[PDF] [Project], Transformers as Meta-Learners for Implicit Neural Representations. ICCV 2021. (arXiv 2022.03) Under the Hood of Transformer Networks for Trajectory Forecasting. [PDF], Knowledge as Priors: Cross-Modal Knowledge Generalization for Datasets without Superior Knowledge. (arXiv 2022.02) AI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation. (arXiv 2021.12) SSAT: A Symmetric Semantic-Aware Transformer Network for Makeup Transfer and Removal. (arXiv 2021.06) Transformer-Based Deep Image Matching for Generalizable Person Re-identification. (arXiv 2022.08) TFusion: Transformer based N-to-One Multimodal Fusion Block. (arXiv 2022.06) mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation. Chairs: Category-guided 3D shape learning without any 3D cues, Zixuan Huang (Georgia Institute of Technology)*; Stefan Stojanov (Georgia Institute of Technology); Anh Thai (Georgia Institute of Technology); Varun Jampani (Google); James Rehg (Georgia Institute of Technology), ART-SS: An Adaptive Rejection Technique for Semi-Supervised restoration for adverse weather-affected images, Rajeev Yasarla ( AIBEE )*; Carey E Priebe (Johns Hopkins University); Vishal Patel (Johns Hopkins University), Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction, Maosen Li (Cooperative Medianet Innovation Center, Shanghai Jiao Tong University)*; Siheng Chen (Shanghai Jiao Tong University); Zijing Zhang (Zhejiang University); Lingxi Xie (Huawei Inc.); Qi Tian (Huawei Cloud & AI); Ya Zhang (Cooperative Medianet Innovation Center, Shang hai Jiao Tong University), MHR-Net: Multiple-Hypothesis Reconstruction of Non-Rigid Shapes from 2D Views, Haitian Zeng (University of Technology Sydney)*; Xin Yu (University of Technology Sydney); Jiaxu Miao (Zhejiang University); Yi Yang (Zhejiang University), Unifying Event Detection and Captioning as Sequence Generation via Pre-Training, Qi Zhang (Renmin University of China)*; Yuqing Song (Renmin University of China); Qin Jin (Renmin University of China), Depth Map Decomposition for Monocular Depth Estimation, Jinyoung Jun (Korea University)*; Jae-Han Lee (Gauss Labs Inc.); Chul Lee (Dongguk University); Chang-Su Kim (Korea university), Human-centric Image Cropping with Partition-aware and Content-preserving Features, Bo Zhang (Shanghai Jiao Tong University)*; Li Niu (Shanghai Jiao Tong University); Xing Zhao (Shanghai Jiao Tong University); Liqing Zhang (Shanghai Jiao Tong University), Backbone is All Your Need: A Simplified Architecture for Visual Object Tracking, Boyu Chen (The University of Sydney); Peixia Li (The University of Sydney)*; Lei Bai (Shanghai AI Laboratory); Lei Qiao (SenseTime Group Limited); Qiuhong Shen (Harbin Institute of Technology (Shenzhen)); Bo Li (SenseTime Group Limited); Weihao Gan (SenseTime Group Limited); Wei Wu (SenseTime Group Limited); Wanli Ouyang (The University of Sydney), StyleFace: Towards Identity-Disentangled Face Generation on Megapixels, Yuchen Luo (Shanghai Jiao Tong University)*; Junwei Zhu (Tencent); Keke He (Tencent); Wenqing Chu (Tencent); Ying Tai (Tencent YouTu); Junchi Yan (Shanghai Jiao Tong University); Chengjie Wang (Tencent; Shanghai Jiao Tong University), Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion, Pengwei Liang (Harbin Institute of Technology)*; Junjun Jiang (Harbin Institute of Technology); Xianming Liu (Harbin Institute of Technology); Jiayi Ma (Wuhan University), Learning Degradation Representations for Image Deblurring, dasong Li (Chinese University of Hong Kong)*; Yi Zhang (CUHK); Ka Chun Cheung (Nvidia); Xiaogang Wang (Chinese University of Hong Kong, Hong Kong); Hongwei Qin (Sensetime); Hongsheng Li (The Chinese University of Hong Kong), Aware of the History: Trajectory Forecasting with the Local Behavior Data, Yiqi Zhong (University of Southern California)*; Zhenyang Ni (Shanghai Jiao Tong University); Siheng Chen (Shanghai Jiao Tong University); Ulrich Neumann (USC), Divya Kothandaraman (University of Maryland College Park)*; Tianrui Guan (University of Maryland, College Park); Xijun Wang (University of Maryland, College Park); Shuowen Hu (US Army Research Laboratory); Ming C Lin (UMD-CP & UNC-CH ); Dinesh Manocha (University of Maryland at College Park), X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation, Yinan He (Beijing University of Posts and Telecommunications)*; Gengshi Huang (School of Electronics and Information Technology, Sun Yat-sen University); Siyu Chen (Carnegie Mellon University); Jianing Teng (sensetime); Kun Wang (SenseTime Group Limited); Zhenfei Yin (Sensetime); Lu Sheng (Beihang University); Ziwei Liu (Nanyang Technological University); Yu Qiao (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences); Jing Shao (Sensetime), Disentangled Differentiable Network Pruning, Shangqian Gao (University of Pittsburgh)*; Feihu Huang (University of Pittsburgh); Yanfu Zhang (University of Pittsburgh); Heng Huang (University of Pittsburgh), Yunzhi Zhang (Stanford University)*; Jiajun Wu (Stanford University), IDa-Det: An Information Discrepancy-aware Distillation for 1-bit Detectors, Sheng Xu (Beihang University)*; Yanjing Li (Beihang University); Bohan Zeng (Beihang University); Teli Ma (Shanghai Artificial Intelligence Laboratory); Baochang Zhang (Beihang University); Xianbin Cao (Beihang University, China); Peng Gao (Chinese university of hong kong); Jinhu Lu (Beihang University, Beijing, China), Multimodal Transformer with Variable-length Memory for Vision-and-Language Navigation, chuang lin (Monash University)*; Yi Jiang (Bytedance); Jianfei Cai (Monash University); Lizhen Qu (Monash University); Reza Haffari (Monash University, Australia); Zehuan Yuan (Bytedance.Inc), DnA: Improving Few-shot Transfer Learning with Low-Rank Decomposition and Alignment, Ziyu Jiang (Texas A&M University)*; Tianlong Chen (Unversity of Texas at Austin); Xuxi Chen (University of Texas at Austin); Yu Cheng (Microsoft Research); Luowei Zhou (Microsoft); Lu Yuan (Microsoft); Ahmed Awadallah (Microsoft); Zhangyang Wang (University of Texas at Austin), Translating a Visual LEGO Manual to a Machine-Executable Plan, Ruocheng Wang (Stanford University)*; Yunzhi Zhang (Stanford University); Jiayuan Mao (MIT); Chin-Yi Cheng (Google Research); Jiajun Wu (Stanford University), Cornerformer: Purifying Instances for Corner-based Detectors, Haoran Wei (University of Chinese Academy of Sciences)*; Xin Chen (Huawei Inc.); Lingxi Xie (Huawei Inc.); Qi Tian (Huawei Cloud & AI), Contributions of Shape, Texture, and Color in Visual Recognition, Yunhao Ge (University of Southern California)*; Yao Xiao (University of Southern California); Zhi Xu (University of Southern California); Xingrui Wang (University of Southern California); Laurent Itti (University of Southern California), Monitored Distillation for Positive Congruent Depth Completion, Tian Yu Liu (UCLA); Parth Agrawal (UCLA); Allison Y Chen (University of California, Los Angeles); Byung-Woo Hong (Chung-Ang University); Alex Wong (Yale University)*, Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian, Zhiwen Cao (Purdue University); Dongfang Liu (Rochester Institute of Technology)*; Qifan Wang (Meta AI); Yingjie Victor Chen (Purdue University), AirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration, Bowen Li (Tongji University)*; Chen Wang (Carnegie Mellon University); Pranay Reddy Anthireddy (Indian Institute of Information Technology, Design and Manufacturing, Jabalpur); Seungchan Kim (Carnegie Mellon University); Sebastian Scherer (Carnegie Mellon University), Learning to Weight Samples for Dynamic Early-exiting Networks, Yizeng Han (Tsinghua University); Yifan Pu (Tsinghua University); Zihang Lai (CMU); Chaofei Wang (Tsinghua University); Shiji Song (Department of Automation, Tsinghua University); cao junfeng (CMRI); Wenhui Huang (CMRI); Chao Deng (China Mobile Research Institute); Gao Huang (Tsinghua)*, Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning, K L Navaneet (University of California, Davis); Soroush Abbasi Koohpayegani (University of Maryland Baltimore County)*; Ajinkya B Tejankar (UMBC); Kossar Pourahmadi Meibodi (University of Maryland, Baltimore County); Akshayvarun Subramanya (UMBC); Hamed Pirsiavash (University of California Davis), SLIP: Self-supervision meets Language-Image Pre-training, Norman Mu (University of California, Berkeley)*; Alexander Kirillov (Facebook AI Reserach); David Wagner (UC Berkeley); Saining Xie (Facebook AI Research), Learning Visual Styles from Audio-Visual Associations, Tingle Li (Tsinghua University)*; Yichen Liu (Tsinghua University); Andrew Owens (U Michigan); Hang Zhao (Tsinghua University), Dynamic Low-Resolution Distillation for Cost-Efficient End-to-End Text Spotting, Ying Chen (Hikvision Research Institute); Liang Qiao (Zhejiang University & Hikvision Research Institute)*; Zhanzhan Cheng (Zhejiang University & Hikvision Research Institute); Shiliang Pu (Hikvision Research Institute); Yi Niu (Hikvision Research Institute); Xi Li (Zhejiang University), Prompting Visual-Language Models for Efficient Video Understanding, Chen Ju (Cooperative Medianet Innovation Center, Shang hai Jiao Tong University); Tengda Han (University of Oxford); Kunhao Zheng (Shanghai Jiaotong University); Ya Zhang (Cooperative Medianet Innovation Center, Shang hai Jiao Tong University); Weidi Xie (Shanghai Jiao Tong University)*, Hongje Seong (Yonsei University)*; Seoung Wug Oh (Adobe Research); Brian Price (Adobe); Euntai Kim (Yonsei University); Joon-Young Lee (Adobe Research), Contrastive Learning for Diverse Disentangled Foreground Generation, Yuheng Li (UW Madison)*; Yijun Li (Adobe Research); Jingwan Lu (Adobe Research ); Eli Shechtman (Adobe Research, US); Yong Jae Lee (University of Wisconsin-Madison); Krishna Kumar Singh (Adobe Research), Resolution-free Point Cloud Sampling Network with Data Distillation, Tianxin Huang (Zhejiang University)*; Jiangning Zhang (Zhejiang University); Jun Chen (Zhejiang University); Yuang Liu (Zhejiang University); Yong Liu (Zhejiang University), BIPS: Bi-modal Indoor Panorama Synthesis via Residual Depth-aided Adversarial Learning, Changgyoon Oh (KAIST)*; Wonjune Cho (NAVER LABS); Yujeong Chae (KAIST); Daehee Park (KAIST); Lin Wang (HKUST); Kuk-Jin Yoon (KAIST), Augmentation of rPPG Benchmark Datasets: Learning to Remove and Embed rPPG Signals via Double Cycle Consistent Learning from Unpaired Facial Videos, WEI-HAO Chung (National Tsing Hua University)*; CHENG-JU HSIEH (National Tsing Hua University); Chiou-Ting Hsu (National Tsing Hua University), Fabric Material Recovery from Video Using Multi-Scale Geometric Auto-Encoder, Junbang Liang (University of Maryland, College Park)*; Ming C Lin (UMD-CP & UNC-CH ), An Invisible Black-box Backdoor Attack through Frequency Domain, Tong Wang (Nanjing University); Yuan Yao (Nanjing University)*; Feng Xu (Nanjing University); Shengwei An (Purdue University); Hanghang Tong (University of Illinois at Urbana-Champaign); Ting Wang (Penn State), Learning Mutual Modulation for Self-Supervised Cross-Modal Super-Resolution, Xiaoyu Dong (The University of Tokyo / RIKEN AIP); Naoto Yokoya (The University of Tokyo)*; Longguang Wang (National University of Defense Technology); Tatsumi Uezato (Hitachi, Ltd), TransGrasp: Grasp Pose Estimation of a Category of Objects by Transferring Grasps from Only One Labeled Instance, Hongtao Wen (Dalian University of Technology); Jianhang Yan (Dalian University of Technology); Wanli Peng (Dalian University of Technology)*; Yi Sun (Dalian University of Technology), Learning Instance and Task-Aware Dynamic Kernels for Few-shot Learning, Rongkai Ma (Monash University)*; Pengfei Fang (The Australian National University); Gil Avraham (Monash University); Yan Zuo (CSIRO); Tianyu Zhu (Monash University); Tom Drummond (University of Melbourne); Mehrtash Harandi (Monash University), PillarNet: Real-Time and High-Performance Pillar-based 3D Object Detection, Guangsheng Shi (Harbin Institute of Technology)*; Ruifeng Li (Harbin Institute of Technology); Chao Ma (Shanghai Jiao Tong University), Robust Object Detection With Inaccurate Bounding Boxes, Chengxin Liu (Huazhong University of Science and Technology); Kewei Wang (Huazhong Univ.
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