wasapi: Implement default audio channel mask, webrtcbin: Fix pointer dereference before null check, avauddec: fix regression with WMA files, would throw an error at EOS, avauddec: fix unnecessary reconfiguration if the audio layout isn't specified, libav: Fix for APNG encoder property registration, gst-rtsp-server: Fix pushing backlog to client, rtsp-server: stream: Don't loop forever if binding to the multicast address fails. Network General Sniffer (compressed and uncompressed), Sniffer Pro, and NetXray, There is now a new "new-serialized-event" signal which will be emitted when there's a new event pending (just like the existing "new-sample" signal). videocrop: support for many more pixel formats, e.g. Added support to glupload and gldownload for transferring RGBA buffers using the memory:NVMM available on the Nvidia Tegra family of embedded devices. david, David Fernandez, David Keijser, David Phung, Devarsh Thakkar, This is one of the few rigid rules that we enforce regularly. planar YUV formats with > 8bits and GBR* video formats; can now also accept video not backed by system memory as long as downstream supports the GstCropMeta, videotestsrc: new smpte-rp-219 pattern for SMPTE75 RP-219 conformant color bars. EOS events will be filtered and will not be returned. Jan Schmidt, Jason Carrete, Jason Pereira, Jay Douglass, Jeongki Kim, The third 1.20 bug-fix release (1.20.3) was released on 15 June 2022. Stick to the SU10 live build if you want stability. [42] The game's sales in the United States alone reached 240,913 copies by the end of 1997,[43] after its release on December 9. Add support for choosing between EGL and WGL at runtime when running on Windows. rtspsrc: now supports IPv6 also for tunneled mode (RTSP-over-HTTP); new "ignore-x-server-reply" property to ignore the x-server-ip-address server header reply in case of HTTP tunneling, as it is often broken. In the meantime, users can pass -Ddoc=disabledor downgrade to an older Meson version (< 0.64.0). The latest bug-fix release in the 1.20 series is 1.20.4 and was released on 12 October 2022. I flera r gr rykten i Barkley Cove om "Trskflickan", som gr att den intelligenta och rdiga Kya isoleras frn resten av samhllet. There is also a hub system that allows the player to travel back and forth between levels, which is necessary to complete certain objectives. With this new API, new inputs can be added (requested) and configured and they won't delay the data processing. libsoup3 support is still considered somewhat experimental at this point. In July 2003, Vertigo Software released a port of Quake II for the Microsoft .NET platform, using Managed C++, called Quake II .NET. This will still honour the "min-force-key-unit-interval" property if set. The number of variables contained in the PC hardware out now, only complicates that issue. Rob- Perhaps I was indeed a little too passive aggressive in my post I see that but really, you'd think a dev as large as PMDG would be able to take criticism in stride and brush it off (even if you believe it to be inaccurate or simply wrong - or just disagree with it) and not always - always - feel the need to go on the offensive and find someone, or something, to go after and start sending me multiple comments and DMs. : 57 Wozniak debuted the first prototype Apple I at This is only possible because of the otherwise low hardware demands of Quake II. The number of variables contained in the PC hardware out now, only complicates that issue. It can be played as a free-for-all deathmatch game mode, a cooperative version of the single-player game, or as a 1 vs 1 match that is used in official tournaments, like the Cyberathlete Professional League. "if you have critical flying to accomplish", Tim- All a matter of perspective. Just by your own logic, AHal, wouldnt that mean just because you had great performance in su11 doesnt mean others are so why should they take 1 persons word? Distro packagers please ensure to add a dependency on one of the libsoup runtimes to the gst-plugins-good package so that there is actually a libsoup for the plugin to find! Cisco Secure IDS iplog, - Skivrean avslutas p sndag >>, Kp film online p DVD, Blu-ray, 3D eller 4K Ultra HD hos ginza.se. The new original funnel-like behaviour can be restored by setting the "scheduling" property to FALSE. He Junyan, Ignazio Pillai, James Cowgill, James Hilliard, Various fixes when performing BUNDLEing of the media streams in relation to RTX and FEC usage. This version also lacks the soundtrack. Joe Todd, Jordan Petridis, Krystian Wojtas, Marc-Andr Lureau, Marcin Kolny, ); Sangjin Lee (Yonsei University); Dogyoon Lee (Yonsei University); Sangyoun Lee (Yonsei University), Embedding contrastive unsupervised features to cluster in- and out-of-distribution noise in corrupted image datasets, Paul Albert (Insight Centre for Data Analytics (DCU))*; Eric Arazo (Insight Centre for Data Analytics (DCU)); Noel O Connor (Home); Kevin McGuinness (DCU), Filter Pruning via Feature Discrimination in Deep Neural Networks, Zhiqiang He (Zhejiang University of Science and Technology)*; Yaguan QIAN (Zhejiang University of Science and Technology); Yuqi Wang (Zhejiang University of Science and Technology); Bin WANG (Network and Information Security Laboratory of Hangzhou Hikvision Digital Technology Co.); Xiaohui Guan (Zhejiang University of Water Resources and Electric Power); Zhaoquan Gu (Guangzhou University); Xiang Ling (Institute of Software, Chinese Academy of Sciences); Shaoning Zeng (Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China); Haijiang Wang (Zhejiang University of Science and Technology); Wujie Zhou (Zhejiang University of Science and Technology), VoViT: Low Latency Graph-based Audio-Visual Voice Separation Transformer, Juan Felipe Montesinos (Universitat Pompeu Fabra)*; Venkatesh Shenoy Kadandale (Universitat Pompeu Fabra); Gloria Haro (Universitat Pompeu Fabra), SGBANet: Semantic GAN and Balanced Attention Network for Arbitrarily Oriented Scene Text Recognition, Dajian Zhong (East China Normal University)*; Shujing Lv (East China Normal University); Palaiahnakote Shivakumara (University of Malaya); Bing Yin (IFLYTEK Co.,Ltd); Jiajia Wu (IFLYTEK Co.,Ltd); Umapada Pal (Indian Statistical Institute, Kolkata); Yue Lu (East China Normal University), DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition, Matej Grci (University of Zagreb, Faculty of Electrical Engineering and Computing)*; Petra Bevandi (Faculty of Electrical Engineering and Computing); Sinisa Segvic (UniZg-FER), D2-TPred: Discontinuous Dependency for Trajectory Prediction under Traffic Lights, Yuzhen Zhang (Zhengzhou University); Wentong Wang (Zhengzhou University); weizhi guo (zhengzhou university); Pei Lv (Zhengzhou University)*; Mingliang Xu (Zhengzhou University); Wei Chen (State Key Lab of CAD&CG, Zhejiang University); Dinesh Manocha (University of Maryland at College Park), Where in the World is this Image? flt! Instead properties have been added to replace that functionality. GstNetClientClock will signal lost sync in case the remote time resets (e.g. Tomasz Andrzejak, Trung Do, Tyler Compton, Ung, Vctor Manuel Jquez Leal, IGN is the leading site for PC games with expert reviews, news, previews, game trailers, cheat codes, wiki guides & walkthroughs in combination with this GStreamer MR. ); Min Shi (Huazhong University of Science and Technology); Shuaiyuan Du (Huazhong Univ. I mrka tunnlar och de garage lter de sin makt hrska till ekot av sprckta skallar och sndersparkade blodkrl. NetBSD, and many others, Captured network data can be browsed via a GUI, or via the TTY-mode Import! :-) - RSR, I personally want to thank you RSR for posting SU11 issues as I thankfully saw your post before I logged into MSFS and was able to leave the beta until its sorted. Receivers that don't know about the header extensions will just skip the extra data without ever looking at it. P ginza.se kan du kpa bcker online. Robert thank you for this advice I am using the last version SU10 for the moment! The mono repository lives in the existing GStreamer core git repository in GitLab in the new main branch and all future development will happen on this branch. Sebastian Wick, Seungha Yang, Stphane Cerveau, Thibault Saunier, Find in-depth news and hands-on reviews of the latest video games, video consoles and accessories. VaL Doroshchuk, Vctor Manuel Jquez Leal, Vivek R, Vivia Nikolaidou, Wireshark has a rich feature set which includes the following: Deep inspection of hundreds of protocols, with more being added all the time ; Live capture and offline analysis Lau (City University of Hong Kong), On the Versatile Uses of Partial Distance Correlation in Deep Learning, Xingjian Zhen (University of Wisconsin-Madison)*; Zihang Meng (University of Wisconsin Madison); Rudrasis Chakraborty (Butlr); Vikas Singh (University of Wisconsin Madison), Object-Centric Unsupervised Image Captioning, Zihang Meng (University of Wisconsin Madison)*; David Yang (Facebook); Xuefei Cao (Facebook); Ashish Shah (Facebook AI); Ser-Nam Lim (Meta AI), Pose2Room: Understanding 3D Scenes from Human Activities, Yinyu Nie (Technical University of Munich)*; Angela Dai (Technical University of Munich); Xiaoguang Han (Shenzhen Research Institute of Big Data, the Chinese University of Hong Kong (Shenzhen)); Matthias Niessner (Technical University of Munich), Capturing, Reconstructing, and Simulating: the UrbanScene3D Dataset, Liqiang Lin (Shenzhen University); Yilin Liu (Shenzhen University); Yue Hu (Shenzhen University); Xingguang Yan (Shenzhen University); Ke Xie (Shenzhen University); Hui Huang (Shenzhen University)*, A Spectral View of Randomized Smoothing under Common Corruptions: Benchmarking and Improving Certified Robustness, Jiachen Sun (University of Michigan)*; Akshay Mehra (Tulane University); Bhavya Kailkhura (Lawrence Livermore National Laboratory); Pin-Yu Chen (IBM Research); Dan Hendrycks (UC Berkeley); Jihun Hamm (Tulane University); Zhuoqing Morley Mao (University of Michigan), CLIP-Actor: Text-Driven Recommendation and Stylization for Animating Human Meshes, Kim Youwang (POSTECH)*; Ji-Yeon Kim (POSTECH); Tae-Hyun Oh (POSTECH), Interpretable Image Classification with Differentiable Prototypes Assignment, Dawid Damian Rymarczyk (Jagiellonian University)*; ukasz Struski (Jagiellonian University); Micha Grszczak (Jagiellonian University); Koryna Lewandowska (Jagiellonian University); Jacek Tabor (Jagiellonian University); Bartosz Zieliski (Jagiellonian University), Efficient One-stage Video Object Detection by Exploiting Temporal Consistency, Guanxiong Sun (Queens University Belfast); Yang Hua (Queens University Belfast)*; Guosheng Hu (Oosto); Neil Robertson (Queens University Belfast), ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images, Jiawei Yang (UCLA)*; Hanbo Chen (Tencent AI Lab); Yuan Liang (UCLA); Junzhou Huang (University of Texas at Arlington); Lei He (UCLA); Jianhua Yao (National Institutes of Health), Leveraging Action Affinity and Continuity for Semi-supervised Temporal Action Segmentation, Guodong Ding (National University of Singapore)*; Angela Yao (National University of Singapore), Fast and High Quality Image Denoising via Malleable Convolution, Yifan Jiang (University of Texas at Austin)*; Bartlomiej Wronski (Google Research); Ben Mildenhall (Google Research); Jonathan T Barron (Google Research); Zhangyang Wang (University of Texas at Austin); Tianfan Xue (Google), Data Association between Event Streams andIntensity Frames under Diverse Baselines, Dehao Zhang (Peking University)*; Qiankun Ding (Peking University); Peiqi Duan (Peking University); Chu Zhou (Peking University); Boxin Shi (Peking University), Self-Regulated Feature Learning via Teacher-free Feature Distillation, TS2-Net: Token Shift and Selection Transformer for Text-Video Retrieval, Yuqi Liu (Renmin University of China)*; Pengfei Xiong (Shopee); luhui xu (tencent); Cao Shengming (Tencent); Qin Jin (Renmin University of China), TAPE: Task-Agnostic Prior Embedding for Image Restoration, Lin Liu (University of Science and Technology of China)*; Lingxi Xie (Huawei Inc.); Xiaopeng Zhang (Noahs Ark Lab, Huawei Inc.); Shanxin Yuan (Huawei Noahs Ark Lab); Xiangyu Chen (University of Macau; SIAT); Wengang Zhou (University of Science and Technology of China); Houqiang Li (University of Science and Technology of China); Qi Tian (Huawei Cloud & AI), MVSalNet:Multi-View Augmentation for RGB-D Salient Object Detection, JiaYuan Zhou (Dalian University of Technology)*; Lijun Wang (Dalian University of Technology); Huchuan Lu (Dalian University of Technology); Kaining Huang (huang kaining); Xinchu Shi (Meituan Group); Bocong Liu (Meituan), Rethinking IoU-based Optimization for Single-stage 3D Object Detection, Hualian Sheng (College of Information Science and Electronic Engineering, Zhejiang University; DAMO Academy, Alibaba Group)*; Sijia Cai (DAMO Academy, Alibaba Group); Na Zhao (NUS); Bing Deng (Damo Academy, Alibaba Group); Jianqiang Huang (Damo Academy, Alibaba Group); Xian-Sheng Hua (Damo Academy, Alibaba Group); Min-Jian Zhao (Zhejiang University); Gim Hee Lee (National University of Singapore), Uncertainty Inspired Underwater Image Enhancement, Zhenqi Fu (Xiamen University)*; Wu Wang (Xiamen University); Yue Huang (Xiamen University); Xinghao Ding (Xiamen University); Kai-Kuang Ma (Nanyang Technological University, Singapore), Qihang Yu (Johns Hopkins University)*; Huiyu Wang (JHU); Siyuan Qiao (Google); Maxwell D Collins (Google Inc.); Yukun Zhu (Google Inc.); Hartwig Adam (Google); Alan Yuille (Johns Hopkins University); Liang-Chieh Chen (Google Inc.), Contrastive Vision-Language Pre-training with Limited Resources, Quan Cui (Waseda University)*; Boyan Zhou (ByteDance); Yu Guo (Fudan University); Weidong Yin (UBC); Hao Wu (Bytedance Inc.); Osamu Yoshie (Waseda University); Yubo Chen (Bytedance), Learning Linguistic Association Towards Efficient Text-Video Retrieval, Sheng Fang (ICT); Shuhui Wang (VIPL,ICT,Chinese academic of science)*; Junbao Zhuo (ICT CAS); Xinzhe Han (University of Chinese Academy of Sciences); Qingming Huang (University of Chinese Academy of Sciences), United Defocus Blur Detection and Deblurring via Adversarial Promoting Learning, Wenda Zhao (Dalian University of Technology)*; Fei Wei (Dalian University of Techology); You He (Naval Aviation University); Huchuan Lu (Dalian University of Technology), Unstructured Feature Decoupling for Vehicle Re-Identification, Wen Qian (Institute of Automation, Chinese Academy of Sciences)*; Hao Luo (Alibaba group); Silong Peng (The Chinese academy of science); Fan Wang (Alibaba Group); Chen Chen (The Chinese academy of science); Hao Li (Alibaba Group), Improving Adversarial Robustness of 3D Point Cloud Classification Models, Guanlin Li (Nanyang Technological University)*; Guowen Xu (Nanyang Technological University); Han Qiu (Tsinghua University); Ruan HE (Tencent); Jiwei Li (Shannon.AI); Tianwei Zhang (Nanyang Technological University), ASSISTER: Assistive Navigation via Conditional Instruction Generation, Zanming Huang (Boston University); Zhongkai Shangguan (Boston University); Jimuyang Zhang (Boston University); Gilad Bar (Rutgers University Camden); Matthew Boyd (Boston University); Eshed Ohn-Bar (Boston University)*, Deep Hash Distillation for Image Retrieval, Young Kyun Jang (Seoul National University)*; Geonmo Gu (NAVER corp); Byungsoo Ko (NAVER/LINE Corp.); Isaac Kang (Seoul National University); Nam Ik Cho (Seoul National University), Learning Spatial-Preserved Skeleton Representations for Few-Shot Action Recognition, Ning Ma (Zhejiang University)*; Hongyi Zhang (Zhejiang University); Xuhui Li (Zhejiang University); Sheng Zhou (Zhejiang University); Zhen Zhang (National University of Singapore); Jun Wen (Harvard University); Haifeng Li (Zhejiang University); Jingjun Gu (Zhejiang University); Jiajun Bu (Zhejiang University), Digging into Radiance Grid for Real-Time View Synthesis with Detail Preservation, Jian Zhang (Alibaba Group); Jinchi Huang (Alibaba Group); Bowen Cai (Alibaba Group); Huan Fu (Alibaba Group)*; Mingming Gong (University of Melbourne); Chaohui Wang (Laboratoire dInformatique Gaspard Monge, Universit Paris-Est); Jiaming Wang (Alibaba Group); Hongchen Luo (Alibaba Group); Rongfei Jia (Alibaba Group); Binqiang Zhao (Alibaba); Xing Tang (Alibaba Group), S^2Contact: Graph-based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning, Tze Ho Elden Tse (University of Birmingham)*; Zhongqun Zhang (University of Birmingham); Kwang In Kim (UNIST); Ales Leonardis (University of Birmingham); Feng Zheng (SUSTech); Hyung Jin Chang (University of Birmingham), TD-Road: Top-Down Road Network Extraction with Holistic Graph Construction, Yang He (Amazon)*; Ravi Garg (Amazon com services inc); Amber Roy Chowdhury (Amazon), StyleGAN-Human: A Data-Centric Odyssey of Human Generation, Jianglin Fu (SenseTime)*; Shikai Li (SenseTime Research); Yuming Jiang (Nanyang Technological University); Kwan-Yee Lin (SenseTime Research); Chen Qian (SenseTime); Chen Change Loy (Nanyang Technological University); Wayne Wu (SenseTime Research); Ziwei Liu (Nanyang Technological University), Hourglass Attention Network for Image Inpainting, Ye Deng (Xian Jiaotong University)*; Siqi Hui (Xian Jiaotong University); Rongye Meng (IAIR, Xian Jiaotong University); Sanping Zhou (Xian Jiaotong University); Jinjun Wang (Xian Jiaotong University), Zhengzhong Tu (University of Texas at Austin)*; Hossein Talebi (Google); Han Zhang (Google); Feng Yang (Google Research); Peyman Milanfar (Google); Alan Bovik (University of Texas at Austin); Yinxiao Li (Google), Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images, Yuan Liu (The University of Hong Kong)*; Yilin Wen (The University of Hong Kong); Sida Peng (Zhejiang University); Cheng Lin (Tencent); Xiaoxiao Long (The University of Hong Kong); Taku Komura (The University of Hong Kong); Wenping Wang (The University of Hong Kong), ColorFormer: Image Colorization via Color Memory assisted Hybrid-attention Transformer, Xiaozhong Ji (Tencent)*; Boyuan Jiang (Tencent Youtu Lab); Donghao Luo (Tencent); Guangpin Tao (Nanjing University); Wenqing Chu (Tencent); Zhifeng Xie (Shanghai University); Chengjie Wang (Tencent; Shanghai Jiao Tong University); Ying Tai (Tencent YouTu), Spotting Temporally Precise, Fine-Grained Events in Video, James Hong (Stanford University)*; Haotian Zhang (Stanford University); Michal Gharbi (Adobe Research); Matthew Fisher (Adobe Research); Kayvon Fatahalian (Stanford), SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness, Jindong Gu (University of Munich)*; Hengshuang Zhao (University of Oxford); Volker Tresp (Siemens AG and Ludwig Maximilian University of Munich ); Philip Torr (University of Oxford), Adversarial Erasing Framework via Triplet with Gated Pyramid Pooling Layer for Weakly Supervised Semantic Segmentation, Sung-Hoon Yoon (KAIST)*; Hyeokjun Kweon (KAIST); Jegyeong Cho (KAIST); Shinjeong Kim (KAIST); Kuk-Jin Yoon (KAIST), Zejia Weng (Fudan University)*; Xitong Yang (University of Maryland); Ang Li (Google DeepMind); Zuxuan Wu (UMD); Yu-Gang Jiang (Fudan University), Learning an Isometric Surface Parameterization for Texture Unwrapping, Sagnik Das (Stony Brook University)*; Ke Ma (Stony Brook University); Zhixin Shu (Adobe Research); Dimitris Samaras (Stony Brook University), Mimic Embedding via Adaptive Aggregation: Learning Generalizable Person Re-identification, BOQIANG XU (University of Chinese Academy of SciencesInstitute of AutomationChinese Academy of Sciences)*; Jian Liang (CASIA); He Lingxiao (nlprcripac); Zhenan Sun (Chinese of Academy of Sciences), CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images, Axel Levy (Stanford University); Frederic Poitevin (SLAC National Accelerator Laboratory); Julien N. P. Martel (Stanford University); Youssef Nashed (SLAC National Accelerator Laboratory); Ariana Peck (SLAC National Accelerator Laboratory); Nina Miolane (UCSB); Daniel Ratner (Stanford University ); Mike Dunne (SLAC National Accelerator Laboratory); Gordon Wetzstein (Stanford University)*, EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs, Guohao Ying (University of Southern California); Xin He (Hong Kong Baptist University); Bin Gao (National University of Singapore); Bo Han (HKBU / RIKEN); Xiaowen Chu (Hong Kong University of Science and Technology)*, ScalableViT: Rethinking the Context-oriented Generalization of Vision Transformer, Rui Yang (Tsinghua University)*; Hailong Ma (ByteDance Inc); Jie Wu (ByteDance Inc); Yansong Tang (Tsinghua University); Xuefeng Xiao (ByteDance Inc); Min Zheng (ByteDance); Xiu Li (Tsinghua University), PlaneFormers: From Sparse View Planes to 3D Reconstruction, Samir Agarwala (University of Michigan)*; Linyi Jin (University of Michigan); Chris Rockwell (University of Michigan); David Fouhey (University of Michigan), Domain Adaptive Video Segmentation via Temporal Pseudo Supervision, Yun Xing (Nanyang Technological University); Dayan Guan (Mohamed bin Zayed University of Artificial Intelligence); Jiaxing Huang (Nanyang Technological University); Shijian Lu (Nanyang Technological University)*, Diverse Learner: Exploring Diverse Supervision for Semi-supervised Object Detection, Linfeng Li (Baidu)*; Minyue Jiang (Baidu Inc.); Yue Yu (Baidu.Inc. Distributed by Public, unedited and unaltered, on 28 November 2022 16:36:13 UTC. Stphane Cerveau, Thibault Saunier, Tim-Philipp Mller, Tom Schuring, This sentence makes it sound like you haven't even tested in-house to validate the complaints yourselves? Allows use in e.g. U. Artie Eoff, Vctor Manuel Jquez Leal, WANG Xuerui, Xavier Claessens. The game features much larger levels than Quake, with many more wide open areas. Also true of the numbers in MSFS, that high end systems have massive problems, and low-end systems have massive problems is a "well known fact". An "inactive pad" in this context is a pad which, in live mode, hasn't yet received a first buffer, but has been waited on at least once. [52] GameDaily reported in January 1999 that Quake II's sales in the United States had reached 550,000 units;[53] this number rose to 610,000 units by December of that year. asio: plugin for Steinberg ASIO (Audio Streaming Input/Output) API, gssrc, gssink: add source and sink for Google Cloud Storage, onnx: new plugin to apply ONNX neural network models to video, openaptx: aptX and aptX-HD codecs using libopenaptx (v0.2.0), qroverlay, debugqroverlay: new elements that allow overlaying data on top of video in the form of a QR code, cvtracker: new OpenCV-based tracker element, av1parse, vp9parse: new parsers for AV1 and VP9 video. It is normal for an application to have this problem without being adapted to a new version of the platform. Apple Computer Company was founded on April 1, 1976, by Steve Jobs, Steve Wozniak, and Ronald Wayne as a partnership. De har faktiskt inte terhmtat sig nnu. I ended up re-installing the whole sim again. Python bindings: GObject-introspection related Annotation fixes have led to a case of a GstVideo.VideoInfo-related function signature changing in the Python bindings (possibly one or two other cases too). Smarter minds than me can do it. [22] Quake II has been released on Steam, but this version does not include the soundtrack. Adam- Nobody is throwing shade anywhere, or at anyone. ); Helge Rhodin (UBC), Neural Capture of Animatable 3D Human from Monocular Video, Gusi Te (Peking University); Xiu Li (Tencent); Xiao Li (Microsoft Research Asia)*; Jinglu Wang (Microsoft Research Asia); Wei Hu (Peking University); Yan Lu (Microsoft Research Asia), Open Vocabulary Object Detection with Pseudo Bounding-Box Labels, Mingfei Gao (Apple)*; Chen Xing (Salesforce Research); Juan Carlos Niebles (Salesforce & Stanford University); Junnan Li (Salesforce); Ran Xu (Salesforce Research); Wenhao Liu (Salesforce Metamind); Caiming Xiong (Salesforce Research), BoundaryFace: A mining framework with noise label self-correction for Face Recognition, Shijie Wu (Southwest Jiaotong University)*; Xun Gong (Southwest Jiaotong University), IntegratedPIFu: Integrated Pixel Aligned Implicit Function for Single-view Human Reconstruction, Kennard Chan Yanting (Nanyang Technological University)*; Guosheng Lin (Nanyang Technological University); Haiyu Zhao (SenseTime International Pte Ltd); Weisi Lin (Nanyang Technological University, Singapore), BMD: A General Class-balanced Multicentric Dynamic Prototype Strategy for Source-free Domain Adaptation, Sanqing Qu (Tongji University); Guang Chen (Tongji University)*; Jing Zhang (The University of Sydney); Zhijun Li (University of Science and Technology of China); Wei He (University of Science and Technology Beijing); Dacheng Tao (JD.com), Guangming Wang (Shanghai Jiao Tong University); Yunzhe Hu (Shanghai Jiao Tong University); Zhe Liu (University of Cambridge); Yiyang Zhou (UC Berkeley ); Masayoshi TOMIZUKA (MSC Lab); Wei Zhan (University of California, Berkeley); Hesheng Wang (SJTU)*, Controllable Shadow Generation Using Pixel Heigh Maps, Yichen Sheng (Purdue University)*; Yifan Liu (University of Adelaide); Jianming Zhang (Adobe Research); Wei Yin (University of Adelaide); A. Cengiz Oztireli (University of Cambridge, Google); He Zhang (Adobe); Zhe Lin (Adobe Research); Eli Shechtman (Adobe Research, US); Bedrich Benes (Purdue University), CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution, Cheeun Hong (Seoul National University); Sungyong Baik (Hanyang University); Heewon Kim (Seoul National University); Seungjun Nah (NVIDIA); Kyoung Mu Lee (Seoul National University)*, SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection, Minhyeok Lee ( Yonsei University)*; Chaewon Park (Yonsei University); Suhwan Cho (Yonsei University); Sangyoun Lee (Yonsei University), Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer, Songwei Ge (University of Maryland)*; Thomas F Hayes (Meta); Harry Yang (Facebook); Xi Yin (Facebook); Guan Pang (Facebook); David Jacobs (University of Maryland, USA); Jia-Bin Huang (Facebook ); Devi Parikh (Georgia Tech & Facebook AI Research), Combining Internal and External Constraints for Unrolling Shutter in Videos, Eyal Naor (Weizmann Institute)*; Itai Antebi (Weizmann); Shai Bagon (Weizmann Institute of Science); Michal Irani (Weizmann Institute, Israel), Global Spectral Filter Memory Network for Video Object Segmentation, Yong Liu (Tsinghua University)*; Ran Yu (Tsinghua university); Jiahao Wang (Tsinghua University); Xinyuan Zhao (Huawei); Yitong Wang (Bytedance); Yansong Tang (Tsinghua University); Yujiu Yang (Tsinghua University), SEMICON: A Learning-to-hash Solution for Large-scale Fine-grained Image Retrieval, Yang Shen (Nanjing University of Science and Technology); Xu Hao XH SUN (Nanjing University Of Science And Technology); Xiu-Shen Wei (Nanjing University of Science and Technology)*; Qing-Yuan Jiang (HuaWei); Jian Yang (Nanjing University of Science and Technology), Batch-efficient EigenDecomposition for Small and Medium Matrices, General Object Pose Transformation Network from Unpaired Data, Yukun Su (South China University of Technology)*; Guosheng Lin (Nanyang Technological University); RuiZhou Sun (South China University of Technology); Qingyao Wu (South China University of Technology), Robust Network Architecture Search via Feature Distortion Restraining, Yaguan QIAN (Zhejiang University of Science and Technology)*; Shenghui Huang (Zhejiang University of Science and Technology); Bin WANG (Network and Information Security Laboratory of Hangzhou Hikvision Digital Technology Co.); Xiang Ling (Institute of Software, Chinese Academy of Sciences); Xiaohui Guan (Zhejiang University of Water Resources and Electric Power); Zhaoquan Gu (Guangzhou University); Shaoning Zeng (Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China); Wujie Zhou (Zhejiang University of Science and Technology); Haijiang Wang (Zhejiang University of Science and Technology), Correspondence Reweighted Translation Averaging, Lalit Manam (Indian Institute of Science Bengaluru)*; Venu Madhav Govindu (Indian Institute of Science), RepMix: Representation Mixing for Robust Attribution of Synthesized Images, Tu Bui (University of Surrey)*; Ning Yu (Salesforce Research); John Collomosse (Adobe Research), When Deep Classifiers Agree: Analyzing Correlations between Learning Order and Image Statistics, Iuliia Pliushch (Goethe University)*; Martin Mundt (TU Darmstadt); Nicolas Lupp (Goethe University Frankfurt); Visvanathan Ramesh (Goethe University), S2F2: Single-Stage Flow Forecasting for Future Multiple Trajectories Prediction, YU-WEN CHEN (National Tsing Hua University); Hsuan-Kung Yang (National Tsing Hua University); Chu-Chi Chiu (National Tsin-Hua University); Chun-Yi Lee (National Tsing Hua University)*, Few-Shot Object Detection by Knowledge Distillation Using Bag-of-Visual-Words Representations, Wenjie Pei (Harbin Institute of Technology, Shenzhen); Shuang Wu (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)*, Stochastic Consensus: Enhancing Semi-Supervised Learning with Consistency of Stochastic Classifiers, Hui Tang (South China University of Technology)*; Kui Jia (South China University of Technology); Lin Sun (Magic Leap), Learning Where To Look Generative NAS is Surprisingly Efficient, Jovita Lukasik (University of Mannheim)*; Steffen Jung (MPII); Margret Keuper (University of Mannheim), Realistic One-shot Mesh-based Head Avatars, Taras Khakhulin (Skolkovo Institute of Science and Technology)*; Vanessa Valerievna Skliarova (Skoltech); Victor Lempitsky (Yandex); Egor Zakharov (Skolkovo Institute of Science and Technology), Ensemble Knowledge Guided Sub-network Search and Fine-tuning for Filter Pruning, Seunghyun Lee (Inha University); Byung Cheol Song (Inha University)*, SALISA: Saliency-based Input Sampling for Efficient Video Object Detection, Babak Ehteshami Bejnordi (Qualcomm AI Reseach)*; Amir Ghodrati (Qualcomm AI Research); Fatih Porikli (Qualcomm AI Research); Amirhossein Habibian (Qualcomm AI Research), Video Instance Segmentation via Multi-Scale Spatio-Temporal Split Attention Transformer, Omkar Thawakar (MBZUAI)*; Sanath Narayan (Inception Institute of Artificial Intelligence); Jiale Cao (Tianjin University); Hisham Cholakkal (MBZUAI); Rao Muhammad Anwer (MBZUAI/AALTO); Muhammad Haris Khan (Muhammad Bin Zayed University of Artificial Intelligence); Salman Khan (MBZUAI/ANU); Michael Felsberg (Linkping University); Fahad Shahbaz Khan (MBZUAI), RankSeg: Adaptive Pixel Classification with Image Category Ranking for Segmentation, Haodi He (University of Science and Technology of China); Yuhui Yuan (Microsoft Research)*; Xiangyu Yue (University of California, Berkeley); Han Hu (Microsoft Research Asia), Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression, Ahmet Burakhan Koyuncu (Technical University of Munich)*; Han Gao (Tencent America); Atanas Boev (Huawei Technologies Duesseldorf GmbH); Georgii Gaikov (Huawei Moscow Research Center); Elena Alshina (Huawei Technologies); Eckehard Steinbach (TUM), Image Super-Resolution with Deep Dictionary, ECO-TR: Efficient Correspondences Finding Via Coarse-to-Fine Refinement, Dongli Tan (Xiamen University)*; Jiang-Jiang Liu (Nankai University); Xingyu Chen (Youtu Lab); Chao Chen (Youtu Laboratory); Ruixin Zhang (Tencent); Yunhang Shen (Xiamen University); Shouhong Ding (Tencent); Rongrong Ji (Xiamen University, China), Responsive Listening Head Generation: A Benchmark Dataset and Baseline, Mohan Zhou (Harbin Institute of Technology)*; Yalong Bai (JD AI Research); Wei Zhang (JD AI Research); Ting Yao (JD AI Research); Tiejun Zhao (Harbin Institute of Technology); Tao Mei (AI Research of JD.com), WISE: Whitebox Image Stylization by Example-based Learning, Winfried Ltzsch (Merantix Momentum); Max Reimann (Hasso-Plattner-Institute)*; Martin Bemeyer (Hasso-Plattner-Institut); Amir Semmo (Digital Masterpieces GmbH); Jrgen Dllner (Hasso-Plattner-Institut); Matthias Trapp (Hasso Plattner Institute, University of Potsdam), Yunlu Chen (University of Amsterdam)*; Basura Fernando (Agency for Science, Technology and Research, A*STAR, Singapore); Hakan Bilen (University of Edinburgh); Matthias Niessner (Technical University of Munich); Efstratios Gavves (University of Amsterdam ), AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment, Kangyeol Kim (KAIST)*; Sunghyun Park (KAIST); Jaeseong Lee (KAIST); Sunghyo Chung (Korea University); Junsoo Lee (NAVER WEBTOON Ltd.); Jaegul Choo (Korea Advanced Institute of Science and Technology), Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics, Sen Zhang (The University of Sydney); Jing Zhang (The University of Sydney)*; Dacheng Tao (The University of Sydney), Dynamic Local Aggregation Network with Adaptive Clusterer for Anomaly Detection, Zhiwei Yang (Xidian University)*; Peng Wu (Xidian University); Jing Liu (Xidian University); Xiaotao Liu (Xidian University), Learning Semantic Segmentation from Multiple Datasets with Label Shifts, Dongwan Kim (Seoul National University)*; Yi-Hsuan Tsai (Phiar Technologies); Yumin Suh (NEC Labs America); Masoud Faraki (NEC Labs); Sparsh Garg (NEC Labs America); Manmohan Chandraker (UC San Diego); Bohyung Han (Seoul National University), SecretGen: Privacy Recovery on Pre-trained Models via Distribution Discrimination, Zhuowen Yuan (UIUC); Fan Wu (UIUC); Yunhui Long (University of Illinois); Chaowei Xiao (NVIDIA); Bo Li (UIUC)*, A Kendall Shape Space Approach to 3D Shape Estimation from 2D Landmarks, Martha Paskin (Zuse Institute Berlin); Daniel Baum (Zuse Institute Berlin); Mason N Dean (City University of Hong Kong); Christoph von Tycowicz (Zuse Institute Berlin)*, Temporally Consistent Transformer for Video Denoising, Mingyang Song (ETH Zurich)*; Yang Zhang (Disney Research Studios); Tun Aydin (Disney Research), Action Quality Assessment with Temporal Parsing Transformer, Yang Bai (Durham University); Desen Zhou (Baidu, Inc.)*; Songyang Zhang (Shanghai AI Laboratory); Jian Wang (Baidu); Errui Ding (Baidu Inc.); Yu Guan (University of Warwick); Yang Long (Durham University); Jingdong Wang (Baidu), A study of Pre-training strategies and datasets for facial representation learning, Adrian Bulat (Samsung AI Center, Cambridge)*; Shiyang Cheng (Samsung); Jing Yang (University of Nottingham); Andrew Garbett (Samsung AI Center); Enrique Sanchez (Samsung AI Centre); Georgios Tzimiropoulos (Queen Mary University of London), Neural Strands: Learning Hair Geometry and Appearance from Multi-View Images, Radu Alexandru Rosu (University of Bonn); Shunsuke Saito (Facebook); Ziyan Wang (Carnegie Mellon University); Chenglei Wu (Facebook Reality Labs); Sven Behnke (University of Bonn); Giljoo Nam (Facebook Inc.)*, Conditional Stroke Recovery for Fine-Grained Sketch-Based Image Retrieval, Zhixin Ling (Fudan University)*; Zhen Xing (Fudan University); Jian Zhou (Fudan University); Xiangdong Zhou (Fudan University), Generalized Brain Image Synthesis with Transferable Convolutional Sparse Coding Networks, Yawen Huang (Tencent)*; Feng Zheng (SUSTech); Xu Sun (Tencent); Yuexiang Li (Jarvis Lab, Tencent); Ling Shao (Terminus Group); Yefeng Zheng (Tencent), Wave-ViT: Unifying Wavelet and Transformers for Visual Representation Learning, Ting Yao (JD AI Research); Yingwei Pan (JD AI Research)*; Yehao Li (JD AI Research); Chong-Wah Ngo (Singapore Management University); Tao Mei (AI Research of JD.com), GraphCSPN: Geometry-Aware Depth Completion via Dynamic GCNs, Xin Liu (Tsinghua University)*; Xiaofei Shao (Deptrum); Bo Wang (Deptrum); Ya-Li Li (Tsinghua University); Shengjin Wang (Tsinghua University), Jim Davis (Ohio State University); Logan Frank (Ohio State University)*, NewsStories: Illustrating articles with visual summaries, Reuben Tan (Boston University)*; Bryan Plummer (Boston University); Kate Saenko (Boston University); J.P. Lewis (Google Research); Avneesh Sud (Google); Thomas Leung (Google), Improving Few-Shot Learning through Multi-task Representation Learning Theory, Quentin Bouniot (CEA, LIST)*; Ievgen Redko (Laboratoire Hubert Curien); Romaric Audigier (CEA LIST); Anglique Loesch (CEA LIST); Amaury Habrard (University of St-Etienne, Lab. Some of the textures and symbols that appear in the game are very similar to some of those found in Quake. rtpsrc: add "caps" property to allow explicit setting of the caps where needed. valve: add "drop-mode" property and provide two new modes of operation: in drop-mode=forward-sticky-events sticky events (stream-start, segment, tags, caps, etc.) How Severe is Benchmark-Sensitivity in Video Self-Supervised Learning? Don't get me started. The GStreamer team is proud to announce a new major feature release in the stable 1.x API series of your favourite cross-platform multimedia framework! This is mostly useful for bindings such as the Rust bindings which may have done their own formatting already . An LCC-friendly version was released on January 1, 2002, by a modder going by the name of Major Bitch. Because this issue will distract the community from looking for other issues. The displays run on small batteries and can flash and at the same time show different messages in a scrolling sequence. of Sci.&Tech. ); 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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