Vidal, Rene

153 publications

AISTATS 2025 A Convex Relaxation Approach to Generalization Analysis for Parallel Positively Homogeneous Networks Uday Kiran Reddy Tadipatri, Benjamin David Haeffele, Joshua Agterberg, Rene Vidal

TMLR 2025 A Local Polyak-Łojasiewicz and Descent Lemma of Gradient Descent for Overparametrized Linear Models Ziqing Xu, Hancheng Min, Salma Tarmoun, Enrique Mallada, Rene Vidal

CVPR 2025 Concept Lancet: Image Editing with Compositional Representation Transplant Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan, Hancheng Min, Chris Callison-Burch, Rene Vidal

NeurIPS 2025 Conformal Information Pursuit for Interactively Guiding Large Language Models Kwan Ho Ryan Chan, Yuyan Ge, Edgar Dobriban, Hamed Hassani, Rene Vidal

NeurIPS 2025 Convergence Rates for Gradient Descent on the Edge of Stability for Overparametrised Least Squares Lachlan Ewen MacDonald, Hancheng Min, Leandro Palma, Salma Tarmoun, Ziqing Xu, Rene Vidal

CVPR 2025 Disentangling Safe and Unsafe Image Corruptions via Anisotropy and Locality Ramchandran Muthukumar, Ambar Pal, Jeremias Sulam, Rene Vidal

ICCV 2025 Frequency-Guided Posterior Sampling for Diffusion-Based Image Restoration Darshan Thaker, Abhishek Goyal, Rene Vidal

ICML 2025 Gradient Flow Provably Learns Robust Classifiers for Orthonormal GMMs Hancheng Min, Rene Vidal

ICML 2025 Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-Rank Matrix Recovery Paris Giampouras, Hanqin Cai, Rene Vidal

ICLR 2025 InCoDe: Interpretable Compressed Descriptions for Image Generation Armand Comas, Aditya Chattopadhyay, Feliu Formosa, Changyu Liu, Octavia Camps, Rene Vidal

ICCV 2025 Learning Interpretable Queries for Explainable Image Classification with Information Pursuit Stefan Kolek, Aditya Chattopadhyay, Kwan Ho Ryan Chan, Hector Andrade-Loarca, Gitta Kutyniok, René Vidal

ICLR 2025 LoRanPAC: Low-Rank Random Features and Pre-Trained Models for Bridging Theory and Practice in Continual Learning Liangzu Peng, Juan Elenter, Joshua Agterberg, Alejandro Ribeiro, Rene Vidal

NeurIPS 2025 MotionBind: Multi-Modal Human Motion Alignment for Retrieval, Recognition, and Generation Kaleab A Kinfu, Rene Vidal

NeurIPS 2025 Neural Collapse Under Gradient Flow on Shallow ReLU Networks for Orthogonally Separable Data Hancheng Min, Zhihui Zhu, Rene Vidal

L4DC 2025 Nonconvex Linear System Identification with Minimal State Representation Uday Kiran Reddy Tadipatri, Benjamin D. Haeffele, Joshua Agterberg, Ingvar Ziemann, Rene Vidal

TMLR 2025 Reliable and Responsible Foundation Models Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou, Jindong Gu, Zhaorun Chen, Peng Xia, Tony Lee, Thomas P Zollo, Vikash Sehwag, Jixuan Leng, Jiuhai Chen, Yuxin Wen, Huan Zhang, Zhun Deng, Linjun Zhang, Pavel Izmailov, Pang Wei Koh, Yulia Tsvetkov, Andrew Gordon Wilson, Jiaheng Zhang, James Zou, Cihang Xie, Hao Wang, Philip Torr, Julian McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, Rene Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao

NeurIPS 2025 SECA: Semantically Equivalent and Coherent Attacks for Eliciting LLM Hallucinations Buyun Liang, Liangzu Peng, Jinqi Luo, Darshan Thaker, Kwan Ho Ryan Chan, Rene Vidal

AISTATS 2025 Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization Ziqing Xu, Hancheng Min, Lachlan Ewen MacDonald, Jinqi Luo, Salma Tarmoun, Enrique Mallada, Rene Vidal

ICCV 2025 Voyaging into Perpetual Dynamic Scenes from a Single View Fengrui Tian, Tianjiao Ding, Jinqi Luo, Hancheng Min, Rene Vidal

ICLR 2024 Bootstrapping Variational Information Pursuit with Large Language and Vision Models for Interpretable Image Classification Aditya Chattopadhyay, Kwan Ho Ryan Chan, Rene Vidal

ICML 2024 Can Implicit Bias Imply Adversarial Robustness? Hancheng Min, Rene Vidal

TMLR 2024 Certified Robustness Against Sparse Adversarial Perturbations via Data Localization Ambar Pal, Rene Vidal, Jeremias Sulam

ECCVW 2024 Contextual Knowledge Pursuit for Faithful Visual Synthesis Jinqi Luo, Kwan Ho Ryan Chan, Dimitris Dimos, René Vidal

ICLR 2024 Early Neuron Alignment in Two-Layer ReLU Networks with Small Initialization Hancheng Min, Enrique Mallada, Rene Vidal

NeurIPS 2024 Geometric Analysis of Nonlinear Manifold Clustering Nimita Shinde, Tianjiao Ding, Daniel P. Robinson, René Vidal

CPAL 2024 HARD: Hyperplane ARrangement Descent Tianjiao Ding, Liangzu Peng, Rene Vidal

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

NeurIPS 2024 PaCE: Parsimonious Concept Engineering for Large Language Models Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan, Darshan Thaker, Aditya Chattopadhyay, Chris Callison-Burch, René Vidal

ICML 2024 Performance Bounds for Active Binary Testing with Information Maximization Aditya Chattopadhyay, Benjamin David Haeffele, Rene Vidal, Donald Geman

CVPR 2024 Scalable 3D Registration via Truncated Entry-Wise Absolute Residuals Tianyu Huang, Liangzu Peng, Rene Vidal, Yun-Hui Liu

WACV 2024 Semantic-Aware Video Representation for Few-Shot Action Recognition Yutao Tang, Benjamín Béjar, René Vidal

AISTATS 2024 Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities Konstantinos Emmanouilidis, Rene Vidal, Nicolas Loizou

NeurIPS 2023 Adversarial Examples Might Be Avoidable: The Role of Data Concentration in Adversarial Robustness Ambar Pal, Jeremias Sulam, Rene Vidal

ICCVW 2023 Clustering-Based Domain-Incremental Learning Christiaan Lamers, René Vidal, Nabil Belbachir, Niki van Stein, Thomas Bäck, Paris Giampouras

NeurIPS 2023 Information Maximization Perspective of Orthogonal Matching Pursuit with Applications to Explainable AI Aditya Chattopadhyay, Ryan Pilgrim, Rene Vidal

ICML 2023 Learning Globally Smooth Functions on Manifolds Juan Cervino, Luiz F. O. Chamon, Benjamin David Haeffele, Rene Vidal, Alejandro Ribeiro

WACV 2023 Learning Graph Variational Autoencoders with Constraints and Structured Priors for Conditional Indoor 3D Scene Generation Aditya Chattopadhyay, Xi Zhang, David Paul Wipf, Himanshu Arora, René Vidal

AISTATS 2023 Linear Convergence of Gradient Descent for Finite Width Over-Parametrized Linear Networks with General Initialization Ziqing Xu, Hancheng Min, Salma Tarmoun, Enrique Mallada, Rene Vidal

ICML 2023 On the Convergence of Gradient Flow on Multi-Layer Linear Models Hancheng Min, Rene Vidal, Enrique Mallada

CVPR 2023 On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation Liangzu Peng, Christian Kümmerle, René Vidal

ICCVW 2023 ProVLA: Compositional Image Search with Progressive Vision-Language Alignment and Multimodal Fusion Zhizhang Hu, Xinliang Zhu, Son Tran, René Vidal, Arnab Dhua

ICML 2023 The Ideal Continual Learner: An Agent That Never Forgets Liangzu Peng, Paris Giampouras, Rene Vidal

ICLR 2023 Variational Information Pursuit for Interpretable Predictions Aditya Chattopadhyay, Kwan Ho Ryan Chan, Benjamin David Haeffele, Donald Geman, Rene Vidal

CVPR 2022 ARCS: Accurate Rotation and Correspondence Search Liangzu Peng, Manolis C. Tsakiris, René Vidal

CVPRW 2022 Analysis and Extensions of Adversarial Training for Video Classification Kaleab Alemayehu Kinfu, René Vidal

NeurIPS 2022 Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression Liangzu Peng, Christian Kümmerle, Rene Vidal

ICLR 2022 Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension Paris Giampouras, Benjamin David Haeffele, Rene Vidal

ICML 2022 Reverse Engineering $\ell_p$ Attacks: A Block-Sparse Optimization Approach with Recovery Guarantees Darshan Thaker, Paris Giampouras, Rene Vidal

ECCV 2022 Semidefinite Relaxations of Truncated Least-Squares in Robust Rotation Search: Tight or Not Liangzu Peng, Mahyar Fazlyab, René Vidal

ICML 2022 Understanding Doubly Stochastic Clustering Tianjiao Ding, Derek Lim, Rene Vidal, Benjamin D Haeffele

CVPR 2022 Weakly-Supervised Generation and Grounding of Visual Descriptions with Conditional Generative Models Effrosyni Mavroudi, René Vidal

AISTATS 2021 Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms Tianyu Ding, Zhihui Zhu, Manolis Tsakiris, Rene Vidal, Daniel Robinson

ICLR 2021 A Critique of Self-Expressive Deep Subspace Clustering Benjamin David Haeffele, Chong You, Rene Vidal

ICML 2021 A Nullspace Property for Subspace-Preserving Recovery Mustafa D Kaba, Chong You, Daniel P Robinson, Enrique Mallada, Rene Vidal

ICML 2021 Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach Tianyu Ding, Zhihui Zhu, Rene Vidal, Daniel P Robinson

CVPR 2021 Learning a Self-Expressive Network for Subspace Clustering Shangzhi Zhang, Chong You, Rene Vidal, Chun-Guang Li

ICML 2021 On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks Hancheng Min, Salma Tarmoun, Rene Vidal, Enrique Mallada

ICML 2021 Understanding the Dynamics of Gradient Flow in Overparameterized Linear Models Salma Tarmoun, Guilherme Franca, Benjamin D Haeffele, Rene Vidal

NeurIPS 2020 A Game Theoretic Analysis of Additive Adversarial Attacks and Defenses Ambar Pal, Rene Vidal

NeurIPS 2020 A Novel Variational Form of the Schatten-$p$ Quasi-Norm Paris Giampouras, Rene Vidal, Athanasios Rontogiannis, Benjamin Haeffele

NeurIPS 2020 Conformal Symplectic and Relativistic Optimization Guilherme Franca, Jeremias Sulam, Daniel Robinson, Rene Vidal

ECCV 2020 Representation Learning on Visual-Symbolic Graphs for Video Understanding Effrosyni Mavroudi, Benjamín Béjar Haro, René Vidal

NeurIPS 2019 A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning Zhihui Zhu, Tianyu Ding, Daniel Robinson, Manolis Tsakiris, René Vidal

ICCVW 2019 Adaptive Online K-Subspaces with Cooperative Re-Initialization Connor Lane, Benjamin D. Haeffele, René Vidal

ICCVW 2019 Classifying and Comparing Approaches to Subspace Clustering with Missing Data Connor Lane, Ron Boger, Chong You, Manolis C. Tsakiris, Benjamin D. Haeffele, René Vidal

ICML 2019 Noisy Dual Principal Component Pursuit Tianyu Ding, Zhihui Zhu, Tianjiao Ding, Yunchen Yang, Rene Vidal, Manolis Tsakiris, Daniel Robinson

ICML 2018 ADMM and Accelerated ADMM as Continuous Dynamical Systems Guilherme Franca, Daniel Robinson, Rene Vidal

ECCVW 2018 Convolutional Networks for Object Category and 3D Pose Estimation from 2D Images Siddharth Mahendran, Haider Ali, René Vidal

AISTATS 2018 Dropout as a Low-Rank Regularizer for Matrix Factorization Jacopo Cavazza, Pietro Morerio, Benjamin D. Haeffele, Connor Lane, Vittorio Murino, René Vidal

JMLR 2018 Dual Principal Component Pursuit Manolis C. Tsakiris, René Vidal

NeurIPS 2018 Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms Zhihui Zhu, Yifan Wang, Daniel Robinson, Daniel Naiman, René Vidal, Manolis Tsakiris

WACV 2018 End-to-End Fine-Grained Action Segmentation and Recognition Using Conditional Random Field Models and Discriminative Sparse Coding Effrosyni Mavroudi, Divya Bhaskara, Shahin Sefati, Haider Ali, René Vidal

ICML 2018 On the Implicit Bias of Dropout Poorya Mianjy, Raman Arora, Rene Vidal

ECCV 2018 Scalable Exemplar-Based Subspace Clustering on Class-Imbalanced Data Chong You, Chi Li, Daniel P. Robinson, Rene Vidal

ICML 2018 Theoretical Analysis of Sparse Subspace Clustering with Missing Entries Manolis Tsakiris, Rene Vidal

CVPRW 2017 3D Pose Regression Using Convolutional Neural Networks Siddharth Mahendran, Haider Ali, René Vidal

ICCVW 2017 3D Pose Regression Using Convolutional Neural Networks Siddharth Mahendran, Haider Ali, René Vidal

ICCV 2017 Curriculum Dropout Pietro Morerio, Jacopo Cavazza, Riccardo Volpi, Rene Vidal, Vittorio Murino

WACV 2017 Deep Moving Poselets for Video Based Action Recognition Effrosyni Mavroudi, Lingling Tao, René Vidal

CVPR 2017 Global Optimality in Neural Network Training Benjamin D. Haeffele, Rene Vidal

ICML 2017 Hyperplane Clustering via Dual Principal Component Pursuit Manolis C. Tsakiris, René Vidal

CVPR 2017 Provable Self-Representation Based Outlier Detection in a Union of Subspaces Chong You, Daniel P. Robinson, Rene Vidal

CVPR 2017 Temporal Convolutional Networks for Action Segmentation and Detection Colin Lea, Michael D. Flynn, Rene Vidal, Austin Reiter, Gregory D. Hager

CVPR 2016 Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering Chong You, Chun-Guang Li, Daniel P. Robinson, Rene Vidal

CVPR 2016 Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit Chong You, Daniel Robinson, Rene Vidal

ECCV 2016 Segmental Spatiotemporal CNNs for Fine-Grained Action Segmentation Colin Lea, Austin Reiter, René Vidal, Gregory D. Hager

ECCV 2016 Temporal Convolutional Networks: A Unified Approach to Action Segmentation Colin Lea, René Vidal, Austin Reiter, Gregory D. Hager

ECCVW 2016 Temporal Convolutional Networks: A Unified Approach to Action Segmentation Colin Lea, René Vidal, Austin Reiter, Gregory D. Hager

WACV 2015 An Improved Model for Segmentation and Recognition of Fine-Grained Activities with Application to Surgical Training Tasks Colin Lea, Gregory D. Hager, René Vidal

ICCVW 2015 Dual Principal Component Pursuit Manolis C. Tsakiris, René Vidal

ICCVW 2015 Filtrated Spectral Algebraic Subspace Clustering Manolis C. Tsakiris, René Vidal

ICML 2015 Geometric Conditions for Subspace-Sparse Recovery Chong You, Rene Vidal

ICCVW 2015 Moving Poselets: A Discriminative and Interpretable Skeletal Motion Representation for Action Recognition Lingling Tao, René Vidal

ICML 2015 Sparse Subspace Clustering with Missing Entries Congyuan Yang, Daniel Robinson, Rene Vidal

CVPR 2015 Structured Sparse Subspace Clustering: A Unified Optimization Framework Chun-Guang Li, Rene Vidal

ECCV 2014 Sparse Dictionaries for Semantic Segmentation Lingling Tao, Fatih Porikli, René Vidal

ICML 2014 Structured Low-Rank Matrix Factorization: Optimality, Algorithm, and Applications to Image Processing Benjamin Haeffele, Eric Young, Rene Vidal

WACV 2013 Berkeley MHAD: A Comprehensive Multimodal Human Action Database Ferda Ofli, Rizwan Chaudhry, Gregorij Kurillo, René Vidal, Ruzena Bajcsy

CVPRW 2013 Bio-Inspired Dynamic 3D Discriminative Skeletal Features for Human Action Recognition Rizwan Chaudhry, Ferda Ofli, Gregorij Kurillo, Ruzena Bajcsy, René Vidal

ICCV 2013 Coarse-to-Fine Semantic Video Segmentation Using Supervoxel Trees Aastha Jain, Shuanak Chatterjee, Rene Vidal

ICCVW 2013 Efficient Object Localization and Pose Estimation with 3D Wireframe Models Erdem Yörük, René Vidal

ICCV 2013 Hierarchical Joint Max-Margin Learning of Mid and Top Level Representations for Visual Recognition Hans Lobel, Rene Vidal, Alvaro Soto

ICCV 2013 Latent Space Sparse Subspace Clustering Vishal M. Patel, Hien Van Nguyen, Rene Vidal

NeurIPS 2012 Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery Ehsan Elhamifar, Guillermo Sapiro, René Vidal

CVPR 2012 Group Action Induced Distances for Averaging and Clustering Linear Dynamical Systems with Applications to the Analysis of Dynamic Scenes Bijan Afsari, Rizwan Chaudhry, Avinash Ravichandran, René Vidal

CVPR 2012 See All by Looking at a Few: Sparse Modeling for Finding Representative Objects Ehsan Elhamifar, Guillermo Sapiro, René Vidal

CVPRW 2012 Sequence of the Most Informative Joints (SMIJ): A New Representation for Human Skeletal Action Recognition Ferda Ofli, Rizwan Chaudhry, Gregorij Kurillo, René Vidal, Ruzena Bajcsy

ECCV 2012 Visual Dictionary Learning for Joint Object Categorization and Segmentation Aastha Jain, Luca Zappella, Patrick McClure, René Vidal

CVPR 2011 A Closed Form Solution to Robust Subspace Estimation and Clustering Paolo Favaro, René Vidal, Avinash Ravichandran

CVPR 2011 Distributed Computer Vision Algorithms Through Distributed Averaging Roberto Tron, René Vidal

CVPR 2011 Robust Classification Using Structured Sparse Representation Ehsan Elhamifar, René Vidal

NeurIPS 2011 Sparse Manifold Clustering and Embedding Ehsan Elhamifar, René Vidal

CVPR 2011 Using Global Bag of Features Models in Random Fields for Joint Categorization and Segmentation of Objects Dheeraj Singaraju, René Vidal

CVPR 2009 A Nonparametric Riemannian Framework for Processing High Angular Resolution Diffusion Images (HARDI) Alvina Goh, Christophe Lenglet, Paul M. Thompson, René Vidal

CVPR 2009 Histograms of Oriented Optical Flow and Binet-Cauchy Kernels on Nonlinear Dynamical Systems for the Recognition of Human Actions Rizwan Chaudhry, Avinash Ravichandran, Gregory D. Hager, René Vidal

CVPR 2009 Intrinsic Mean Shift for Clustering on Stiefel and Grassmann Manifolds Hasan Ertan Çetingül, René Vidal

CVPR 2009 P-Brush: Continuous Valued MRFs with Normed Pairwise Distributions for Image Segmentation Dheeraj Singaraju, Leo J. Grady, René Vidal

CVPR 2009 Sparse Subspace Clustering Ehsan Elhamifar, René Vidal

CVPR 2009 View-Invariant Dynamic Texture Recognition Using a Bag of Dynamical Systems Avinash Ravichandran, Rizwan Chaudhry, René Vidal

CVPR 2008 Clustering and Dimensionality Reduction on Riemannian Manifolds Alvina Goh, René Vidal

CVPR 2008 Interactive Image Matting for Multiple Layers Dheeraj Singaraju, René Vidal

CVPR 2008 Interactive Image Segmentation via Minimization of Quadratic Energies on Directed Graphs Dheeraj Singaraju, Leo J. Grady, René Vidal

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

ECCV 2008 Perspective Nonrigid Shape and Motion Recovery Richard I. Hartley, René Vidal

ECCV 2008 Segmenting Fiber Bundles in Diffusion Tensor Images Alvina Goh, René Vidal

ECML-PKDD 2008 Unsupervised Riemannian Clustering of Probability Density Functions Alvina Goh, René Vidal

ECCV 2008 Video Registration Using Dynamic Textures Avinash Ravichandran, René Vidal

CVPR 2007 A Benchmark for the Comparison of 3-D Motion Segmentation Algorithms Roberto Tron, René Vidal

ICCV 2007 DynamicBoost: Boosting Time Series Generated by Dynamical Systems René Vidal, Paolo Favaro

CVPR 2007 Projective Factorization of Multiple Rigid-Body Motions Ting Li, Vinutha Kallem, Dheeraj Singaraju, René Vidal

CVPR 2007 Segmenting Motions of Different Types by Unsupervised Manifold Clustering Alvina Goh, René Vidal

ECCV 2006 Algebraic Methods for Direct and Feature Based Registration of Diffusion Tensor Images Alvina Goh, René Vidal

ICML 2006 Combined Central and Subspace Clustering for Computer Vision Applications Le Lu, René Vidal

ECCV 2006 Direct Segmentation of Multiple 2-D Motion Models of Different Types Dheeraj Singaraju, René Vidal

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

ECCV 2006 Nonrigid Shape and Motion from Multiple Perspective Views René Vidal, Daniel Abretske

NeurIPS 2006 Online Clustering of Moving Hyperplanes René Vidal

ECCV 2006 Segmenting Dynamic Textures with Ising Descriptors, ARX Models and Level Sets Atiyeh Ghoreyshi, René Vidal

ECCV 2006 The Space of Multibody Fundamental Matrices: Rank, Geometry and Projection Xiaodong Fan, René Vidal

CVPR 2005 A Closed Form Solution to Direct Motion Segmentation René Vidal, Dheeraj Singaraju

CVPR 2005 Optical Flow Estimation and Segmentation of Multiple Moving Dynamic Textures René Vidal, Avinash Ravichandran

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

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

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

CVPR 2004 Motion Segmentation with Missing Data Using PowerFactorization and GPCA René Vidal, Richard I. Hartley

CVPR 2004 The Multibody Trifocal Tensor: Motion Segmentation from 3 Perspective Views Richard I. Hartley, René Vidal

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

CVPRW 2003 Omnidirectional Egomotion Estimation from Back-Projection Flow Omid Shakernia, René Vidal, Shankar Sastry

CVPR 2003 Optimal Segmentation of Dynamic Scenes from Two Perspective Views René Vidal, Shankar Sastry

CVPRW 2003 Structure from Small Baseline Motion with Central Panoramic Cameras Omid Shakernia, René Vidal, Shankar Sastry

ECCV 2002 Structure from Planar Motions with Small Baselines René Vidal, John Oliensis

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

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