Ma, Chao

105 publications

TMLR 2026 Video Prediction Transformers Without Recurrence or Convolution Yujin Tang, Lu Qi, Xiangtai Li, Chao Ma, Ming-Hsuan Yang

ICLR 2025 A Simple Approach to Unifying Diffusion-Based Conditional Generation Xirui Li, Charles Herrmann, Kelvin C.K. Chan, Yinxiao Li, Deqing Sun, Chao Ma, Ming-Hsuan Yang

NeurIPS 2025 AdaptGrad: Adaptive Sampling to Reduce Noise Linjiang Zhou, Chao Ma, Zepeng Wang, Libing Wu, Xiaochuan Shi

NeurIPS 2025 Co-Reinforcement Learning for Unified Multimodal Understanding and Generation Jingjing Jiang, Chongjie Si, Jun Luo, Hanwang Zhang, Chao Ma

NeurIPS 2025 Correlated Low-Rank Adaptation for ConvNets Wu Ran, Weijia Zhang, ShuYang Pang, Qi Zhu, Jinfan Liu, JingSheng Liu, Xin Cao, Qiang Li, Yichao Yan, Chao Ma

ICCV 2025 Corvid: Improving Multimodal Large Language Models Towards Chain-of-Thought Reasoning Jingjing Jiang, Chao Ma, Xurui Song, Hanwang Zhang, Jun Luo

ICCV 2025 Cross-Architecture Distillation Made Simple with Redundancy Suppression Weijia Zhang, Yuehao Liu, Wu Ran, Chao Ma

IJCAI 2025 Domain Prompt Learning with Quaternion Networks (Extended Abstract) Qinglong Cao, Zhengqin Xu, Yuntian Chen, Chao Ma, Xiaokang Yang

NeurIPS 2025 Gradient Multi-Normalization for Efficient LLM Training Meyer Scetbon, Chao Ma, Wenbo Gong, Edward Meeds

CVPR 2025 HaWoR: World-Space Hand Motion Reconstruction from Egocentric Videos Jinglei Zhang, Jiankang Deng, Chao Ma, Rolandos Alexandros Potamias

ICCV 2025 PVMamba: Parallelizing Vision Mamba via Dynamic State Aggregation Fei Xie, Zhongdao Wang, Weijia Zhang, Chao Ma

AAAI 2025 Robust SAM: On the Adversarial Robustness of Vision Foundation Models Jiahuan Long, Zhengqin Xu, Tingsong Jiang, Wen Yao, Shuai Jia, Chao Ma, Xiaoqian Chen

ICML 2025 SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training Chao Ma, Wenbo Gong, Meyer Scetbon, Edward Meeds

CVPR 2025 S^3-Face: SSS-Compliant Facial Reflectance Estimation via Diffusion Priors Xingyu Ren, Jiankang Deng, Yuhao Cheng, Wenhan Zhu, Yichao Yan, Xiaokang Yang, Stefanos Zafeiriou, Chao Ma

WACV 2025 Towards Generalized Face Anti-Spoofing from a Frequency Shortcut View Junyi Cao, Chao Ma

ICCV 2025 VRM: Knowledge Distillation via Virtual Relation Matching Weijia Zhang, Fei Xie, Weidong Cai, Chao Ma

ICCV 2025 VTimeCoT: Thinking by Drawing for Video Temporal Grounding and Reasoning Jinglei Zhang, Yuanfan Guo, Rolandos Alexandros Potamias, Jiankang Deng, Hang Xu, Chao Ma

ICCV 2025 What You Have Is What You Track: Adaptive and Robust Multimodal Tracking Yuedong Tan, Jiawei Shao, Eduard Zamfir, Ruanjun Li, Zhaochong An, Chao Ma, Danda Paudel, Luc Van Gool, Radu Timofte, Zongwei Wu

ICCV 2025 XTrack: Multimodal Training Boosts RGB-X Video Object Trackers Yuedong Tan, Zongwei Wu, Yuqian Fu, Zhuyun Zhou, Guolei Sun, Eduard Zamfir, Chao Ma, Danda Paudel, Luc Van Gool, Radu Timofte

ICML 2024 A Fixed-Point Approach for Causal Generative Modeling Meyer Scetbon, Joel Jennings, Agrin Hilmkil, Cheng Zhang, Chao Ma

WACV 2024 Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object Detection Weijia Zhang, Dongnan Liu, Chao Ma, Weidong Cai

TMLR 2024 Deep End-to-End Causal Inference Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Nick Pawlowski, Agrin Hilmkil, Joel Jennings, Meyer Scetbon, Miltiadis Allamanis, Cheng Zhang

CVPR 2024 DiffusionTrack: Point Set Diffusion Model for Visual Object Tracking Fei Xie, Zhongdao Wang, Chao Ma

CVPR 2024 Domain Prompt Learning with Quaternion Networks Qinglong Cao, Zhengqin Xu, Yuntian Chen, Chao Ma, Xiaokang Yang

AAAI 2024 Domain-Controlled Prompt Learning Qinglong Cao, Zhengqin Xu, Yuntian Chen, Chao Ma, Xiaokang Yang

AAAI 2024 LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation Zhengqin Xu, Yulun Zhang, Chao Ma, Yichao Yan, Zelin Peng, Shoulie Xie, Shiqian Wu, Xiaokang Yang

CVPR 2024 Monocular Identity-Conditioned Facial Reflectance Reconstruction Xingyu Ren, Jiankang Deng, Yuhao Cheng, Jia Guo, Chao Ma, Yichao Yan, Wenhan Zhu, Xiaokang Yang

NeurIPS 2024 NeuMA: Neural Material Adaptor for Visual Grounding of Intrinsic Dynamics Junyi Cao, Shanyan Guan, Yanhao Ge, Wei Li, Xiaokang Yang, Chao Ma

ECCV 2024 OccGen: Generative Multi-Modal 3D Occupancy Prediction for Autonomous Driving Guoqing Wang, Zhongdao Wang, Pin Tang, Jilai Zheng, Xiangxuan Ren, Bailan Feng, Chao Ma

ECCV 2024 PapMOT: Exploring Adversarial Patch Attack Against Multiple Object Tracking Jiahuan Long, Tingsong Jiang, Wen Yao, Shuai Jia, Weijia Zhang, Weien Zhou, Chao Ma, Xiaoqian Chen

ICLR 2024 Prompt Learning with Quaternion Networks Boya Shi, Zhengqin Xu, Shuai Jia, Chao Ma

NeurIPS 2024 QuadMamba: Learning Quadtree-Based Selective Scan for Visual State Space Model Fei Xie, Weijia Zhang, Zhongdao Wang, Chao Ma

ECML-PKDD 2024 SaccadeDet: A Novel Dual-Stage Architecture for Rapid and Accurate Detection in Gigapixel Images Wenxi Li, Ruxin Zhang, Haozhe Lin, Yuchen Guo, Chao Ma, Xiaokang Yang

CVPR 2024 Single-Model and Any-Modality for Video Object Tracking Zongwei Wu, Jilai Zheng, Xiangxuan Ren, Florin-Alexandru Vasluianu, Chao Ma, Danda Pani Paudel, Luc Van Gool, Radu Timofte

CVPR 2024 SparseOcc: Rethinking Sparse Latent Representation for Vision-Based Semantic Occupancy Prediction Pin Tang, Zhongdao Wang, Guoqing Wang, Jilai Zheng, Xiangxuan Ren, Bailan Feng, Chao Ma

ICML 2024 Towards Causal Foundation Model: On Duality Between Optimal Balancing and Attention Jiaqi Zhang, Joel Jennings, Agrin Hilmkil, Nick Pawlowski, Cheng Zhang, Chao Ma

AISTATS 2024 Understanding the Generalization Benefits of Late Learning Rate Decay Yinuo Ren, Chao Ma, Lexing Ying

ECCV 2024 VEON: Vocabulary-Enhanced Occupancy Prediction Jilai Zheng, Pin Tang, Zhongdao Wang, Guoqing Wang, Xiangxuan Ren, Bailan Feng, Chao Ma

CVPR 2024 VidToMe: Video Token Merging for Zero-Shot Video Editing Xirui Li, Chao Ma, Xiaokang Yang, Ming-Hsuan Yang

CVPR 2023 3D-Aware Face Swapping Yixuan Li, Chao Ma, Yichao Yan, Wenhan Zhu, Xiaokang Yang

ICLR 2023 Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning Matthew Ashman, Chao Ma, Agrin Hilmkil, Joel Jennings, Cheng Zhang

NeurIPS 2023 High Precision Causal Model Evaluation with Conditional Randomization Chao Ma, Cheng Zhang

CVPR 2023 Improving Fairness in Facial Albedo Estimation via Visual-Textual Cues Xingyu Ren, Jiankang Deng, Chao Ma, Yichao Yan, Xiaokang Yang

CVPR 2023 PlenVDB: Memory Efficient VDB-Based Radiance Fields for Fast Training and Rendering Han Yan, Celong Liu, Chao Ma, Xing Mei

ICCV 2023 ProtoTransfer: Cross-Modal Prototype Transfer for Point Cloud Segmentation Pin Tang, Hai-Ming Xu, Chao Ma

CVPR 2023 SmartAssign: Learning a Smart Knowledge Assignment Strategy for Deraining and Desnowing Yinglong Wang, Chao Ma, Jianzhuang Liu

AAAI 2023 T-Distributed Spherical Feature Representation for Imbalanced Classification Xiaoyu Yang, Yufei Chen, Xiaodong Yue, Shaoxun Xu, Chao Ma

ICLR 2023 The Asymmetric Maximum Margin Bias of Quasi-Homogeneous Neural Networks Daniel Kunin, Atsushi Yamamura, Chao Ma, Surya Ganguli

NeurIPS 2023 Understanding Multi-Phase Optimization Dynamics and Rich Nonlinear Behaviors of ReLU Networks Mingze Wang, Chao Ma

CVPR 2023 UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye View Shengchao Zhou, Weizhou Liu, Chen Hu, Shuchang Zhou, Chao Ma

CVPR 2023 VideoTrack: Learning to Track Objects via Video Transformer Fei Xie, Lei Chu, Jiahao Li, Yan Lu, Chao Ma

NeurIPSW 2022 A Causal AI Suite for Decision-Making Emre Kiciman, Eleanor Wiske Dillon, Darren Edge, Adam Foster, Agrin Hilmkil, Joel Jennings, Chao Ma, Robert Ness, Nick Pawlowski, Amit Sharma, Cheng Zhang

NeurIPS 2022 Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition Shuai Jia, Bangjie Yin, Taiping Yao, Shouhong Ding, Chunhua Shen, Xiaokang Yang, Chao Ma

ECCV 2022 AiATrack: Attention in Attention for Transformer Visual Tracking Shenyuan Gao, Chunluan Zhou, Chao Ma, Xinggang Wang, Junsong Yuan

CVPRW 2022 An Efficient Hybrid Model for Low-Light Image Enhancement in Mobile Devices Zhicheng Fu, Miao Song, Chao Ma, Joe Nasti, Vivek Tyagi, Grant Lloyd, Wei Tang

NeurIPSW 2022 Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning Matthew Ashman, Chao Ma, Agrin Hilmkil, Joel Jennings, Cheng Zhang

NeurIPSW 2022 Deep End-to-End Causal Inference Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Agrin Hilmkil, Joel Jennings, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang

NeurIPS 2022 Early Stage Convergence and Global Convergence of Training Mildly Parameterized Neural Networks Mingze Wang, Chao Ma

CVPR 2022 End-to-End Reconstruction-Classification Learning for Face Forgery Detection Junyi Cao, Chao Ma, Taiping Yao, Shen Chen, Shouhong Ding, Xiaokang Yang

CVPR 2022 Exploring Frequency Adversarial Attacks for Face Forgery Detection Shuai Jia, Chao Ma, Taiping Yao, Bangjie Yin, Shouhong Ding, Xiaokang Yang

CVPR 2022 LIFT: Learning 4D LiDAR Image Fusion Transformer for 3D Object Detection Yihan Zeng, Da Zhang, Chunwei Wang, Zhenwei Miao, Ting Liu, Xin Zhan, Dayang Hao, Chao Ma

NeurIPS 2022 Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo Ignacio Peis, Chao Ma, José Miguel Hernández-Lobato

ECCV 2022 PillarNet: Real-Time and High-Performance Pillar-Based 3D Object Detection Guangsheng Shi, Ruifeng Li, Chao Ma

ICLR 2022 Provably Convergent Quasistatic Dynamics for Mean-Field Two-Player Zero-Sum Games Chao Ma, Lexing Ying

ECCVW 2022 The Tenth Visual Object Tracking VOT2022 Challenge Results Matej Kristan, Ales Leonardis, Jirí Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Björklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernández, Kang Ben, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu-Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Dzubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhenhua Feng, Zhihong Fu, Shang Gao, Rama Krishna Gorthi, Eric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Järemo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dongwook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Bo Liu, Chang Liu, Si Liu, Huchuan Lu, Rafael M. O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel, Alireza Memarmoghadam, Christian Micheloni, Payman Moallem, Le Thanh Nguyen-Meidine, Siyang Pan, ChangBeom Park, Danda Pani Paudel, Matthieu Paul, Houwen Peng, Andreas Robinson, Litu Rout, Shiguang Shan, Kristian Simonato, Tianhui Song, Xiaoning Song, Chao Sun, Jingna Sun, Zhangyong Tang, Radu Timofte, Chi-Yi Tsai, Luc Van Gool, Om Prakash Verma, Dong Wang, Fei Wang, Liang Wang, Liangliang Wang, Lijun Wang, Limin Wang, Qiang Wang, Gangshan Wu, Jinlin Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Wei Xu, Yong Xu, Yuanyou Xu, Wanli Xue, Zizheng Xun, Bin Yan, Dawei Yang, Jinyu Yang, Wankou Yang, Xiaoyun Yang, Yi Yang, Yichun Yang, Zongxin Yang, Botao Ye, Fisher Yu, Hongyuan Yu, Jiaqian Yu, Qianjin Yu, Weichen Yu, Kang Ze, Jiang Zhai, Chengwei Zhang, Chunhu Zhang, Kaihua Zhang, Tianzhu Zhang, Wenkang Zhang, Zhibin Zhang, Zhipeng Zhang, Jie Zhao, Shao-Chuan Zhao, Feng Zheng, Haixia Zheng, Min Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang

WACV 2022 Unsupervised Sounding Object Localization with Bottom-up and Top-Down Attention Jiayin Shi, Chao Ma

WACV 2021 Cross-Modality 3D Object Detection Ming Zhu, Chao Ma, Pan Ji, Xiaokang Yang

NeurIPS 2021 Functional Variational Inference Based on Stochastic Process Generators Chao Ma, José Miguel Hernández-Lobato

NeurIPS 2021 Identifiable Generative Models for Missing Not at Random Data Imputation Chao Ma, Cheng Zhang

CVPR 2021 IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking Shuai Jia, Yibing Song, Chao Ma, Xiaokang Yang

NeurIPS 2021 Learning Transferable Features for Point Cloud Detection via 3D Contrastive Co-Training Zeng Yihan, Chunwei Wang, Yunbo Wang, Hang Xu, Chaoqiang Ye, Zhen Yang, Chao Ma

ICCV 2021 Learning to Track Objects from Unlabeled Videos Jilai Zheng, Chao Ma, Houwen Peng, Xiaokang Yang

CVPR 2021 Multi-Decoding Deraining Network and Quasi-Sparsity Based Training Yinglong Wang, Chao Ma, Bing Zeng

NeurIPS 2021 On Linear Stability of SGD and Input-Smoothness of Neural Networks Chao Ma, Lexing Ying

ICML 2021 On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and an Optimal Training Framework Zeyu Yan, Fei Wen, Rendong Ying, Chao Ma, Peilin Liu

CVPR 2021 Partial Feature Selection and Alignment for Multi-Source Domain Adaptation Yangye Fu, Ming Zhang, Xing Xu, Zuo Cao, Chao Ma, Yanli Ji, Kai Zuo, Huimin Lu

CVPR 2021 PointAugmenting: Cross-Modal Augmentation for 3D Object Detection Chunwei Wang, Chao Ma, Ming Zhu, Xiaokang Yang

ICML 2020 A Mean Field Analysis of Deep ResNet and Beyond: Towards Provably Optimization via Overparameterization from Depth Yiping Lu, Chao Ma, Yulong Lu, Jianfeng Lu, Lexing Ying

ICLRW 2020 A Mean-Field Analysis of Deep ResNet and Beyond:Towards Provable Optimization via Overparameterization from Depth Yiping Lu, Chao Ma, Yulong Lu, Jianfeng Lu, Lexing Ying

ECCV 2020 Rethinking Image Deraining via Rain Streaks and Vapors Yinglong Wang, Yibing Song, Chao Ma, Bing Zeng

ECCV 2020 Robust Tracking Against Adversarial Attacks Shuai Jia, Chao Ma, Yibing Song, Xiaokang Yang

ECCV 2020 Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering Ruixue Tang, Chao Ma, Wei Emma Zhang, Qi Wu, Xiaokang Yang

CVPRW 2020 Semi-Supervised 3D Face Representation Learning from Unconstrained Photo Collections Zhongpai Gao, Juyong Zhang, Yudong Guo, Chao Ma, Guangtao Zhai, Xiaokang Yang

NeurIPS 2020 Towards Theoretically Understanding Why SGD Generalizes Better than Adam in Deep Learning Pan Zhou, Jiashi Feng, Chao Ma, Caiming Xiong, Steven Chu Hong Hoi, Weinan E

NeurIPS 2020 VAEM: A Deep Generative Model for Heterogeneous Mixed Type Data Chao Ma, Sebastian Tschiatschek, Richard Turner, José Miguel Hernández-Lobato, Cheng Zhang

ICMLW 2020 VAEM: A Deep Generative Model for Heterogeneous Mixed Type Data Chao Ma, Sebastian Tschiatschek, Richard E. Turner, José Miguel Hernández-Lobato, Cheng Zhang

ICML 2019 EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE Chao Ma, Sebastian Tschiatschek, Konstantina Palla, Jose Miguel Hernandez-Lobato, Sebastian Nowozin, Cheng Zhang

NeurIPS 2019 Global Convergence of Gradient Descent for Deep Linear Residual Networks Lei Wu, Qingcan Wang, Chao Ma

IJCAI 2019 Randomized Greedy Search for Structured Prediction: Amortized Inference and Learning Chao Ma, F. A. Rezaur Rahman Chowdhury, Aryan Deshwal, Md. Rakibul Islam, Janardhan Rao Doppa, Dan Roth

ICCVW 2019 The Seventh Visual Object Tracking VOT2019 Challenge Results Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhenhua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou

ICML 2019 Variational Implicit Processes Chao Ma, Yingzhen Li, Jose Miguel Hernandez-Lobato

IJCAI 2018 A Joint Learning Approach to Intelligent Job Interview Assessment Dazhong Shen, Hengshu Zhu, Chen Zhu, Tong Xu, Chao Ma, Hui Xiong

NeurIPS 2018 Deep Attentive Tracking via Reciprocative Learning Shi Pu, Yibing Song, Chao Ma, Honggang Zhang, Ming-Hsuan Yang

ECCV 2018 Deep Regression Tracking with Shrinkage Loss Xiankai Lu, Chao Ma, Bingbing Ni, Xiaokang Yang, Ian Reid, Ming-Hsuan Yang

NeurIPS 2018 How SGD Selects the Global Minima in Over-Parameterized Learning: A Dynamical Stability Perspective Lei Wu, Chao Ma, Weinan E

ICCV 2017 CREST: Convolutional Residual Learning for Visual Tracking Yibing Song, Chao Ma, Lijun Gong, Jiawei Zhang, Rynson W. H. Lau, Ming-Hsuan Yang

ACML 2017 Multi-Task Structured Prediction for Entity Analysis: Search-Based Learning Algorithms Chao Ma, Janardhan Rao Doppa, Prasad Tadepalli, Hamed Shahbazi, Xiaoli Fern

ACML 2017 Select-and-Evaluate: A Learning Framework for Large-Scale Knowledge Graph Search F A Rezaur Rahman Chowdhury, Chao Ma, Md Rakibul Islam, Mohammad Hossein Namaki, Mohammad Omar Faruk, Janardhan Rao Doppa

CVPR 2017 Video Segmentation via Multiple Granularity Analysis Rui Yang, Bingbing Ni, Chao Ma, Yi Xu, Xiaokang Yang

ECCV 2016 Person Re-Identification via Recurrent Feature Aggregation Yichao Yan, Bingbing Ni, Zhichao Song, Chao Ma, Yan Yan, Xiaokang Yang

ICCV 2015 Hierarchical Convolutional Features for Visual Tracking Chao Ma, Jia-Bin Huang, Xiaokang Yang, Ming-Hsuan Yang

AAAI 2015 Learning Greedy Policies for the Easy-First Framework Jun Xie, Chao Ma, Janardhan Rao Doppa, Prashanth Mannem, Xiaoli Z. Fern, Thomas G. Dietterich, Prasad Tadepalli

CVPR 2015 Long-Term Correlation Tracking Chao Ma, Xiaokang Yang, Chongyang Zhang, Ming-Hsuan Yang

AAAI 2014 HC-Search for Multi-Label Prediction: An Empirical Study Janardhan Rao Doppa, Jun Yu, Chao Ma, Alan Fern, Prasad Tadepalli

ECCV 2014 Single-Image Super-Resolution: A Benchmark Chih-Yuan Yang, Chao Ma, Ming-Hsuan Yang