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ORCIDYi Ma 0001
Person information
- affiliation: University of California, Berkeley, CA, USA
- affiliation (2014 - 2017): ShanghaiTech University, China
- affiliation (2009 - 2014): Microsoft Research Asia, Beijing, China
- affiliation (2000 - 2011): University of Illinois at Urbana-Champaign, Urbana, IL, USA
- affiliation (PhD 2000): University of California, Berkeley, CA, USA
Other persons with the same name
- Yi Ma — disambiguation page
- Yi Ma 0002
![[0000-0002-6715-4309]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6715-4309")
— University of Surrey, Institute for Communication Systems, UK (and 1 more) - Yi Ma 0003 — Zhejiang University of Technology, Institute of Process Equipment and Control Engineering, Hangzhou, China
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2020 – today
- 2022
[j51]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:
CTRL: Closed-Loop Transcription to an LDR via Minimaxing Rate Reduction. Entropy 24(4): 456 (2022)- [j50]Yuexiang Zhai, Christina Baek, Zhengyuan Zhou, Jiantao Jiao, Yi Ma:
Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning. J. Artif. Intell. Res. 73: 847-896 (2022) - [c101]Chris Junchi Li, Yaodong Yu, Nicolas Loizou, Gauthier Gidel, Yi Ma, Nicolas Le Roux, Michael I. Jordan:
On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging. AISTATS 2022: 9793-9826 - [c100]Cheng Yang, Jia Zheng, Xili Dai, Rui Tang, Yi Ma, Xiaojun Yuan:
Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image. WACV 2022: 235-244 - [i49]Shengbang Tong, Xili Dai, Ziyang Wu, Mingyang Li, Brent Yi, Yi Ma:
Incremental Learning of Structured Memory via Closed-Loop Transcription. CoRR abs/2202.05411 (2022) - [i48]Yaodong Yu, Zitong Yang, Alexander Wei, Yi Ma, Jacob Steinhardt:
Predicting Out-of-Distribution Error with the Projection Norm. CoRR abs/2202.05834 (2022) - [i47]Christina Baek, Ziyang Wu, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin D. Haeffele:
Efficient Maximal Coding Rate Reduction by Variational Forms. CoRR abs/2204.00077 (2022) - [i46]Druv Pai, Michael Psenka, Chih-Yuan Chiu, Manxi Wu, Edgar Dobriban, Yi Ma:
Pursuit of a Discriminative Representation for Multiple Subspaces via Sequential Games. CoRR abs/2206.09120 (2022) - 2021
- [j49]Xiaoqin Zhang, Di Wang, Zhengyuan Zhou, Yi Ma:
Robust Low-Rank Tensor Recovery with Rectification and Alignment. IEEE Trans. Pattern Anal. Mach. Intell. 43(1): 238-255 (2021) - [j48]Chaobing Song, Yong Jiang, Yi Ma:
Unified Acceleration of High-Order Algorithms under General Hölder Continuity. SIAM J. Optim. 31(3): 1797-1826 (2021) - [c99]Ziyang Wu, Christina Baek, Chong You, Yi Ma:
Incremental Learning via Rate Reduction. CVPR 2021: 1125-1133 - [c98]Peiqi Duan, Zihao W. Wang, Xinyu Zhou, Yi Ma, Boxin Shi:
EventZoom: Learning To Denoise and Super Resolve Neuromorphic Events. CVPR 2021: 12824-12833 - [c97]Yichao Zhou, Shichen Liu, Yi Ma:
NeRD: Neural 3D Reflection Symmetry Detector. CVPR 2021: 15940-15949 - [c96]Haozhi Qi, Xiaolong Wang, Deepak Pathak, Yi Ma, Jitendra Malik:
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks. ICLR 2021 - [c95]Yifei Huang, Yaodong Yu, Hongyang Zhang, Yi Ma, Yuan Yao:
Adversarial Robustness of Stabilized Neural ODE Might be from Obfuscated Gradients. MSML 2021: 497-515 - [i45]Chaobing Song, Zhengyuan Zhou, Yichao Zhou, Yong Jiang, Yi Ma:
Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities. CoRR abs/2103.04410 (2021) - [i44]Yaodong Yu, Zitong Yang, Edgar Dobriban, Jacob Steinhardt, Yi Ma:
Understanding Generalization in Adversarial Training via the Bias-Variance Decomposition. CoRR abs/2103.09947 (2021) - [i43]Cheng Yang, Jia Zheng, Xili Dai, Rui Tang, Yi Ma, Xiaojun Yuan:
Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image. CoRR abs/2104.07986 (2021) - [i42]Xili Dai, Xiaojun Yuan, Haigang Gong, Yi Ma:
Fully Convolutional Line Parsing. CoRR abs/2104.11207 (2021) - [i41]Yichao Zhou, Shichen Liu, Yi Ma:
NeRD: Neural 3D Reflection Symmetry Detector. CoRR abs/2105.03211 (2021) - [i40]Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, Yi Ma:
ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction. CoRR abs/2105.10446 (2021) - [i39]Jiabao Lei, Kui Jia, Yi Ma:
Learning and Meshing from Deep Implicit Surface Networks Using an Efficient Implementation of Analytic Marching. CoRR abs/2106.10031 (2021) - [i38]Chris Junchi Li, Yaodong Yu, Nicolas Loizou, Gauthier Gidel, Yi Ma, Nicolas Le Roux, Michael I. Jordan:
On the Convergence of Stochastic Extragradient for Bilinear Games with Restarted Iteration Averaging. CoRR abs/2107.00464 (2021) - [i37]Yuexiang Zhai, Christina Baek, Zhengyuan Zhou, Jiantao Jiao, Yi Ma:
Computational Benefits of Intermediate Rewards for Hierarchical Planning. CoRR abs/2107.03961 (2021) - [i36]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:
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction. CoRR abs/2111.06636 (2021) - 2020
- [j47]Yuexiang Zhai, Zitong Yang, Zhenyu Liao, John Wright, Yi Ma:
Complete Dictionary Learning via L4-Norm Maximization over the Orthogonal Group. J. Mach. Learn. Res. 21: 165:1-165:68 (2020) - [j46]Xu Zhou, Rafael Molina, Yi Ma, Tianfu Wang, Dong Ni:
Parameter-Free Gaussian PSF Model for Extended Depth of Field in Brightfield Microscopy. IEEE Trans. Image Process. 29: 3227-3238 (2020) - [c94]Yuexiang Zhai, Hermish Mehta, Zhengyuan Zhou, Yi Ma:
Understanding l4-based Dictionary Learning: Interpretation, Stability, and Robustness. ICLR 2020 - [c93]Haozhi Qi, Chong You, Xiaolong Wang, Yi Ma, Jitendra Malik:
Deep Isometric Learning for Visual Recognition. ICML 2020: 7824-7835 - [c92]Zitong Yang, Yaodong Yu, Chong You, Jacob Steinhardt, Yi Ma:
Rethinking Bias-Variance Trade-off for Generalization of Neural Networks. ICML 2020: 10767-10777 - [c91]Shichang Tang, Xu Zhou, Xuming He, Yi Ma:
Disentangled Representation Learning for Controllable Image Synthesis: An Information-Theoretic Perspective. ICPR 2020: 10042-10049 - [c90]Chaobing Song, Zhengyuan Zhou, Yichao Zhou, Yong Jiang, Yi Ma:
Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities. NeurIPS 2020 - [c89]Chong You, Zhihui Zhu, Qing Qu, Yi Ma:
Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization. NeurIPS 2020 - [c88]Yaodong Yu, Kwan Ho Ryan Chan, Chong You, Chaobing Song, Yi Ma:
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction. NeurIPS 2020 - [i35]Zitong Yang, Yaodong Yu, Chong You, Jacob Steinhardt, Yi Ma:
Rethinking Bias-Variance Trade-off for Generalization of Neural Networks. CoRR abs/2002.11328 (2020) - [i34]Yaodong Yu, Kwan Ho Ryan Chan, Chong You, Chaobing Song, Yi Ma:
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction. CoRR abs/2006.08558 (2020) - [i33]Chong You, Zhihui Zhu, Qing Qu, Yi Ma:
Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization. CoRR abs/2006.08857 (2020) - [i32]Yichao Zhou, Shichen Liu, Yi Ma:
Learning to Detect 3D Reflection Symmetry for Single-View Reconstruction. CoRR abs/2006.10042 (2020) - [i31]Chaobing Song, Yong Jiang, Yi Ma:
Stochastic Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization. CoRR abs/2006.10281 (2020) - [i30]Haozhi Qi, Chong You, Xiaolong Wang, Yi Ma, Jitendra Malik:
Deep Isometric Learning for Visual Recognition. CoRR abs/2006.16992 (2020) - [i29]Kun Huang, Yifan Wang, Zihan Zhou, Tianjiao Ding, Shenghua Gao, Yi Ma:
Learning to Parse Wireframes in Images of Man-Made Environments. CoRR abs/2007.07527 (2020) - [i28]Haozhi Qi, Xiaolong Wang, Deepak Pathak, Yi Ma, Jitendra Malik:
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks. CoRR abs/2008.02265 (2020) - [i27]Yichao Zhou, Jingwei Huang, Xili Dai, Linjie Luo, Zhili Chen, Yi Ma:
HoliCity: A City-Scale Data Platform for Learning Holistic 3D Structures. CoRR abs/2008.03286 (2020) - [i26]Yifei Huang, Yaodong Yu, Hongyang Zhang, Yi Ma, Yuan Yao:
Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated Gradients. CoRR abs/2009.13145 (2020) - [i25]Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, Yi Ma:
Deep Networks from the Principle of Rate Reduction. CoRR abs/2010.14765 (2020) - [i24]Ziyang Wu, Christina Baek, Chong You, Yi Ma:
Incremental Learning via Rate Reduction. CoRR abs/2011.14593 (2020)
2010 – 2019
- 2019
- [c87]Yichao Zhou, Haozhi Qi, Yi Ma:
End-to-End Wireframe Parsing. ICCV 2019: 962-971 - [c86]Yichao Zhou, Haozhi Qi, Yuexiang Zhai, Qi Sun, Zhili Chen, Li-Yi Wei, Yi Ma:
Learning to Reconstruct 3D Manhattan Wireframes From a Single Image. ICCV 2019: 7697-7706 - [c85]Yichao Zhou, Haozhi Qi, Jingwei Huang, Yi Ma:
NeurVPS: Neural Vanishing Point Scanning via Conic Convolution. NeurIPS 2019: 864-873 - [i23]Yichao Zhou, Haozhi Qi, Yi Ma:
End-to-End Wireframe Parsing. CoRR abs/1905.03246 (2019) - [i22]Yichao Zhou, Haozhi Qi, Yuexiang Zhai, Qi Sun, Zhili Chen, Li-Yi Wei, Yi Ma:
Learning to Reconstruct 3D Manhattan Wireframes from a Single Image. CoRR abs/1905.07482 (2019) - [i21]Chaobing Song, Yi Ma:
Towards Unified Acceleration of High-Order Algorithms under Hölder Continuity and Uniform Convexity. CoRR abs/1906.00582 (2019) - [i20]Yuexiang Zhai, Zitong Yang, Zhenyu Liao, John Wright, Yi Ma:
Complete Dictionary Learning via 𝓁4-Norm Maximization over the Orthogonal Group. CoRR abs/1906.02435 (2019) - [i19]Yichao Zhou, Haozhi Qi, Jingwei Huang, Yi Ma:
NeurVPS: Neural Vanishing Point Scanning via Conic Convolution. CoRR abs/1910.06316 (2019) - 2018
- [c84]Kun Huang, Yifan Wang, Zihan Zhou, Tianjiao Ding, Shenghua Gao, Yi Ma:
Learning to Parse Wireframes in Images of Man-Made Environments. CVPR 2018: 626-635 - 2017
- [j45]Liansheng Zhuang, Zihan Zhou, Shenghua Gao, Jingwen Yin, Zhouchen Lin, Yi Ma:
Label Information Guided Graph Construction for Semi-Supervised Learning. IEEE Trans. Image Process. 26(9): 4182-4192 (2017) - 2016
- [b1]René Vidal, Yi Ma, S. Shankar Sastry:
Generalized Principal Component Analysis. Interdisciplinary applied mathematics 40, Springer 2016, ISBN 978-0-387-87810-2, pp. 1-566 - [j44]Kui Jia, Tsung-Han Chan, Zinan Zeng, Shenghua Gao, Gang Wang, Tianzhu Zhang, Yi Ma:
ROML: A Robust Feature Correspondence Approach for Matching Objects in A Set of Images. Int. J. Comput. Vis. 117(2): 173-197 (2016) - [j43]Liansheng Zhuang, Jingjing Wang, Zhouchen Lin, Allen Y. Yang, Yi Ma, Nenghai Yu:
Locality-preserving low-rank representation for graph construction from nonlinear manifolds. Neurocomputing 175: 715-722 (2016) - [j42]Xiao Liang, Xiang Ren, Zhengdong Zhang, Yi Ma:
Texture Repairing by Unified Low Rank Optimization. J. Comput. Sci. Technol. 31(3): 525-546 (2016) - [c83]Chen Zhu, Zihan Zhou, Ziran Xing, Yanbing Dong, Yi Ma, Jingyi Yu:
Robust Plane-Based Calibration of Multiple Non-Overlapping Cameras. 3DV 2016: 658-666 - [c82]Yingying Zhang, Desen Zhou, Siqin Chen, Shenghua Gao, Yi Ma:
Single-Image Crowd Counting via Multi-Column Convolutional Neural Network. CVPR 2016: 589-597 - 2015
- [j41]Shenghua Gao, Kui Jia, Liansheng Zhuang, Yi Ma:
Neither Global Nor Local: Regularized Patch-Based Representation for Single Sample Per Person Face Recognition. Int. J. Comput. Vis. 111(3): 365-383 (2015) - [j40]Liansheng Zhuang, Tsung-Han Chan, Allen Y. Yang, S. Shankar Sastry, Yi Ma:
Sparse Illumination Learning and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment. Int. J. Comput. Vis. 114(2-3): 272-287 (2015) - [j39]Liansheng Zhuang, Shenghua Gao, Jinhui Tang, Jingjing Wang, Zhouchen Lin, Yi Ma, Nenghai Yu:
Constructing a Nonnegative Low-Rank and Sparse Graph With Data-Adaptive Features. IEEE Trans. Image Process. 24(11): 3717-3728 (2015) - [j38]Tsung-Han Chan, Kui Jia, Shenghua Gao, Jiwen Lu, Zinan Zeng, Yi Ma:
PCANet: A Simple Deep Learning Baseline for Image Classification? IEEE Trans. Image Process. 24(12): 5017-5032 (2015) - [i18]Yuting Zhang, Kui Jia, Yueming Wang, Gang Pan, Tsung-Han Chan, Yi Ma:
Robust Face Recognition by Constrained Part-based Alignment. CoRR abs/1501.04717 (2015) - 2014
- [j37]Xinggang Wang, Zhengdong Zhang, Yi Ma, Xiang Bai, Wenyu Liu, Zhuowen Tu:
Robust Subspace Discovery via Relaxed Rank Minimization. Neural Comput. 26(3): 611-635 (2014) - [j36]Shenghua Gao, Ivor Wai-Hung Tsang, Yi Ma:
Learning Category-Specific Dictionary and Shared Dictionary for Fine-Grained Image Categorization. IEEE Trans. Image Process. 23(2): 623-634 (2014) - [j35]Tsung-Han Chan, Kui Jia, Eliot Wycoff, Yi Ma:
MMSE Design of Time and Color Multiplexing Codes. IEEE Trans. Signal Process. 62(5): 1157-1170 (2014) - [j34]Xin Zhang, Zhouchen Lin, Fuchun Sun, Yi Ma:
Transform invariant text extraction. Vis. Comput. 30(4): 401-415 (2014) - [c81]Xiaoqin Zhang, Zhengyuan Zhou, Di Wang, Yi Ma:
Hybrid Singular Value Thresholding for Tensor Completion. AAAI 2014: 1362-1368 - [c80]I-Hong Jhuo, Shenghua Gao, Liansheng Zhuang, D. T. Lee, Yi Ma:
Unsupervised Feature Learning for RGB-D Image Classification. ACCV (1) 2014: 276-289 - [i17]Liansheng Zhuang, Tsung-Han Chan, Allen Y. Yang, S. Shankar Sastry, Yi Ma:
Sparse Illumination Learning and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment. CoRR abs/1402.1879 (2014) - [i16]Kui Jia, Tsung-Han Chan, Zinan Zeng, Gang Wang, Tianzhu Zhang, Yi Ma:
ROML: A Robust Feature Correspondence Approach for Matching Objects in A Set of Images. CoRR abs/1403.7877 (2014) - [i15]Tsung-Han Chan, Kui Jia, Shenghua Gao, Jiwen Lu, Zinan Zeng, Yi Ma:
PCANet: A Simple Deep Learning Baseline for Image Classification? CoRR abs/1404.3606 (2014) - [i14]Liansheng Zhuang, Shenghua Gao, Jinhui Tang, Jingjing Wang, Zhouchen Lin, Yi Ma:
Constructing a Non-Negative Low Rank and Sparse Graph with Data-Adaptive Features. CoRR abs/1409.0964 (2014) - 2013
- [j33]Guangcan Liu, Zhouchen Lin, Shuicheng Yan, Ju Sun, Yong Yu, Yi Ma:
Robust Recovery of Subspace Structures by Low-Rank Representation. IEEE Trans. Pattern Anal. Mach. Intell. 35(1): 171-184 (2013) - [j32]Allen Y. Yang, Zihan Zhou, A. G. Balasubramanian, S. Shankar Sastry, Yi Ma:
Fast 퓁 1 -Minimization Algorithms for Robust Face Recognition. IEEE Trans. Image Process. 22(8): 3234-3246 (2013) - [c79]Zinan Zeng, Shijie Xiao, Kui Jia, Tsung-Han Chan, Shenghua Gao, Dong Xu, Yi Ma:
Learning by Associating Ambiguously Labeled Images. CVPR 2013: 708-715 - [c78]Zihan Zhou, Hailin Jin, Yi Ma:
Plane-Based Content Preserving Warps for Video Stabilization. CVPR 2013: 2299-2306 - [c77]Liansheng Zhuang, Allen Y. Yang, Zihan Zhou, S. Shankar Sastry, Yi Ma:
Single-Sample Face Recognition with Image Corruption and Misalignment via Sparse Illumination Transfer. CVPR 2013: 3546-3553 - [c76]Eliot Wycoff, Tsung-Han Chan, Kui Jia, Wing-Kin Ma, Yi Ma:
A non-negative sparse promoting algorithm for high resolution hyperspectral imaging. ICASSP 2013: 1409-1413 - [c75]Kerui Min, Yi Ma:
Joint topic-document modeling via low-dimensional sparse models. ICASSP 2013: 8590-8594 - [c74]Xin Zhang, Zhouchen Lin, Fuchun Sun, Yi Ma:
Rectification of Optical Characters as Transform Invariant Low-Rank Textures. ICDAR 2013: 393-397 - [c73]Xiaoqin Zhang, Di Wang, Zhengyuan Zhou, Yi Ma:
Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors. NIPS 2013: 1637-1645 - 2012
- [j31]Zhengdong Zhang, Arvind Ganesh, Xiao Liang, Yi Ma:
TILT: Transform Invariant Low-Rank Textures. Int. J. Comput. Vis. 99(1): 1-24 (2012) - [j30]Andrew Wagner, John Wright, Arvind Ganesh, Zihan Zhou, Hossein Mobahi, Yi Ma:
Toward a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation. IEEE Trans. Pattern Anal. Mach. Intell. 34(2): 372-386 (2012) - [j29]YiGang Peng, Arvind Ganesh, John Wright, Wenli Xu, Yi Ma:
RASL: Robust Alignment by Sparse and Low-Rank Decomposition for Linearly Correlated Images. IEEE Trans. Pattern Anal. Mach. Intell. 34(11): 2233-2246 (2012) - [c72]Xinggang Wang, Zhengdong Zhang, Yi Ma, Xiang Bai, Wenyu Liu, Zhuowen Tu:
One-Class Multiple Instance Learning via Robust PCA for Common Object Discovery. ACCV (1) 2012: 246-258 - [c71]Zihan Zhou, Hailin Jin, Yi Ma:
Robust plane-based structure from motion. CVPR 2012: 1482-1489 - [c70]Hossein Mobahi, C. Lawrence Zitnick, Yi Ma:
Seeing through the blur. CVPR 2012: 1736-1743 - [c69]Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma, Xin Zhang, Nenghai Yu:
Non-negative low rank and sparse graph for semi-supervised learning. CVPR 2012: 2328-2335 - [c68]Kui Jia, Tsung-Han Chan, Yi Ma:
Robust and Practical Face Recognition via Structured Sparsity. ECCV (4) 2012: 331-344 - [c67]Xiao Liang, Xiang Ren, Zhengdong Zhang, Yi Ma:
Repairing Sparse Low-Rank Texture. ECCV (5) 2012: 482-495 - [c66]Tsung-Han Chan, Kui Jia, Eliot Wycoff, Chong-Yung Chi, Yi Ma:
Towards Optimal Design of Time and Color Multiplexing Codes. ECCV (6) 2012: 485-498 - [c65]John Wright, Arvind Ganesh, Kerui Min, Yi Ma:
Compressive principal component pursuit. ISIT 2012: 1276-1280 - [c64]Arvind Ganesh, Kerui Min, John Wright, Yi Ma:
Principal Component Pursuit with reduced linear measurements. ISIT 2012: 1281-1285 - [p1]Arvind Ganesh, Andrew Wagner, Zihan Zhou, Allen Y. Yang, Yi Ma, John Wright:
Face recognition by sparse representation. Compressed Sensing 2012: 515-539 - [i13]René Vidal, Yi Ma, Shankar Sastry:
Generalized Principal Component Analysis (GPCA). CoRR abs/1202.4002 (2012) - [i12]John Wright, Arvind Ganesh, Kerui Min, Yi Ma:
Compressive Principal Component Pursuit. CoRR abs/1202.4596 (2012) - [i11]Arvind Ganesh, Kerui Min, John Wright, Yi Ma:
Principal Component Pursuit with Reduced Linear Measurements. CoRR abs/1202.6445 (2012) - 2011
- [j28]Hossein Mobahi, Shankar R. Rao, Allen Y. Yang, Shankar S. Sastry, Yi Ma:
Segmentation of Natural Images by Texture and Boundary Compression. Int. J. Comput. Vis. 95(1): 86-98 (2011) - [j27]Emmanuel J. Candès, Xiaodong Li, Yi Ma, John Wright:
Robust principal component analysis? J. ACM 58(3): 11:1-11:37 (2011) - [j26]Gang Hua, Ming-Hsuan Yang, Erik G. Learned-Miller, Yi Ma, Matthew A. Turk, David J. Kriegman, Thomas S. Huang:
Introduction to the Special Section on Real-World Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 33(10): 1921-1924 (2011) - [j25]Yi Ma, Partha Niyogi, Guillermo Sapiro, René Vidal:
Dimensionality Reduction via Subspace and Submanifold Learning [From the Guest Editors]. IEEE Signal Process. Mag. 28(2): 14-16 (2011) - [c63]Victor Shia, Allen Y. Yang, S. Shankar Sastry, Andrew Wagner, Yi Ma:
Fast ℓ1-minimization and parallelization for face recognition. ACSCC 2011: 1199-1203 - [c62]Zhengdong Zhang, Yasuyuki Matsushita, Yi Ma:
Camera calibration with lens distortion from low-rank textures. CVPR 2011: 2321-2328 - [c61]Zhengdong Zhang, Xiao Liang, Yi Ma:
Unwrapping low-rank textures on generalized cylindrical surfaces. ICCV 2011: 1347-1354 - [c60]Hossein Mobahi, Zihan Zhou, Allen Y. Yang, Yi Ma:
Holistic 3D reconstruction of urban structures from low-rank textures. ICCV Workshops 2011: 593-600 - [i10]John Wright, Arvind Ganesh, Allen Y. Yang, Zihan Zhou, Yi Ma:
Sparsity and Robustness in Face Recognition. CoRR abs/1111.1014 (2011) - 2010
- [j24]Shankar R. Rao, Allen Y. Yang, Shankar Sastry, Yi Ma:
Robust Algebraic Segmentation of Mixed Rigid-Body and Planar Motions from Two Views. Int. J. Comput. Vis. 88(3): 425-446 (2010) - [j23]Shankar R. Rao, Roberto Tron, René Vidal, Yi Ma:
Motion Segmentation in the Presence of Outlying, Incomplete, or Corrupted Trajectories. IEEE Trans. Pattern Anal. Mach. Intell. 32(10): 1832-1845 (2010) - [j22]Richard G. Baraniuk, Emmanuel J. Candès, Michael Elad, Yi Ma:
Applications of Sparse Representation and Compressive Sensing. Proc. IEEE 98(6): 906-909 (2010) - [j21]John Wright, Yi Ma, Julien Mairal, Guillermo Sapiro, Thomas S. Huang, Shuicheng Yan:
Sparse Representation for Computer Vision and Pattern Recognition. Proc. IEEE 98(6): 1031-1044 (2010) - [j20]Jianchao Yang, John Wright, Thomas S. Huang, Yi Ma:
Image Super-Resolution Via Sparse Representation. IEEE Trans. Image Process. 19(11): 2861-2873 (2010) - [j19]John Wright, Yi Ma:
Dense error correction via l1-minimization. IEEE Trans. Inf. Theory 56(7): 3540-3560 (2010) - [c59]