Ma, Yi

142 publications

ICML 2025 Attention-Only Transformers via Unrolled Subspace Denoising Peng Wang, Yifu Lu, Yaodong Yu, Druv Pai, Qing Qu, Yi Ma

NeurIPS 2025 Cameras as Relative Positional Encoding Ruilong Li, Brent Yi, Junchen Liu, Hang Gao, Yi Ma, Angjoo Kanazawa

ICLRW 2025 Diffusion Models Learn Low-Dimensional Distributions via Subspace Clustering Peng Wang, Huijie Zhang, Zekai Zhang, Siyi Chen, Yi Ma, Qing Qu

NeurIPS 2025 Enhancing Consistency of Flow-Based Image Editing Through Kalman Control Haozhe Chi, Zhicheng Sun, Yang Jin, Yi Ma, Jing Wang, Yadong Mu

CVPR 2025 Estimating Body and Hand Motion in an Ego-Sensed World Brent Yi, Vickie Ye, Maya Zheng, Yunqi Li, Lea Müller, Georgios Pavlakos, Yi Ma, Jitendra Malik, Angjoo Kanazawa

NeurIPS 2025 FANS: A Flatness-Aware Network Structure for Generalization in Offline Reinforcement Learning Da Wang, Yi Ma, Ting Guo, Hongyao Tang, Wei Wei, Jiye Liang

CPAL 2025 Improving Neuron-Level Interpretability with White-Box Language Models Hao Bai, Yi Ma

NeurIPS 2025 On the Edge of Memorization in Diffusion Models Sam Buchanan, Druv Pai, Yi Ma, Valentin De Bortoli

ICML 2025 SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-Training Tianzhe Chu, Yuexiang Zhai, Jihan Yang, Shengbang Tong, Saining Xie, Dale Schuurmans, Quoc V Le, Sergey Levine, Yi Ma

ICML 2025 Simplifying DINO via Coding Rate Regularization Ziyang Wu, Jingyuan Zhang, Druv Pai, Xudong Wang, Chandan Singh, Jianwei Yang, Jianfeng Gao, Yi Ma

ICLR 2025 Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Ziyang Wu, Tianjiao Ding, Yifu Lu, Druv Pai, Jingyuan Zhang, Weida Wang, Yaodong Yu, Yi Ma, Benjamin David Haeffele

ICML 2024 A Global Geometric Analysis of Maximal Coding Rate Reduction Peng Wang, Huikang Liu, Druv Pai, Yaodong Yu, Zhihui Zhu, Qing Qu, Yi Ma

NeurIPS 2024 CleanDiffuser: An Easy-to-Use Modularized Library for Diffusion Models in Decision Making Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yi Ma, Pengyi Li, Yan Zheng

CPAL 2024 Closed-Loop Transcription via Convolutional Sparse Coding Xili Dai, Ke Chen, Shengbang Tong, Jingyuan Zhang, Xingjian Gao, Mingyang Li, Druv Pai, Yuexiang Zhai, Xiaojun Yuan, Heung-Yeung Shum, Lionel Ni, Yi Ma

NeurIPS 2024 Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation Qingwen Bu, Jia Zeng, Li Chen, Yanchao Yang, Guyue Zhou, Junchi Yan, Ping Luo, Heming Cui, Yi Ma, Hongyang Li

ICML 2024 Differentially Private Representation Learning via Image Captioning Tom Sander, Yaodong Yu, Maziar Sanjabi, Alain Oliviero Durmus, Yi Ma, Kamalika Chaudhuri, Chuan Guo

NeurIPSW 2024 Diffusion Model Learns Low-Dimensional Distributions via Subspace Clustering Peng Wang, Huijie Zhang, Zekai Zhang, Siyi Chen, Yi Ma, Qing Qu

IJCAI 2024 ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles Kai Zhao, Jianye Hao, Yi Ma, Jinyi Liu, Yan Zheng, Zhaopeng Meng

CPAL 2024 Emergence of Segmentation with Minimalistic White-Box Transformers Yaodong Yu, Tianzhe Chu, Shengbang Tong, Ziyang Wu, Druv Pai, Sam Buchanan, Yi Ma

CVPR 2024 Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs Shengbang Tong, Zhuang Liu, Yuexiang Zhai, Yi Ma, Yann LeCun, Saining Xie

NeurIPS 2024 Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning Yuexiang Zhai, Hao Bai, Zipeng Lin, Jiayi Pan, Shengbang Tong, Yifei Zhou, Alane Suhr, Saining Xie, Yann LeCun, Yi Ma, Sergey Levine

ICLR 2024 Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models Tianzhe Chu, Shengbang Tong, Tianjiao Ding, Xili Dai, Benjamin David Haeffele, Rene Vidal, Yi Ma

CPAL 2024 Investigating the Catastrophic Forgetting in Multimodal Large Language Model Fine-Tuning Yuexiang Zhai, Shengbang Tong, Xiao Li, Mu Cai, Qing Qu, Yong Jae Lee, Yi Ma

NeurIPS 2024 Iteratively Refined Behavior Regularization for Offline Reinforcement Learning Yi Ma, Jianye Hao, Xiaohan Hu, Yan Zheng, Chenjun Xiao

ICML 2024 Learning a Diffusion Model Policy from Rewards via Q-Score Matching Michael Psenka, Alejandro Escontrela, Pieter Abbeel, Yi Ma

CoRL 2024 Lessons from Learning to Spin “Pens” Jun Wang, Ying Yuan, Haichuan Che, Haozhi Qi, Yi Ma, Jitendra Malik, Xiaolong Wang

ICLR 2024 Masked Completion via Structured Diffusion with White-Box Transformers Druv Pai, Sam Buchanan, Ziyang Wu, Yaodong Yu, Yi Ma

ICLR 2024 RLIF: Interactive Imitation Learning as Reinforcement Learning Jianlan Luo, Perry Dong, Yuexiang Zhai, Yi Ma, Sergey Levine

JMLR 2024 Representation Learning via Manifold Flattening and Reconstruction Michael Psenka, Druv Pai, Vishal Raman, Shankar Sastry, Yi Ma

ICML 2024 Rethinking Decision Transformer via Hierarchical Reinforcement Learning Yi Ma, Jianye Hao, Hebin Liang, Chenjun Xiao

NeurIPS 2024 Scaling White-Box Transformers for Vision Jinrui Yang, Xianhang Li, Druv Pai, Yuyin Zhou, Yi Ma, Yaodong Yu, Cihang Xie

ICLR 2024 Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback Yifu Yuan, Jianye Hao, Yi Ma, Zibin Dong, Hebin Liang, Jinyi Liu, Zhixin Feng, Kai Zhao, Yan Zheng

ICML 2024 Unlock the Cognitive Generalization of Deep Reinforcement Learning via Granular Ball Representation Jiashun Liu, Jianye Hao, Yi Ma, Shuyin Xia

NeurIPS 2024 Unlock the Intermittent Control Ability of Model Free Reinforcement Learning Jiashun Liu, Jianye Hao, Xiaotian Hao, Yi Ma, Yan Zheng, Yujing Hu, Tangji Lv

CPAL 2024 Unsupervised Learning of Structured Representation via Closed-Loop Transcription Shengbang Tong, Xili Dai, Yubei Chen, Mingyang Li, Zengyi Li, Brent Yi, Yann LeCun, Yi Ma

ICML 2024 ViP: A Differentially Private Foundation Model for Computer Vision Yaodong Yu, Maziar Sanjabi, Yi Ma, Kamalika Chaudhuri, Chuan Guo

JMLR 2024 White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is? Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Hao Bai, Yuexiang Zhai, Benjamin D. Haeffele, Yi Ma

ICLRW 2024 Xddpm: Explainable Denoising Diffusion Prob- Abilistic Model for Scientific Modeling Qianru Zhang, Chenglei Yu, Yudong Yan, Xiangyu Kuang, Yi Ma, Yuansheng Cao, Siu Ming Yiu, Tailin Wu

ICMLW 2023 A Policy-Decoupled Method for High-Quality Data Augmentation in Offline Reinforcement Learning Shixi Lian, Yi Ma, Jinyi Liu, Jianye Hao, Yan Zheng, Zhaopeng Meng

NeurIPS 2023 Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning Mitsuhiko Nakamoto, Simon Zhai, Anikait Singh, Max Sobol Mark, Yi Ma, Chelsea Finn, Aviral Kumar, Sergey Levine

ICLRW 2023 Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning Mitsuhiko Nakamoto, Yuexiang Zhai, Anikait Singh, Yi Ma, Chelsea Finn, Aviral Kumar, Sergey Levine

ICMLW 2023 Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning Mitsuhiko Nakamoto, Yuexiang Zhai, Anikait Singh, Max Sobol Mark, Yi Ma, Chelsea Finn, Aviral Kumar, Sergey Levine

ICCV 2023 Canonical Factors for Hybrid Neural Fields Brent Yi, Weijia Zeng, Sam Buchanan, Yi Ma

NeurIPSW 2023 Emergence of Segmentation with Minimalistic White-Box Transformers Yaodong Yu, Tianzhe Chu, Shengbang Tong, Ziyang Wu, Druv Pai, Sam Buchanan, Yi Ma

CoRL 2023 General In-Hand Object Rotation with Vision and Touch Haozhi Qi, Brent Yi, Sudharshan Suresh, Mike Lambeta, Yi Ma, Roberto Calandra, Jitendra Malik

ICMLW 2023 Improving Offline-to-Online Reinforcement Learning with Q-Ensembles Kai Zhao, Yi Ma, Jinyi Liu, Jianye Hao, Yan Zheng, Zhaopeng Meng

ICLR 2023 Incremental Learning of Structured Memory via Closed-Loop Transcription Shengbang Tong, Xili Dai, Ziyang Wu, Mingyang Li, Brent Yi, Yi Ma

NeurIPSW 2023 Investigating the Catastrophic Forgetting in Multimodal Large Language Models Yuexiang Zhai, Shengbang Tong, Xiao Li, Mu Cai, Qing Qu, Yong Jae Lee, Yi Ma

NeurIPSW 2023 Iteratively Refined Behavior Regularization for Offline Reinforcement Learning Xiaohan Hu, Yi Ma, Chenjun Xiao, Yan Zheng, Jianye Hao

ICLR 2023 Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform Yubei Chen, Zeyu Yun, Yi Ma, Bruno Olshausen, Yann LeCun

NeurIPS 2023 Reining Generalization in Offline Reinforcement Learning via Representation Distinction Yi Ma, Hongyao Tang, Dong Li, Zhaopeng Meng

ICMLW 2023 SCAFF-PD: Communication Efficient Fair and Robust Federated Learning Yaodong Yu, Sai Praneeth Karimireddy, Yi Ma, Michael Jordan

AAAI 2023 SplitNet: A Reinforcement Learning Based Sequence Splitting Method for the MinMax Multiple Travelling Salesman Problem Hebin Liang, Yi Ma, Zilin Cao, Tianyang Liu, Fei Ni, Zhigang Li, Jianye Hao

ICML 2023 Understanding the Complexity Gains of Single-Task RL with a Curriculum Qiyang Li, Yuexiang Zhai, Yi Ma, Sergey Levine

ICCV 2023 Unsupervised Manifold Linearizing and Clustering Tianjiao Ding, Shengbang Tong, Kwan Ho Ryan Chan, Xili Dai, Yi Ma, Benjamin D. Haeffele

NeurIPS 2023 White-Box Transformers via Sparse Rate Reduction Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Benjamin Haeffele, Yi Ma

AISTATS 2022 On the Convergence of Stochastic Extragradient for Bilinear Games Using Restarted Iteration Averaging Chris Junchi Li, Yaodong Yu, Nicolas Loizou, Gauthier Gidel, Yi Ma, Nicolas Le Roux, Michael Jordan

JAIR 2022 Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning Yuexiang Zhai, Christina Baek, Zhengyuan Zhou, Jiantao Jiao, Yi Ma

CVPR 2022 Efficient Maximal Coding Rate Reduction by Variational Forms Christina Baek, Ziyang Wu, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin D. Haeffele

CVPR 2022 EvUnroll: Neuromorphic Events Based Rolling Shutter Image Correction Xinyu Zhou, Peiqi Duan, Yi Ma, Boxin Shi

CVPRW 2022 Image Quality Assessment with Transformers and Multi-Metric Fusion Modules Wei Jiang, Litian Li, Yi Ma, Yongqi Zhai, Zheng Yang, Ronggang Wang

CoRL 2022 In-Hand Object Rotation via Rapid Motor Adaptation Haozhi Qi, Ashish Kumar, Roberto Calandra, Yi Ma, Jitendra Malik

WACV 2022 Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image Cheng Yang, Jia Zheng, Xili Dai, Rui Tang, Yi Ma, Xiaojun Yuan

ICLRW 2022 PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations Sang Tong, Hongyao Tang, Yi Ma, Jianye Hao, Yan Zheng, Zhaopeng Meng, Boyan Li, Zhen Wang

IJCAI 2022 PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations Tong Sang, Hongyao Tang, Yi Ma, Jianye Hao, Yan Zheng, Zhaopeng Meng, Boyan Li, Zhen Wang

ICML 2022 Predicting Out-of-Distribution Error with the Projection Norm Yaodong Yu, Zitong Yang, Alexander Wei, Yi Ma, Jacob Steinhardt

JMLR 2022 ReduNet: A White-Box Deep Network from the Principle of Maximizing Rate Reduction Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, Yi Ma

NeurIPS 2022 Revisiting Sparse Convolutional Model for Visual Recognition Xili Dai, Mingyang Li, Pengyuan Zhai, Shengbang Tong, Xingjian Gao, Shao-Lun Huang, Zhihui Zhu, Chong You, Yi Ma

NeurIPS 2022 Robust Calibration with Multi-Domain Temperature Scaling Yaodong Yu, Stephen Bates, Yi Ma, Michael I. Jordan

ICMLW 2022 Robust Calibration with Multi-Domain Temperature Scaling Yaodong Yu, Stephen Bates, Yi Ma, Michael Jordan

NeurIPS 2022 TCT: Convexifying Federated Learning Using Bootstrapped Neural Tangent Kernels Yaodong Yu, Alexander Wei, Sai Praneeth Karimireddy, Yi Ma, Michael I. Jordan

NeurIPS 2021 A Hierarchical Reinforcement Learning Based Optimization Framework for Large-Scale Dynamic Pickup and Delivery Problems Yi Ma, Xiaotian Hao, Jianye Hao, Jiawen Lu, Xing Liu, Tong Xialiang, Mingxuan Yuan, Zhigang Li, Jie Tang, Zhaopeng Meng

NeurIPSW 2021 An Empirical Study of Pre-Trained Vision Models on Out-of-Distribution Generalization Yaodong Yu, Heinrich Jiang, Dara Bahri, Hossein Mobahi, Seungyeon Kim, Ankit Singh Rawat, Andreas Veit, Yi Ma

CVPR 2021 EventZoom: Learning to Denoise and Super Resolve Neuromorphic Events Peiqi Duan, Zihao W. Wang, Xinyu Zhou, Yi Ma, Boxin Shi

CVPR 2021 Incremental Learning via Rate Reduction Ziyang Wu, Christina Baek, Chong You, Yi Ma

ICLR 2021 Learning Long-Term Visual Dynamics with Region Proposal Interaction Networks Haozhi Qi, Xiaolong Wang, Deepak Pathak, Yi Ma, Jitendra Malik

CVPR 2021 NeRD: Neural 3D Reflection Symmetry Detector Yichao Zhou, Shichen Liu, Yi Ma

CVPRW 2021 Variable Rate ROI Image Compression Optimized for Visual Quality Yi Ma, Yongqi Zhai, Chunhui Yang, Jiayu Yang, Ruofan Wang, Jing Zhou, Kai Li, Ying Chen, Ronggang Wang

JMLR 2020 Complete Dictionary Learning via L4-Norm Maximization over the Orthogonal Group Yuexiang Zhai, Zitong Yang, Zhenyu Liao, John Wright, Yi Ma

ICML 2020 Deep Isometric Learning for Visual Recognition Haozhi Qi, Chong You, Xiaolong Wang, Yi Ma, Jitendra Malik

ICML 2020 Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising Xiaotian Hao, Zhaoqing Peng, Yi Ma, Guan Wang, Junqi Jin, Jianye Hao, Shan Chen, Rongquan Bai, Mingzhou Xie, Miao Xu, Zhenzhe Zheng, Chuan Yu, Han Li, Jian Xu, Kun Gai

IJCAI 2020 KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge Peng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng

CVPRW 2020 Learned Low Bit-Rate Image Compression with Adversarial Mechanism Jiayu Yang, Chunhui Yang, Yi Ma, Shiyi Liu, Ronggang Wang

NeurIPS 2020 Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction Yaodong Yu, Kwan Ho Ryan Chan, Chong You, Chaobing Song, Yi Ma

IJCAI 2020 Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted B-Matching Problems in Online Advertising Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai

NeurIPS 2020 Optimistic Dual Extrapolation for Coherent Non-Monotone Variational Inequalities Chaobing Song, Zhengyuan Zhou, Yichao Zhou, Yong Jiang, Yi Ma

ICML 2020 Rethinking Bias-Variance Trade-Off for Generalization of Neural Networks Zitong Yang, Yaodong Yu, Chong You, Jacob Steinhardt, Yi Ma

NeurIPS 2020 Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-Parameterization Chong You, Zhihui Zhu, Qing Qu, Yi Ma

ICLR 2020 Understanding L4-Based Dictionary Learning: Interpretation, Stability, and Robustness Yuexiang Zhai, Hermish Mehta, Zhengyuan Zhou, Yi Ma

NeurIPS 2020 Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization Chaobing Song, Yong Jiang, Yi Ma

NeurIPS 2019 NeurVPS: Neural Vanishing Point Scanning via Conic Convolution Yichao Zhou, Haozhi Qi, Jingwei Huang, Yi Ma

ECCV 2018 Fine-Grained Video Categorization with Redundancy Reduction Attention Chen Zhu, Xiao Tan, Feng Zhou, Xiao Liu, Kaiyu Yue, Errui Ding, Yi Ma

ICCV 2017 Structured Attentions for Visual Question Answering Chen Zhu, Yanpeng Zhao, Shuaiyi Huang, Kewei Tu, Yi Ma

CVPR 2016 Single-Image Crowd Counting via Multi-Column Convolutional Neural Network Yingying Zhang, Desen Zhou, Siqin Chen, Shenghua Gao, Yi Ma

CVPR 2015 Generalized Tensor Total Variation Minimization for Visual Data Recovery Xiaojie Guo, Yi Ma

ICCV 2015 Low-Rank Tensor Approximation with Laplacian Scale Mixture Modeling for Multiframe Image Denoising Weisheng Dong, Guangyu Li, Guangming Shi, Xin Li, Yi Ma

AAAI 2014 Hybrid Singular Value Thresholding for Tensor Completion Xiaoqin Zhang, Zhengyuan Zhou, Di Wang, Yi Ma

CVPR 2014 Partial Occlusion Handling for Visual Tracking via Robust Part Matching Tianzhu Zhang, Kui Jia, Changsheng Xu, Yi Ma, Narendra Ahuja

ECCV 2014 Robust Foreground Detection Using Smoothness and Arbitrariness Constraints Xiaojie Guo, Xinggang Wang, Liang Yang, Xiaochun Cao, Yi Ma

CVPR 2014 Robust Separation of Reflection from Multiple Images Xiaojie Guo, Xiaochun Cao, Yi Ma

CVPR 2013 Learning by Associating Ambiguously Labeled Images Zinan Zeng, Shijie Xiao, Kui Jia, Tsung-Han Chan, Shenghua Gao, Dong Xu, Yi Ma

CVPR 2013 Plane-Based Content Preserving Warps for Video Stabilization Zihan Zhou, Hailin Jin, Yi Ma

NeurIPS 2013 Simultaneous Rectification and Alignment via Robust Recovery of Low-Rank Tensors Xiaoqin Zhang, Di Wang, Zhengyuan Zhou, Yi Ma

CVPR 2013 Single-Sample Face Recognition with Image Corruption and Misalignment via Sparse Illumination Transfer Liansheng Zhuang, Allen Y. Yang, Zihan Zhou, S. Shankar Sastry, Yi Ma

CVPR 2013 Video Editing with Temporal, Spatial and Appearance Consistency Xiaojie Guo, Xiaochun Cao, Xiaowu Chen, Yi Ma

CVPR 2012 Detecting Texts of Arbitrary Orientations in Natural Images Cong Yao, Xiang Bai, Wenyu Liu, Yi Ma, Zhuowen Tu

CVPR 2012 Non-Negative Low Rank and Sparse Graph for Semi-Supervised Learning Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma, Xin Zhang, Nenghai Yu

ECCV 2012 Repairing Sparse Low-Rank Texture Xiao Liang, Xiang Ren, Zhengdong Zhang, Yi Ma

CVPR 2012 Robust Plane-Based Structure from Motion Zihan Zhou, Hailin Jin, Yi Ma

ECCV 2012 Robust and Practical Face Recognition via Structured Sparsity Kui Jia, Tsung-Han Chan, Yi Ma

CVPR 2012 Seeing Through the Blur Hossein Mobahi, C. Lawrence Zitnick, Yi Ma

ECCV 2012 Towards Optimal Design of Time and Color Multiplexing Codes Tsung-Han Chan, Kui Jia, Eliot Wycoff, Chong-Yung Chi, Yi Ma

CVPR 2011 Camera Calibration with Lens Distortion from Low-Rank Textures Zhengdong Zhang, Yasuyuki Matsushita, Yi Ma

ICCV 2011 Unwrapping Low-Rank Textures on Generalized Cylindrical Surfaces Zhengdong Zhang, Xiao Liang, Yi Ma

CVPR 2010 Compact Projection: Simple and Efficient near Neighbor Search with Practical Memory Requirements Kerui Min, Linjun Yang, John Wright, Lei Wu, Xian-Sheng Hua, Yi Ma

CVPR 2010 RASL: Robust Alignment by Sparse and Low-Rank Decomposition for Linearly Correlated Images YiGang Peng, Arvind Ganesh, John Wright, Wenli Xu, Yi Ma

ICCV 2009 Face Recognition with Contiguous Occlusion Using Markov Random Fields Zihan Zhou, Andrew Wagner, Hossein Mobahi, John Wright, Yi Ma

NeurIPS 2009 Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization John Wright, Arvind Ganesh, Shankar Rao, Yigang Peng, Yi Ma

CVPR 2009 Towards a Practical Face Recognition System: Robust Registration and Illumination by Sparse Representation Andrew Wagner, John Wright, Arvind Ganesh, Zihan Zhou, Yi Ma

CVPR 2008 Image Super-Resolution as Sparse Representation of Raw Image Patches Jianchao Yang, John Wright, Thomas S. Huang, Yi Ma

CVPR 2008 Motion Segmentation via Robust Subspace Separation in the Presence of Outlying, Incomplete, or Corrupted Trajectories Shankar R. Rao, Roberto Tron, René Vidal, Yi Ma

NeurIPS 2007 Classification via Minimum Incremental Coding Length (MICL) John Wright, Yangyu Tao, Zhouchen Lin, Yi Ma, Heung-yeung Shum

ECCV 2006 Database-Guided Simultaneous Multi-Slice 3D Segmentation for Volumetric Data Wei Hong, Bogdan Georgescu, Xiang Sean Zhou, Sriram Krishnan, Yi Ma, Dorin Comaniciu

ECCV 2006 Dynamical Vision, ICCV 2005 and ECCV 2006 Workshops, WDV 2005 and WDV 2006, Beijing, China, October 21, 2005, Graz, Austria, May 13, 2006. Revised Papers René Vidal, Anders Heyden, Yi Ma

CVPR 2006 Homography from Coplanar Ellipses with Application to Forensic Blood Splatter Reconstruction John Wright, Andrew Wagner, Shankar R. Rao, Yi Ma

CVPRW 2006 Robust Statistical Estimation and Segmentation of Multiple Subspaces Allen Y. Yang, Shankar R. Rao, Yi Ma

ICCV 2005 A Multi-Scale Hybrid Linear Model for Lossy Image Representation Wei Hong, John Wright, Kun Huang, Yi Ma

ICCV 2005 Segmentation of Hybrid Motions via Hybrid Quadratic Surface Analysis Shankar R. Rao, Allen Y. Yang, Andrew Wagner, Yi Ma

CVPR 2005 Segmentation of a Piece-Wise Planar Scene from Perspective Images Allen Y. Yang, Shankar R. Rao, Andrew Wagner, Yi Ma

CVPR 2004 A New GPCA Algorithm for Clustering Subspaces by Fitting, Differentiating and Dividing Polynomials René Vidal, Yi Ma, Jacopo Piazzi

ECCV 2004 A Unified Algebraic Approach to 2-D and 3-D Motion Segmentation René Vidal, Yi Ma

CVPR 2004 Minimum Effective Dimension for Mixtures of Subspaces: A Robust GPCA Algorithm and Its Applications Kun Huang, Yi Ma, René Vidal

ECCV 2004 Reconstruction of 3-D Symmetric Curves from Perspective Images Without Discrete Features Wei Hong, Yi Ma, Yizhou Yu

CVPR 2003 Generalized Principal Component Analysis (GPCA) René Vidal, Yi Ma, Shankar Sastry

ICCV 2003 Geometric Segmentation of Perspective Images Based on Symmetry Groups Allen Y. Yang, Shankar R. Rao, Kun Huang, Wei Hong, Yi Ma

ICCV 2003 On Exploiting Occlusions in Multiple-View Geometry Paolo Favaro, Alessandro Duci, Yi Ma, Stefano Soatto

ECCV 2002 Generalized Rank Conditions in Multiple View Geometry with Applications to Dynamical Scenes Kun Huang, Robert M. Fossum, Yi Ma

ICCV 2001 Optimal Motion Estimation from Multiview Normalized Epipolar Constraint René Vidal, Yi Ma, Shawn Hsu, Shankar Sastry

CVPR 2001 Recognition of Human Gaits Alessandro Bissacco, Alessandro Chiuso, Yi Ma, Stefano Soatto

ECCV 2000 Kruppa Equation Revisited: Its Renormalization and Degeneracy Yi Ma, René Vidal, Jana Kosecka, Shankar Sastry

ICCV 1999 Euclidean Reconstruction and Reprojection up to Subgroups Yi Ma, Stefano Soatto, Jana Kosecka, Shankar Sastry

ECCV 1998 Motion Recovery from Image Sequences: Discrete Viewpoint vs. Differential Viewpoint Yi Ma, Jana Kosecka, Shankar Sastry