Yi Ma

According to our database, Yi Ma authored at least 223 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Ctrl123: Consistent Novel View Synthesis via Closed-Loop Transcription.

Hongxiang Zhao, Xili Dai, Jianan Wang, Shengbang Tong, Jingyuan Zhang, Weida Wang, Lei Zhang, Yi Ma

CoRR, 2024

Differentially Private Representation Learning via Image Captioning.

Tom Sander, Yaodong Yu, Maziar Sanjabi, Alain Durmus, Yi Ma, Kamalika Chaudhuri, Chuan Guo

CoRR, 2024

Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition.

Chun-Hsiao Yeh, Ta Ying Cheng, He-Yen Hsieh, Chuan-En Lin, Yi Ma, Andrew Markham, Niki Trigoni, Hsiang-Tsung Kung, Yubei Chen

CoRR, 2024

Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs.

Shengbang Tong, Zhuang Liu, Yuexiang Zhai, Yi Ma, Yann LeCun, Saining Xie

CoRR, 2024

2023

NeuroZoom: Denoising and Super Resolving Neuromorphic Events and Spikes.

Peiqi Duan, Yi Ma, Xinyu Zhou, Xinyu Shi, Zihao W. Wang, Tiejun Huang, Boxin Shi

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Pursuit of a discriminative representation for multiple subspaces via sequential games.

Druv Pai, Michael Psenka, Chih-Yuan Chiu, Manxi Wu, Edgar Dobriban, Yi Ma

J. Frankl. Inst., 2023

Learning a Diffusion Model Policy from Rewards via Q-Score Matching.

Michael Psenka, Alejandro Escontrela, Pieter Abbeel, Yi Ma

CoRR, 2023

EventAid: Benchmarking Event-aided Image/Video Enhancement Algorithms with Real-captured Hybrid Dataset.

Peiqi Duan, Boyu Li, Yixin Yang, Hanyue Lou, Minggui Teng, Yi Ma, Boxin Shi

CoRR, 2023

Role of Uncertainty in Anticipatory Trajectory Prediction for a Ping-Pong Playing Robot.

Nima Rahmanian, Michael Gupta, Renzo Soatto, Srisai Nachuri, Michael Psenka, Yi Ma, S. Shankar Sastry

CoRR, 2023

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

CoRR, 2023

RLIF: Interactive Imitation Learning as Reinforcement Learning.

Jianlan Luo, Perry Dong, Yuexiang Zhai, Yi Ma, Sergey Levine

CoRR, 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

CoRR, 2023

Emergence of Segmentation with Minimalistic White-Box Transformers.

Yaodong Yu, Tianzhe Chu, Shengbang Tong, Ziyang Wu, Druv Pai, Sam Buchanan, Yi Ma

CoRR, 2023

Scaff-PD: Communication Efficient Fair and Robust Federated Learning.

Yaodong Yu, Sai Praneeth Karimireddy, Yi Ma, Michael I. Jordan

CoRR, 2023

ViP: A Differentially Private Foundation Model for Computer Vision.

Yaodong Yu, Maziar Sanjabi, Yi Ma, Kamalika Chaudhuri, Chuan Guo

CoRR, 2023

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, René Vidal, Yi Ma

CoRR, 2023

Representation Learning via Manifold Flattening and Reconstruction.

Michael Psenka, Druv Pai, Vishal Raman, Shankar Sastry, Yi Ma

CoRR, 2023

EMP-SSL: Towards Self-Supervised Learning in One Training Epoch.

Shengbang Tong, Yubei Chen, Yi Ma, Yann LeCun

CoRR, 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

CoRR, 2023

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 M. Ni, Yi Ma

CoRR, 2023

White-Box Transformers via Sparse Rate Reduction.

Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Benjamin D. Haeffele, Yi Ma

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Understanding the Complexity Gains of Single-Task RL with a Curriculum.

Qiyang Li, Yuexiang Zhai, Yi Ma, Sergey Levine

Proceedings of the International Conference on Machine Learning, 2023

Incremental Learning of Structured Memory via Closed-Loop Transcription.

Shengbang Tong, Xili Dai, Ziyang Wu, Mingyang Li, Brent Yi, Yi Ma

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform.

Yubei Chen, Zeyu Yun, Yi Ma, Bruno A. Olshausen, Yann LeCun

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Canonical Factors for Hybrid Neural Fields.

Brent Yi, Weijia Zeng, Sam Buchanan, Yi Ma

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Unsupervised Manifold Linearizing and Clustering.

Tianjiao Ding, Shengbang Tong, Kwan Ho Ryan Chan, Xili Dai, Yi Ma, Benjamin D. Haeffele

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

General In-hand Object Rotation with Vision and Touch.

Haozhi Qi, Brent Yi, Sudharshan Suresh, Mike Lambeta, Yi Ma, Roberto Calandra, Jitendra Malik

Proceedings of the Conference on Robot Learning, 2023

2022

Learning and Meshing From Deep Implicit Surface Networks Using an Efficient Implementation of Analytic Marching.

Jiabao Lei, Kui Jia, Yi Ma

IEEE Trans. Pattern Anal. Mach. Intell., 2022

On the principles of Parsimony and Self-consistency for the emergence of intelligence.

Yi Ma, Doris Tsao, Heung-Yeung Shum

Frontiers Inf. Technol. Electron. Eng., 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

J. Mach. Learn. Res., 2022

Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning.

Yuexiang Zhai, Christina Baek, Zhengyuan Zhou, Jiantao Jiao, Yi Ma

J. Artif. Intell. Res., 2022

Fully convolutional line parsing.

Xili Dai, Haigang Gong, Shuai Wu, Xiaojun Yuan, Yi Ma

Neurocomputing, 2022

CTRL: Closed-Loop Transcription to an LDR via Minimaxing Rate Reduction.

Xili Dai, Shengbang Tong, Mingyang Li, Ziyang Wu, Michael Psenka, Kwan Ho Ryan Chan, Pengyuan Zhai, Yaodong Yu, Xiaojun Yuan, Heung-Yeung Shum, Yi Ma

Entropy, 2022

Unsupervised Learning of Structured Representations via Closed-Loop Transcription.

Shengbang Tong, Xili Dai, Yubei Chen, Mingyang Li, Zengyi Li, Brent Yi, Yann LeCun, Yi Ma

CoRR, 2022

Minimalistic Unsupervised Learning with the Sparse Manifold Transform.

Yubei Chen, Zeyu Yun, Yi Ma, Bruno A. Olshausen, Yann LeCun

CoRR, 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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Robust Calibration with Multi-domain Temperature Scaling.

Yaodong Yu, Stephen Bates, Yi Ma, Michael I. Jordan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels.

Yaodong Yu, Alexander Wei, Sai Praneeth Karimireddy, Yi Ma, Michael I. Jordan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Predicting Out-of-Distribution Error with the Projection Norm.

Yaodong Yu, Zitong Yang, Alexander Wei, Yi Ma, Jacob Steinhardt

Proceedings of the International Conference on Machine Learning, 2022

EvUnroll: Neuromorphic Events based Rolling Shutter Image Correction.

Xinyu Zhou, Peiqi Duan, Yi Ma, Boxin Shi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Efficient Maximal Coding Rate Reduction by Variational Forms.

Christina Baek, Ziyang Wu, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin D. Haeffele

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

In-Hand Object Rotation via Rapid Motor Adaptation.

Haozhi Qi, Ashish Kumar, Roberto Calandra, Yi Ma, Jitendra Malik

Proceedings of the Conference on Robot Learning, 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 I. Jordan

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Unified Acceleration of High-Order Algorithms under General Hölder Continuity.

Chaobing Song, Yong Jiang, Yi Ma

SIAM J. Optim., 2021

Robust Low-Rank Tensor Recovery with Rectification and Alignment.

Xiaoqin Zhang, Di Wang, Zhengyuan Zhou, Yi Ma

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction.

Xili Dai, Shengbang Tong, Mingyang Li, Ziyang Wu, Kwan Ho Ryan Chan, Pengyuan Zhai, Yaodong Yu, Michael Psenka, Xiaojun Yuan, Heung-Yeung Shum, Yi Ma

CoRR, 2021

Computational Benefits of Intermediate Rewards for Hierarchical Planning.

Yuexiang Zhai, Christina Baek, Zhengyuan Zhou, Jiantao Jiao, Yi Ma

CoRR, 2021

On the Convergence of Stochastic Extragradient for Bilinear Games with Restarted Iteration Averaging.

Chris Junchi Li, Yaodong Yu, Nicolas Loizou, Gauthier Gidel, Yi Ma, Nicolas Le Roux, Michael I. Jordan

CoRR, 2021

Fully Convolutional Line Parsing.

Xili Dai, Xiaojun Yuan, Haigang Gong, Yi Ma

CoRR, 2021

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

CoRR, 2021

Understanding Generalization in Adversarial Training via the Bias-Variance Decomposition.

Yaodong Yu, Zitong Yang, Edgar Dobriban, Jacob Steinhardt, Yi Ma

CoRR, 2021

Adversarial Robustness of Stabilized Neural ODE Might be from Obfuscated Gradients.

Yifei Huang, Yaodong Yu, Hongyang Zhang, Yi Ma, Yuan Yao

Proceedings of the Mathematical and Scientific Machine Learning, 2021

Learning Long-term Visual Dynamics with Region Proposal Interaction Networks.

Haozhi Qi, Xiaolong Wang, Deepak Pathak, Yi Ma, Jitendra Malik

Proceedings of the 9th International Conference on Learning Representations, 2021

NeRD: Neural 3D Reflection Symmetry Detector.

Yichao Zhou, Shichen Liu, Yi Ma

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Incremental Learning via Rate Reduction.

Ziyang Wu, Christina Baek, Chong You, Yi Ma

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

EventZoom: Learning To Denoise and Super Resolve Neuromorphic Events.

Peiqi Duan, Zihao W. Wang, Xinyu Zhou, Yi Ma, Boxin Shi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Parameter-Free Gaussian PSF Model for Extended Depth of Field in Brightfield Microscopy.

Xu Zhou, Rafael Molina, Yi Ma, Tianfu Wang, Dong Ni

IEEE Trans. Image Process., 2020

Complete Dictionary Learning via L4-Norm Maximization over the Orthogonal Group.

Yuexiang Zhai, Zitong Yang, Zhenyu Liao, John Wright, Yi Ma

J. Mach. Learn. Res., 2020

Deep Networks from the Principle of Rate Reduction.

Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, Yi Ma

CoRR, 2020

Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated Gradients.

Yifei Huang, Yaodong Yu, Hongyang Zhang, Yi Ma, Yuan Yao

CoRR, 2020

HoliCity: A City-Scale Data Platform for Learning Holistic 3D Structures.

Yichao Zhou, Jingwei Huang, Xili Dai, Linjie Luo, Zhili Chen, Yi Ma

CoRR, 2020

Stochastic Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization.

Chaobing Song, Yong Jiang, Yi Ma

CoRR, 2020

Learning to Detect 3D Reflection Symmetry for Single-View Reconstruction.

Yichao Zhou, Shichen Liu, Yi Ma

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization.

Chong You, Zhihui Zhu, Qing Qu, Yi Ma

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities.

Chaobing Song, Zhengyuan Zhou, Yichao Zhou, Yong Jiang, Yi Ma

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization.

Chaobing Song, Yong Jiang, Yi Ma

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Disentangled Representation Learning for Controllable Image Synthesis: An Information-Theoretic Perspective.

Shichang Tang, Xu Zhou, Xuming He, Yi Ma

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Rethinking Bias-Variance Trade-off for Generalization of Neural Networks.

Zitong Yang, Yaodong Yu, Chong You, Jacob Steinhardt, Yi Ma

Proceedings of the 37th International Conference on Machine Learning, 2020

Deep Isometric Learning for Visual Recognition.

Haozhi Qi, Chong You, Xiaolong Wang, Yi Ma, Jitendra Malik

Proceedings of the 37th International Conference on Machine Learning, 2020

Understanding l4-based Dictionary Learning: Interpretation, Stability, and Robustness.

Yuexiang Zhai, Hermish Mehta, Zhengyuan Zhou, Yi Ma

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Complete Dictionary Learning via 𝓁⁴-Norm Maximization over the Orthogonal Group.

Yuexiang Zhai, Zitong Yang, Zhenyu Liao, John Wright, Yi Ma

CoRR, 2019

Towards Unified Acceleration of High-Order Algorithms under Hölder Continuity and Uniform Convexity.

Chaobing Song, Yi Ma

CoRR, 2019

NeurVPS: Neural Vanishing Point Scanning via Conic Convolution.

Yichao Zhou, Haozhi Qi, Jingwei Huang, Yi Ma

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning to Reconstruct 3D Manhattan Wireframes From a Single Image.

Yichao Zhou, Haozhi Qi, Yuexiang Zhai, Qi Sun, Zhili Chen, Li-Yi Wei, Yi Ma

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

End-to-End Wireframe Parsing.

Yichao Zhou, Haozhi Qi, Yi Ma

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Robust Tensor Approximation With Laplacian Scale Mixture Modeling for Multiframe Image and Video Denoising.

Weisheng Dong, Tao Huang, Guangming Shi, Yi Ma, Xin Li

IEEE J. Sel. Top. Signal Process., 2018

Learning to Parse Wireframes in Images of Man-Made Environments.

Kun Huang, Yifan Wang, Zihan Zhou, Tianjiao Ding, Shenghua Gao, Yi Ma

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Label Information Guided Graph Construction for Semi-Supervised Learning.

Liansheng Zhuang, Zihan Zhou, Shenghua Gao, Jingwen Yin, Zhouchen Lin, Yi Ma

IEEE Trans. Image Process., 2017

2016

Texture Repairing by Unified Low Rank Optimization.

Xiao Liang, Xiang Ren, Zhengdong Zhang, Yi Ma

J. Comput. Sci. Technol., 2016

Locality-preserving low-rank representation for graph construction from nonlinear manifolds.

Liansheng Zhuang, Jingjing Wang, Zhouchen Lin, Allen Y. Yang, Yi Ma, Nenghai Yu

Neurocomputing, 2016

ROML: A Robust Feature Correspondence Approach for Matching Objects in A Set of Images.

Kui Jia, Tsung-Han Chan, Zinan Zeng, Shenghua Gao, Gang Wang, Tianzhu Zhang, Yi Ma

Int. J. Comput. Vis., 2016

Single-Image Crowd Counting via Multi-Column Convolutional Neural Network.

Yingying Zhang, Desen Zhou, Siqin Chen, Shenghua Gao, Yi Ma

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Robust Plane-Based Calibration of Multiple Non-Overlapping Cameras.

Chen Zhu, Zihan Zhou, Ziran Xing, Yanbing Dong, Yi Ma, Jingyi Yu

Proceedings of the Fourth International Conference on 3D Vision, 2016

Generalized Principal Component Analysis.

René Vidal, Yi Ma, S. Shankar Sastry

Interdisciplinary applied mathematics 40, Springer, ISBN: 978-0-387-87810-2, 2016

2015

Non-blind deblurring of structured images with geometric deformation.

Xin Zhang, Fuchun Sun, Guangcan Liu, Yi Ma

Vis. Comput., 2015

Constructing a Nonnegative Low-Rank and Sparse Graph With Data-Adaptive Features.

Liansheng Zhuang, Shenghua Gao, Jinhui Tang, Jingjing Wang, Zhouchen Lin, Yi Ma, Nenghai Yu

IEEE Trans. Image Process., 2015

PCANet: A Simple Deep Learning Baseline for Image Classification?

Tsung-Han Chan, Kui Jia, Shenghua Gao, Jiwen Lu, Zinan Zeng, Yi Ma

IEEE Trans. Image Process., 2015

Sparse Illumination Learning and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment.

Liansheng Zhuang, Tsung-Han Chan, Allen Y. Yang, S. Shankar Sastry, Yi Ma

Int. J. Comput. Vis., 2015

Neither Global Nor Local: Regularized Patch-Based Representation for Single Sample Per Person Face Recognition.

Shenghua Gao, Kui Jia, Liansheng Zhuang, Yi Ma

Int. J. Comput. Vis., 2015

Image Restoration via Simultaneous Sparse Coding: Where Structured Sparsity Meets Gaussian Scale Mixture.

Weisheng Dong, Guangming Shi, Yi Ma, Xin Li

Int. J. Comput. Vis., 2015

Robust Face Recognition by Constrained Part-based Alignment.

Yuting Zhang, Kui Jia, Yueming Wang, Gang Pan, Tsung-Han Chan, Yi Ma

CoRR, 2015

Low-Rank Tensor Approximation with Laplacian Scale Mixture Modeling for Multiframe Image Denoising.

Weisheng Dong, Guangyu Li, Guangming Shi, Xin Li, Yi Ma

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Transform invariant text extraction.

Xin Zhang, Zhouchen Lin, Fuchun Sun, Yi Ma

Vis. Comput., 2014

MMSE Design of Time and Color Multiplexing Codes.

Tsung-Han Chan, Kui Jia, Eliot Wycoff, Yi Ma

IEEE Trans. Signal Process., 2014

Fast Low-Rank Subspace Segmentation.

Xin Zhang, Fuchun Sun, Guangcan Liu, Yi Ma

IEEE Trans. Knowl. Data Eng., 2014

Blind Image Deblurring Using Spectral Properties of Convolution Operators.

Guangcan Liu, Shiyu Chang, Yi Ma

IEEE Trans. Image Process., 2014

Learning Category-Specific Dictionary and Shared Dictionary for Fine-Grained Image Categorization.

Shenghua Gao, Ivor Wai-Hung Tsang, Yi Ma

IEEE Trans. Image Process., 2014

Compressive Sensing via Nonlocal Low-Rank Regularization.

Weisheng Dong, Guangming Shi, Xin Li, Yi Ma, Feng Huang

IEEE Trans. Image Process., 2014

Nonlocal Sparse and Low-Rank Regularization for Optical Flow Estimation.

Weisheng Dong, Guangming Shi, Xiaocheng Hu, Yi Ma

IEEE Trans. Image Process., 2014

Robust Subspace Discovery via Relaxed Rank Minimization.

Xinggang Wang, Zhengdong Zhang, Yi Ma, Xiang Bai, Wenyu Liu, Zhuowen Tu

Neural Comput., 2014

Constructing a Non-Negative Low Rank and Sparse Graph with Data-Adaptive Features.

Liansheng Zhuang, Shenghua Gao, Jinhui Tang, Jingjing Wang, Zhouchen Lin, Yi Ma

CoRR, 2014

ROML: A Robust Feature Correspondence Approach for Matching Objects in A Set of Images.

Kui Jia, Tsung-Han Chan, Zinan Zeng, Gang Wang, Tianzhu Zhang, Yi Ma

CoRR, 2014

Image restoration via Bayesian structured sparse coding.

Weisheng Dong, Xin Li, Yi Ma, Guangming Shi

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Robust Foreground Detection Using Smoothness and Arbitrariness Constraints.

Xiaojie Guo, Xinggang Wang, Liang Yang, Xiaochun Cao, Yi Ma

Proceedings of the Computer Vision - ECCV 2014, 2014

Robust Separation of Reflection from Multiple Images.

Xiaojie Guo, Xiaochun Cao, Yi Ma

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Unsupervised Feature Learning for RGB-D Image Classification.

I-Hong Jhuo, Shenghua Gao, Liansheng Zhuang, D. T. Lee, Yi Ma

Proceedings of the Computer Vision - ACCV 2014, 2014

Hybrid Singular Value Thresholding for Tensor Completion.

Xiaoqin Zhang, Zhengyuan Zhou, Di Wang, Yi Ma

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Fast 퓁 ₁ -Minimization Algorithms for Robust Face Recognition.

Allen Y. Yang, Zihan Zhou, A. G. Balasubramanian, S. Shankar Sastry, Yi Ma

IEEE Trans. Image Process., 2013

Robust Recovery of Subspace Structures by Low-Rank Representation.

Guangcan Liu, Zhouchen Lin, Shuicheng Yan, Ju Sun, Yong Yu, Yi Ma

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors.

Xiaoqin Zhang, Di Wang, Zhengyuan Zhou, Yi Ma

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Rectification of Optical Characters as Transform Invariant Low-Rank Textures.

Xin Zhang, Zhouchen Lin, Fuchun Sun, Yi Ma

Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013

A non-negative sparse promoting algorithm for high resolution hyperspectral imaging.

Eliot Wycoff, Tsung-Han Chan, Kui Jia, Wing-Kin Ma, Yi Ma

Proceedings of the IEEE International Conference on Acoustics, 2013

Joint topic-document modeling via low-dimensional sparse models.

Kerui Min, Yi Ma

Proceedings of the IEEE International Conference on Acoustics, 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

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Plane-Based Content Preserving Warps for Video Stabilization.

Zihan Zhou, Hailin Jin, Yi Ma

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Learning by Associating Ambiguously Labeled Images.

Zinan Zeng, Shijie Xiao, Kui Jia, Tsung-Han Chan, Shenghua Gao, Dong Xu, Yi Ma

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Video Editing with Temporal, Spatial and Appearance Consistency.

Xiaojie Guo, Xiaochun Cao, Xiaowu Chen, Yi Ma

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Toward a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation.

Andrew Wagner, John Wright, Arvind Ganesh, Zihan Zhou, Hossein Mobahi, Yi Ma

IEEE Trans. Pattern Anal. Mach. Intell., 2012

RASL: Robust Alignment by Sparse and Low-Rank Decomposition for Linearly Correlated Images.

YiGang Peng, Arvind Ganesh, John Wright, Wenli Xu, Yi Ma

IEEE Trans. Pattern Anal. Mach. Intell., 2012

TILT: Transform Invariant Low-Rank Textures.

Zhengdong Zhang, Arvind Ganesh, Xiao Liang, Yi Ma

Int. J. Comput. Vis., 2012

Blind Image Deblurring by Spectral Properties of Convolution Operators

Guangcan Liu, Yi Ma

CoRR, 2012

Compressive principal component pursuit.

John Wright, Arvind Ganesh, Kerui Min, Yi Ma

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Principal Component Pursuit with reduced linear measurements.

Arvind Ganesh, Kerui Min, John Wright, Yi Ma

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Repairing Sparse Low-Rank Texture.

Xiao Liang, Xiang Ren, Zhengdong Zhang, Yi Ma

Proceedings of the Computer Vision - ECCV 2012, 2012

Robust and Practical Face Recognition via Structured Sparsity.

Kui Jia, Tsung-Han Chan, Yi Ma

Proceedings of the Computer Vision - ECCV 2012, 2012

Towards Optimal Design of Time and Color Multiplexing Codes.

Tsung-Han Chan, Kui Jia, Eliot Wycoff, Chong-Yung Chi, Yi Ma

Proceedings of the Computer Vision - ECCV 2012, 2012

Non-negative low rank and sparse graph for semi-supervised learning.

Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma, Xin Zhang, Nenghai Yu

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Robust plane-based structure from motion.

Zihan Zhou, Hailin Jin, Yi Ma

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Seeing through the blur.

Hossein Mobahi, C. Lawrence Zitnick, Yi Ma

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

One-Class Multiple Instance Learning via Robust PCA for Common Object Discovery.

Xinggang Wang, Zhengdong Zhang, Yi Ma, Xiang Bai, Wenyu Liu, Zhuowen Tu

Proceedings of the Computer Vision - ACCV 2012, 2012

Face recognition by sparse representation.

Arvind Ganesh, Andrew Wagner, Zihan Zhou, Allen Y. Yang, Yi Ma, John Wright

Proceedings of the Compressed Sensing, 2012

2011

Dimensionality Reduction via Subspace and Submanifold Learning [From the Guest Editors].

Yi Ma, Partha Niyogi, Guillermo Sapiro, René Vidal

IEEE Signal Process. Mag., 2011

Introduction to the Special Section on Real-World Face Recognition.

Gang Hua, Ming-Hsuan Yang, Erik G. Learned-Miller, Yi Ma, Matthew A. Turk, David J. Kriegman, Thomas S. Huang

IEEE Trans. Pattern Anal. Mach. Intell., 2011

Robust principal component analysis?

Emmanuel J. Candès, Xiaodong Li, Yi Ma, John Wright

J. ACM, 2011

Segmentation of Natural Images by Texture and Boundary Compression.

Hossein Mobahi, Shankar R. Rao, Allen Y. Yang, Shankar S. Sastry, Yi Ma

Int. J. Comput. Vis., 2011

Sparsity and Robustness in Face Recognition

John Wright, Arvind Ganesh, Allen Y. Yang, Zihan Zhou, Yi Ma

CoRR, 2011

Holistic 3D reconstruction of urban structures from low-rank textures.

Hossein Mobahi, Zihan Zhou, Allen Y. Yang, Yi Ma

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Unwrapping low-rank textures on generalized cylindrical surfaces.

Zhengdong Zhang, Xiao Liang, Yi Ma

Proceedings of the IEEE International Conference on Computer Vision, 2011

Camera calibration with lens distortion from low-rank textures.

Zhengdong Zhang, Yasuyuki Matsushita, Yi Ma

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Fast ℓ1-minimization and parallelization for face recognition.

Victor Shia, Allen Y. Yang, S. Shankar Sastry, Andrew Wagner, Yi Ma

Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010

Dense error correction via l¹-minimization.

John Wright, Yi Ma

IEEE Trans. Inf. Theory, 2010

Image Super-Resolution Via Sparse Representation.

Jianchao Yang, John Wright, Thomas S. Huang, Yi Ma

IEEE Trans. Image Process., 2010

Sparse Representation for Computer Vision and Pattern Recognition.

John Wright, Yi Ma, Julien Mairal, Guillermo Sapiro, Thomas S. Huang, Shuicheng Yan

Proc. IEEE, 2010

On the Role of Sparse and Redundant Representations in Image Processing.

Michael Elad, Mário A. T. Figueiredo, Yi Ma

Proc. IEEE, 2010

Applications of Sparse Representation and Compressive Sensing.

Richard G. Baraniuk, Emmanuel J. Candès, Michael Elad, Yi Ma

Proc. IEEE, 2010

Motion Segmentation in the Presence of Outlying, Incomplete, or Corrupted Trajectories.

Shankar R. Rao, Roberto Tron, René Vidal, Yi Ma

IEEE Trans. Pattern Anal. Mach. Intell., 2010

Robust Algebraic Segmentation of Mixed Rigid-Body and Planar Motions from Two Views.

Shankar R. Rao, Allen Y. Yang, Shankar Sastry, Yi Ma

Int. J. Comput. Vis., 2010

A Review of Fast l1-Minimization Algorithms for Robust Face Recognition

Allen Y. Yang, Arvind Ganesh, Zihan Zhou, Shankar Sastry, Yi Ma

CoRR, 2010

The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices.

Zhouchen Lin, Minming Chen, Yi Ma

CoRR, 2010

Image tag refinement towards low-rank, content-tag prior and error sparsity.

Guangyu Zhu, Shuicheng Yan, Yi Ma

Proceedings of the 18th International Conference on Multimedia 2010, 2010

Stable Principal Component Pursuit.

Zihan Zhou, Xiaodong Li, John Wright, Emmanuel J. Candès, Yi Ma

Proceedings of the IEEE International Symposium on Information Theory, 2010

Dense error correction for low-rank matrices via Principal Component Pursuit.

Arvind Ganesh, John Wright, Xiaodong Li, Emmanuel J. Candès, Yi Ma

Proceedings of the IEEE International Symposium on Information Theory, 2010

Towards a robust face recognition system using compressive sensing.

Allen Y. Yang, Zihan Zhou, Yi Ma, Shankar Sastry

Proceedings of the INTERSPEECH 2010, 2010

Fast <i>l</i>1-minimization algorithms and an application in robust face recognition: A review.

Allen Y. Yang, S. Shankar Sastry, Arvind Ganesh, Yi Ma

Proceedings of the International Conference on Image Processing, 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

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Decomposing background topics from keywords by principal component pursuit.

Kerui Min, Zhengdong Zhang, John Wright, Yi Ma

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Adaptive control using quantized measurements with application to vision-only landing control.

Yoav Sharon, Daniel Liberzon, Yi Ma

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Robust Photometric Stereo via Low-Rank Matrix Completion and Recovery.

Lun Wu, Arvind Ganesh, Boxin Shi, Yasuyuki Matsushita, Yongtian Wang, Yi Ma

Proceedings of the Computer Vision - ACCV 2010, 2010

2009

Classification via Minimum Incremental Coding Length.

John Wright, Yi Ma, Yangyu Tao, Zhouchen Lin, Heung-Yeung Shum

SIAM J. Imaging Sci., 2009

Robust Face Recognition via Sparse Representation.

John Wright, Allen Y. Yang, Arvind Ganesh, S. Shankar Sastry, Yi Ma

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Distributed Video Coding using Compressive Sampling.

Josep Prades-Nebot, Yi Ma, Thomas S. Huang

Proceedings of the 2009 Picture Coding Symposium, 2009

Data-driven image completion by image patch subspaces.

Hossein Mobahi, Shankar R. Rao, Yi Ma

Proceedings of the 2009 Picture Coding Symposium, 2009

Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization.

John Wright, Arvind Ganesh, Shankar R. Rao, YiGang Peng, Yi Ma

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Face recognition with contiguous occlusion using markov random fields.

Zihan Zhou, Andrew Wagner, Hossein Mobahi, John Wright, Yi Ma

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Dense error correction via l1-minimization.

John Wright, Yi Ma

Proceedings of the IEEE International Conference on Acoustics, 2009

Separation of a subspace-sparse signal: Algorithms and conditions.

Arvind Ganesh, Zihan Zhou, Yi Ma

Proceedings of the IEEE International Conference on Acoustics, 2009

Towards a practical face recognition system: Robust registration and illumination by sparse representation.

Andrew Wagner, John Wright, Arvind Ganesh, Zihan Zhou, Yi Ma

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Minimum sum of distances estimator: Robustness and stability.

Yoav Sharon, John Wright, Yi Ma

Proceedings of the American Control Conference, 2009

Natural Image Segmentation with Adaptive Texture and Boundary Encoding.

Shankar R. Rao, Hossein Mobahi, Allen Y. Yang, Shankar Sastry, Yi Ma

Proceedings of the Computer Vision, 2009

Learning Topology of Curves with Application to Clustering.

Hossein Mobahi, Shankar R. Rao, Yi Ma

Proceedings of the Manifold Learning and Its Applications, 2009

2008

Estimation of Subspace Arrangements with Applications in Modeling and Segmenting Mixed Data.

Yi Ma, Allen Y. Yang, Harm Derksen, Robert M. Fossum

SIAM Rev., 2008

Unsupervised segmentation of natural images via lossy data compression.

Allen Y. Yang, John Wright, Yi Ma, S. Shankar Sastry

Comput. Vis. Image Underst., 2008

Face hallucination VIA sparse coding.

Jianchao Yang, Hao Tang, Yi Ma, Thomas S. Huang

Proceedings of the International Conference on Image Processing, 2008

Nearest-Subspace Patch Matching for face recognition under varying pose and illumination.

Zihan Zhou, Arvind Ganesh, John Wright, Shen-Fu Tsai, Yi Ma

Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2008), 2008

Demo: Robust face recognition via sparse representation.

John Wright, Arvind Ganesh, Zihan Zhou, Andrew Wagner, Yi Ma

Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2008), 2008

Image super-resolution as sparse representation of raw image patches.

Jianchao Yang, John Wright, Thomas S. Huang, Yi Ma

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 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

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Segmentation of Multivariate Mixed Data via Lossy Data Coding and Compression.

Yi Ma, Harm Derksen, Wei Hong, John Wright

IEEE Trans. Pattern Anal. Mach. Intell., 2007

The algebra and statistics of generalized principal component analysis.

Shankar R. Rao, Harm Derksen, Robert M. Fossum, Yi Ma, Andrew Wagner, Allen Y. Yang

Proceedings of the Visual Communications and Image Processing 2007, 2007

Segmentation of multivariate mixed data via lossy coding and compression.

Harm Derksen, Yi Ma, Wei Hong, John Wright

Proceedings of the Visual Communications and Image Processing 2007, 2007

Classification via Minimum Incremental Coding Length (MICL).

John Wright, Yangyu Tao, Zhouchen Lin, Yi Ma, Heung-Yeung Shum

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006

Multiscale Hybrid Linear Models for Lossy Image Representation.

Wei Hong, John Wright, Kun Huang, Yi Ma

IEEE Trans. Image Process., 2006

A Unified Algebraic Approach to 2-D and 3-D Motion Segmentation and Estimation.

René Vidal, Yi Ma

J. Math. Imaging Vis., 2006

Two-View Multibody Structure from Motion.

René Vidal, Yi Ma, Stefano Soatto, Shankar Sastry

Int. J. Comput. Vis., 2006

Database-Guided Simultaneous Multi-slice 3D Segmentation for Volumetric Data.

Wei Hong, Bogdan Georgescu, Xiang Sean Zhou, Sriram Krishnan, Yi Ma, Dorin Comaniciu

Proceedings of the Computer Vision, 2006

Robust Statistical Estimation and Segmentation of Multiple Subspaces.

Allen Y. Yang, Shankar R. Rao, Yi Ma

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

Homography from Coplanar Ellipses with Application to Forensic Blood Splatter Reconstruction.

John Wright, Andrew Wagner, Shankar R. Rao, Yi Ma

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005

Symmetry-based photo-editing.

Kun Huang, Wei Hong, Yi Ma

Pattern Recognit., 2005

Generalized Principal Component Analysis (GPCA).

René Vidal, Yi Ma, Shankar Sastry

IEEE Trans. Pattern Anal. Mach. Intell., 2005

Symmetry-based 3-D reconstruction from perspective images.

Allen Y. Yang, Kun Huang, Shankar R. Rao, Wei Hong, Yi Ma

Comput. Vis. Image Underst., 2005

Segmentation of Hybrid Motions via Hybrid Quadratic Surface Analysis.

Shankar R. Rao, Allen Y. Yang, Andrew Wagner, Yi Ma

Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

A Multi-Scale Hybrid Linear Model for Lossy Image Representation.

Wei Hong, John Wright, Kun Huang, Yi Ma

Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

Identification of Deterministic Switched ARX Systems via Identification of Algebraic Varieties.

Yi Ma, René Vidal

Proceedings of the Hybrid Systems: Computation and Control, 8th International Workshop, 2005

Segmentation of a Piece-Wise Planar Scene from Perspective Images.

Allen Y. Yang, Shankar R. Rao, Andrew Wagner, Yi Ma

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004

Rank Conditions on the Multiple-View Matrix.

Yi Ma, Kun Huang, René Vidal, Jana Kosecka, Shankar Sastry

Int. J. Comput. Vis., 2004

On Symmetry and Multiple-View Geometry: Structure, Pose, and Calibration from a Single Image.

Wei Hong, Allen Y. Yang, Kun Huang, Yi Ma

Int. J. Comput. Vis., 2004

Multiple-view geometry for image-based modeling.

Jana Kosecká, Yi Ma, Stefano Soatto, René Vidal

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2004

Large-baseline Matching and Reconstruction from Symmetry Cells.

Kun Huang, Allen Y. Yang, Wei Hong, Yi Ma

Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

Sparse representation of images with hybrid linear models.

Kun Huang, Allen Y. Yang, Yi Ma

Proceedings of the 2004 International Conference on Image Processing, 2004

A Unified Algebraic Approach to 2-D and 3-D Motion Segmentation.

René Vidal, Yi Ma

Proceedings of the Computer Vision, 2004

Reconstruction of 3-D Symmetric Curves from Perspective Images without Discrete Features.

Wei Hong, Yi Ma, Yizhou Yu

Proceedings of the Computer Vision, 2004

A New GPCA Algorithm for Clustering Subspaces by Fitting, Differentiating and Dividing Polynomials.

René Vidal, Yi Ma, Jacopo Piazzi

Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

Minimum Effective Dimension for Mixtures of Subspaces: A Robust GPCA Algorithm and Its Applications.

Kun Huang, Yi Ma, René Vidal

Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

Identification of hybrid linear time-invariant systems via subspace embedding and segmentation (SES).

Kun Huang, Andrew Wagner, Yi Ma

Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

2003

Structure and pose from single images of symmetric objects with applications to robot navigation.

Allen Y. Yang, Wei Hong, Yi Ma

Proceedings of the 2003 IEEE International Conference on Robotics and Automation, 2003

Geometric Segmentation of Perspective Images Based on Symmetry Groups.

Allen Y. Yang, Shankar R. Rao, Kun Huang, Wei Hong, Yi Ma

Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

On Exploiting Occlusions in Multiple-view Geometry.

Paolo Favaro, Alessandro Duci, Yi Ma, Stefano Soatto

Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

An algebraic geometric approach to the identification of a class of linear hybrid systems.

René Vidal, Stefano Soatto, Yi Ma, Shankar Sastry

Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

2002

Multiple View Motion Estimation and Control for Landing an Unmanned Aerial Vehicle.

Omid Shakernia, René Vidal, Courtney S. Sharp, Yi Ma, Shankar Sastry

Proceedings of the 2002 IEEE International Conference on Robotics and Automation, 2002

Generalized Rank Conditions in Multiple View Geometry with Applications to Dynamical Scenes.

Kun Huang, Robert M. Fossum, Yi Ma

Proceedings of the Computer Vision, 2002

2001

Optimization Criteria and Geometric Algorithms for Motion and Structure Estimation.

Yi Ma, Jana Kosecka, Shankar Sastry

Int. J. Comput. Vis., 2001

Optimal motion estimation from multiple images by normalized epipolar constraint.

Yi Ma, René Vidal, Shawn Hsu, Shankar Sastry

Commun. Inf. Syst., 2001

Optimal Motion Estimation from Multiview Normalized Epipolar Constraint.

René Vidal, Yi Ma, Shawn Hsu, Shankar Sastry

Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

Recognition of Human Gaits.

Alessandro Bissacco, Alessandro Chiuso, Yi Ma, Stefano Soatto

Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

2000

Euclidean Reconstruction and Reprojection Up to Subgroups.

Yi Ma, Stefano Soatto, Jana Kosecka, Shankar Sastry

Int. J. Comput. Vis., 2000

Linear Differential Algorithm for Motion Recovery: A Geometric Approach.

Yi Ma, Jana Kosecka, Shankar Sastry

Int. J. Comput. Vis., 2000

Kruppa Equation Revisited: Its Renormalization and Degeneracy.

Yi Ma, René Vidal, Jana Kosecka, Shankar Sastry

Proceedings of the Computer Vision - ECCV 2000, 6th European Conference on Computer Vision, Dublin, Ireland, June 26, 2000

1999

Vision guided navigation for a nonholonomic mobile robot.

Yi Ma, Jana Kosecká, S. Shankar Sastry

IEEE Trans. Robotics Autom., 1999

Optimization Criteria, Sensitivity and Robustness of Motion and Structure Estimation.

Jana Kosecka, Yi Ma, Shankar Sastry

Proceedings of the Vision Algorithms: Theory and Practice, 1999

1998

Motion Recovery from Image Sequences: Discrete Viewpoint vs. Differential Viewpoint.

Yi Ma, Jana Kosecka, Shankar Sastry

Proceedings of the Computer Vision, 1998