papers with code github

This Python project is open-source on GitHub and available for any anybody, particularly students, to contribute to. Background Citations. 25 Jan 2023. • arXiv: 2210.14267, 2022. Transformer-based Geo-localization in the Wild, Shraman Pramanick (Johns Hopkins University)*; Ewa M Nowara (Meta Reality Labs); Joshua Gleason (Univ of Maryland); Carlos Castillo (Johns Hopkins University); Rama Chellappa (Johns Hopkins University), MODE: Multi-view Omnidirectional Depth Estimation with 360-degree Cameras, Ming Li (NanJing University)*; Xueqian Jin (Nanjing University); Xuejiao Hu (Nanjing University); Jingzhao Dai (Nanjing University); Sidan Du (Nanjing University); Yang Li (NanJing University), NashAE: Disentangling Representations through Adversarial Covariance Minimization, Eric C Yeats (Duke University)*; Frank Liu (Oak Ridge National Lab); David Womble (Oak Ridge National Laboratory); Hai Li (Duke University), Rethinking Confidence Calibration for Failure Prediction, Fei Zhu (Institute of Automation of Chinese Academy of Sciences)*; Zhen Cheng (Institute of Automation of Chinese Academy of Sciences); Xu-Yao Zhang (Institute of Automation of Chinese Academy of Sciences); Cheng-Lin Liu (Institute of Automation of Chinese Academy of Sciences), Colorization for in situ marine plankton images, Guannan Guo (Shenzhen Institute of Advanced Technology ,Chinese Academy of Sciences); Qi Lin (Xiamen University); Tao Chen (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences); Zhenghui Feng (Harbin Institute of Technology, Shenzhen); Zheng Wang (Shenzhen Institutes of Advanced Technology); Jianping Li (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences)*, PIP: Physical Interaction Prediction via Mental Simulation with Span Selection, Jiafei Duan (University of Washington, Seattle)*; Samson Yu (Agency for Science, Technology and Research); Soujanya Poria (Singapore University of Technology and Design); Bihan Wen (Nanyang Technological University); Cheston Tan (Institute for Infocomm Research, Singapore), Generator Knows What Discriminator Should Learn in Unconditional GANs, Gayoung Lee (NAVER AI Lab)*; Hyunsu Kim (NAVER AI Lab); Junho Kim (NAVER AI Lab); Seonghyeon Kim (Clova AI Research, NAVER Corp.); Jung-Woo Ha (NAVER CLOVA AI Lab); Yunjey Choi (NAVER AI Lab), A Gyrovector Space Approach for Symmetric Positive Semi-definite Matrix Learning, Compositional Visual Generation with Composable Diffusion Models, Nan Liu (University of Illinois at Urbana-Champaign); Shuang Li (MIT); Yilun Du (MIT)*; Antonio Torralba (MIT); Joshua Tenenbaum (MIT), Temporal and cross-modal attention for audio-visual zero-shot learning, Otniel-Bogdan Mercea (University of Tübingen)*; Thomas Hummel (University of Tübingen); A. Sophia Koepke (University of Tübingen); Zeynep Akata (University of Tübingen), Zhenqiang Ying (The University of Texas at Austin)*; Deepti Ghadiyaram (Facebook); Alan Bovik (University of Texas at Austin), Enhancing Multi-modal Features Using Local Self-attention for 3D Object Detection, hao li (Hikvision Digital Technology Co. Ltd)*; Zehan Zhang (Shanghai Jiao Tong University & Hangzhou Hikvision Digital Technology Co. Ltd); Zhao Xian (Hikvision); yulong wang (Hikvision Digital Technology Co. Ltd); Yuxi Shen (Hikvision); Shiliang Pu (Hikvision Research Institute); Hui Mao (Hangzhou hikvision digital technology Co.,Ltd), Totems: Physical Objects for Verifying Visual Integrity, Jingwei Ma (University of Washington)*; Lucy Chai (MIT); Minyoung Huh (MIT); Tongzhou Wang (MIT); Ser-Nam Lim (Meta AI); Phillip Isola (MIT); Antonio Torralba (MIT), ManiFest: manifold deformation for few-shot image translation, Fabio Pizzati (Inria / Vislab)*; Jean-Francois Lalonde (Université Laval); Raoul de Charette (Inria), 3D Shape Sequence of Human Comparison and Classification using Current and Varifolds, Emery Pierson (Université de Lille)*; Mohamed Daoudi (IMT Lille Douai); Sylvain Arguillere (Institute Camille Jordan), Decouple-and-Sample: Protecting sensitive information in task agnostic data release, Abhishek Singh (MIT)*; Ethan Garza (MIT); Ayush Chopra (MIT); Praneeth Vepakomma (MIT); Vivek Sharma (MIT); Ramesh Raskar (Massachusetts Institute of Technology), Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space, Wenqi Shao (The Chinese University of HongKong)*; Xun Zhao (Tencent Company); Yixiao Ge (Tencent); Zhaoyang Zhang (The Chinese University of Hong Kong); Lei Yang (Tencent); Xiaogang Wang (Chinese University of Hong Kong, Hong Kong); Ying Shan (Tencent); Ping Luo (The University of Hong Kong), Object Detection as Probabilistic Set Prediction, Georg Hess (Chalmers University of Technology)*; Christoffer Petersson (Zenseact); Lennart Svensson (Chalmers University of Technology), k-SALSA: k-anonymous synthetic averaging of retinal images via local style alignment, Minkyu Jeon (Korea University)*; Hyeonjin Park (Korea university); Hyunwoo J Kim (Korea University); Michael G Morley (Ophthalmic Consultants fo Boston); Hyunghoon Cho (Broad Institute of MIT and Harvard), Uncertainty-guided Source-free Domain Adaptation, Subhankar Roy (University of Trento)*; Martin Trapp (Aalto University ); Andrea Pilzer (Aalto University); Juho Kannala (Aalto University, Finland); Nicu Sebe (University of Trento); Elisa Ricci (University of Trento); Arno Solin (Aalto University), Mingjun Zhao (University of Alberta)*; Shan Lu (University of Alberta); Zixuan Wang (Tencent Inc.); Xiaoli Wang (Tencent); Di Niu (University of Alberta), Weakly-Supervised Temporal Action Detection for Fine-Grained Videos with Hierarchical Atomic Actions, Zhi Li (University of California, Berkeley)*; Lu He (Tencent America); Huijuan Xu (Pennsylvania State University), Geometric Features Informed Multi-person Human-object Interaction Recognition in Videos, Tanqiu Qiao (Durham University); Qianhui Men (University of Oxford); Frederick W. B. Li (University of Durham); Yoshiki Kubotani (Waseda University); Shigeo Morishima (Waseda Research Institute for Science and Engineering); Hubert P. H. Shum (Durham University)*, FEAR: Fast, Efficient, Accurate and Robust Visual Tracker, Vasyl Borsuk (Ukrainian Catholic University); Roman Vei (Ukrainian Catholic University); Orest Kupyn (Ukrainian Catholic University); Tetiana Martyniuk (Ukrainian Catholic University)*; Igor Krashenyi (Piñata Farms); Jiri Matas (CMP CTU FEE), Variance-Aware Weight Initializationfor Point Convolutional Neural Networks, Pedro Hermosilla Casajus (Ulm University)*; Michael Schelling (Ulm University – Institute of Media Informatics); Tobias Ritschel (UCL); Timo Ropinski (Ulm University), Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training, Haoxuan You (Columbia University)*; Luowei Zhou (Microsoft); Bin Xiao (Microsoft); Noel C Codella (Microsoft); Yu Cheng (Microsoft Research); Ruochen Xu (Microsoft); Shih-Fu Chang (Columbia University); Lu Yuan (Microsoft), Single-Stream Multi-Level Alignment for Vision-Language Pretraining, Zaid Khan (Northeastern University)*; Vijay Kumar B G (NEC Laboratories America); Xiang Yu (NEC Labs); Samuel Schulter (NEC Laboratories America); Manmohan Chandraker (UC San Diego); YUN FU (Northeastern University), Revisiting Outer Optimization in Adversarial Training, Ali Dabouei (West Virginia university)*; Fariborz Taherkhani (Carnegie Mellon University); Sobhan Soleymani (West Virginia University); Nasser Nasrabadi (West Virginia University), Supervised Attribute Information Removal and Reconstruction for Image Manipulation, Nannan Li (Boston University)*; Bryan Plummer (Boston University), Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification, Jianxiong Shen (IRI, CSIC-UPC)*; Antonio Agudo (Institut de Robotica i Informatica Industrial, CSIC-UPC); Francesc Moreno (IRI); Adria Ruiz (Seedtag), BLT: Bidirectional Layout Transformer for Controllable Layout Generation, Xiang Kong (Carnegie Mellon University)*; Lu Jiang (Google Research); Huiwen Chang (Google); Han Zhang (Google); Yuan Hao (Google); Haifeng Gong (Google Inc.); Irfan Essa (Google), Neural Correspondence Field for Object Pose Estimation, Lin Huang (University at Buffalo); Tomas Hodan (Facebook Reality Labs)*; Lingni Ma (Facebook Reality Labs); Linguang Zhang (Facebook Reality Labs); Luan Tran (Facebook); Christopher D Twigg (Meta); PO-CHEN WU (Meta Inc.); Junsong Yuan (“State University of New York at Buffalo, USA”); Cem Keskin (Facebook); Robert Wang (Facebook Reality Labs), The Missing Link: Finding label relations across datasets, Jasper Uijlings (Google Research)*; Thomas Mensink (Google Research); Vittorio Ferrari (Google Research), On Label Granularity and Object Localization, Elijah Cole (Caltech)*; Kimberly Wilber (Google); Grant Van Horn (Cornell University); Xuan Yang (Google); Marco Fornoni (Google); Pietro Perona (California Institute of Technology); Serge Belongie (University of Copenhagen); Andrew Howard (Google); Oisin Mac Aodha (University of Edinburgh), RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-guided Disease Classification, Moinak Bhattacharya (Stony Brook University)*; Shubham Jain (Stony Brook University); Prateek Prasanna (Stony Brook University), OIMNet++: Prototypical Normalization and Localization-aware Learning for Person Search, Sanghoon Lee (Yonsei University); Youngmin Oh (Yonsei University); Donghyeon Baek (Yonsei University); Junghyup Lee (Yonsei University); Bumsub Ham (Yonsei University)*, Most and Least Retrievable Images in Visual-Language Query Systems, Liuwan Zhu (Old Dominion University)*; Rui Ning (Old Dominion University); Jiang Li (Old Dominion University); Chunsheng Xin (Old Dominion University); Hongyi Wu (Univesity of Arizona), Contrasting quadratic assignments for set-based representation learning, Artem Moskalev (University of Amsterdam)*; Ivan Sosnovik (University of Amsterdam); Volker Fischer (Bosch Center for Artificial Intelligence); Arnold W.M. ); Min Shi (Huazhong University of Science and Technology); Shuaiyuan Du (Huazhong Univ. Python To overcome these limitations of DA and DG in handling the Unfamiliar Period during continual domain shift, we propose RaTP, a framework that focuses on improving models' target domain generalization (TDG) capability, while also achieving effective target domain adaptation (TDA) capability right after training on certain domains and forgetting alleviation (FA) capability on past domains. of Sci.&Tech. ECCV 2022 收录列表：https://eccv2022.ecva.net/program/accepted-papers/, 注2：关于往年CV顶会论文以及其他优质CV论文和大盘点，详见： https://github.com/amusi/daily-paper-computer-vision, 如果你想了解最新最优质的的CV论文、开源项目和学习资料，欢迎扫码加入【CVer学术交流群】！互相学习，一起进步~. Should All Proposals be Treated Equally in Object Detection? Notifications. • Machine Learning papers with code, data and models. paperswithcode.com. Language: All Sort: Most stars kahypar / kahypar Star 275 Code Issues Pull requests You can run inference using the high-level pipeline API. Filip Ilic (Graz University of Technology)*; Rick Wildes (York University); Thomas Pock (Graz University of Technology), Detecting Twenty-thousand Classes using Image-level Supervision, Xingyi Zhou (The University of Texas at Austin)*; Rohit Girdhar (Facebook AI Research); Armand Joulin (Facebook AI Research); Philipp Kraehenbuehl (UT Austin); Ishan Misra (Facebook AI Research), DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation, Hongyang Li (South China University of Technology)*; Jiehong Lin (South China University of Technology); Kui Jia (South China University of Technology), Learning Cross-Video Neural Representations for High-Quality Frame Interpolation, Wentao Shangguan (Washington University in St Louis); Yu Sun (Washington University in St. Louis); Weijie Gan (Washington University in St. Louis); Ulugbek S. Kamilov (Washington University in St. Louis)*, Learning Visibility for Robust Dense Human Body Estimation, Chun-Han Yao (University of California at Merced)*; Jimei Yang (Adobe); Duygu Ceylan (Adobe Research); Yi Zhou (Adobe Research); Yang Zhou (Adobe Research); Ming-Hsuan Yang (University of California at Merced), Texturify: Generating Textures on 3D Shape Surfaces, Yawar Siddiqui (Technical University of Munich)*; Justus Thies (Max Planck Institute for Intelligent Systems); Fangchang Ma (Apple Inc.); Qi Shan (Apple Inc.); Matthias Niessner (Technical University of Munich); Angela Dai (Technical University of Munich), Unsupervised Selective Labeling for More Effective Semi-Supervised Learning, Xudong Wang (UC Berkeley / ICSI); Long Lian (UC Berkeley / ICSI); Stella X Yu (UC Berkeley / ICSI)*, Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly, Spencer Whitehead (Meta AI)*; Suzanne Petryk (UC Berkeley); Vedaad Shakib (UC Berkeley); Joseph E Gonzalez (UC Berkeley); Trevor Darrell (UC Berkeley); Anna Rohrbach (UC Berkeley); Marcus Rohrbach (Facebook AI Research), Studying Bias in GANs through the Lens of Race, Vongani H Maluleke (University of California, Berkeley); Neerja Thakkar (University of California, Berkeley)*; Tim Brooks (UC Berkeley); Ethan Weber (UC Berkeley); Trevor Darrell (UC Berkeley); Alexei A Efros (UC Berkeley); Angjoo Kanazawa (University of California Berkeley); Devin Guillory (UC Berkeley), On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond, Yuzhe Yang (MIT)*; Hao Wang (Rutgers University); Dina Katabi (Massachusetts Institute of Technology), Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular Depth, Ziyue Feng (Clemson University)*; Liang Yang (Apple Inc); Longlong Jing (Waymo LLC); Haiyan Wang (The City College of New York); YingLi Tian (City University of New York); Bing Li (Clemson University), Autoregressive 3D Shape Generation via Canonical Mapping, An-Chieh Cheng (National Tsing Hua University); Xueting Li (University of California, Merced); Sifei Liu (NVIDIA)*; Min Sun (NTHU); Ming-Hsuan Yang (University of California at Merced), Learning Continuous Implicit Representation for Near-Periodic Patterns, Bowei Chen (CMU)*; Tiancheng Zhi (ByteDance); Martial Hebert (cmu); Srinivasa Narasimhan (Carnegie Mellon University, USA), Robust Landmark-based Stent Tracking in X-ray Fluoroscopy, Luojie Huang (Johns Hopkins Uniersity); Yikang Liu (United Imaging Intelligence America); Li Chen (University of Washington); Eric Z. Chen (United Imaging Intelligence America); Xiao Chen (United Imaging Intelligence America); Shanhui Sun (United Imaging Intelligence America)*, Depth Field Networks for Generalizable Multi-view Scene Representation, Vitor Guizilini (Toyota Research Institute)*; Igor Vasiljevic (Toyota Research Institute); Jiading Fang (Toyota Technological Institute at Chicago); Rareș A Ambruș (Toyota Research Institute); Greg Shakhnarovich (Toyota Technological Institute at Chicago); Matthew Walter (Toyota Technological Institute at Chicago); Adrien Gaidon (Toyota Research Institute), Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentation, Simone Rossetti (Sapienza University); Damiano Zappia (Deepplants S.r.l. zjunlp/DeepKE )*; Ziming Zhang (Worcester Polytechnic Institute), Revisiting the Critical Factors of Augmentation-Invariant Representation Learning, Junqiang Huang (MEGVII Technology)*; Xiangwen Kong (MEGVII Technology); Xiangyu Zhang (Megvii Technology), A Fast Knowledge Distillation Framework for Visual Recognition, Zhiqiang Shen (Carnegie Mellon University)*; Eric Xing (MBZUAI, CMU, and Petuum Inc.), MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment, Jie Ren (Megvii Inc.); Wenteng Liang (Megvii); Ran Yan (Megvii)*; Luo Mai (University of Edinburgh); Shiwen Liu (Megvii); Xiao Liu (Megvii Inc), Spectrum-aware and Transferable Architecture Search for Hyperspectral Image Restoration, Wei He (Wuhan University)*; Quanming Yao (Tsinghua University); Naoto Yokoya (The University of Tokyo); Tatsumi Uezato (Hitachi, Ltd); Hongyan Zhang (Wuhan University); Liangpei Zhang (Wuhan University), Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks, Xiao Yang (Tsinghua University)*; Yinpeng Dong (Tsinghua University); Tianyu Pang (Sea AI Lab); Hang Su (Tsinghua Univiersity); Jun Zhu (Tsinghua University), Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks, Qianjiang Hu (Peking University); Daizong Liu (Peking University); Wei Hu (Peking University)*, Geometry-aware Single-image Full-body Human Relighting, Chaonan Ji (Tsinghua University); Tao Yu (Tsinghua University); Kaiwen Guo (Google); JINGXIN LIU (OPPO); Yebin Liu (Tsinghua University)*, Optical Flow Training under Limited Label Budget via Active Learning, Shuai Yuan (Duke University)*; Xian Sun (Duke University); Hannah H Kim (Duke University); Shuzhi Yu (Duke University); Carlo Tomasi (Duke University), RVSL: Robust Vehicle Similarity Learning in Real Hazy Scenes Based on Semi-supervised Learning, Wei-Ting Chen (National Taiwan University)*; I-HSIANG CHEN (National Taiwan University); CHIH-YUAN YEH (National Taiwan University); Hao-Hsiang Yang (National Taiwan University); Hua-En Chang (National Taiwan University); Jian-Jiun Ding (National Taiwan University); Sy-Yen Kuo (National Taiwan University), Hierarchical Feature Embedding for Visual Tracking, Zhixiong Pi (Huazhong University of Science and Technology)*; Weitao Wan (Tencent); Chong Sun (Tencent Wechat); Changxin Gao (Huazhong University of Science and Technology); Nong Sang (Huazhong University of Science and Technology); Chen Li (Tencent), Neural Color Operators for Sequential Image Retouching, YILI WANG (Tsinghua University); Xin Li (Baidu); Kun Xu (Tsinghua University)*; Dongliang He (Baidu); Qi Zhang (baidu); Fu Li (Baidu); Errui Ding (Baidu Inc.), Optimizing Image Compression via Joint Learning with Denoising, Ka Leong Cheng (The Hong Kong University of Science and Technology); Yueqi Xie (The Hong Kong University of Science and Technology); Qifeng Chen (HKUST)*, DICE: Leveraging Sparsification for Out-of-Distribution Detection, Yiyou Sun (University of Wisconsin Madison); Yixuan Li (University of Wisconsin-Madison)*, DeMFI: Deep Joint Deblurring and Multi-Frame Interpolation with Flow-Guided Attentive Correlation and Recursive Boosting, Jihyong Oh (KAIST)*; Munchurl Kim (Korea Advanced Institute of Science and Technology), Invariant Feature Learning for Generalized Long-Tailed Classification, Kaihua Tang (Nanyang Technological University)*; Mingyuan Tao (Damo Academy, Alibaba Group); Jiaxin Qi (Nanyang Technological University); Zhenguang Liu (Zhejiang University); Hanwang Zhang (Nanyang Technological University), Christopher L Thomas (Columbia University)*; Yipeng Zhang (Columbia University); Shih-Fu Chang (Columbia University), Zhiqiang Shen (Carnegie Mellon University)*; Zechun Liu (Carnegie Mellon University); Eric Xing (MBZUAI, CMU, and Petuum Inc.), Lightweight Attentional Feature Fusion: A New Baseline for Text-to-Video Retrieval, Fan Hu (Renmin University of China); Aozhu Chen (Renmin University of China); Ziyue Wang (Renmin University of China); Fangming Zhou (Renmin University of China); Jianfeng Dong (Zhejiang Gongshang University); Xirong Li (Renmin University of China)*, Asymmetric Relation Consistency Reasoning for Video Relation Grounding, Huan Li (Xi’an Jiaotong University); Ping Wei (Xi’an Jiaotong University)*; Jiapeng Li (Xi’an Jiaotong University); Zeyu Ma (Xi’an Jiaotong University); Jiahui Shang (Xi’an Jiaotong University); Nanning Zheng (Xi’an Jiaotong University), PETR: Position Embedding Transformation for Multi-View 3D Object Detection, Yingfei Liu (Megvii Technology); Tiancai Wang ( Megvii Technology)*; Xiangyu Zhang (Megvii Technology); Jian Sun (Megvii Technology), Contextual Text Block Detection towards Scene Text Understanding, Chuhui Xue (Nanyang Technological University); Jiaxing Huang (Nanyang Technological University); Wenqing Zhang (ByteDance); Shijian Lu (Nanyang Technological University)*; Changhu Wang (ByteDance.Inc); Song Bai (University of Oxford), Structure-aware Editable Morphable Model for 3D Facial Detail Animation and Manipulation, Jingwang Ling (Tsinghua University); Zhibo Wang (Tsinghua University); Ming Lu (Intel Labs China); Quan Wang (Sensetime); Chen Qian (SenseTime); Feng Xu (Tsinghua University)*, UniNet: Unified Architecture Search with Convolution, Transformer, and MLP, Jihao Liu (Sensetime)*; Xin Huang (Waseda University); Guanglu Song (Sensetime); Hongsheng Li (The Chinese University of Hong Kong); Yu Liu (SenseTime Group LTD), Efficient Decoder-free Object Detection with Transformers, Peixian Chen (Youtu Tencent); mengdan zhang (Youtu, Tencent); Yunhang Shen (Xiamen University); Kekai Sheng (Youtu Lab, Tencent Inc.); Yuting Gao (tencent); Xing Sun (Shopee); Ke Li (Tencent)*; Chunhua Shen (“University of Adelaide, Australia”), Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-Person Human Pose Estimation, William McNally (University of Waterloo)*; Kanav Vats (University of Waterloo); Alexander Wong (University of Waterloo); John McPhee (University of Waterloo), CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation, Lu Qi (The Chinese University of Hong Kong)*; Jason Kuen (Adobe Research); Zhe Lin (Adobe Research); Jiuxiang Gu (Adobe Research); Fengyun Rao (Tencent); Dian Li (Tencent.com); Weidong Guo (Tencent); Zhen Wen (Tencent Technology (Shenzhen) Co., Ltd); Ming-Hsuan Yang (University of California at Merced); Jiaya Jia (Chinese University of Hong Kong), StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning, Jinghuan Shang (Stony Brook University)*; Kumara Kahatapitiya (Stony Brook University); Xiang Li (Stony Brook University); Michael S Ryoo (Stony Brook/Google), S2Net: Stochastic Sequential Pointcloud Forecasting, Xinshuo Weng (NVIDIA Research)*; Junyu Nan (Carnegie Mellon University); Kuan-Hui Lee (Toyota Research Institute); Rowan McAllister (Toyota Research Institute); Adrien Gaidon (Toyota Research Institute); Nicholas Rhinehart (UC Berkeley); Kris Kitani (Carnegie Mellon University), D3Net: A Unified Speaker-Listener Architecture for 3D Dense Captioning and Visual Grounding, Zhenyu Chen (Technical University of Munich)*; Qirui Wu (Simon Fraser University); Matthias Niessner (Technical University of Munich); Angel X Chang (Simon Fraser University), AMixer: Adaptive Weight Mixing for Self-Attention Free Vision Transformers, Yongming Rao (Tsinghua University); Wenliang Zhao (Tsinghua University); Jie Zhou (Tsinghua University); Jiwen Lu (Tsinghua University)*, Neural Image Representations for Multi-Image Fusion and Layer Separation, Seonghyeon Nam (York University); Marcus A Brubaker (York University); Michael S Brown (York University)*, Ruize Han (College of Intelligence and Computing, Tianjin University); Haomin Yan (Tianjin University); Jiacheng Li (College of Intelligence and Computing, Tianjin University); Songmiao Wang (Tianjin University); Wei Feng (College of Intelligence and Computing, Tianjin University, China)*; Song Wang (University of South Carolina), Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution, Yushu Wu (Northeastern University)*; Yifan Gong (Northeastern University); Pu Zhao (Northeastern University); Yanyu Li (Northeastern University); Zheng Zhan (Northeastern University); Wei Niu (William & Mary); Hao Tang (ETH Zurich); Minghai Qin (Western Digital Research); Bin Ren (William & Mary); Yanzhi Wang (Northeastern University), Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation, Zhonghua Wu (Nanyang Technological University)*; Yicheng Wu (Monash University); Guosheng Lin (Nanyang Technological University); Jianfei Cai (Monash University); Chen Qian (SenseTime), Modality Synergy Complement Learning with Cascaded Aggregation for Visible-Infrared Person Re-Identification, Yiyuan Zhang (Beijing Institute of Technology); Sanyuan Zhao (Beijing Institute of Technology )*; Yuhao Kang (Beijing Institute of Technology); Jianbing Shen (Inception Institute of Artificial Intelligence), RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation, Mu He (Nanjing University of Science and Technology)*; Le Hui (Nanjing University of Science and Technology); Yikai Bian (Nanjing University of Science and Technology); Jian Ren (Nanjing University of Science and Technology); Jin Xie (Nanjing University of Science and Technology); Jian Yang (Nanjing University of Science and Technology), MoFaNeRF: Morphable Facial Neural Radiance Field, Yiyu Zhuang (Nanjing University); Hao Zhu (Nanjing University)*; Xusen Sun (Nanjing University); Xun Cao (Nanjing University), Visual Cross-View Metric Localization with Dense Uncertainty Estimates, Zimin Xia (Delft University of Technology)*; Olaf Booij (TomTom); Marco Manfredi (TomTom); Julian F P Kooij (Delft University of Technology), The One Where They Reconstructed 3D Humans and Environments in TV Shows, Georgios Pavlakos (UC Berkeley)*; Ethan Weber (UC Berkeley); Matthew Tancik (UC Berkeley); Angjoo Kanazawa (University of California Berkeley), PointInst3D: Segmenting 3D Instances by Points, Tong He (University of Adelaide)*; Wei Yin (University of Adelaide); Chunhua Shen (“University of Adelaide, Australia”); Anton van den Hengel (University of Adelaide), PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic Segmentation, Haobo Yuan (Wuhan University)*; Xiangtai Li (Peking University); Yibo Yang (Peking University); Guangliang Cheng (Sensetime Group Limited); Jing Zhang (The University of Sydney); Yunhai Tong (Peking University); Lefei Zhang (Wuhan University); Dacheng Tao (JD.com), Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap, Yongwei Chen (South China University of Technology); ZiHao Wang (South China University of Technology); Longkun Zou (South China University of Technology); Ke Chen (South China University of Technology); Kui Jia (South China University of Technology)*, TinyViT: Fast Pretraining Distillation for Small Vision Transformers, Kan Wu (Sun Yat-sen University); Jinnian Zhang (University of Wisconsin Madison); Houwen Peng (Microsoft Research)*; Mengchen Liu (Microsoft); Bin Xiao (Microsoft); Jianlong Fu (Microsoft Research); Lu Yuan (Microsoft), VirtualPose: Learning Generalizable 3D Human Pose Models from Virtual Data, Jiajun Su (Peking University)*; Chunyu Wang (Microsoft Research asia); Xiaoxuan Ma (Peking University); Wenjun Zeng (EIT Institute for Advanced Study); Yizhou Wang (PKU), Poseur: Direct Human Pose Regression with Transformers, Weian Mao (the university of adelaide)*; Yongtao Ge (The University of Adelaide); Chunhua Shen (“University of Adelaide, Australia”); Xinlong Wang (University of Adelaide); Zhi Tian (Meituan); Zhibin Wang (Alibaba Group); Anton van den Hengel (University of Adelaide), Adaptive Image Transformations for Transfer-based Adversarial Attack, Zheng Yuan (Institute of Computing Technology, Chinese Academy of Sciences); Jie Zhang (ICT, CAS)*; Shiguang Shan (Institute of Computing Technology, Chinese Academy of Sciences), D2ADA: Dynamic Density-aware Active Domain Adaptation for Semantic Segmentation, Tsung-Han Wu (National Taiwan University)*; Yi-Syuan Liou (National Taiwan University); Shao-Ji Yuan (National Taiwan University); Hsin-Ying Lee (National Taiwan University); Tung-I Chen (National Taiwan University); Kuan-Chih Huang (National Taiwan University); Winston H. Hsu (National Taiwan University), SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds, Qingyong Hu (University of Oxford); Bo Yang (The Hong Kong Polytechnic University)*; Guangchi Fang (Sun Yat-sen University); Yulan Guo (Sun Yat-sen University); Ales Leonardis (University of Birmingham); Niki Trigoni (University of Oxford); Andrew Markham (University of Oxford), Joshua William Weir (Victoria University of Wellington)*; Junhong Zhao (CMIC); Andrew Chalmers (CMIC); Taehyun Rhee (Victoria University of Wellington), Vector Quantized Image-to-Image Translation, Yu-Jie Chen (National Chiao Tung University); Shin-I Cheng (National Chiao Tung University); Wei-Chen Chiu (National Chiao Tung University)*; Hung-Yu Tseng (Facebook); Hsin-Ying Lee (Snap Inc), PointMixer: MLP-Mixer for Point Cloud Understanding, Jaesung Choe (KAIST)*; Chunghyun Park (POSTECH); Francois Rameau (KAIST); Jaesik Park (POSTECH); In So Kweon (KAIST), V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer, Runsheng Xu (University of California, Los Angeles); Hao Xiang (University of California, Los Angeles); Zhengzhong Tu (University of Texas at Austin); Xin Xia (University of California, Los Angeles); Ming-Hsuan Yang (University of California at Merced); Jiaqi Ma (University of California, Los Angeles)*, Cross-Domain Ensemble Distillation for Domain Generalization, Kyungmoon Lee (POSTECH)*; Sungyeon Kim (POSTECH); Suha Kwak (POSTECH), Cross-Modal 3D Shape Generation and Manipulation, Zezhou Cheng (University of Massachusetts, Amherst)*; Menglei Chai (Snap Inc.); Jian Ren (Snap Inc.); Hsin-Ying Lee (Snap Inc); Kyle B Olszewski (Snap Inc.); Zeng Huang (Snap Inc.); Subhransu Maji (University of Massachusetts, Amherst); Sergey Tulyakov (Snap Inc), Latent Partition Implicit with Surface Codes for 3D Representation, Chao Chen (Tsinghua University); Yu-Shen Liu (Tsinghua University)*; Zhizhong Han (Wayne State University), FILM: Frame Interpolation for Large Motion, Fitsum Reda (Google)*; Janne Kontkanen (Google); Eric Tabellion (Google); Deqing Sun (Google); Caroline Pantofaru (Google Research); Brian Curless (University of Washington), Facial Depth and Normal Estimation using Single Dual-Pixel Camera, Minjun Kang (KAIST)*; Jaesung Choe (KAIST); Hyowon Ha (Facebook); Hae-Gon Jeon (GIST); Sunghoon Im (DGIST); In So Kweon (KAIST); Kuk-Jin Yoon (KAIST), Initialization and Alignment for Adversarial Texture Optimization, Xiaoming Zhao (University of Illinois at Urbana-Champaign)*; Zhizhen Zhao (University of Illinois at Urbana-Champaign); Alexander Schwing (UIUC), Regularizing Vector Embedding in Bottom-Up Human Pose Estimation, Haixin Wang (School of Artificial Intelligence, University of Chinese Academy of Sciences)*; lu zhou (CASIA); Yingying Chen (CASIA); Ming Tang (Institute of Automation, Chinese Academy of Sciences); Jinqiao Wang (Institute of Automation, Chinese Academy of Sciences), Jinwoo Kim (KAIST); Saeyoon Oh (KAIST); Sungjun Cho (LG AI Research); Seunghoon Hong (KAIST)*, Learning Quality-aware Dynamic Memory for Video Object Segmentation, Yong Liu (Tsinghua University)*; Ran Yu (Tsinghua university); Fei Yin (Tsinghua University); Xinyuan Zhao (Huawei); Wei Zhao (Huawei); Weihao Xia (University College London); Yujiu Yang (Tsinghua University), Neural Scene Decoration from a Single Photograph, Hong Wing Pang (The Hong Kong University of Science and Technology)*; Yingshu Chen ( The Hong Kong University of Science and Technology); Phuoc-Hieu T. Le (VinAI Research); Binh-Son Hua (VinAI Research); Thanh Nguyen (Deakin University, Australia); Sai-Kit Yeung (Hong Kong University of Science and Technology), Bottom Up Top Down Detection Transformers for Language Grounding in Images and Point Clouds, Ayush Jain (Carnegie Mellon University)*; Nikolaos Gkanatsios (Carnegie Mellon University); Ishita Mediratta (Meta AI); Katerina Fragkiadaki (Carnegie Mellon University), CIRCLE:Convolutional Implicit Reconstruction and Completion for Large-scale Indoor Scene, Hao-Xiang Chen (Tsinghua University)*; Jiahui Huang (Tsinghua University); Tai-Jiang Mu (Tsinghua University); Shi-Min Hu (Tsinghua University), Jianing Qian (University of Pennsylvania)*; Anastasios Panagopoulos (University of Pennsylvania); Dinesh Jayaraman (University of Pennsylvania), TIDEE: Tidying Up Novel Rooms using Visuo-Semantic Commonsense Priors, Gabriel Sarch (Carnegie Mellon University)*; Zhaoyuan Fang (Carnegie Mellon University); Adam Harley (Carnegie Mellon University); Paul Schydlo (Carnegie Mellon University); Michael J Tarr (Carnegie Mellon University); Saurabh Gupta (UIUC); Katerina Fragkiadaki (Carnegie Mellon University), MOTR: End-to-End Multiple-Object Tracking with TRansformer, Fangao Zeng (Megvii Technology); Bin Dong (Megvii Technology); Yuang Zhang (Shanghai Jiao Tong University); Tiancai Wang ( Megvii Technology)*; Xiangyu Zhang (Megvii Technology); Yichen Wei (Megvii Research Shanghai), K-centered Patch Sampling for Efficient Video Recognition, Seong Hyeon Park (KAIST AI)*; Jihoon Tack (KAIST); Byeongho Heo (NAVER AI LAB); Jung-Woo Ha (NAVER CLOVA AI Lab); Jinwoo Shin (KAIST), Learning Implicit Feature Alignment Function for Semantic Segmentation, Hanzhe Hu (Peking University)*; Yinbo Chen (UC San Diego); Jiarui Xu (University of California San Diego); Shubhankar Borse (Qualcomm AI Research ); Hong Cai (Qualcomm AI Research); Fatih Porikli (Qualcomm AI Research); Xiaolong Wang (UCSD), A Visual Navigation Perspective for Category-Level Object Pose Estimation, Jiaxin Guo (Zhejiang University)*; Yiyi Liao (MPI-IS and University of Tübingen); Zhong Fangxun (CUHK); Rong Xiong (Zhejiang University); Yunhui Liu (CUHK); Yue Wang (Zhejiang University), ScaleNet: Searching for the Model to Scale, Jiyang Xie (Huawei Noah’s Ark Lab); Xiu Su (University of Sydney); Shan You (SenseTime); Zhanyu Ma (Beijing University of Posts and Telecommunications)*; Fei Wang (University of Science and Technology of China); Chen Qian (SenseTime), Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels, Ganlong Zhao (The University of Hong Kong); Guanbin Li (Sun Yat-sen University)*; Yipeng Qin (Cardiff University); Feng Liu (Deepwise AI Lab); Yizhou Yu (The University of Hong Kong), GALA: Toward Geometry-and-Lighting-Aware Object Search for Compositing, Sijie Zhu (University of Central Florida)*; Zhe Lin (Adobe Research); Scott Cohen (Adobe Research); Jason Kuen (Adobe Research); Zhifei Zhang (Adobe Research); Chen Chen (University of Central Florida), FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute Classification, Xiaofeng Lin (University of California – Los Angeles); Seungbae Kim (University of South Florida); Jungseock Joo (University of California Los Angeles)*, Tackling Background Distraction in Video Object Segmentation, Suhwan Cho (Yonsei University)*; Heansung Lee (Yonsei University); Minhyeok Lee ( Yonsei University); Chaewon Park (Yonsei University); Sungjun Jang (Yonsei University); Minjung Kim (Yonsei University); Sangyoun Lee (Yonsei University), Hyperspherical Learning in Multi-Label Classification, Bo Ke (Tencent Youtu Lab)*; yunquan zhu (Tencent YouTu Lab); Mengtian Li (East China Normal University); Xiujun shu (Tencent Toutu Lab); Ruizhi Qiao (Tencent Youtu Lab); Bo Ren (Tencent), The Surprisingly Straightforward Scene Text Removal Method With Gated Attention and Region of Interest Generation: A Comprehensive Prominent Model Analysis, Hyeonsu Lee (Naver Corporation)*; Chankyu Choi (Naver Corporation), FingerprintNet: Synthesized Fingerprints for Generated Image Detection, Yonghyun Jeong (NAVER CLOVA)*; Doyeon Kim (Line+); Youngmin Ro (Samsung SDS); pyounggeon kim (SDS); Jongwon Choi (Chung-Ang University), ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild, Wang Zhao (Tsinghua University)*; Shaohui Liu (ETH Zurich); Hengkai Guo (ByteDance AI Lab); Wenping Wang (The University of Hong Kong); Yong-Jin Liu (Tsinghua University), Free-Viewpoint RGB-D Human Performance Capture and Rendering, Phong Ha Nguyen (University of Oulu)*; Nikolaos Sarafianos (Facebook Reality Labs); Christoph Lassner (Meta Reality Labs Research); Janne Heikkila (University of Oulu, Finland); Tony Tung (Facebook), When Active Learning Meets Implicit Semantic Data Augmentation, zhuangzhuang chen (shenzhen university); Jin Zhang (Shenzhen University); Pan Wang (Shenzhen University); Jie Chen (Shenzhen University); Jianqiang Li (Shenzhen University)*, Multiview Regenerative Morphing with Dual Flows, Chih-Jung Tsai (National Tsing Hua University); Cheng Sun (National Tsing Hua University); Hwann-Tzong Chen (National Tsing Hua University)*, Frequency and Spatial Dual Guidance for Image Dehazing, Hu Yu (University of Science and Technology of China); Naishan Zheng (University of Science and Technology of China); man zhou (University of Science and Technology of China); Jie Huang (University of Science and Technology of China); Zeyu Xiao (University of Science and Technology of China); Feng Zhao (University of Science and Technology of China)*, The Anatomy of Video Editing: A Dataset and Benchmark Suite for AI-Assisted Video Editing, Dawit Mureja Argaw (KAIST)*; Fabian Caba (Adobe Research); Joon-Young Lee (Adobe Research); Markus Woodson (Adobe); In So Kweon (KAIST), Tim Brooks (UC Berkeley)*; Alexei A Efros (UC Berkeley), Faster VoxelPose: Real-time 3D Human Pose Estimation by Orthographic Projection, Hang Ye (Peking University); Wentao Zhu (Peking University)*; Chunyu Wang (Microsoft Research asia); Rujie Wu (Peking University); Yizhou Wang (PKU), Video Interpolation by Event-driven Anisotropic Adjustment of Optical Flow, Song Wu (Huawei Technologies Co., Ltd.); Kaichao You (Tsinghua Univ); Weihua He (Tsinghua University)*; Chen Yang (Peking University); Yang Tian (Tsinghua University); Yaoyuan Wang (Huawei Technologies Co., Ltd.); Jianxing Liao (HUAWEI TECHNOLOGIES CO.LTD); Ziyang Zhang (HUAWEI TECHNOLOGIES CO.LTD), Motion and Appearance Adaptation for Cross-Domain Motion Transfer, Borun Xu (University of Electronic Science and Technology of China)*; Biao Wang (Alibaba Group); Jinhong Deng (University of Electronic Science and Technology of China); Jiale Tao (University of Electronic Science and Technology of China); Tiezheng Ge (Alibaba Group); Yuning Jiang (Alibaba Group); Wen Li (University of Electronic Science and Technology of China); Lixin Duan (University of Electronic Science and Technology of China), AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets, Zhijun Tu (Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong university)*; Xinghao Chen (Huawei Noah’s Ark Lab); Pengju Ren (Institute of Artificial Intelligence at Xi’an Jiaotong University); Yunhe Wang (Huawei Technologies), Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation, Abduallah A Mohamed (Meta)*; Deyao Zhu (King Abdullah University of Science and Technology); Warren Vu (The University of Texas at Austin); Mohamed Elhoseiny (KAUST); Christian Claudel (The university of Texas at Austin), A Generalized & Robust Framework For Timestamp Supervision in Temporal Action Segmentation, Rahul Rahaman (National University of Singapore)*; Dipika Singhania (National University of Singapore); Alex Thiery (National University of Singapore); Angela Yao (National University of Singapore), Guy Erez (Ben Gurion University)*; Ron A Shapira Weber (Ben-Gurion University); Oren Freifeld (Ben-Gurion University), DLME: Deep Local-flatness Manifold Embedding, Zelin Zang (Zhejiang University & Westlake University)*; Siyuan Li (Westlake University); di wu (Westlake University); Ge Wang (Westlake University); Kai Wang (National University of Singapore); Lei Shang (Alibaba Group); Baigui Sun (Alibaba Group); Hao Li (Alibaba Group); Stan Z. Li (Westlake University), Neural Video Compression using GANs for Detail Synthesis and Propagation, Fabian Mentzer (Google)*; Eirikur Agustsson (Google); Johannes Ballé (Google); David Minnen (Google Inc.); Nick Johnston (Google); George Toderici (Google Research), Few-shot Action Recognition with Hierarchical Matching and Contrastive Learning, Sipeng Zheng (Renmin University of China)*; Shizhe Chen (INRIA); Qin Jin (Renmin University of China), Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation, Yinlin Hu (EPFL)*; Pascal Fua (EPFL, Switzerland); Mathieu Salzmann (EPFL), TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual Information, Suraj Kothawade (UT Dallas)*; Saikat Ghosh (University of Texas at Dallas); Sumit Shekhar (Adobe Research); Yu Xiang (The University of Texas at Dallas); Rishabh Iyer (University of Texas at Dallas), New Datasets and Models for Contextual Reasoning in Visual Dialog, Yifeng Zhang (University of Minnesota, Twin Cities); Ming Jiang (University of Minnesota); Qi Zhao (University of Minnesota)*, Remote Respiration Monitoring of Moving Person Using Radio Signals, Jae-Ho Choi (Pohang University of Science and Technology)*; KIBONG KANG (POSTECH); Kyung-Tae Kim (Pohang University of Science and Technology), AdvDO: Realistic Adversarial Attacks for Trajectory Prediction, Yulong Cao (University of Michigan, Ann Arbor )*; Chaowei Xiao (NVIDIA); Anima Anandkumar (NVIDIA/Caltech); Danfei Xu (Stanford University); Marco Pavone (Stanford University), Cross-Modality Transformer for Visible-Infrared Person Re-Identification, Kongzhu Jiang (University of Science and Technology of China)*; Tianzhu Zhang (University of Science and Technology of China); Xiang Liu (Dongguan University of Technology); Bingqiao Qian (University of Science and Technology of China); Yongdong Zhang (University of Science and Technology of China); Feng Wu (University of Science and Technology of China), VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition, Changyao Tian (Chinese University of Hong Kong); Wenhai Wang (Nanjing University); Xizhou Zhu (SenseTime); Jifeng Dai (SenseTime)*; Yu Qiao (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences), Elad Amrani (IBM / Technion)*; Leonid Karlinsky (IBM-Research); Alex Bronstein (Technion), DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction, Kaichen Zhou (University of Oxford)*; Lanqing Hong (Huawei Noah’s Ark Lab); Changhao Chen (National University of Defense Technology); Hang Xu (Huawei Noah’s Ark Lab); Chaoqiang Ye (Huawei); Qingyong Hu (University of Oxford); Zhenguo Li (Huawei Noah’s Ark Lab), Bayesian Optimization with Clustering and Rollback for CNN Auto Pruning, Hanwei FAN (HKUST)*; Jiandong MU (HKUST); Wei Zhang (Hong Kong University of Science and Technology), Towards Real-World HDRTV Reconstruction: A Data Synthesis-based Approach, Zhen Cheng (University of Science and Technology of China)*; Tao Wang (Huawei Noah’s Ark Lab); Yong Li (Huawei Noah’s Ark Lab); Fenglong Song (Huawei Noah’s Ark Lab); Chang Chen (Huawei Noah’s Ark Lab); Zhiwei Xiong (University of Science and Technology of China), Federica Arrigoni (University of Trento)*; Willi Menapace (University of Trento); Marcel Seelbach Benkner (University of Siegen); Elisa Ricci (University of Trento); Vladislav Golyanik (MPI for Informatics), Open-world Semantic Segmentation via Contrasting and Clustering Vision-language Embedding, Quande Liu (The Chinese University of Hong Kong)*; Youpeng Wen (Dalian University of Technology); Jianhua Han (Huawei Noah’s Ark Lab); Chunjing Xu (Huawei Noah’s Ark Lab); Hang Xu (Huawei Noah’s Ark Lab); Xiaodan Liang (Sun Yat-sen University), Custom Structure Preservation in Face Aging, Guillermo Gomez-Trenado (University of Granada)*; Stéphane Lathuilière (Telecom-Paris); Pablo Mesejo (University of Granada); Oscar Cordón García (University of Granada), DANBO: Disentangled Articulated Neural Body Representations via Graph Neural Networks, Shih-Yang Su (University of British Columbia)*; Timur Bagautdinov (Facebook); Helge Rhodin (UBC), Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization, Jiaxin Qi (Nanyang Technological University)*; Kaihua Tang (Nanyang Technological University); Qianru Sun (Singapore Management University); Xian-Sheng Hua (Damo Academy, Alibaba Group); Hanwang Zhang (Nanyang Technological University), Spatio-Temporal Deformable Attention Network for Video Deblurring, Huicong Zhang (Harbin Institute of Technology)*; Haozhe Xie (Tencent AI Lab); Hongxun Yao (Harbin Institute of Technology), CHORE: Contact, Human and Object REconstruction from a single RGB image, Xianghui Xie (Saarland University )*; Bharat Lal Bhatnagar (University of Tübingen, MPI informatik); Gerard Pons-Moll (University of Tübingen), Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction, Vincent LE GUEN (EDF R&D, CNAM)*; Clément Rambour (Cnam); Nicolas Thome (CNAM, Paris), Learning Discriminative Shrinkage Deep Networks for Image Deconvolution, Pin-Hung Kuo (National Taiwan University)*; Jinshan Pan (Nanjing University of Science and Technology); Shao-Yi Chien (National Taiwan University); Ming-Hsuan Yang (University of California at Merced), Camera Pose Estimation and Localization with Active Audio Sensing, Karren D Yang (MIT); Michael Firman (Niantic); Eric Brachmann (Niantic)*; Clement LJC Godard (Niantic), Learning Efficient Multi-Agent Cooperative Visual Exploration, Chao Yu (Tsinghua University); Xinyi Yang (Tinghua University)*; Jiaxuan Gao (Tsinghua University); Huazhong Yang (Tsinghua University); Yu Wang (Tsinghua University); Yi Wu (Tsinghua University), 4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding, Yujin Chen (Technical University of Munich)*; Matthias Niessner (Technical University of Munich); Angela Dai (Technical University of Munich), Learned Vertex Descent: A New Direction for 3D Human Model Fitting, Enric Corona (IRI)*; Gerard Pons-Moll (University of Tübingen); Guillem Alenyà (IRI); Francesc Moreno (IRI), Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection, Gaoang Wang (Zhejiang University); Yibing Zhan (JD Explore Academy); Xinchao Wang (National University of Singapore); Mingli Song (Zhejiang University)*; Klara Nahrstedt (University of Illinois at Urbana-Champaign), Vasileios Choutas (ETH Zurich)*; Federica Bogo (Meta); Jingjing Shen (Microsoft); Julien Valentin (Microsoft), Few-Shot Classification with Contrastive Learning, Zhanyuan Yang (Shenzhen University); Jinghua Wang (Harbin Institute of Technology); Yingying Zhu (Shenzhen University)*, Bohong Chen (Xiamen University)*; Mingbao Lin (Xiamen University, China); Kekai Sheng (Youtu Lab, Tencent Inc.); mengdan zhang (Youtu, Tencent); Peixian Chen (Youtu Tencent); Ke Li (Tencent); Liujuan Cao (Xiamen University); Rongrong Ji (Xiamen University, China), Siyuan Li (ETH Zurich)*; Martin Danelljan (ETH Zurich); Henghui Ding (ETH Zurich); Thomas E Huang (ETH Zürich); Fisher Yu (ETH Zurich), Learning Self-prior for Mesh Denoising using Dual Graph Convolutional Networks, Shota Hattori (The University of Tokyo)*; Tatsuya Yatagawa (The University of Tokyo); Yutaka Ohtake (The University of Tokyo); Suzuki Hiromasa (The University of Tokyo), Few Zero Level Set-Shot Learning of Shape Signed Distance Functions in Feature Space, Amine Ouasfi (IMT Atlantique ); Adnane Boukhayma (Inria)*, Attention-aware Learning for Hyperparameters Prediction in Image Processing Pipelines, Haina Qin (University of Chinese Academy of Sciences); Longfei Han (Beijing Technology and Business University); Juan Wang (Institute of Automation, Chinese Academy of Sciences); Congxuan Zhang (Nanchang Hangkong University); Bing Li (National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences)*; Weiming Hu (Institute of Automation，Chinese Academy of Sciences); Yanwei Li (Zeku Technology(Shanghai) Corp.,Ltd.

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