Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Hopelijk zijn dit soort leuke AI tooltjes binnenkort ook gewoon lokaal te draaien, zodat je niet aan die credit systemen vast zit. Maar "een grote impact" nee. haha!, nee dat ziet er niet uit. H. Curien), Deep Semantic Statistics Matching (D2SM) Denoising Network, Kangfu Mei (Johns Hopkins University)*; Vishal Patel (Johns Hopkins University); Rui Huang (The Chinese University of Hong Kong, Shenzhen), Long-tailed Instance Segmentation using Gumbel Optimized Loss, Konstantinos P Alexandridis (University of Liverpool)*; Jiankang Deng (Imperial College London); Anh Nguyen (University of Liverpool); Shan Luo (University of Liverpool), DetMatch: Two Teachers are Better Than One for Joint 2D and 3D Semi-Supervised Object Detection, Jinhyung Park (Carnegie Mellon University)*; Chenfeng Xu (UC Berkeley); Yiyang Zhou (UC Berkeley ); Masayoshi TOMIZUKA (MSC Lab); Wei Zhan (University of California, Berkeley), 3D Scene Inference from Transient Histograms, Sacha Jungerman (University of Wisconsin-Madison)*; Atul N Ingle (University of Wisconsin-Madison); Yin Li (University of Wisconsin-Madison); Mohit Gupta (University of Wisconsin-Madison, USA ), SSBNet: Improving Visual Recognition Efficiency by Adaptive Sampling, Ho Man Kwan (The Hong Kong University of Science and Technology)*; S.H. Qunjie Zhou (Technical University of Munich)*; Srgio Agostinho (Institute for Systems and Robotics, Instituto Superior Tcnico, Universidade de Lisboa); Aljosa Osep (TUM Munich); Laura Leal-Taix (TUM), Webly Supervised Concept Expansion for General Purpose Vision Models, Amita Kamath (Allen Institute for Artificial Intelligence); Christopher A Clark (Allen Institute for AI)*; Tanmay Gupta (Allen Institute for Artificial Intelligence); Eric Kolve (Allen AI); Derek Hoiem (University of Illinois at Urbana-Champaign); Aniruddha Kembhavi (Allen Institute for Artificial Intelligence), Compositional Human-Scene Interaction Synthesis with Semantic Control, Kaifeng Zhao (ETH Zurich)*; Shaofei wang (ETH Zurich); Yan Zhang (ETH Zurich); Thabo Beeler (Disney Research | Studios); Siyu Tang (ETH Zurich), MaCLR: Motion-aware Contrastive Learning of Representations for Videos, Fanyi Xiao (Meta); Joseph Tighe (Amazon); Davide Modolo (Amazon)*, Transformers as Meta-Learners for Implicit Neural Representations, Yinbo Chen (UC San Diego)*; Xiaolong Wang (UCSD), RAWtoBit: A Fully End-to-end Camera ISP Network, Wooseok Jeong (Korea University); Seung-Won Jung (Korea University)*, SpatialDETR: Robust Scalable Transformer-Based 3D Object Detection from Multi-View Camera Images with Global Cross-Sensor Attention, Simon Doll (University of Tbingen)*; Richard Schulz (Mercedes Benz); Lukas Schneider (Daimer); Viviane Benzin (Mercedes-Benz AG); Markus Enzweiler (Esslingen University of Applied Sciences); Hendrik P. A. Lensch (University of Tbingen), 3D Face Reconstruction with Dense Landmarks, Erroll Wood (Microsoft)*; Tadas Baltrusaitis (Microsoft); Charlie Hewitt (Microsoft); Matthew A Johnson (Microsoft); Jingjing Shen (Microsoft); Nikola Milosavljevic (Microsoft); Daniel S Wilde (Microsoft); Stephan J Garbin (University College London); Toby Sharp (Microsoft); Ivan Stojiljkovic (Microsoft); Tom Cashman (Microsoft); Julien Valentin (Microsoft), SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds, Pei Sun (Waymo)*; Mingxing Tan (Waymo); Weiyue Wang (Waymo); Chenxi Liu (Waymo); Fei Xia (Waymo); Zhaoqi Leng (Waymo); Dragomir Anguelov (Waymo), Incomplete Multi-view Domain Adaptation via Channel Enhancement and Knowledge Transfer, Haifeng Xia (Tulane University)*; Pu Wang (MERL); Zhengming Ding (Tulane University), Exposure-Aware Dynamic Weighted Learning for Single-Shot HDR Imaging, An Gia Vien (Dongguk University); Chul Lee (Dongguk University)*, Seeing through a Black Box: Toward High-Quality Terahertz Imaging via Subspace-and-Attention Guided Restoration, Weng-Tai Su (National Tsing Hua University); Yi-Chun Hung (University of California, Los Angeles); Po-Jen Yu (National Tsing Hua University); Shang-Hua Yang (National Tsing Hua University); Chia-Wen Lin (National Tsing Hua University)*, SPViT: Enabling Faster Vision Transformers via Soft Token Pruning, Zhenglun Kong (Northeastern University)*; Peiyan Dong (Northeastern University); Xiaolong Ma (Clemson University); Xin Meng (Peking university); Wei Niu (William & Mary); Mengshu Sun (Northeastern University); Xuan Shen (Northeastern University); Geng Yuan (Northeastern University); Bin Ren (William & Mary); Hao Tang (ETH Zurich); Minghai Qin (Western Digital Research); Yanzhi Wang (Northeastern University), Soft Masking for Cost-Constrained Channel Pruning, Ryan Humble (Stanford University)*; Maying Shen (NVIDIA); Jorge Albericio Latorre (NVIDIA); Eric Darve (Stanford University); Jose M. Alvarez (NVIDIA), Ensemble Learning Priors Driven Deep Unfolding forScalable Snapshot Compressive Imaging, Chengshuai Yang (Westlake University)*; Shiyu Zhang (Westlake University); Xin Yuan (Westlake University), A Simple Baseline for Open Vocabulary Semantic Segmentation with Pre-trained Vision-language Model, Mengde Xu (Huazhong University of Science and Tech. 'Midjourney' is a new artificial intelligence (AI)-powered art generation platform that requires only a text prompt from a user. Stack. De jurisprudentie is keihard : auteursrecht bestaat alleen op werk dat door mensen is gemaakt. IsoFree. Some of the most common options include cobblestone, bluestone, travertine, flagstone , limestone, and granite. If nothing happens, download GitHub Desktop and try again. Find My Store. Xinyi Wu (University of South Carolina); Zhenyao Wu (University of South Carolina)*; Jin Wan (Beijing Jiaotong University); Lili Ju (University of South Carolina); Song Wang (University of South Carolina), GIMO: Gaze-Informed Human Motion Prediction in Context, Yang Zheng (Tsinghua University); Yanchao Yang (Stanford University)*; Kaichun Mo (Stanford); Jiaman Li (University of Southern California); Tao Yu (Tsinghua University); Yebin Liu (Tsinghua University); Karen Liu (Stanford); Leonidas Guibas (Stanford University), Error Compensation Framework for Flow-Guided Video Inpainting, Jaeyeon Kang (Yonsei University); Seoung Wug Oh (Adobe Research); Seon Joo Kim (Yonsei University)*, Decomposing The Tangent of Occluding Boundaries According to Curvatures and Torsions, Huizong Yang (Georgia Institute of Technology)*; Anthony Yezzi (Georgia Institute of Technology), CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN Execution, Taeho Kim (University of Colorado at Boulder)*; Yongin Kwon (Electronics and Telecommunications Research Institute); Jemin Lee (Electronics and Telecommunications Research Institute); Taeho Kim (Electronics and Telecommunications Research Institute); Sangtae Ha (University of Colorado at Boulder), Scraping Textures from Natural Images for Synthesis and Editing, Xueting Li (University of California, Merced)*; Xiaolong Wang (UCSD); Ming-Hsuan Yang (University of California at Merced); Alexei A Efros (UC Berkeley); Sifei Liu (NVIDIA), Self-supervised Learning of Visual Graph Matching, Chang Liu (Shanghai Jiao Tong University); Shaofeng Zhang (Shanghai Jiao Tong University); Xiaokang Yang (Shanghai Jiao Tong University of China); Junchi Yan (Shanghai Jiao Tong University)*, Disentangling Architecture and Training for Optical Flow, Deqing Sun (Google)*; Charles Herrmann (Google); Fitsum Reda (Google); Michael Rubinstein (Google); David J Fleet (University of Toronto); William T Freeman (Google), PointFix: Learning to Fix Domain Bias for Robust Online Stereo Adaptation, Kwonyoung Kim (Yonsei University); JungIn Park (Yonsei University); Jiyoung Lee (NAVER AI Lab); Dongbo Min (Ewha Womans University); Kwanghoon Sohn (Yonsei Univ. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. It is the communication medium for AI art generators, also known as machine learning models. Polyurethane HD Tintable White, Gloss Solid Concrete Stain and Sealer Ready-to-use (1-Gallon) Model # PU-0406. Alle rechten voorbehouden 1998 - 2022 Kung (Harvard University), Local Color Distributions Prior for Image Enhancement, Haoyuan Wang (City University of Hong Kong)*; Ke Xu (City University of Hong Kong); Rynson W.H. Created by Somnai, augmented by Gandamu, and building on the work of IsoFree. Polyurethane HD Tintable White, Gloss Solid Concrete Stain and Sealer Ready-to-use (1-Gallon) Model # PU-0406. Ik ben zelf een groot fan van Stable Diffusion; open source en gratis. ); Wei Zhang (Baidu Inc); Xiangru Lin (Baidu Inc.); Yingying Li (Baidu); Xiao Tan (Baidu Inc.); Jingdong Wang (Baidu); Errui Ding (Baidu Inc.), Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction, Xiaoning Sun (Nanjing University of Science and Technology)*; Qiongjie Cui (Nanjing University of Science and Technology); Huaijiang Sun (Nanjing University of Science and Technology); Bin Li (Tianjin AiForward Science and Technology); Weiqing Li (Nanjing University of Science and Technology); Jianfeng Lu (Nanjing University of Science and Technology), Towards Hard-Positive Query Mining for DETR-based Human-Object Interaction Detection, Xubin Zhong (South China University of Technology); Changxing Ding (South China University of Technology)*; Zijian Li (South China University of Technology); Shaoli Huang (Tencent AI-Lab), Learning Extremely Lightweight and Robust Model with Differentiable Constraints on Sparsity and Condition Number, Xian Wei (East China Normal University); Yangyu Xu (Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences;University of Chinese Academy of Sciences); yanhui huang (Fuzhou University); Hairong Lv (Tsinghua University); Hai Lan (Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences); Mingsong Chen (East China Normal University); XUAN TANG (East China Normal University)*, Structural Triangulation: A Closed-Form Solution to Constrained 3D Human Pose Estimation, Zhuo Chen (Shanghai Jiao Tong University)*; Xu Zhao (Shanghai Jiao Tong University); Xiaoyue Wan (Shanghai Jiao Tong University), Zixing Lei (Shanghai Jiao Tong University)*; Shunli Ren (Shanghai Jiao Tong University); Yue Hu (Shanghai Jiao Tong University); Wenjun Zhang (Shanghai Jiao Tong University); Siheng Chen (Shanghai Jiao Tong University), Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection, Xin Li (East China Normal University)*; Botian Shi (Shanghai AI Lab); Yuenan HOU (Shanghai AI Lab); Xingjiao Wu ( East China Normal University); Tianlong Ma (East China Normal University); Yikang Li (Shanghai AI Lab); Liang He (ECNU), Unfolded Deep Kernel Estimation for Blind Image Super-resolution, Hongyi Zheng (The Hong Kong Polytechnic University); Hongwei Yong (The Hong Kong Polytechnic University); Lei Zhang (Hong Kong Polytechnic University, Hong Kong, China)*, Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning, Xingping Dong (Inception Institute of Artificial Intelligence)*; Jianbing Shen (Inception Institute of Artificial Intelligence); Ling Shao (Terminus Group), Continual Semantic Segmentation via Structure Preserving and Projected Feature Alignment, Zihan Lin (University of Science and Technology of China); Zilei Wang (University of Science and Technology of China)*; Yixin Zhang (University of Science and Technology of China), SC-wLS: Towards Interpretable Feed-forward Camera Re-localization, Xin Wu (Peking University)*; Hao Zhao (Intel Labs China); Shunkai Li (Peking University); Yingdian Cao (Peking University); Hongbin Zha (Peking University, China), Weakly-Supervised Stitching Network for Real-World Panoramic Image Generation, Dae-Young Song (Chungnam National University); Geonsoo Lee (Chungnam National University); HeeKyung Lee (ETRI(Electronics and Telecommunications Reseach Institute)); Gi-Mun Um (ETRI(Electronics and Telecommunications Research Institute)); Donghyeon Cho (Chungnam National University)*, FloatingFusion: Depth from ToF and Image-stabilized Stereo Cameras, Andreas Meuleman (KAIST); Hakyeong Kim (KAIST); James Tompkin (Brown University); Min H. Kim (KAIST)*, Dual-Evidential Learning for Weakly-supervised Temporal Action Localization, Mengyuan Chen (Institute of Automation, Chinese Academy of Sciences)*; Junyu Gao (CASIA); Shicai Yang (Hikvision Research Institute); Changsheng Xu (CASIA), DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation, Songhua Liu (National University of Singapore)*; Jingwen Ye (National University of Singapore); Sucheng Ren (South China University of Technology); Xinchao Wang (National University of Singapore), D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restoration, Yuzhi Zhao (City University of Hong Kong)*; Yongzhe Xu (SenseTime Group Limited); Qiong Yan (SenseTime Group Limited); DINGDONG YANG (University of Michigan); Xuehui Wang (Shanghai Jiao Tong University); Lai-Man Po (CITY UNIVERSITY OF HONG KONG), DELTAR: Depth Estimation from a Light-weight ToF Sensor and RGB Image, Yijin Li (Zhejiang University); Yinda Zhang (Google); Xinyang Liu (Zhejiang University); Wenqi Dong (Zhejiang University); Han Zhou (Zhejiang University); Hujun Bao (Zhejiang University); Guofeng Zhang (Zhejiang University); Zhaopeng Cui (Zhejiang University)*, Martin Trimmel (Lund University)*; Mihai Zanfir (Google); Richard I Hartley (google); Cristian Sminchisescu (Google), FrequencyLowCut pooling Plug & Play against Catastrophic Overfitting, Julia Grabinski (University of Siegen)*; Janis Keuper (Fraunhofer); Margret Keuper (University of Mannheim); Steffen Jung (MPII), Interclass Prototype Relation for Few-Shot Segmentation, Multi-Faceted Distillation of Base-Novel Commonality for Few-shot Object Detection, Shuang Wu (Harbin Institute of Technology, Shenzhen); Wenjie Pei (Harbin Institute of Technology, Shenzhen); Dianwen Mei (Harbin Institute of Technology, Shenzhen); Fanglin Chen (Harbin Institute of Technology, Shenzhen); Jiandong Tian (CAS); Guangming Lu ( Harbin Institute of Technology, Shenzhen)*, X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks, Zhaowei Cai (Amazon)*; Gukyeong Kwon (Amazon); Avinash Ravichandran (Amazon); Erhan Bas (Amazon); Zhuowen Tu (UC San Diego); Rahul Bhotika (Amazon); Stefano Soatto (UCLA), Equivariance and Invariance Inductive Bias for Learning from Insufficient Data, Tan Wang (Nanyang Technological University)*; Qianru Sun (Singapore Management University); Sugiri Pranata (Panasonic R&D Center Singapore); Karlekar Jayashree (Panasonic); Hanwang Zhang (Nanyang Technological University), Multimodal Conditional Image Synthesis with Product-of-Experts GANs, Xun Huang (NVIDIA)*; Arun Mallya (NVIDIA); Ting-Chun Wang (NVIDIA); Ming-Yu Liu (NVIDIA), Balancing between Forgetting and Acquisition in Incremental Subpopulation Learning, Mingfu Liang (Northwestern University)*; JIAHUAN ZHOU (Peking University); Wei Wei (Northwestern University); Ying Wu (Northwestern University), Anpei Chen (ShanghaiTech University)*; Zexiang Xu (Adobe Research); Andreas Geiger (University of Tuebingen); Jingyi Yu (Shanghai Tech University); Hao Su (UCSD), PointCLM: A Contrastive Learning-based Framework for Multi-instance Point Cloud Registration, Mingzhi Yuan (Fudan University)*; Zhihao Li (Fudan); Qiuye Jin (Fudan University); Xinrong Chen (Fudan University); Manning Wang (Fudan University), Slim Scissors: Segmenting Thin Object from Synthetic Background, Kunyang Han (Beijing Jiaotong University)*; Jun Hao Liew (ByteDance); Jiashi Feng (ByteDance); Huawei Tian (Peoples Public Security University of China); Yao Zhao (Beijing Jiaotong University); Yunchao Wei (UTS), CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition, Shreyank N Gowda (University of Edinburgh)*; Laura Sevilla-Lara (Facebook); Frank Keller (University of Edinburgh); Marcus Rohrbach (Facebook AI Research), Discovering Human-Object Interaction Concepts via Self-Compositional Learning, Zhi Hou (The University of Sydney)*; Baosheng Yu (The University of Sydney); Dacheng Tao (The University of Sydney), Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance, Chen Tang (Tsinghua University)*; Kai Ouyang (Tsinghua University); Zhi Wang (Tsinghua University); Yifei Zhu (Shanghai Jiao Tong University); Wen Ji (Institute of Computing Technology, Chinese Academy of Sciences); Yaowei Wang (PengCheng Laboratory); Wenwu Zhu (Tsinghua University), TREND: Truncated Generalized Normal Density Estimation of Inception Embeddings for GAN Evaluation, Junghyuk Lee (School of Integrated Technology, Yonsei University); Jong-Seok Lee (Yonsei University, Korea)*, 3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform, Yining Zhao (Tsinghua University); Chao Wen (Bytedance); Zhou Xue (Bytedance); Yue Gao (Tsinghua University)*, Min Jin Chong (Univeristy of Illinois at Urbana-Champaign)*; David Forsyth (Univeristy of Illinois at Urbana-Champaign), Convolutional Embedding Makes Hierarchical Vision Transformer Stronger, Cong Wang (OPPO); Hongmin Xu (OPPO)*; Xiong Zhang (Neolix Autonomous Vehicle); Li Wang (North China University of Technology ); Zhitong Zheng (OPPO); Haifeng Liu (OPPO), Weakly Supervised Object Localization via Transformer with Implicit Spatial Calibration, Haotian Bai (The Chinese University of Hongkong, shenzhen); Ruimao Zhang (The Chinese University of Hong Kong, Shenzhen)*; Jiong WANG (The Chinese University of Hong Kong, Shenzhen); Xiang Wan (Shenzhen Research Institute of Big Data, the Chinese University of Hong Kong (Shenzhen)), Few-shot Class-incremental Learning for 3D Point Cloud Objects, Townim Faisal Chowdhury (North South University); Ali Cheraghian (Australian National University (ANU)); Sameera Chandimal Ramasinghe (Australian National University); Sahar Ahmadi (University of Technology Sydney); Morteza Saberi (University of Technology, Sydney); Shafin Rahman (North South University)*, Learning Graph Neural Networks for Image Style Transfer, Yongcheng Jing (The University of Sydney); Yining Mao (Zhejiang University); Yiding Yang (Wormpex AI Research); Yibing Zhan (JD Explore Academy); Mingli Song (Zhejiang University); Xinchao Wang (National University of Singapore)*; Dacheng Tao (JD.com), JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes, Haimei Zhao (The University of Sydney)*; Jing Zhang (The University of Sydney); Sen Zhang (The University of Sydney); Dacheng Tao (JD.com), Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions, Zhenyi Wang (University at Buffalo)*; Li Shen (JD Explore Academy); Le Fang (University at Buffalo); Qiuling Suo (State University of New York at Buffalo); Donglin Zhan (Columbia University); Tiehang Duan (Facebook); Mingchen Gao (University at Buffalo, SUNY), Semi-supervised 3D Object Detection with Proficient Teachers, Junbo Yin (Beijing Institute of Technology); Jin Fang (Baidu ); Dingfu Zhou (Baidu); Wenguan Wang (Eidgenssische Technische Hochschule Zrich); Liangjun Zhang (baidu); Cheng-Zhong Xu (University of Macau); Jianbing Shen (Inception Institute of Artificial Intelligence)*, NeFSAC: Neurally Filtered Minimal Samples, Luca Cavalli (ETH Zurich)*; Marc Pollefeys (ETH Zurich / Microsoft); Daniel Barath (ETH Zrich), Domain Generalization by Mutual-Information Regularization with Pre-trained Models, Junbum Cha (Kakaobrain)*; Kyungjae Lee (Chung-Ang University); Sungrae Park (Upstage AI Research, Upstage AI); Sanghyuk Chun (NAVER AI Lab), AcroFOD: An Adaptive Method for Cross-domain Few-shot Object Detection, Yipeng Gao (Sun Yat-sen University, China); Lingxiao YANG (Sun-Yat Sen University); Yunmu Huang (Huawei Technologies Co., Ltd.); Song Xie (Huawei Technologies Co., Ltd.); Shiyong Li ( AI Application Research Center, Huawei Technologies Co., Ltd); WEI-SHI ZHENG (Sun Yat-sen University, China)*, Primitive-based Shape Abstraction via Nonparametric Bayesian Inference, Yuwei Wu (National University of Singapore)*; Weixiao Liu (National University of Singapore); Sipu Ruan (National University of Singapore); Gregory S Chirikjian (National University of Singapore), Active label correction using robust parameter update and entropy propagation, E-Graph: Minimal Solution for Rigid Rotation with Extensibility Graphs, Yanyan Li (tum)*; Federico Tombari (Google, TU Munich), Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation, Nadine Behrmann (Bosch Center for Artificial Intelligence)*; S. Alireza Golestaneh (Google); Zico Kolter (Carnegie Mellon University); Jrgen Gall (University of Bonn); Mehdi Noroozi (Bosch Gmb), Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification, Xulin Li (University of Science and Technology of China); Yan Lu (University of Sydney); Bin Liu (University of Science and Technology of China)*; Yating Liu (USTC); Guojun Yin (University of Science and Technology of China); Qi Chu (University of Science and Technology of China); Jinyang Huang (University Of Science And Technology Of China); Feng Zhu (University of Science and Technology of China); Rui Zhao (SenseTime Group Limited); Nenghai Yu (University of Science and Technology of China), A Closer Look at Invariances in Self-supervised Pre-training for 3D Vision, Lanxiao Li (Karlsruher Institut fuer Technologie)*; Michael Heizmann (Karlsruher Institut fuer Technologie), VecGAN: Image-to-Image Translation with Interpretable Latent Directions, Yusuf Dalva (Bilkent University); Said F Altndi (Bilkent University); Aysegul Dundar (Bilkent University)*, SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data, Eldar Insafutdinov (University of Oxford); Dylan Campbell (University of Oxford)*; Joao F Henriques (University of Oxford); Andrea Vedaldi (Oxford University), Three things everyone should know about Vision Transformers, Hugo Touvron (Facebook AI Research)*; Matthieu Cord (Sorbonne University); Alaaeldin M El-Nouby (Facebook AI Research); Jakob Verbeek (Facebook); Herve Jegou (Facebook AI Research), Hugo Touvron (Facebook AI Research)*; Matthieu Cord (Sorbonne University); Herve Jegou (Facebook AI Research), Any-resolution Training for High-resolution Image Synthesis, Lucy Chai (MIT)*; Michal Gharbi (Adobe Research); Eli Shechtman (Adobe Research, US); Phillip Isola (MIT); Richard Zhang (Adobe), HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields, Kim Jun-Seong (POSTECH)*; Kim Yu-Ji (POSTECH); Moon Ye-Bin (POSTECH); Tae-Hyun Oh (POSTECH), PartImageNet: A Large, High-Quality Dataset of Parts, Ju He (Johns Hopkins University)*; Shuo Yang (University of Technology Sydney); Shaokang Yang (ByteDance); Adam Kortylewski (Max Planck Institute for Informatics); Xiaoding Yuan (Johns Hopkins University); Jie-Neng Chen (Johns Hopkins University); shuai liu (ByteDance Inc.); Cheng Yang (ByteDance Inc.); Qihang Yu (Johns Hopkins University); Alan Yuille (Johns Hopkins University), Abstracting Sketches through Simple Primitives, Stephan Alaniz (University of Tbingen)*; Massimiliano Mancini (University of Tbingen); Anjan Dutta (University of Surrey); Diego Marcos (Wageningen University); Zeynep Akata (University of Tbingen), MTTrans: Cross-Domain Object Detection with Mean Teacher Transformer, Jinze Yu (Beihang University); Jiaming Liu (Peking University); Xiaobao Wei (Beihang University); Haoyi Zhou (Beihang University); Yohei Nakata (Panasonic Corporation); Denis A Gudovskiy (Panasonic); Tomoyuki Okuno (Panasonic); Jianxin Li (Beihang University); Kurt Keutzer (UC Berkeley); Shanghang Zhang (University of California, Berkeley)*, TAFIM: Targeted Adversarial Attacks against Facial Image Manipulations, Shivangi Aneja (Technical University Of Munich )*; Lev Markhasin (Sony Europe); Matthias Niessner (Technical University of Munich), NeuMan: Neural Human Radiance Field from a Single Video, Wei Jiang (University of British Columbia)*; Kwang Moo Yi (University of British Columbia); Golnoosh Samei (UBC); Oncel Tuzel (Apple); Anurag Ranjan (Apple), Learning Implicit Templates for Point-Based Clothed Human Modeling, Siyou Lin (Tsinghua University)*; Hongwen Zhang (Tsinghua University); Zerong Zheng (Tsinghua University); Ruizhi Shao (Tsinghua University); Yebin Liu (Tsinghua University), Matthew Dutson (University of Wisconsin-Madison)*; Yin Li (University of Wisconsin-Madison); Mohit Gupta (University of Wisconsin-Madison, USA ), Ayush Chopra (MIT)*; Abhinav Java (Adobe, MDSR Labs); Abhishek Singh (MIT); Vivek Sharma (MIT); Ramesh Raskar (Massachusetts Institute of Technology), ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency Regularization, Jiwon Kim (Korea University)*; Youngjo Min (Korea University); Daehwan Kim (Samsung electro mechanics); Gyuseong Lee (Korea University); Junyoung Seo (Korea University); Kwangrok Ryoo (Korea University); Seungryong Kim (Korea University), Granularity-aware Adaptation for Image Retrieval over Multiple Tasks, Jon Almazan (Naver Labs); Byungsoo Ko (NAVER/LINE Corp.); Geonmo Gu (NAVER corp); Diane Larlus (Naver Labs Europe); Yannis Kalantidis (NAVER LABS Europe)*, EdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision Transformers, Junting Pan (The Chinese University of Hong Kong); Adrian Bulat (Samsung AI Center, Cambridge); Fuwen Tan (Samsung AI Center, Cambridge); Xiatian Zhu (University of Surrey); Lukasz Dudziak (Samsung AI Center Cambridge); Hongsheng Li (The Chinese University of Hong Kong); Georgios Tzimiropoulos (Queen Mary University of London); Brais Martinez (Samsung AI Center)*, Multi-Domain Multi-Definition Landmark Localization for Small Datasets, David Ferman (AI Foundation); Gaurav Bharaj (AI Foundation)*, TAVA: Template-free Animatable Volumetric Actors, Ruilong Li (UC Berkeley)*; Julian Tanke (University of Bonn); Minh P Vo (Facebook Reality Labs); Michael Zollhfer (Facebook Reality Labs); Jrgen Gall (University of Bonn); Angjoo Kanazawa (University of California Berkeley); Christoph Lassner (Meta Reality Labs Research), Chenghao Zhang (National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China)*; Kun Tian (Institute of Automation, Chinese Academy of Sciences); Bolin Ni (Institute of Automation, Chinese Academy of Sciences); Gaofeng Meng (Chinese Academy of Sciences); Bin Fan (University of Science and Technology Beijing); Zhaoxiang Zhang (Chinese Academy of Sciences, China); Chunhong Pan (Institute of Automation, Chinese Academy of Sciences), EASNet:Searching Elastic and Accurate Network Architecture for Stereo Matching, Qiang Wang (Harbin Institute of Technology (Shenzhen))*; Shaohuai Shi (The Hong Kong University of Science and Technology); Kaiyong Zhao (Hong Kong Baptist University); Xiaowen Chu (Hong Kong University of Science and Technology), DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection, Abhinav Kumar (Michigan State University)*; Garrick Brazil (Facebook); Enrique Corona (Ford Motor Company); Armin Parchami (Ford Motor Company); Xiaoming Liu (Michigan State University), RBP-Pose: Residual Bounding Box Projection for Category-Level Pose Estimation, Ruida Zhang (Tsinghua University)*; Yan Di (Technical University of Munich); Zhiqiang Lou (Tsinghua University); Fabian Manhardt (Google); Federico Tombari (Google, TU Munich); Xiangyang Ji (Tsinghua University), Cheng Da (Alibaba DAMO Academy)*; Wang Peng (Alibaba DAMO Academy); Cong Yao (Alibaba DAMO Academy), Multi-Granularity Prediction for Scene Text Recognition, Wang Peng (Alibaba DAMO Academy); Cheng Da (Alibaba DAMO Academy)*; Cong Yao (Alibaba DAMO Academy), MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition, Chuanguang Yang (Institute of Computing Technology, Chinese Academy of Sciences )*; Zhulin An (Institute of Computing Technology, Chinese Academy of Sciences); Helong Zhou (Beijing Horizon Information Technology Co.,Ltd); linhang cai (Institute of Computing Technology, Chinese Academy of Sciences); Xiang Zhi (Institute of Computing Technology, Chinese Academy of Sciences); Jiwen Wu (Institute of Computing Technology, Chinese Academy of Sciences); yongjun xu (Institute of Computing Technology, Chinese Academy of Sciences); Qian Zhang (Horizon Robotics), Switch-BERT: Learning to Model Multimodal Interactions by Switching Attention and Input, Qingpei Guo (Ant Financial Services Group)*; Kaisheng Yao (Amazon); Wei Chu (Ant Group), Efficient Video Transformers with Spatial-temporal Token Selection, Junke Wang (Fudan University)*; Xitong Yang (University of Maryland); Hengduo Li (University of Maryland, College Park ); Li Liu (BirenTech Research); Zuxuan Wu (UMD); Yu-Gang Jiang (Fudan University), DAS: Densely-Anchored Sampling for Deep Metric Learning, Lizhao Liu (South China University of Technology); Shangxin Huang (South China University of Technology); Zhuangwei Zhuang (South China University of Technology); Ran Yang (South China University of Technology); Mingkui Tan (South China University of Technology)*; Yaowei Wang (PengCheng Laboratory), ReCoNet: Recurrent Correction Network for Fast and Efficient Multi-modality Image Fusion, Zhanbo Huang (Dalian University of Technology); Jinyuan Liu (Dalian University of Technology); Xin Fan (Dalian University of Technology)*; Risheng Liu (Dalian University of Technology); Wei Zhong (Dalian University of Technology); Zhongxuan Luo (DALIAN UNIVERSITY OF TECHNOLOGY), RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN, Huy Phan (Rutgers University)*; Cong Shi (Rutgers University); Yi Xie (Rutgers University); Tianfang Zhang (Rutgers University, New Brunswick); Zhuohang Li (University of Tennessee, Knoxville); Tianming Zhao (Temple University); Jian Liu (The University of Tennessee, Knoxville); Yan Wang (Temple University); Yingying Chen (Rutgers University); bo yuan (rutgers university), Point Cloud Compression with Sibling Context and Surface Priors, Zhili CHEN (HKUST); Zian Qian (HKUST); Sukai Wang (HKUST); Qifeng Chen (HKUST)*, Self-Feature Distillation with Uncertainty Modeling for Degraded Image Recognition, zhou yang (Xidian University); Weisheng Dong (Xidian University)*; Xin Li (West Virginia University); Jinjian Wu (Xidian University); Leida Li (Xidian University); Guangming Shi (Xidian University), Point Cloud Compression using Range Image-based Entropy Model for Autonomous Driving, CANF-VC: Conditional Augmented Normalizing Flows for Video Compression, Yung-Han Ho (NCTU); Chih-Peng Chang (National Chiao Tung Univeristy); Peng-Yu Chen (NYCU); Alessandro Gnutti (University of Brescia); Wen-Hsiao Peng (National Yang Ming Chiao Tung University)*, Bi-level Feature Alignment for Versatile Image Translation and Manipulation, Fangneng Zhan (Max Planck Institute for Informatics); Yingchen Yu (Nanyang Technological University); Rongliang WU (Nanyang Technological University); Jiahui Zhang (Nanyang Technological University); Kaiwen Cui (Nanyang Technological University); Aoran Xiao (Nanyang Technological University); Shijian Lu (Nanyang Technological University)*; Chunyan Miao (NTU), Lane Detection Transformer based on Multi-frame Horizontal and Vertical Attention and Visual Transformer Module, Han Zhang (Beihang University)*; Yunchao Gu (BUAA); Xinliang Wang (BUAA); Junjun Pan (Beihang University); Minghui Wang (Beihang University), Label-Guided Auxiliary Training Improves 3D Object Detector, yaomin huang (East China Normal University); Xinmei Liu (East China Normal University)*; Yichen Zhu (Midea Group); Zhiyuan Xu (Midea Group); Chaomin Shen (East China Normal University); Zhengping Che (Midea Group); Guixu Zhang (East China Normal University); Yaxin Peng (Department of Mathematics, School of Science, Shanghai University); Feifei Feng (Midea Grooup); Jian Tang (Midea Group), FedX: Unsupervised Federated Learning with Cross Knowledge Distillation, Sungwon Han (KAIST)*; Sungwon Park (KAIST); Fangzhao Wu (MSRA); Sundong Kim (Institute for Basic Science); Chuhan Wu (Tsinghua University); Xing Xie (Microsoft Research Asia); Meeyoung Cha (Institute for Basic Science), ProposalContrast: Unsupervised Pre-training for LiDAR-based 3D Object Detection, Junbo Yin (Beijing Institute of Technology); Wenguan Wang (Eidgenssische Technische Hochschule Zrich); Dingfu Zhou (Baidu); Jin Fang (Baidu ); Liangjun Zhang (baidu); Cheng-Zhong Xu (University of Macau); Jianbing Shen (Inception Institute of Artificial Intelligence)*, Audio-Driven Stylized Gesture Generation with Flow-Based Model, Sheng Ye (Tsinghua University)*; Yu-Hui Wen (Tsinghua University); Yanan Sun (Tsinghua University); Ying He (Nanyang Technological University); Ziyang Zhang (HUAWEI TECHNOLOGIES CO.LTD); Yaoyuan Wang (Huawei Technologies Co., Ltd.); Weihua He (Tsinghua University); Yong-Jin Liu (Tsinghua University), Unsupervised Domain Adaptation for One-Stage Object Detector using Offsets to Bounding Box, Jayeon Yoo (Seoul National University); Inseop Chung (Seoul National University); Nojun Kwak (Seoul National University)*, Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework, Botao Ye (Institute of Computing Technology, Chinese Academy of Sciences)*; Hong Chang (Chinese Academy of Sciences); Bingpeng MA (University of Chinese Academy of Sciences); Shiguang Shan (Institute of Computing Technology, Chinese Academy of Sciences); Xilin Chen (Institute of Computing Technology, Chinese Academy of Sciences), PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map, Chenfeng Xu (UC Berkeley)*; Tian Li (University of California, San Diego); Chen Tang (UC Berkeley); Lingfeng Sun (UC Berkeley); Kurt Keutzer (EECS, UC Berkeley); Masayoshi TOMIZUKA (MSC Lab); Alireza Fathi (Google); Wei Zhan (University of California, Berkeley), DeepPS2: Revisiting Photometric Stereo using Two Differently Illuminated Images, Ashish Tiwari (Indian Institute of Technology Gandhinagar)*; Shanmuganathan Raman (Indian Institute of Technology (IIT) Gandhinagar), Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition, Yuhang Zhang (Beijing University of Posts and Telecommunicates); Chengrui Wang (Beijing University of Posts and Telecommunications); Xu Ling (Beijing University of Posts and Telecommunications); Weihong Deng (Beijing University of Posts and Telecommunications)*, Joseph K J (Indian Institute of Technology, Hyderabad)*; Sujoy Paul (Google Research); Gaurav Aggarwal (Google); Soma Biswas (Indian Institute of Science, Bangalore); Piyush Rai (IIT Kanpur); Kai Han (The University of Hong Kong); Vineeth N Balasubramanian (Indian Institute of Technology, Hyderabad), Self-Constrained Inference Optimization on Structural Groups for Human Pose Estimation, ZheHan Kan (Southern University of Science and Technology); Shuoshuo Chen (Southern University of Science and Technology); Zeng Li (Southern University of Science and Technology); Zhihai He (Southern University of Science and Technology)*, Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning, Damien Teney (University of Adelaide)*; Maxime Peyrard (EPFL); Ehsan M Abbasnejad (The University of Adelaide), A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning, Michael Kirchhof (University of Tbingen)*; Karsten Roth (University of Tuebingen); Zeynep Akata (University of Tbingen); Enkelejda Kasneci (University of Tuebingen), Daniel Barath (ETH Zrich)*; Zuzana Kukelova (Czech Technical University in Prague), Monocular 3D Object Reconstruction with GAN Inversion, Junzhe Zhang (Nanyang Technological University)*; Daxuan Ren (Nanyang Technological University); Zhongang Cai (SenseTime International Pte Ltd); Chai Kiat Yeo (Nanyang Technological University); Bo Dai (Shanghai AI Lab); Chen Change Loy (Nanyang Technological University), PromptDet: Towards Open-vocabulary Detection using Uncurated Images, Chengjian Feng (Meituan inc.)*; Yujie Zhong (University of Oxford); Zequn Jie (Meituan inc.); Xiangxiang Chu (Meituan); Haibing Ren (Meituan Inc.); Xiaolin Wei (Meituan); Weidi Xie (Shanghai Jiao Tong University); Lin Ma (Meituan), Densely Constrained Depth Estimator for Monocular 3D Object Detection, Yingyan Li (CASIA)*; Yuntao Chen (TuSimple); Jiawei He (Institute of Automation, Chinese Academy of Sciences); Zhaoxiang Zhang (Chinese Academy of Sciences, China), Content Adaptive Latents and Decoder for Neural Image Compression, Guanbo Pan (Beihang University)*; Guo Lu (Beijing Institute of Technology); Zhihao Hu (Beihang University); Dong Xu (The University of Hong Kong), High-Fidelity Image Inpainting with GAN Inversion, Yongsheng YU (University of Chinese Academy of Sciences); Libo Zhang (Institute of Software Chinese Academy of Sciences)*; Heng Fan (University of North Texas); Tiejian Luo (University of Chinese Academy of Sciences), Spatially Invariant Unsupervised 3D Object-Centric Learning and Scene Decomposition, Tianyu Wang (The Australian National University); Miaomiao Liu (The Australian National University)*; Kee Siong Ng (The Australian National University), W2N: Switching From Weak Supervision to Noisy Supervision for Object Detection, Zitong Huang (Harbin Institute of Technology); Yiping Bao (Megvii(Face++) Inc); Bowen Dong (Harbin Institute of Technology); erjin zhou (megvii); Wangmeng Zuo (Harbin Institute of Technology, China)*, UnrealEgo: A New Dataset for Robust Egocentric 3D Human Motion Capture, Hiroyasu Akada (Max Planck Institute for Informatics, Keio University); Jian Wang (Max Planck Institute for Informatics); Soshi Shimada (MPI for Informatics); Masaki Takahashi (Keio University); Christian Theobalt (MPI Informatik); Vladislav Golyanik (MPI for Informatics)*, MotionCLIP: Exposing Human Motion Generation to CLIP Space, Guy Tevet (Tel Aviv University)*; Brian Gordon (Tel Aviv University); Amir Hertz (Tel Aviv University); Amit H Bermano (Tel-Aviv University); Danny Cohen-Or (Tel Aviv University), Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution, Jie Liang (The Hong Kong Polytechnic University)*; Hui Zeng (OPPO); Lei Zhang (Hong Kong Polytechnic University, Hong Kong, China), Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-ahead Forward Ones, Junyi Li (Harbin Institute of Technology); Xiaohe Wu (Harbin Institute of technology); zhenxing niu (Alibaba Group-Machine Intelligence Technology); Wangmeng Zuo (Harbin Institute of Technology, China)*, Map-free Visual Relocalization: Metric Pose Relative to a Single Image, Eduardo Arnold (University of Warwick); Jamie M Wynn (Niantic); Sara Vicente (Niantic); Guillermo Garcia-Hernando (Niantic); Aron Monszpart (Niantic); Victor A Prisacariu (Niantic Labs); Daniyar Turmukhambetov (Niantic); Eric Brachmann (Niantic)*, DeltaGAN: Towards Diverse Few-shot ImageGeneration with Sample-Specific Delta, Yan Hong (Shanghai Jiao Tong University); Li Niu (Shanghai Jiao Tong University)*; Jianfu Zhang (Shanghai Jiao Tong University); Liqing Zhang (Shanghai Jiao Tong University), Sample-Adaptive Augmentation for Long-Tailed Image Classification, Yan Hong (Shanghai Jiao Tong University); Jianfu Zhang (Shanghai Jiao Tong University)*; Zhongyi Sun (Tencent); Ke Yan (Tencent), TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers, Jihao Liu (Sensetime)*; Boxiao Liu (Institute of Computing Technology, Chinese Academy of Sciences); Hang Zhou (The Chinese University of Hong Kong); Hongsheng Li (The Chinese University of Hong Kong); Yu Liu (SenseTime Group LTD), Teng Xi (Baidu Inc.)*; Yifan Sun (Baidu Research); Deli Yu (Baidu Inc. ); Bi Li (Baidu Inc.); Nan Peng (Baidu Inc.); gang zhang (Baidu Inc.); Xinyu Zhang (Baidu Inc.); Zhigang Wang (shanghai AI lab); jinwen chen (Baidu Inc.); Jian Wang (Baidu Inc.); liu lufei (Baidu Inc); Haocheng Feng (Baidu Inc.); Junyu Han (Baidu Inc.); jingtuo liu (baidu); Errui Ding (Baidu Inc.); Jingdong Wang (Baidu), Master of All: Simultaneous Generalization of Urban-Scene Segmentation to All Adverse Weather Conditions, Nikhil Reddy (IIT Delhi)*; Abhinav Singhal (Indian Institute of Technology, Delhi); Abhishek Kumar (IIT Delhi); Mahsa Baktashmotlagh (University of Queensland); Chetan Arora (Indian Institute of Technology Delhi), PalQuant: Accelerating High-precision Networks on Low-precision Accelerators, Qinghao Hu (Institute of Automation, Chinese Academy of Sciences)*; gang li (shanghai jiao tong university); Qiman Wu (Baidu Inc.); Jian Cheng (Chinese Academy of Sciences, China), Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations, Zhilu Zhang (Harbin Institute of Technology); Ruohao Wang (Harbin Institute of Technology); Hongzhi Zhang (Harbin Institute of Technology); Yunjin Chen (ULSee Inc.); Wangmeng Zuo (Harbin Institute of Technology, China)*, UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality Barrier, Yutong Xie (University of Adelaide)*; Jianpeng Zhang (Northwestern Polytechnical University); Yong Xia (Northwestern Polytechnical University, Research & Development Institute of Northwestern Polytechnical University in Shenzhen); Qi Wu (University of Adelaide), Self-distilled Feature Aggregation for Self-supervised Monocular Depth Estimation, Zhengming Zhou (NLPR-IA-CAS); Qiulei Dong (NLPR-IA-CAS)*, Negative Samples are at Large: Leveraging Hard-distance Elastic Loss for Re-identification, Hyungtae Lee (DEVCOM Army Research Laboratory)*; Sungmin Eum (Booz Allen Hamilton Inc.); Heesung Kwon (U.S. Army Research Laboratory), Global-local Motion Transformer for Unsupervised Skeleton-based Action Learning, Boeun Kim (Seoul National University)*; Hyung Jin Chang (University of Birmingham); Jungho Kim (KETI); Jin Young Choi (Seoul National University), Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoiring, Xin Yu (The University of Hong Kong)*; Peng Dai (The University of Hong Kong); Wenbo Li (The Chinese University of Hong Kong); Lan Ma (TCL Corporate Research); Jiajun Shen (TCL Research); Jia Li (Sun Yat-Sen University); Xiaojuan Qi (The University of Hong Kong), Instance Contour Adjustment via Structure-driven CNN, Shuchen Weng (Peking University)*; Yi Wei (Samsung Research America Inc.); Ming-Ching Chang (University at Albany SUNY); Boxin Shi (Peking University), ERDN: Equivalent Receptive Field Deformable Network for Video Deblurring, Bangrui Jiang (Tsinghua University)*; zhihuai xie (Tencent); Zhen Xia (Tencent); Songnan Li (Tencent); Shan Liu (Tencent America), Shentong Mo (Carnegie Mellon University); Pedro Morgado (CMU)*, Daoyi Gao (Technical University of Munich)*; Yitong Li (Technical University of Munich); Patrick Ruhkamp (Technical University of Munich); Iuliia Skobleva (Technical University of Munich); Magdalena Wysocki (Technical University of Munich); HyunJun Jung ( Technical University of Munich); Pengyuan Wang (TUM); Arturo Guridi (Technical University of Munich); Benjamin Busam (Technical University of Munich), DFNet: Enhance Absolute Pose Regression with Direct Feature Matching, Shuai Chen (University of Oxford)*; Xinghui Li (University of Oxford); Zirui Wang (University of Oxford); Victor Adrian Prisacariu (University of Oxford), A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge, Dustin Schwenk (Allen Institute for Artificial Intelligence); Apoorv Khandelwal (Allen Institute for AI); Christopher A Clark (Allen Institute for AI); Kenneth Marino (CMU); Roozbeh Mottaghi (Allen Institute for AI)*, Sound Localization by Self-Supervised Time Delay Estimation, Ziyang Chen (University of Michigan)*; David Fouhey (University of Michigan); Andrew Owens (U Michigan), AdaFocus V3: On Unified Spatial-temporal Dynamic Video Recognition, Yulin Wang (Tsinghua University); Yang Yue (Tsinghua University); Xinhong Xu (Tsinghua University); Ali Hassani (University of Oregon); Victor Kulikov (Picsart); Nikita Orlov (PicsArt); Shiji Song (Department of Automation, Tsinghua University); Humphrey Shi (U of Oregon | UIUC | PAIR); Gao Huang (Tsinghua)*, Discrete-Constrained Regression for Local Counting Models, Haipeng Xiong (National University of Singapore)*; Angela Yao (National University of Singapore), Towards Regression-Free Neural Networks for Diverse Compute Platforms, Rahul Duggal (Georgia Tech); Hao Zhou (Amazon); Shuo Yang (Amazon); Jun Fang (Amazon)*; Yuanjun Xiong (Amazon); Wei Xia (Amazon), Selection and Cross Similarity for Event-Image Deep Stereo, Hoonhee Cho (KAIST)*; Kuk-Jin Yoon (KAIST), Long Movie Clip Classification with State-Space Video Models, Md Mohaiminul Islam (UNC Chapel Hill)*; Gedas Bertasius (UNC Chapel Hill), Relationship Spatialization for Depth Estimation, xiaoyu xu (University of Waterloo)*; Jiayan Qiu (University of Waterloo); Xinchao Wang (National University of Singapore); Zhou Wang (University of Waterloo), Breadcrumbs: Adversarial Class-Balanced Sampling for Long-tailed Recognition, Bo Liu (Wormpex AI Research)*; Haoxiang Li (Wormpex AI Research); Hao Kang (Wormpex AI Research); Gang Hua (Wormpex AI Research); Nuno Vasconcelos (UCSD, USA), Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models, Chenfeng Xu (UC Berkeley)*; Shijia Yang (UC Berkeley); Tomer Galanti (Massachusetts Institute of Technology); Bichen Wu (Facebook Research); Xiangyu Yue (University of California, Berkeley); Bohan Zhai (UC Berkeley); Wei Zhan (University of California, Berkeley); Kurt Keutzer (EECS, UC Berkeley); Peter Vajda (Facebook); Masayoshi Tomizuka (University of California, Berkeley), Menglin Jia (Cornell University)*; Luming Tang (Cornell University); Bor-Chun Chen (Facebook AI); Claire T Cardie (Cornell University); Serge Belongie (University of Copenhagen); Bharath Hariharan (Cornell University); Ser-Nam Lim (Meta AI), Multi-scale and Cross-scale Contrastive Learning for Semantic Segmentation, THEODOROS PISSAS (University College London)*; Claudio S Ravasio (Kings College London (KCL)); Lyndon DaCruz (Moorfields Eye Hospital / University College London); Christos Bergeles (Kings College London), Rethinking Generic Camera Models for Deep Single Image Camera Calibration to Recover Rotation and Fisheye Distortion, Nobuhiko Wakai (Panasonic Corporation)*; Satoshi Sato (Panasonic Corporation); Yasunori Ishii (Panasonic Holdings); Takayoshi Yamashita (Chubu University), Neural-Sim: Learning to Generate Training Data with NeRF, Yunhao Ge (University of Southern California)*; Harkirat Behl (University of Oxford); Jiashu Xu (USC); Suriya Gunasekar (Microsoft Research); Neel Joshi (MICROSOFT RESEARCH); Yale Song (FAIR); Xin Wang (Microsoft Research); Laurent Itti (University of Southern California); Vibhav Vineet (Microsoft Research), Word-Level Fine-Grained Story Visualization, Chairs Can be Stood on: Overcoming Object Bias in Human-Object Interaction Detection, Guangzhi Wang (National University of Singapore)*; Yangyang Guo (National University of Singapore); Yongkang Wong (National University of Singapore); Mohan Kankanhalli (National University of Singapore,), GOCA: Guided Online Cluster Assignment for Self Supervised Video Representation Learning, HUSEYIN COSKUN (Technical University of Munich)*; Alireza Zareian (Snap Inc.); Joshua L Moore (Snapchat); Federico Tombari (Google, TU Munich); Chen Wang (Snap Inc.), Learning Audio-Video Modalities from Image Captions, Arsha Nagrani (Google )*; Paul Hongsuck Seo (Google); Bryan Seybold (Google); Anja Hauth (Google AI); Santiago Manen (Google); Chen Sun (Brown University); Cordelia Schmid (Google), Inverted Pyramid Multi-task Transformer for Dense Scene Understanding, Hanrong Ye (The Hong Kong University of Science and Technology)*; Dan Xu (The Hong Kong University of Science and Technology), Image Inpainting with Cascaded Modulation GAN and Object-Aware Training, Haitian Zheng (University of Rochester)*; Zhe Lin (Adobe Research); Jingwan Lu (Adobe Research ); Scott Cohen (Adobe Research); Eli Shechtman (Adobe Research, US); Connelly Barnes (Adobe); Jianming Zhang (Adobe Research); Ning Xu (Adobe Research); Sohrab Amirghodsi (Adobe Research); Jiebo Luo (U. 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