 PM | Generative AI 2 | Cross-Ray Neural Radiance Fields for Novel-View Synthesis from Unconstrained Image Collections Yifan Yang, Shuhai Zhang, Zixiong Huang, Yubing Zhang, Mingkui Tan Paper ID:2468 |
| Friday 6th 10:30 AM-12:30 PM | Generative AI 2 | Effective Real Image Editing with Accelerated Iterative Diffusion Inversion Zhihong Pan, Riccardo Gherardi, Xiufeng Xie, Stephen Huang Paper ID:8609 |
| Friday 6th 10:30 AM-12:30 PM | Generative AI 2 | Simulating Fluids in Real-World Still Images Siming Fan, Jingtan Piao, Chen Qian, Hongsheng Li, Kwan-Yee Lin Paper ID:11051 |
| Friday 6th 10:30 AM-12:30 PM | Generative AI 2 | FateZero: Fusing Attentions for Zero-shot Text-based Video Editing Chenyang QI, Xiaodong Cun, Yong Zhang, Chenyang Lei, Xintao Wang, Ying Shan, Qifeng Chen Paper ID:5929 |
| Friday 6th 10:30 AM-12:30 PM | Generative AI 2 | ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation Yuxiang Wei, Yabo Zhang, Zhilong Ji, Jinfeng Bai, Lei Zhang, Wangmeng Zuo Paper ID:4185 |
| Friday 6th 10:30 AM-12:30 PM | Generative AI 2 | Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators Levon Khachatryan, Andranik Movsisyan, Vahram Tadevosyan, Roberto Henschel, Zhangyang Wang, Shant Navasardyan, Humphrey Shi Paper ID:11657 |
| Friday 6th 10:30 AM-12:30 PM | Generative AI 2 | Chupa: Carving 3D Clothed Humans from Skinned Shape Priors using 2D Diffusion Probabilistic Models Byungjun Kim, Patrick Kwon, Kwangho Lee, Myunggi Lee, Sookwan Han, Daesik Kim, Hanbyul Joo Paper ID:6782 |
| Friday 6th 10:30 AM-12:30 PM | Generative AI 2 | DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion Models Karl Holmquist, Bastian Wandt Paper ID:6049 |
| Friday 6th 10:30 AM-12:30 PM | Generative AI 2 | HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation Xuan Ju, Ailing Zeng, Chenchen Zhao, Jianan Wang, Lei Zhang, Qiang Xu Paper ID:2350 |
| Friday 6th 10:30 AM-12:30 PM | Generative AI 2 | Role-Aware Interaction Generation from Textual Description Mikihiro Tanaka, KentFujiwara Paper ID:4796 |
| Friday 6th 10:30 AM-12:30 PM | Generative AI 2 | PhysDiff: Physics-Guided Human Motion Diffusion Model Ye Yuan, Jiaming Song, Umar Iqbal, Arash Vahdat, Jan Kautz Paper ID:1917 |
| Friday 6th 10:30 AM-12:30 PM | Generative AI 2 | Forward Flow for Novel View Synthesis of Dynamic Scenes Xiang Guo, Jiadai Sun, Yuchao Dai, Guanying Chen, Xiaoqing Ye, Xiao Tan, Errui Ding, Yumeng Zhang, Jingdong Wang Paper ID:10050 |
Friday 6th 02:30 PM-04:30 PM - Posters
| Date & Time | Session | Paper Title Author·s Name·s |
| Friday 6th 02:30 PM-04:30 PM | Datasets and evaluation | A step towards understanding why classification helps regression Silvia L. Pintea, Yancong Lin, Jouke Dijkstra, Jan C. van Gemert Paper ID:9976 |
| Friday 6th 02:30 PM-04:30 PM | Datasets and evaluation | DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-Centric Rendering Wei Cheng, Ruixiang Chen, Siming Fan, Wanqi Yin, Keyu Chen, Zhongang Cai, Jingbo Wang, Yang Gao, Zhengming Yu, Zhengyu Lin, Daxuan Ren, Lei Yang, Ziwei Liu, Chen Change Loy, Chen Qian, Wayne Wu, Dahua Lin, Bo Dai, Kwan-Yee Lin Paper ID:2751 |
| Friday 6th 02:30 PM-04:30 PM | Datasets and evaluation | Robo3D: Towards Robust and Reliable 3D Perception against Corruptions Lingdong Kong, Youquan Liu, Xin Li, Runnan Chen, Wenwei Zhang, Jiawei Ren, Liang Pan, Kai Chen, Ziwei Liu Paper ID:1502 |
| Friday 6th 02:30 PM-04:30 PM | Datasets and evaluation | Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond Oren Barkan, Tal Reiss, Jonathan Weill, Ori Katz, Roy Hirsch, Itzik Malkiel, Noam Koenigstein Paper ID:11744 |
| Friday 6th 02:30 PM-04:30 PM | Datasets and evaluation | DetermiNet: A Large-Scale Diagnostic Dataset for Complex Visually-Grounded Referencing using Determiners Clarence Lee, M Ganesh Kumar, Cheston Tan Paper ID:11732 |
| Friday 6th 02:30 PM-04:30 PM | Datasets and evaluation | Beyond Object Recognition: A New Benchmark towards Object Concept Learning Yong-Lu Li, Yue Xu, Xinyu Xu, Xiaohan Mao, Yuan Yao, Siqi Liu, Cewu Lu Paper ID:5174 |
| Friday 6th 02:30 PM-04:30 PM | Datasets and evaluation | HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models Eslam Mohamed Bakr, Pengzhan Sun, Xiaogian Shen, Faizan Farooq Khan, Li Erran Li, Mohamed Elhoseiny Paper ID:9199 |
| Friday 6th 02:30 PM-04:30 PM | Datasets and evaluation | SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning Risa Shinoda, Ryo Hayamizu, Kodai Nakashima, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka Paper ID:1678 |
| Friday 6th 02:30 PM-04:30 PM | Datasets and evaluation | LoTE-Animal: A Long Time-span Dataset for Endangered Animal Behavior Understanding Dan Liu, Jin Hou, Shaoli Huang, Jing Liu, Yuxin He, Bochuan Zheng, Jifeng Ning, Jingdong Zhang Paper ID:1818 |
| Friday 6th 02:30 PM-04:30 PM | Datasets and evaluation | Building3D: A Urban-Scale Dataset and Benchmarks for Learning Roof Structures from Point Clouds Ruisheng Wang, Shangfeng Huang, Hongxin Yang Paper ID:5260 |
| Friday 6th 02:30 PM-04:30 PM | Datasets and evaluation | Lecture Presentations Multimodal Dat |