Motion Recovery from Image Sequences: Discrete Viewpoint vs. Differential Viewpoint. - Yi Ma 001; Jana Kosecka; Shankar Sastry 001 (ECCV (2), 1998)

Optimization Criteria, Sensitivity and Robustness of Motion and Structure Estimation. - Jana Kosecka; Yi Ma 001; Shankar Sastry 001 (Workshop on Vision Algorithms, 1999)

Vision guided navigation for a nonholonomic mobile robot. - Yi Ma 001; Jana Kosecká; S. Shankar Sastry (IEEE Trans. Robotics Autom., 1999)

Kruppa Equation Revisited: Its Renormalization and Degeneracy. - Yi Ma 001; René Vidal; Jana Kosecka; Shankar Sastry 001 (ECCV (2), 2000)

Linear Differential Algorithm for Motion Recovery: A Geometric Approach. - Yi Ma 001; Jana Kosecka; Shankar Sastry 001 (Int. J. Comput. Vis., 2000)

Euclidean Reconstruction and Reprojection Up to Subgroups. - Yi Ma 001; Stefano Soatto; Jana Kosecka; Shankar Sastry 001 (Int. J. Comput. Vis., 2000)

Recognition of Human Gaits. - Alessandro Bissacco; Alessandro Chiuso; Yi Ma 001; Stefano Soatto (CVPR (2), 2001)

Optimal Motion Estimation from Multiview Normalized Epipolar Constraint. - René Vidal; Yi Ma 001; Shawn Hsu; Shankar Sastry 001 (ICCV, 2001)

Optimal motion estimation from multiple images by normalized epipolar constraint. - Yi Ma 001; René Vidal; Shawn Hsu; Shankar Sastry 001 (Commun. Inf. Syst., 2001)

Optimization Criteria and Geometric Algorithms for Motion and Structure Estimation. - Yi Ma 001; Jana Kosecka; Shankar Sastry 001 (Int. J. Comput. Vis., 2001)

Generalized Rank Conditions in Multiple View Geometry with Applications to Dynamical Scenes. - Kun Huang 001; Robert M. Fossum; Yi Ma 001 (ECCV (2), 2002)

Multiple View Motion Estimation and Control for Landing an Unmanned Aerial Vehicle. - Omid Shakernia; René Vidal; Courtney S. Sharp; Yi Ma 001; Shankar Sastry 001 (ICRA, 2002)

An algebraic geometric approach to the identification of a class of linear hybrid systems. - René Vidal; Stefano Soatto; Yi Ma 001; Shankar Sastry 001 (CDC, 2003)

On Exploiting Occlusions in Multiple-view Geometry. - Paolo Favaro; Alessandro Duci; Yi Ma 001; Stefano Soatto (ICCV, 2003)

Geometric Segmentation of Perspective Images Based on Symmetry Groups. - Allen Y. Yang; Shankar R. Rao; Kun Huang 001; Wei Hong 003; Yi Ma 001 (ICCV, 2003)

Structure and pose from single images of symmetric objects with applications to robot navigation. - Allen Y. Yang; Wei Hong 003; Yi Ma 001 (ICRA, 2003)

Identification of hybrid linear time-invariant systems via subspace embedding and segmentation (SES). - Kun Huang 001; Andrew Wagner; Yi Ma 001 (CDC, 2004)

Minimum Effective Dimension for Mixtures of Subspaces: A Robust GPCA Algorithm and Its Applications. - Kun Huang 001; Yi Ma 001; René Vidal (CVPR (2), 2004)

A New GPCA Algorithm for Clustering Subspaces by Fitting, Differentiating and Dividing Polynomials. - René Vidal; Yi Ma 001; Jacopo Piazzi (CVPR (1), 2004)

Reconstruction of 3-D Symmetric Curves from Perspective Images without Discrete Features. - Wei Hong 003; Yi Ma 001; Yizhou Yu (ECCV (3), 2004)

A Unified Algebraic Approach to 2-D and 3-D Motion Segmentation. - René Vidal; Yi Ma 001 (ECCV (1), 2004)

Sparse representation of images with hybrid linear models. - Kun Huang 001; Allen Y. Yang; Yi Ma 001 (ICIP, 2004)

Large-baseline Matching and Reconstruction from Symmetry Cells. - Kun Huang 001; Allen Y. Yang; Wei Hong 003; Yi Ma 001 (ICRA, 2004)

Multiple-view geometry for image-based modeling. - Jana Kosecká; Yi Ma 001; Stefano Soatto; René Vidal (SIGGRAPH Course Notes, 2004)

On Symmetry and Multiple-View Geometry: Structure, Pose, and Calibration from a Single Image. - Wei Hong 003; Allen Y. Yang; Kun Huang 001; Yi Ma 001 (Int. J. Comput. Vis., 2004)

Rank Conditions on the Multiple-View Matrix. - Yi Ma 001; Kun Huang 001; René Vidal; Jana Kosecka; Shankar Sastry 001 (Int. J. Comput. Vis., 2004)

Segmentation of a Piece-Wise Planar Scene from Perspective Images. - Allen Y. Yang; Shankar R. Rao; Andrew Wagner; Yi Ma 001 (CVPR (1), 2005)

Identification of Deterministic Switched ARX Systems via Identification of Algebraic Varieties. - Yi Ma 001; René Vidal (HSCC, 2005)

A Multi-Scale Hybrid Linear Model for Lossy Image Representation. - Wei Hong 003; John Wright 001; Kun Huang 001; Yi Ma 001 (ICCV, 2005)

Segmentation of Hybrid Motions via Hybrid Quadratic Surface Analysis. - Shankar R. Rao; Allen Y. Yang; Andrew Wagner; Yi Ma 001 (ICCV, 2005)

Symmetry-based 3-D reconstruction from perspective images. - Allen Y. Yang; Kun Huang 001; Shankar R. Rao; Wei Hong 003; Yi Ma 001 (Comput. Vis. Image Underst., 2005)

Generalized Principal Component Analysis (GPCA). - René Vidal; Yi Ma 001; Shankar Sastry 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

Symmetry-based photo-editing. - Kun Huang 001; Wei Hong 003; Yi Ma 001 (Pattern Recognit., 2005)

Homography from Coplanar Ellipses with Application to Forensic Blood Splatter Reconstruction. - John Wright 001; Andrew Wagner; Shankar R. Rao; Yi Ma 001 (CVPR (1), 2006)

Robust Statistical Estimation and Segmentation of Multiple Subspaces. - Allen Y. Yang; Shankar R. Rao; Yi Ma 001 (CVPR Workshops, 2006)

Database-Guided Simultaneous Multi-slice 3D Segmentation for Volumetric Data. - Wei Hong 003; Bogdan Georgescu; Xiang Sean Zhou; Sriram Krishnan; Yi Ma 001; Dorin Comaniciu (ECCV (4), 2006)

Two-View Multibody Structure from Motion. - René Vidal; Yi Ma 001; Stefano Soatto; Shankar Sastry 001 (Int. J. Comput. Vis., 2006)

A Unified Algebraic Approach to 2-D and 3-D Motion Segmentation and Estimation. - René Vidal; Yi Ma 001 (J. Math. Imaging Vis., 2006)

Multiscale Hybrid Linear Models for Lossy Image Representation. - Wei Hong 003; John Wright 001; Kun Huang 001; Yi Ma 001 (IEEE Trans. Image Process., 2006)

Classification via Minimum Incremental Coding Length (MICL). - John Wright 001; Yangyu Tao; Zhouchen Lin; Yi Ma 001; Heung-Yeung Shum (NIPS, 2007)

Segmentation of multivariate mixed data via lossy coding and compression. - Harm Derksen; Yi Ma 001; Wei Hong 003; John Wright 001 (VCIP, 2007)

The algebra and statistics of generalized principal component analysis. - Shankar R. Rao; Harm Derksen; Robert M. Fossum; Yi Ma 001; Andrew Wagner; Allen Y. Yang (VCIP, 2007)

Segmentation of Multivariate Mixed Data via Lossy Data Coding and Compression. - Yi Ma 001; Harm Derksen; Wei Hong 003; John Wright 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Motion segmentation via robust subspace separation in the presence of outlying, incomplete, or corrupted trajectories. - Shankar R. Rao; Roberto Tron; René Vidal; Yi Ma 001 (CVPR, 2008)

Image super-resolution as sparse representation of raw image patches. - Jianchao Yang; John Wright 001; Thomas S. Huang; Yi Ma 001 (CVPR, 2008)

Demo: Robust face recognition via sparse representation. - John Wright 001; Arvind Ganesh; Zihan Zhou 001; Andrew Wagner; Yi Ma 001 (FG, 2008)

Nearest-Subspace Patch Matching for face recognition under varying pose and illumination. - Zihan Zhou 001; Arvind Ganesh; John Wright 001; Shen-Fu Tsai; Yi Ma 001 (FG, 2008)

Face hallucination VIA sparse coding. - Jianchao Yang; Hao Tang 001; Yi Ma 001; Thomas S. Huang (ICIP, 2008)

Unsupervised segmentation of natural images via lossy data compression. - Allen Y. Yang; John Wright 001; Yi Ma 001; S. Shankar Sastry (Comput. Vis. Image Underst., 2008)

Estimation of Subspace Arrangements with Applications in Modeling and Segmenting Mixed Data. - Yi Ma 001; Allen Y. Yang; Harm Derksen; Robert M. Fossum (SIAM Rev., 2008)

Learning Topology of Curves with Application to Clustering. - Hossein Mobahi; Shankar R. Rao; Yi Ma 001 (AAAI Fall Symposium: Manifold Learning and Its Applications, 2009)

Natural Image Segmentation with Adaptive Texture and Boundary Encoding. - Shankar R. Rao; Hossein Mobahi; Allen Y. Yang; Shankar Sastry 001; Yi Ma 001 (ACCV (1), 2009)

Minimum sum of distances estimator: Robustness and stability. - Yoav Sharon; John Wright 001; Yi Ma 001 (ACC, 2009)

Towards a practical face recognition system: Robust registration and illumination by sparse representation. - Andrew Wagner; John Wright 001; Arvind Ganesh; Zihan Zhou 001; Yi Ma 001 (CVPR, 2009)

Separation of a subspace-sparse signal: Algorithms and conditions. - Arvind Ganesh; Zihan Zhou 001; Yi Ma 001 (ICASSP, 2009)

Dense error correction via l1-minimization. - John Wright 001; Yi Ma 001 (ICASSP, 2009)

Face recognition with contiguous occlusion using markov random fields. - Zihan Zhou 001; Andrew Wagner; Hossein Mobahi; John Wright 001; Yi Ma 001 (ICCV, 2009)

Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization. - John Wright 001; Arvind Ganesh; Shankar R. Rao; YiGang Peng; Yi Ma 001 (NIPS, 2009)

Data-driven image completion by image patch subspaces. - Hossein Mobahi; Shankar R. Rao; Yi Ma 001 (PCS, 2009)

Distributed Video Coding using Compressive Sampling. - Josep Prades-Nebot; Yi Ma 001; Thomas S. Huang (PCS, 2009)

Robust Face Recognition via Sparse Representation. - John Wright 001; Allen Y. Yang; Arvind Ganesh; S. Shankar Sastry; Yi Ma 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Classification via Minimum Incremental Coding Length. - John Wright 001; Yi Ma 001; Yangyu Tao; Zhouchen Lin; Heung-Yeung Shum (SIAM J. Imaging Sci., 2009)

Robust Photometric Stereo via Low-Rank Matrix Completion and Recovery. - Lun Wu; Arvind Ganesh; Boxin Shi; Yasuyuki Matsushita; Yongtian Wang; Yi Ma 001 (ACCV (3), 2010)

Adaptive control using quantized measurements with application to vision-only landing control. - Yoav Sharon; Daniel Liberzon; Yi Ma 001 (CDC, 2010)

Decomposing background topics from keywords by principal component pursuit. - Kerui Min; Zhengdong Zhang 001; John Wright 001; Yi Ma 001 (CIKM, 2010)

Compact projection: Simple and efficient near neighbor search with practical memory requirements. - Kerui Min; Linjun Yang; John Wright 001; Lei Wu; Xian-Sheng Hua 001; Yi Ma 001 (CVPR, 2010)

Fast l1-minimization algorithms and an application in robust face recognition: A review. - Allen Y. Yang; S. Shankar Sastry; Arvind Ganesh; Yi Ma 001 (ICIP, 2010)

Towards a robust face recognition system using compressive sensing. - Allen Y. Yang; Zihan Zhou 001; Yi Ma 001; Shankar Sastry 001 (INTERSPEECH, 2010)

Dense error correction for low-rank matrices via Principal Component Pursuit. - Arvind Ganesh; John Wright 001; Xiaodong Li 005; Emmanuel J. Candès; Yi Ma 001 (ISIT, 2010)

Stable Principal Component Pursuit. - Zihan Zhou 001; Xiaodong Li 005; John Wright 001; Emmanuel J. Candès; Yi Ma 001 (ISIT, 2010)

Image tag refinement towards low-rank, content-tag prior and error sparsity. - Guangyu Zhu 002; Shuicheng Yan; Yi Ma 001 (ACM Multimedia, 2010)

The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices. - Zhouchen Lin; Minming Chen; Yi Ma 001 (CoRR, 2010)

A Review of Fast l1-Minimization Algorithms for Robust Face Recognition - Allen Y. Yang; Arvind Ganesh; Zihan Zhou 001; Shankar Sastry 001; Yi Ma 001 (CoRR, 2010)

Robust Algebraic Segmentation of Mixed Rigid-Body and Planar Motions from Two Views. - Shankar R. Rao; Allen Y. Yang; Shankar Sastry 001; Yi Ma 001 (Int. J. Comput. Vis., 2010)

Motion Segmentation in the Presence of Outlying, Incomplete, or Corrupted Trajectories. - Shankar R. Rao; Roberto Tron; René Vidal; Yi Ma 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Applications of Sparse Representation and Compressive Sensing. - Richard G. Baraniuk; Emmanuel J. Candès; Michael Elad; Yi Ma 001 (Proc. IEEE, 2010)

On the Role of Sparse and Redundant Representations in Image Processing. - Michael Elad; Mário A. T. Figueiredo; Yi Ma 001 (Proc. IEEE, 2010)

Sparse Representation for Computer Vision and Pattern Recognition. - John Wright 001; Yi Ma 001; Julien Mairal; Guillermo Sapiro; Thomas S. Huang; Shuicheng Yan (Proc. IEEE, 2010)

Image Super-Resolution Via Sparse Representation. - Jianchao Yang; John Wright 001; Thomas S. Huang; Yi Ma 001 (IEEE Trans. Image Process., 2010)

Dense error correction via l1-minimization. - John Wright 001; Yi Ma 001 (IEEE Trans. Inf. Theory, 2010)

Fast ℓ1-minimization and parallelization for face recognition. - Victor Shia; Allen Y. Yang; S. Shankar Sastry; Andrew Wagner; Yi Ma 001 (ACSCC, 2011)

Camera calibration with lens distortion from low-rank textures. - Zhengdong Zhang 001; Yasuyuki Matsushita; Yi Ma 001 (CVPR, 2011)

Unwrapping low-rank textures on generalized cylindrical surfaces. - Zhengdong Zhang 001; Xiao Liang 002; Yi Ma 001 (ICCV, 2011)

Holistic 3D reconstruction of urban structures from low-rank textures. - Hossein Mobahi; Zihan Zhou 001; Allen Y. Yang; Yi Ma 001 (ICCV Workshops, 2011)

Sparsity and Robustness in Face Recognition - John Wright 001; Arvind Ganesh; Allen Y. Yang; Zihan Zhou 001; Yi Ma 001 (CoRR, 2011)

Segmentation of Natural Images by Texture and Boundary Compression. - Hossein Mobahi; Shankar R. Rao; Allen Y. Yang; Shankar S. Sastry; Yi Ma 001 (Int. J. Comput. Vis., 2011)

Robust principal component analysis? - Emmanuel J. Candès; Xiaodong Li 005; Yi Ma 001; John Wright 001 (J. ACM, 2011)

Introduction to the Special Section on Real-World Face Recognition. - Gang Hua 001; Ming-Hsuan Yang 001; Erik G. Learned-Miller; Yi Ma 001; Matthew Turk 001; David J. Kriegman; Thomas S. Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Dimensionality Reduction via Subspace and Submanifold Learning [From the Guest Editors]. - Yi Ma 001; Partha Niyogi; Guillermo Sapiro; René Vidal (IEEE Signal Process. Mag., 2011)

Face recognition by sparse representation. - Arvind Ganesh; Andrew Wagner; Zihan Zhou 001; Allen Y. Yang; Yi Ma 001; John Wright 001 (Compressed Sensing, 2012)

One-Class Multiple Instance Learning via Robust PCA for Common Object Discovery. - Xinggang Wang; Zhengdong Zhang 001; Yi Ma 001; Xiang Bai; Wenyu Liu 001; Zhuowen Tu (ACCV (1), 2012)

Seeing through the blur. - Hossein Mobahi; C. Lawrence Zitnick; Yi Ma 001 (CVPR, 2012)

Detecting texts of arbitrary orientations in natural images. - Cong Yao; Xiang Bai; Wenyu Liu 001; Yi Ma 001; Zhuowen Tu (CVPR, 2012)

Robust plane-based structure from motion. - Zihan Zhou 001; Hailin Jin; Yi Ma 001 (CVPR, 2012)

Non-negative low rank and sparse graph for semi-supervised learning. - Liansheng Zhuang; Haoyuan Gao; Zhouchen Lin; Yi Ma 001; Xin Zhang 051; Nenghai Yu (CVPR, 2012)

Towards Optimal Design of Time and Color Multiplexing Codes. - Tsung-Han Chan; Kui Jia; Eliot Wycoff; Chong-Yung Chi; Yi Ma 001 (ECCV (6), 2012)

Robust and Practical Face Recognition via Structured Sparsity. - Kui Jia; Tsung-Han Chan; Yi Ma 001 (ECCV (4), 2012)

Repairing Sparse Low-Rank Texture. - Xiao Liang 002; Xiang Ren 001; Zhengdong Zhang 001; Yi Ma 001 (ECCV (5), 2012)

Principal Component Pursuit with reduced linear measurements. - Arvind Ganesh; Kerui Min; John Wright 001; Yi Ma 001 (ISIT, 2012)

Compressive principal component pursuit. - John Wright 001; Arvind Ganesh; Kerui Min; Yi Ma 001 (ISIT, 2012)

Blind Image Deblurring by Spectral Properties of Convolution Operators - Guangcan Liu; Yi Ma 001 (CoRR, 2012)

TILT: Transform Invariant Low-Rank Textures. - Zhengdong Zhang 001; Arvind Ganesh; Xiao Liang 002; Yi Ma 001 (Int. J. Comput. Vis., 2012)

RASL: Robust Alignment by Sparse and Low-Rank Decomposition for Linearly Correlated Images. - YiGang Peng; Arvind Ganesh; John Wright 001; Wenli Xu; Yi Ma 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Toward a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation. - Andrew Wagner; John Wright 001; Arvind Ganesh; Zihan Zhou 001; Hossein Mobahi; Yi Ma 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Video Editing with Temporal, Spatial and Appearance Consistency. - Xiaojie Guo 001; Xiaochun Cao; Xiaowu Chen 001; Yi Ma 001 (CVPR, 2013)

Learning by Associating Ambiguously Labeled Images. - Zinan Zeng; Shijie Xiao; Kui Jia; Tsung-Han Chan; Shenghua Gao; Dong Xu 001; Yi Ma 001 (CVPR, 2013)

Plane-Based Content Preserving Warps for Video Stabilization. - Zihan Zhou 001; Hailin Jin; Yi Ma 001 (CVPR, 2013)

Single-Sample Face Recognition with Image Corruption and Misalignment via Sparse Illumination Transfer. - Liansheng Zhuang; Allen Y. Yang; Zihan Zhou 001; S. Shankar Sastry; Yi Ma 001 (CVPR, 2013)

Joint topic-document modeling via low-dimensional sparse models. - Kerui Min; Yi Ma 001 (ICASSP, 2013)

A non-negative sparse promoting algorithm for high resolution hyperspectral imaging. - Eliot Wycoff; Tsung-Han Chan; Kui Jia; Wing-Kin Ma; Yi Ma 001 (ICASSP, 2013)

Rectification of Optical Characters as Transform Invariant Low-Rank Textures. - Xin Zhang 051; Zhouchen Lin; Fuchun Sun 001; Yi Ma 001 (ICDAR, 2013)

Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors. - Xiaoqin Zhang 002; Di Wang 008; Zhengyuan Zhou; Yi Ma 001 (NIPS, 2013)

Robust Recovery of Subspace Structures by Low-Rank Representation. - Guangcan Liu; Zhouchen Lin; Shuicheng Yan; Ju Sun; Yong Yu 001; Yi Ma 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Fast 퓁 1 -Minimization Algorithms for Robust Face Recognition. - Allen Y. Yang; Zihan Zhou 001; A. G. Balasubramanian; S. Shankar Sastry; Yi Ma 001 (IEEE Trans. Image Process., 2013)

Hybrid Singular Value Thresholding for Tensor Completion. - Xiaoqin Zhang 002; Zhengyuan Zhou; Di Wang 008; Yi Ma 001 (AAAI, 2014)

Unsupervised Feature Learning for RGB-D Image Classification. - I-Hong Jhuo; Shenghua Gao; Liansheng Zhuang; D. T. Lee; Yi Ma 001 (ACCV (1), 2014)

Robust Separation of Reflection from Multiple Images. - Xiaojie Guo 001; Xiaochun Cao; Yi Ma 001 (CVPR, 2014)

Robust Foreground Detection Using Smoothness and Arbitrariness Constraints. - Xiaojie Guo 001; Xinggang Wang; Liang Yang 002; Xiaochun Cao; Yi Ma 001 (ECCV (7), 2014)

Image restoration via Bayesian structured sparse coding. - Weisheng Dong; Xin Li 005; Yi Ma 001; Guangming Shi (ICIP, 2014)

ROML: A Robust Feature Correspondence Approach for Matching Objects in A Set of Images. - Kui Jia; Tsung-Han Chan; Zinan Zeng; Gang Wang 012; Tianzhu Zhang; Yi Ma 001 (CoRR, 2014)

Constructing a Non-Negative Low Rank and Sparse Graph with Data-Adaptive Features. - Liansheng Zhuang; Shenghua Gao; Jinhui Tang 001; Jingjing Wang 005; Zhouchen Lin; Yi Ma 001 (CoRR, 2014)

Robust Subspace Discovery via Relaxed Rank Minimization. - Xinggang Wang; Zhengdong Zhang 001; Yi Ma 001; Xiang Bai; Wenyu Liu 001; Zhuowen Tu (Neural Comput., 2014)

Nonlocal Sparse and Low-Rank Regularization for Optical Flow Estimation. - Weisheng Dong; Guangming Shi; Xiaocheng Hu; Yi Ma 001 (IEEE Trans. Image Process., 2014)

Compressive Sensing via Nonlocal Low-Rank Regularization. - Weisheng Dong; Guangming Shi; Xin Li 005; Yi Ma 001; Feng Huang (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 001 (IEEE Trans. Image Process., 2014)

Blind Image Deblurring Using Spectral Properties of Convolution Operators. - Guangcan Liu; Shiyu Chang; Yi Ma 001 (IEEE Trans. Image Process., 2014)

Fast Low-Rank Subspace Segmentation. - Xin Zhang 051; Fuchun Sun 001; Guangcan Liu; Yi Ma 001 (IEEE Trans. Knowl. Data Eng., 2014)

MMSE Design of Time and Color Multiplexing Codes. - Tsung-Han Chan; Kui Jia; Eliot Wycoff; Yi Ma 001 (IEEE Trans. Signal Process., 2014)

Transform invariant text extraction. - Xin Zhang 051; Zhouchen Lin; Fuchun Sun 001; Yi Ma 001 (Vis. Comput., 2014)

Low-Rank Tensor Approximation with Laplacian Scale Mixture Modeling for Multiframe Image Denoising. - Weisheng Dong; Guangyu Li; Guangming Shi; Xin Li 005; Yi Ma 001 (ICCV, 2015)

Robust Face Recognition by Constrained Part-based Alignment. - Yuting Zhang 001; Kui Jia; Yueming Wang 001; Gang Pan 001; Tsung-Han Chan; Yi Ma 001 (CoRR, 2015)

Image Restoration via Simultaneous Sparse Coding: Where Structured Sparsity Meets Gaussian Scale Mixture. - Weisheng Dong; Guangming Shi; Yi Ma 001; Xin Li 005 (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 001 (Int. J. Comput. Vis., 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 001 (Int. J. Comput. Vis., 2015)

PCANet: A Simple Deep Learning Baseline for Image Classification? - Tsung-Han Chan; Kui Jia; Shenghua Gao; Jiwen Lu; Zinan Zeng; Yi Ma 001 (IEEE Trans. Image Process., 2015)

Constructing a Nonnegative Low-Rank and Sparse Graph With Data-Adaptive Features. - Liansheng Zhuang; Shenghua Gao; Jinhui Tang 001; Jingjing Wang 005; Zhouchen Lin; Yi Ma 001; Nenghai Yu (IEEE Trans. Image Process., 2015)

Non-blind deblurring of structured images with geometric deformation. - Xin Zhang 051; Fuchun Sun 001; Guangcan Liu; Yi Ma 001 (Vis. Comput., 2015)

Generalized Principal Component Analysis. - René Vidal; Yi Ma 001; S. Shankar Sastry (Springer, 2016)

Robust Plane-Based Calibration of Multiple Non-Overlapping Cameras. - Chen Zhu; Zihan Zhou 001; Ziran Xing; Yanbing Dong; Yi Ma 001; Jingyi Yu (3DV, 2016)

Single-Image Crowd Counting via Multi-Column Convolutional Neural Network. - Yingying Zhang; Desen Zhou; Siqin Chen; Shenghua Gao; Yi Ma 001 (CVPR, 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 012; Tianzhu Zhang; Yi Ma 001 (Int. J. Comput. Vis., 2016)

Locality-preserving low-rank representation for graph construction from nonlinear manifolds. - Liansheng Zhuang; Jingjing Wang 005; Zhouchen Lin; Allen Y. Yang; Yi Ma 001; Nenghai Yu (Neurocomputing, 2016)

Texture Repairing by Unified Low Rank Optimization. - Xiao Liang 002; Xiang Ren 001; Zhengdong Zhang 001; Yi Ma 001 (J. Comput. Sci. Technol., 2016)

Label Information Guided Graph Construction for Semi-Supervised Learning. - Liansheng Zhuang; Zihan Zhou 001; Shenghua Gao; Jingwen Yin; Zhouchen Lin; Yi Ma 001 (IEEE Trans. Image Process., 2017)

Learning to Parse Wireframes in Images of Man-Made Environments. - Kun Huang 001; Yifan Wang; Zihan Zhou 001; Tianjiao Ding; Shenghua Gao; Yi Ma 001 (CVPR, 2018)

Robust Tensor Approximation With Laplacian Scale Mixture Modeling for Multiframe Image and Video Denoising. - Weisheng Dong; Tao Huang; Guangming Shi; Yi Ma 001; Xin Li 005 (IEEE J. Sel. Top. Signal Process., 2018)

End-to-End Wireframe Parsing. - Yichao Zhou 003; Haozhi Qi; Yi Ma 001 (ICCV, 2019)

Learning to Reconstruct 3D Manhattan Wireframes From a Single Image. - Yichao Zhou 003; Haozhi Qi; Yuexiang Zhai; Qi Sun 003; Zhili Chen; Li-Yi Wei; Yi Ma 001 (ICCV, 2019)

NeurVPS: Neural Vanishing Point Scanning via Conic Convolution. - Yichao Zhou 003; Haozhi Qi; Jingwei Huang 001; Yi Ma 001 (NeurIPS, 2019)

Towards Unified Acceleration of High-Order Algorithms under Hölder Continuity and Uniform Convexity. - Chaobing Song; Yi Ma 001 (CoRR, 2019)

Complete Dictionary Learning via 𝓁4-Norm Maximization over the Orthogonal Group. - Yuexiang Zhai; Zitong Yang; Zhenyu Liao 003; John Wright 001; Yi Ma 001 (CoRR, 2019)

Understanding l4-based Dictionary Learning: Interpretation, Stability, and Robustness. - Yuexiang Zhai; Hermish Mehta; Zhengyuan Zhou; Yi Ma 001 (ICLR, 2020)

Deep Isometric Learning for Visual Recognition. - Haozhi Qi; Chong You; Xiaolong Wang 004; Yi Ma 001; Jitendra Malik (ICML, 2020)

Rethinking Bias-Variance Trade-off for Generalization of Neural Networks. - Zitong Yang; Yaodong Yu; Chong You; Jacob Steinhardt; Yi Ma 001 (ICML, 2020)

Disentangled Representation Learning for Controllable Image Synthesis: An Information-Theoretic Perspective. - Shichang Tang; Xu Zhou 005; Xuming He 001; Yi Ma 001 (ICPR, 2020)

Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization. - Chaobing Song; Yong Jiang 001; Yi Ma 001 (NeurIPS, 2020)

Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities. - Chaobing Song; Zhengyuan Zhou; Yichao Zhou 003; Yong Jiang 001; Yi Ma 001 (NeurIPS, 2020)

Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization. - Chong You; Zhihui Zhu; Qing Qu 001; Yi Ma 001 (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 001 (NeurIPS, 2020)

Learning to Detect 3D Reflection Symmetry for Single-View Reconstruction. - Yichao Zhou 003; Shichen Liu; Yi Ma 001 (CoRR, 2020)

Stochastic Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization. - Chaobing Song; Yong Jiang 001; Yi Ma 001 (CoRR, 2020)

HoliCity: A City-Scale Data Platform for Learning Holistic 3D Structures. - Yichao Zhou 003; Jingwei Huang 001; Xili Dai; Linjie Luo; Zhili Chen; Yi Ma 001 (CoRR, 2020)

Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated Gradients. - Yifei Huang; Yaodong Yu; Hongyang Zhang 001; Yi Ma 001; Yuan Yao (CoRR, 2020)

Deep Networks from the Principle of Rate Reduction. - Kwan Ho Ryan Chan; Yaodong Yu; Chong You; Haozhi Qi; John Wright 001; Yi Ma 001 (CoRR, 2020)

Complete Dictionary Learning via L4-Norm Maximization over the Orthogonal Group. - Yuexiang Zhai; Zitong Yang; Zhenyu Liao 003; John Wright 001; Yi Ma 001 (J. Mach. Learn. Res., 2020)

Parameter-Free Gaussian PSF Model for Extended Depth of Field in Brightfield Microscopy. - Xu Zhou 005; Rafael Molina 001; Yi Ma 001; Tianfu Wang 001; Dong Ni 001 (IEEE Trans. Image Process., 2020)

EventZoom: Learning To Denoise and Super Resolve Neuromorphic Events. - Peiqi Duan; Zihao W. Wang; Xinyu Zhou; Yi Ma 001; Boxin Shi (CVPR, 2021)

Incremental Learning via Rate Reduction. - Ziyang Wu; Christina Baek; Chong You; Yi Ma 001 (CVPR, 2021)

NeRD: Neural 3D Reflection Symmetry Detector. - Yichao Zhou 003; Shichen Liu; Yi Ma 001 (CVPR, 2021)

Learning Long-term Visual Dynamics with Region Proposal Interaction Networks. - Haozhi Qi; Xiaolong Wang 004; Deepak Pathak; Yi Ma 001; Jitendra Malik (ICLR, 2021)

Adversarial Robustness of Stabilized Neural ODE Might be from Obfuscated Gradients. - Yifei Huang; Yaodong Yu; Hongyang Zhang 001; Yi Ma 001; Yuan Yao (MSML, 2021)

Understanding Generalization in Adversarial Training via the Bias-Variance Decomposition. - Yaodong Yu; Zitong Yang; Edgar Dobriban; Jacob Steinhardt; Yi Ma 001 (CoRR, 2021)

Fully Convolutional Line Parsing. - Xili Dai; Xiaojun Yuan 002; Haigang Gong; Yi Ma 001 (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 001; Nicolas Le Roux; Michael I. Jordan (CoRR, 2021)

Computational Benefits of Intermediate Rewards for Hierarchical Planning. - Yuexiang Zhai; Christina Baek; Zhengyuan Zhou; Jiantao Jiao; Yi Ma 001 (CoRR, 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 002; Heung-Yeung Shum; Yi Ma 001 (CoRR, 2021)

Robust Low-Rank Tensor Recovery with Rectification and Alignment. - Xiaoqin Zhang 002; Di Wang 008; Zhengyuan Zhou; Yi Ma 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Unified Acceleration of High-Order Algorithms under General Hölder Continuity. - Chaobing Song; Yong Jiang 001; Yi Ma 001 (SIAM J. Optim., 2021)

On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging. - Chris Junchi Li; Yaodong Yu; Nicolas Loizou; Gauthier Gidel; Yi Ma 001; Nicolas Le Roux; Michael I. Jordan (AISTATS, 2022)

In-Hand Object Rotation via Rapid Motor Adaptation. - Haozhi Qi; Ashish Kumar 007; Roberto Calandra; Yi Ma 001; Jitendra Malik (CoRL, 2022)

Efficient Maximal Coding Rate Reduction by Variational Forms. - Christina Baek; Ziyang Wu; Kwan Ho Ryan Chan; Tianjiao Ding; Yi Ma 001; Benjamin D. Haeffele (CVPR, 2022)

EvUnroll: Neuromorphic Events based Rolling Shutter Image Correction. - Xinyu Zhou; Peiqi Duan; Yi Ma 001; Boxin Shi (CVPR, 2022)

Predicting Out-of-Distribution Error with the Projection Norm. - Yaodong Yu; Zitong Yang; Alexander Wei 001; Yi Ma 001; Jacob Steinhardt (ICML, 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 001 (NeurIPS, 2022)

TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels. - Yaodong Yu; Alexander Wei 001; Sai Praneeth Karimireddy; Yi Ma 001; Michael I. Jordan (NeurIPS, 2022)

Robust Calibration with Multi-domain Temperature Scaling. - Yaodong Yu; Stephen Bates; Yi Ma 001; Michael I. Jordan (NeurIPS, 2022)

Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image. - Cheng Yang; Jia Zheng 002; Xili Dai; Rui Tang; Yi Ma 001; Xiaojun Yuan 002 (WACV, 2022)

Minimalistic Unsupervised Learning with the Sparse Manifold Transform. - Yubei Chen; Zeyu Yun; Yi Ma 001; Bruno A. Olshausen; Yann LeCun (CoRR, 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 001 (CoRR, 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 002; Heung-Yeung Shum; Yi Ma 001 (Entropy, 2022)

Fully convolutional line parsing. - Xili Dai; Haigang Gong; Shuai Wu; Xiaojun Yuan 002; Yi Ma 001 (Neurocomputing, 2022)

Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning. - Yuexiang Zhai; Christina Baek; Zhengyuan Zhou; Jiantao Jiao; Yi Ma 001 (J. Artif. Intell. Res., 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 001; Yi Ma 001 (J. Mach. Learn. Res., 2022)

On the principles of Parsimony and Self-consistency for the emergence of intelligence. - Yi Ma 001; Doris Tsao; Heung-Yeung Shum (Frontiers Inf. Technol. Electron. Eng., 2022)

Learning and Meshing From Deep Implicit Surface Networks Using an Efficient Implementation of Analytic Marching. - Jiabao Lei; Kui Jia; Yi Ma 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

General In-hand Object Rotation with Vision and Touch. - Haozhi Qi; Brent Yi; Sudharshan Suresh; Mike Lambeta; Yi Ma 001; Roberto Calandra; Jitendra Malik (CoRL, 2023)

Unsupervised Manifold Linearizing and Clustering. - Tianjiao Ding; Shengbang Tong; Kwan Ho Ryan Chan; Xili Dai; Yi Ma 001; Benjamin D. Haeffele (ICCV, 2023)

Canonical Factors for Hybrid Neural Fields. - Brent Yi; Weijia Zeng; Sam Buchanan; Yi Ma 001 (ICCV, 2023)

Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform. - Yubei Chen; Zeyu Yun; Yi Ma 001; Bruno A. Olshausen; Yann LeCun (ICLR, 2023)

Incremental Learning of Structured Memory via Closed-Loop Transcription. - Shengbang Tong; Xili Dai; Ziyang Wu; Mingyang Li; Brent Yi; Yi Ma 001 (ICLR, 2023)

Understanding the Complexity Gains of Single-Task RL with a Curriculum. - Qiyang Li; Yuexiang Zhai; Yi Ma 001; Sergey Levine (ICML, 2023)

Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning. - Mitsuhiko Nakamoto; Simon Zhai; Anikait Singh; Max Sobol Mark; Yi Ma 001; Chelsea Finn; Aviral Kumar; Sergey Levine (NeurIPS, 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 001 (NeurIPS, 2023)

Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning. - Mitsuhiko Nakamoto; Yuexiang Zhai; Anikait Singh; Max Sobol Mark; Yi Ma 001; Chelsea Finn; Aviral Kumar; Sergey Levine (CoRR, 2023)

EMP-SSL: Towards Self-Supervised Learning in One Training Epoch. - Shengbang Tong; Yubei Chen; Yi Ma 001; Yann LeCun (CoRR, 2023)

Scaff-PD: Communication Efficient Fair and Robust Federated Learning. - Yaodong Yu; Sai Praneeth Karimireddy; Yi Ma 001; Michael I. Jordan (CoRR, 2023)

Investigating the Catastrophic Forgetting in Multimodal Large Language Models. - Yuexiang Zhai; Shengbang Tong; Xiao Li 022; Mu Cai; Qing Qu 001; Yong Jae Lee; Yi Ma 001 (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 001 (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 001; S. Shankar Sastry (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 001; Boxin Shi (CoRR, 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 001 (J. Frankl. Inst., 2023)

NeuroZoom: Denoising and Super Resolving Neuromorphic Events and Spikes. - Peiqi Duan; Yi Ma 001; Xinyu Zhou; Xinyu Shi; Zihao W. Wang; Tiejun Huang 001; Boxin Shi (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Lessons from Learning to Spin "Pens". - Jun Wang; Ying Yuan; Haichuan Che; Haozhi Qi; Yi Ma 001; Jitendra Malik; Xiaolong Wang 004 (CoRL, 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 002; Heung-Yeung Shum; Lionel M. Ni; Yi Ma 001 (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 001 (CPAL, 2024)

Emergence of Segmentation with Minimalistic White-Box Transformers. - Yaodong Yu; Tianzhe Chu; Shengbang Tong; Ziyang Wu; Druv Pai; Sam Buchanan; Yi Ma 001 (CPAL, 2024)

Investigating the Catastrophic Forgetting in Multimodal Large Language Model Fine-Tuning. - Yuexiang Zhai; Shengbang Tong; Xiao Li 022; Mu Cai; Qing Qu 001; Yong Jae Lee; Yi Ma 001 (CPAL, 2024)

Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs. - Shengbang Tong; Zhuang Liu 003; Yuexiang Zhai; Yi Ma 001; Yann LeCun; Saining Xie (CVPR, 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; René Vidal; Yi Ma 001 (ICLR, 2024)

RLIF: Interactive Imitation Learning as Reinforcement Learning. - Jianlan Luo; Perry Dong; Yuexiang Zhai; Yi Ma 001; Sergey Levine (ICLR, 2024)

Masked Completion via Structured Diffusion with White-Box Transformers. - Druv Pai; Sam Buchanan; Ziyang Wu; Yaodong Yu; Yi Ma 001 (ICLR, 2024)

A Global Geometric Analysis of Maximal Coding Rate Reduction. - Peng Wang 098; Huikang Liu; Druv Pai; Yaodong Yu; Zhihui Zhu; Qing Qu 001; Yi Ma 001 (ICML, 2024)

Learning a Diffusion Model Policy from Rewards via Q-Score Matching. - Michael Psenka; Alejandro Escontrela; Pieter Abbeel; Yi Ma 001 (ICML, 2024)

Differentially Private Representation Learning via Image Captioning. - Tom Sander; Yaodong Yu; Maziar Sanjabi; Alain Oliviero Durmus; Yi Ma 001; Kamalika Chaudhuri; Chuan Guo 001 (ICML, 2024)

ViP: A Differentially Private Foundation Model for Computer Vision. - Yaodong Yu; Maziar Sanjabi; Yi Ma 001; Kamalika Chaudhuri; Chuan Guo 001 (ICML, 2024)

Insight: A Multi-modal Diagnostic Pipeline Using LLMs for Ocular Surface Disease Diagnosis. - Chun-Hsiao Yeh; Jiayun Wang; Andrew D. Graham; Andrea J. Liu; Bo Tan; Yubei Chen; Yi Ma 001; Meng C. Lin (MICCAI (1), 2024)

Color4E: Event Demosaicing for Full-color Event Guided Image Deblurring. - Yi Ma 001; Peiqi Duan; Yuchen Hong; Chu Zhou; Yu Zhang 035; Jimmy S. J. Ren; Boxin Shi (ACM Multimedia, 2024)

Scaling White-Box Transformers for Vision. - Jinrui Yang; Xianhang Li; Druv Pai; Yuyin Zhou; Yi Ma 001; Yaodong Yu; Cihang Xie (NeurIPS, 2024)

Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning. - Simon Zhai; Hao Bai; Zipeng Lin; Jiayi Pan; Peter Tong; Yifei Zhou; Alane Suhr; Saining Xie; Yann LeCun; Yi Ma 001; Sergey Levine (NeurIPS, 2024)

Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition. - Chun-Hsiao Yeh; Ta Ying Cheng; He-Yen Hsieh; Chuan-En Lin; Yi Ma 001; Andrew Markham; Niki Trigoni; Hsiang-Tsung Kung 001; Yubei Chen (CoRR, 2024)

Ctrl123: Consistent Novel View Synthesis via Closed-Loop Transcription. - Hongxiang Zhao; Xili Dai; Jianan Wang; Shengbang Tong; Jingyuan Zhang; Weida Wang; Lei Zhang 001; Yi Ma 001 (CoRR, 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 001; Sergey Levine (CoRR, 2024)

Diffusion Models Learn Low-Dimensional Distributions via Subspace Clustering. - Peng Wang 098; Huijie Zhang; Zekai Zhang; Siyi Chen; Yi Ma 001; Qing Qu 001 (CoRR, 2024)

Estimating Body and Hand Motion in an Ego-sensed World. - Brent Yi; Vickie Ye; Maya Zheng; Lea Müller; Georgios Pavlakos; Yi Ma 001; Jitendra Malik; Angjoo Kanazawa (CoRR, 2024)

CAD-MLLM: Unifying Multimodality-Conditioned CAD Generation With MLLM. - Jingwei Xu; Chenyu Wang; Zibo Zhao; Wen Liu 003; Yi Ma 001; Shenghua Gao (CoRR, 2024)

Representation Learning via Manifold Flattening and Reconstruction. - Michael Psenka; Druv Pai; Vishal Raman; Shankar Sastry 001; Yi Ma 001 (J. Mach. Learn. Res., 2024)

Editorial Introduction to the Special Issue Seeking Low-Dimensionality in Deep Neural Networks (SLowDNN). - Yi Ma 001; Yuejie Chi; Ivan Dokmanic; Bihan Wen; John N. Wright; Zhihui Zhu (IEEE J. Sel. Top. Signal Process., 2024)

Improving Neuron-level Interpretability with White-box Language Models. - Hao Bai; Yi Ma 001 (CPAL, 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 001; Jitendra Malik; Angjoo Kanazawa (CVPR, 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 001; Benjamin David Haeffele (ICLR, 2025)

From Simple to Complex Skills: The Case of In-Hand Object Reorientation. - Haozhi Qi; Brent Yi; Mike Lambeta; Yi Ma 001; Roberto Calandra; Jitendra Malik (CoRR, 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 001 (CoRR, 2025)

Simplifying DINO via Coding Rate Regularization. - Ziyang Wu; Jingyuan Zhang; Druv Pai; Xudong Wang; Chandan Singh; Jianwei Yang; Jianfeng Gao 001; Yi Ma 001 (CoRR, 2025)

Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMs. - Chun-Hsiao Yeh; Chenyu Wang; Shengbang Tong; Ta Ying Cheng; Ruoyu Wang 014; Tianzhe Chu; Yuexiang Zhai; Yubei Chen; Shenghua Gao; Yi Ma 001 (CoRR, 2025)

PyRoki: A Modular Toolkit for Robot Kinematic Optimization. - Chung Min Kim; Brent Yi; Hongsuk Choi; Yi Ma 001; Ken Goldberg; Angjoo Kanazawa (CoRR, 2025)

Recollection from Pensieve: Novel View Synthesis via Learning from Uncalibrated Videos. - Ruoyu Wang 014; Yi Ma 001; Shenghua Gao (CoRR, 2025)

Attention-Only Transformers via Unrolled Subspace Denoising. - Peng Wang 098; Yifu Lu; Yaodong Yu; Druv Pai; Qing Qu 001; Yi Ma 001 (CoRR, 2025)

Cameras as Relative Positional Encoding. - Ruilong Li; Brent Yi; Junchen Liu; Hang Gao; Yi Ma 001; Angjoo Kanazawa (CoRR, 2025)

Viser: Imperative, Web-based 3D Visualization in Python. - Brent Yi; Chung Min Kim; Justin Kerr; Gina Wu; Rebecca Feng; Anthony Zhang; Jonas Kulhanek; Hongsuk Choi; Yi Ma 001; Matthew Tancik; Angjoo Kanazawa (CoRR, 2025)

EventAid: Benchmarking Event-Aided Image/Video Enhancement Algorithms With Real-Captured Hybrid Dataset. - Peiqi Duan; Boyu Li; Yixin Yang; Hanyue Lou; Minggui Teng; Xinyu Zhou; Yi Ma 001; Boxin Shi (IEEE Trans. Pattern Anal. Mach. Intell., 2025)