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ORCIDRené Vidal
Person information
- affiliation: The Johns Hopkins University, Department of Biomedical Engineering
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Books and Theses
- 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
Journal Articles
- 2023
- [j63]Aditya Chattopadhyay
, Stewart Slocum, Benjamin D. Haeffele, René Vidal, Donald Geman:
Interpretable by Design: Learning Predictors by Composing Interpretable Queries. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7430-7443 (2023) - [j62]Guilherme França, Daniel P. Robinson, René Vidal:
A Nonsmooth Dynamical Systems Perspective on Accelerated Extensions of ADMM. IEEE Trans. Autom. Control. 68(5): 2966-2978 (2023) - [j61]Gregory N. McKay, Anisha Oommen, Carolina Pacheco, Mason T. Chen, Stuart C. Ray, René Vidal, Benjamin D. Haeffele, Nicholas J. Durr:
Lens Free Holographic Imaging for Urinary Tract Infection Screening. IEEE Trans. Biomed. Eng. 70(3): 1053-1061 (2023) - 2022
- [j60]Danny Weyns, Thomas Bäck, René Vidal, Xin Yao, Ahmed Nabil Belbachir:
The vision of self-evolving computing systems. J. Integr. Des. Process. Sci. 26(3-4): 351-367 (2022) - [j59]Chong You, Chi Li, Daniel P. Robinson, René Vidal:
Self-Representation Based Unsupervised Exemplar Selection in a Union of Subspaces. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2698-2711 (2022) - [j58]Benjamín Béjar Haro, Ivan Dokmanic, René Vidal:
The Fastest $\ell _{1, \infty }$ℓ1, ∞ Prox in the West. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3858-3869 (2022) - 2021
- [j57]Mustafa Devrim Kaba, Mengnan Zhao, René Vidal, Daniel P. Robinson, Enrique Mallada:
What is the Largest Sparsity Pattern That Can Be Recovered by 1-Norm Minimization? IEEE Trans. Inf. Theory 67(5): 3060-3074 (2021) - 2020
- [j56]Hans Lobel, René Vidal, Alvaro Soto:
CompactNets: Compact Hierarchical Compositional Networks for Visual Recognition. Comput. Vis. Image Underst. 191: 102841 (2020) - [j55]Joan Bruna, Eldad Haber, Gitta Kutyniok, Thomas Pock, René Vidal:
Special Issue on the Mathematical Foundations of Deep Learning in Imaging Science. J. Math. Imaging Vis. 62(3): 277-278 (2020) - [j54]Benjamin D. Haeffele, René Vidal:
Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 42(6): 1468-1482 (2020) - [j53]Xiao Li, Zhihui Zhu, Anthony Man-Cho So, René Vidal:
Nonconvex Robust Low-Rank Matrix Recovery. SIAM J. Optim. 30(1): 660-686 (2020) - 2019
- [j52]Evan Schwab, Benjamin D. Haeffele, René Vidal, Nicolas Charon:
Global Optimality in Separable Dictionary Learning with Applications to the Analysis of Diffusion MRI. SIAM J. Imaging Sci. 12(4): 1967-2008 (2019) - 2018
- [j51]Hao Jiang, Daniel P. Robinson, René Vidal, Chong You:
A nonconvex formulation for low rank subspace clustering: algorithms and convergence analysis. Comput. Optim. Appl. 70(2): 395-418 (2018) - [j50]Manolis C. Tsakiris, René Vidal:
Dual Principal Component Pursuit. J. Mach. Learn. Res. 19: 18:1-18:50 (2018) - [j49]Thierry Bouwmans, Namrata Vaswani, Paul Rodríguez, René Vidal, Zhouchen Lin:
Introduction to the Issue on Robust Subspace Learning and Tracking: Theory, Algorithms, and Applications. IEEE J. Sel. Top. Signal Process. 12(6): 1127-1130 (2018) - [j48]Chun-Guang Li, Chong You, René Vidal:
On Geometric Analysis of Affine Sparse Subspace Clustering. IEEE J. Sel. Top. Signal Process. 12(6): 1520-1533 (2018) - [j47]Evan Schwab, René Vidal, Nicolas Charon:
Joint spatial-angular sparse coding for dMRI with separable dictionaries. Medical Image Anal. 48: 25-42 (2018) - [j46]Manolis C. Tsakiris, René Vidal:
Algebraic Clustering of Affine Subspaces. IEEE Trans. Pattern Anal. Mach. Intell. 40(2): 482-489 (2018) - [j45]Mihály Petreczky, René Vidal:
Realization Theory for a Class of Stochastic Bilinear Systems. IEEE Trans. Autom. Control. 63(1): 69-84 (2018) - 2017
- [j44]Katsushi Ikeuchi, Christoph Schnörr, Josef Sivic, René Vidal:
Guest Editorial: Best Papers from ICCV 2015. Int. J. Comput. Vis. 125(1-3): 1-2 (2017) - [j43]Manolis C. Tsakiris, René Vidal:
Filtrated Algebraic Subspace Clustering. SIAM J. Imaging Sci. 10(1): 372-415 (2017) - [j42]Bijan Afsari, René Vidal:
Bundle Reduction and the Alignment Distance on Spaces of State-Space LTI Systems. IEEE Trans. Autom. Control. 62(8): 3804-3819 (2017) - [j41]Narges Ahmidi, Lingling Tao, Shahin Sefati, Yixin Gao, Colin Lea, Benjamín Béjar Haro, Luca Zappella, Sanjeev Khudanpur, René Vidal, Gregory D. Hager:
A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery. IEEE Trans. Biomed. Eng. 64(9): 2025-2041 (2017) - [j40]Chun-Guang Li, Chong You, René Vidal:
Structured Sparse Subspace Clustering: A Joint Affinity Learning and Subspace Clustering Framework. IEEE Trans. Image Process. 26(6): 2988-3001 (2017) - 2016
- [j39]Ronen Basri, Cornelia Fermüller, Aleix M. Martínez, René Vidal:
Guest Editorial: Special Section on CVPR 2014. IEEE Trans. Pattern Anal. Mach. Intell. 38(7): 1281-1282 (2016) - [j38]Chun-Guang Li, René Vidal:
A Structured Sparse Plus Structured Low-Rank Framework for Subspace Clustering and Completion. IEEE Trans. Signal Process. 64(24): 6557-6570 (2016) - 2015
- [j37]Vishal M. Patel, Hien Van Nguyen, René Vidal:
Latent Space Sparse and Low-Rank Subspace Clustering. IEEE J. Sel. Top. Signal Process. 9(4): 691-701 (2015) - [j36]Hans Lobel, René Vidal, Alvaro Soto:
Learning Shared, Discriminative, and Compact Representations for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 37(11): 2218-2231 (2015) - 2014
- [j35]Ferda Ofli, Rizwan Chaudhry, Gregorij Kurillo, René Vidal, Ruzena Bajcsy:
Sequence of the most informative joints (SMIJ): A new representation for human skeletal action recognition. J. Vis. Commun. Image Represent. 25(1): 24-38 (2014) - [j34]René Vidal, Paolo Favaro:
Low rank subspace clustering (LRSC). Pattern Recognit. Lett. 43: 47-61 (2014) - [j33]Roberto Tron, René Vidal:
Distributed 3-D Localization of Camera Sensor Networks From 2-D Image Measurements. IEEE Trans. Autom. Control. 59(12): 3325-3340 (2014) - [j32]Giann Gorospe, Renjun Zhu, Michal A. Millrod, Elias T. Zambidis, Leslie Tung, René Vidal:
Automated Grouping of Action Potentials of Human Embryonic Stem Cell-Derived Cardiomyocytes. IEEE Trans. Biomed. Eng. 61(9): 2389-2395 (2014) - [j31]Hasan Ertan Çetingül, Margaret J. Wright, Paul M. Thompson, René Vidal:
Segmentation of High Angular Resolution Diffusion MRI Using Sparse Riemannian Manifold Clustering. IEEE Trans. Medical Imaging 33(2): 301-317 (2014) - 2013
- [j30]Rizwan Chaudhry, Gregory D. Hager, René Vidal:
Dynamic Template Tracking and Recognition. Int. J. Comput. Vis. 105(1): 19-48 (2013) - [j29]Luca Zappella, Benjamín Béjar Haro, Gregory D. Hager, René Vidal:
Surgical gesture classification from video and kinematic data. Medical Image Anal. 17(7): 732-745 (2013) - [j28]Avinash Ravichandran, Rizwan Chaudhry, René Vidal:
Categorizing Dynamic Textures Using a Bag of Dynamical Systems. IEEE Trans. Pattern Anal. Mach. Intell. 35(2): 342-353 (2013) - [j27]Ehsan Elhamifar, René Vidal:
Sparse Subspace Clustering: Algorithm, Theory, and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 35(11): 2765-2781 (2013) - [j26]Bijan Afsari, Roberto Tron, René Vidal:
On the Convergence of Gradient Descent for Finding the Riemannian Center of Mass. SIAM J. Control. Optim. 51(3): 2230-2260 (2013) - [j25]Romain Robbes, René Vidal, María Cecilia Bastarrica:
Are Software Analytics Efforts Worthwhile for Small Companies? The Case of Amisoft. IEEE Softw. 30(5): 46-53 (2013) - [j24]Roberto Tron, Bijan Afsari, René Vidal:
Riemannian Consensus for Manifolds With Bounded Curvature. IEEE Trans. Autom. Control. 58(4): 921-934 (2013) - 2012
- [j23]Ehsan Elhamifar, René Vidal:
Block-Sparse Recovery via Convex Optimization. IEEE Trans. Signal Process. 60(8): 4094-4107 (2012) - 2011
- [j22]Fabien Lauer, Gérard Bloch, René Vidal:
A continuous optimization framework for hybrid system identification. Autom. 47(3): 608-613 (2011) - [j21]Alvina Goh, Christophe Lenglet, Paul M. Thompson, René Vidal:
A nonparametric Riemannian framework for processing high angular resolution diffusion images and its applications to ODF-based morphometry. NeuroImage 56(3): 1181-1201 (2011) - [j20]Avinash Ravichandran, René Vidal:
Video Registration Using Dynamic Textures. IEEE Trans. Pattern Anal. Mach. Intell. 33(1): 158-171 (2011) - [j19]Dheeraj Singaraju, René Vidal:
Estimation of Alpha Mattes for Multiple Image Layers. IEEE Trans. Pattern Anal. Mach. Intell. 33(7): 1295-1309 (2011) - [j18]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) - [j17]René Vidal:
Subspace Clustering. IEEE Signal Process. Mag. 28(2): 52-68 (2011) - [j16]Roberto Tron, René Vidal:
Distributed Computer Vision Algorithms. IEEE Signal Process. Mag. 28(3): 32-45 (2011) - [j15]Hasan Ertan Çetingül, Gernot Plank, Natalia A. Trayanova, René Vidal:
Estimation of Local Orientations in Fibrous Structures With Applications to the Purkinje System. IEEE Trans. Biomed. Eng. 58(6): 1762-1772 (2011) - 2010
- [j14]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) - 2008
- [j13]René Vidal:
Recursive identification of switched ARX systems. Autom. 44(9): 2274-2287 (2008) - [j12]René Vidal, Roberto Tron, Richard I. Hartley:
Multiframe Motion Segmentation with Missing Data Using PowerFactorization and GPCA. Int. J. Comput. Vis. 79(1): 85-105 (2008) - [j11]René Vidal, Richard I. Hartley:
Three-View Multibody Structure from Motion. IEEE Trans. Pattern Anal. Mach. Intell. 30(2): 214-227 (2008) - 2007
- [j10]Simone Paoletti, Aleksandar Lj. Juloski, Giancarlo Ferrari-Trecate, René Vidal:
Identification of Hybrid Systems: A Tutorial. Eur. J. Control 13(2-3): 242-260 (2007) - [j9]S. V. N. Vishwanathan, Alexander J. Smola, René Vidal:
Binet-Cauchy Kernels on Dynamical Systems and its Application to the Analysis of Dynamic Scenes. Int. J. Comput. Vis. 73(1): 95-119 (2007) - 2006
- [j8]René Vidal, Yi Ma, Stefano Soatto, Shankar Sastry:
Two-View Multibody Structure from Motion. Int. J. Comput. Vis. 68(1): 7-25 (2006) - [j7]René Vidal, Yi Ma:
A Unified Algebraic Approach to 2-D and 3-D Motion Segmentation and Estimation. J. Math. Imaging Vis. 25(3): 403-421 (2006) - 2005
- [j6]René Vidal, Yi Ma, Shankar Sastry:
Generalized Principal Component Analysis (GPCA). IEEE Trans. Pattern Anal. Mach. Intell. 27(12): 1945-1959 (2005) - 2004
- [j5]Yi Ma, Kun Huang, René Vidal, Jana Kosecka, Shankar Sastry:
Rank Conditions on the Multiple-View Matrix. Int. J. Comput. Vis. 59(2): 115-137 (2004) - [j4]René Vidal, Omid Shakernia, Shankar Sastry:
Following the flock [formation control]. IEEE Robotics Autom. Mag. 11(4): 14-20 (2004) - 2002
- [j3]René Vidal, Omid Shakernia, H. Jin Kim, David Hyunchul Shim, Shankar Sastry:
Probabilistic pursuit-evasion games: theory, implementation, and experimental evaluation. IEEE Trans. Robotics Autom. 18(5): 662-669 (2002) - 2001
- [j2]Yi Ma, René Vidal, Shawn Hsu, Shankar Sastry:
Optimal motion estimation from multiple images by normalized epipolar constraint. Commun. Inf. Syst. 1(1): 51-74 (2001) - [j1]Julio Concha, Aldo Cipriano, René Vidal:
Design of fuzzy controllers based on stability analysis. Fuzzy Sets Syst. 121(1): 25-38 (2001)
Conference and Workshop Papers
- 2024
- [c210]Yutao Tang, Benjamín Béjar, René Vidal:
Semantic-aware Video Representation for Few-shot Action Recognition. WACV 2024: 6444-6454 - 2023
- [c209]Ziqing Xu, Hancheng Min, Salma Tarmoun, Enrique Mallada, René Vidal:
Linear Convergence of Gradient Descent For Finite Width Over-parametrized Linear Networks With General Initialization. AISTATS 2023: 2262-2284 - [c208]Kaleab Alemayehu Kinfu, René Vidal:
Efficient Vision Transformer for Human Pose Estimation via Patch Selection. BMVC 2023: 167-171 - [c207]Kyle Poe, Enrique Mallada, René Vidal:
Necessary and Sufficient Conditions for Simultaneous State and Input Recovery of Linear Systems with Sparse Inputs by ℓ1 -Minimization. CDC 2023: 6499-6506 - [c206]Liangzu Peng, Christian Kümmerle, René Vidal:
On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation. CVPR 2023: 17808-17818 - [c205]Zhizhang Hu, Xinliang Zhu, Son Tran, René Vidal, Arnab Dhua:
ProVLA: Compositional Image Search with Progressive Vision-Language Alignment and Multimodal Fusion. ICCV (Workshops) 2023: 2764-2769 - [c204]Christiaan Lamers, René Vidal, Nabil Belbachir, Niki van Stein, Thomas Bäck, Paris Giampouras:
Clustering-based Domain-Incremental Learning. ICCV (Workshops) 2023: 3376-3384 - [c203]Aditya Chattopadhyay, Kwan Ho Ryan Chan, Benjamin David Haeffele, Donald Geman, René Vidal:
Variational Information Pursuit for Interpretable Predictions. ICLR 2023 - [c202]Juan Cerviño, Luiz F. O. Chamon, Benjamin David Haeffele, René Vidal, Alejandro Ribeiro:
Learning Globally Smooth Functions on Manifolds. ICML 2023: 3815-3854 - [c201]Hancheng Min, René Vidal, Enrique Mallada:
On the Convergence of Gradient Flow on Multi-layer Linear Models. ICML 2023: 24850-24887 - [c200]Liangzu Peng, Paris Giampouras, René Vidal:
The Ideal Continual Learner: An Agent That Never Forgets. ICML 2023: 27585-27610 - [c199]Aditya Chattopadhyay, Ryan Pilgrim, René Vidal:
Information Maximization Perspective of Orthogonal Matching Pursuit with Applications to Explainable AI. NeurIPS 2023 - [c198]Ambar Pal, Jeremias Sulam, René Vidal:
Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness. NeurIPS 2023 - [c197]Aditya Chattopadhyay, Xi Zhang, David Paul Wipf, Himanshu Arora, René Vidal:
Learning Graph Variational Autoencoders with Constraints and Structured Priors for Conditional Indoor 3D Scene Generation. WACV 2023: 785-794 - 2022
- [c196]Kaleab Alemayehu Kinfu, René Vidal:
Analysis and Extensions of Adversarial Training for Video Classification. CVPR Workshops 2022: 3415-3424 - [c195]Liangzu Peng, Manolis C. Tsakiris, René Vidal:
ARCS: Accurate Rotation and Correspondence Search. CVPR 2022: 11143-11153 - [c194]Effrosyni Mavroudi, René Vidal:
Weakly-Supervised Generation and Grounding of Visual Descriptions with Conditional Generative Models. CVPR 2022: 15523-15533 - [c193]Liangzu Peng, Mahyar Fazlyab, René Vidal:
Semidefinite Relaxations of Truncated Least-Squares in Robust Rotation Search: Tight or Not. ECCV (23) 2022: 673-691 - [c192]Paris Giampouras, Benjamin David Haeffele, René Vidal:
Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension. ICLR 2022 - [c191]Tianjiao Ding, Derek Lim, René Vidal, Benjamin D. Haeffele:
Understanding Doubly Stochastic Clustering. ICML 2022: 5153-5165 - [c190]Darshan Thaker, Paris Giampouras, René Vidal:
Reverse Engineering ℓp attacks: A block-sparse optimization approach with recovery guarantees. ICML 2022: 21253-21271 - [c189]Yutao Tang, Benjamín Béjar, Joey K.-Y. Essoe, Joseph F. McGuire, René Vidal:
Facial Tic Detection in Untrimmed Videos of Tourette Syndrome Patients. ICPR 2022: 3152-3159 - [c188]René Vidal:
Semantic Information Pursuit. IMPROVE 2022: 9 - [c187]Liangzu Peng, Christian Kümmerle, René Vidal:
Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression. NeurIPS 2022 - [c186]Effrosyni Mavroudi, Prashast Bindal, René Vidal:
Actor-Centric Tubelets for Real-Time Activity Detection in Extended Videos. WACV (Workshops) 2022: 172-181 - 2021
- [c185]Tianyu Ding, Zhihui Zhu, Manolis C. Tsakiris, René Vidal, Daniel P. Robinson:
Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms. AISTATS 2021: 2944-2952 - [c184]Shangzhi Zhang, Chong You, René Vidal, Chun-Guang Li:
Learning a Self-Expressive Network for Subspace Clustering. CVPR 2021: 12393-12403 - [c183]Benjamin David Haeffele, Chong You, René Vidal:
A Critique of Self-Expressive Deep Subspace Clustering. ICLR 2021 - [c182]Tianyu Ding, Zhihui Zhu, René Vidal, Daniel P. Robinson:
Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach. ICML 2021: 2739-2748 - [c181]Mustafa Devrim Kaba, Chong You, Daniel P. Robinson, Enrique Mallada, René Vidal:
A Nullspace Property for Subspace-Preserving Recovery. ICML 2021: 5180-5188 - [c180]Hancheng Min, Salma Tarmoun, René Vidal, Enrique Mallada:
On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks. ICML 2021: 7760-7768 - [c179]Salma Tarmoun, Guilherme França, Benjamin D. Haeffele, René Vidal:
Understanding the Dynamics of Gradient Flow in Overparameterized Linear models. ICML 2021: 10153-10161 - 2020
- [c178]Tianjiao Ding, Yunchen Yang, Zhihui Zhu, Daniel P. Robinson, René Vidal, Laurent Kneip, Manolis C. Tsakiris:
Robust Homography Estimation via Dual Principal Component Pursuit. CVPR 2020: 6079-6088 - [c177]Ambar Pal, Connor Lane, René Vidal, Benjamin D. Haeffele:
On the Regularization Properties of Structured Dropout. CVPR 2020: 7668-7676 - [c176]Effrosyni Mavroudi, Benjamín Béjar Haro, René Vidal:
Representation Learning on Visual-Symbolic Graphs for Video Understanding. ECCV (29) 2020: 71-90 - [c175]Carolina Pacheco, Effrosyni Mavroudi, Elena Kokkoni, Herbert G. Tanner, René Vidal:
A Detection-based Approach to Multiview Action Classification in Infants. ICPR 2020: 6112-6119 - [c174]Guilherme França, Jeremias Sulam, Daniel P. Robinson, René Vidal:
Conformal Symplectic and Relativistic Optimization. NeurIPS 2020 - [c173]Paris Giampouras, René Vidal, Athanasios A. Rontogiannis, Benjamin D. Haeffele:
A novel variational form of the Schatten-$p$ quasi-norm. NeurIPS 2020 - [c172]Ambar Pal, René Vidal:
A Game Theoretic Analysis of Additive Adversarial Attacks and Defenses. NeurIPS 2020 - 2019
- [c171]Chong You, Chun-Guang Li, Daniel P. Robinson, René Vidal:
Is an Affine Constraint Needed for Affine Subspace Clustering? ICCV 2019: 9914-9923 - [c170]Connor Lane, Ron Boger, Chong You, Manolis C. Tsakiris, Benjamin D. Haeffele, René Vidal:
Classifying and Comparing Approaches to Subspace Clustering with Missing Data. ICCV Workshops 2019: 669-677 - [c169]Connor Lane, Benjamin D. Haeffele, René Vidal:
Adaptive Online k-Subspaces with Cooperative Re-Initialization. ICCV Workshops 2019: 678-688 - [c168]Tianyu Ding, Zhihui Zhu, Tianjiao Ding, Yunchen Yang, Daniel P. Robinson, Manolis C. Tsakiris, René Vidal:
Noisy Dual Principal Component Pursuit. ICML 2019: 1617-1625 - [c167]Benjamin D. Haeffele, Christian Pick, Ziduo Lin, Evelien Mathieu, Stuart C. Ray, René Vidal:
An Optical Model of Whole Blood for Detecting Platelets in Lens-Free Images. SASHIMI@MICCAI 2019: 140-150 - [c166]Florence Yellin, Benjamín Béjar Haro, Benjamin D. Haeffele, Evelien Mathieu, Christian Pick, Stuart C. Ray, René Vidal:
Joint Holographic Detection and Reconstruction. MLMI@MICCAI 2019: 664-672 - [c165]Carolina Pacheco, René Vidal:
An Unsupervised Domain Adaptation Approach to Classification of Stem Cell-Derived Cardiomyocytes. MICCAI (1) 2019: 806-814 - [c164]Zhihui Zhu, Tianyu Ding, Daniel P. Robinson, Manolis C. Tsakiris, René Vidal:
A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning. NeurIPS 2019: 9437-9447 - 2018
- [c163]Jacopo Cavazza, Pietro Morerio, Benjamin D. Haeffele, Connor Lane, Vittorio Murino, René Vidal:
Dropout as a Low-Rank Regularizer for Matrix Factorization. AISTATS 2018: 435-444 - [c162]Siddharth Mahendran, Haider Ali, René Vidal:
A Mixed Classification-Regression Framework for 3D Pose Estimation from 2D Images. BMVC 2018: 72 - [c161]Mengnan Zhao, M. Devrim Kaba, René Vidal, Daniel P. Robinson, Enrique Mallada:
Sparse Recovery over Graph Incidence Matrices. CDC 2018: 364-371 - [c160]Florence Yellin, Benjamin D. Haeffele, Sophie Roth, René Vidal:
Multi-Cell Detection and Classification Using a Generative Convolutional Model. CVPR 2018: 8953-8961 - [c159]Chong You, Chi Li, Daniel P. Robinson, René Vidal:
A Scalable Exemplar-Based Subspace Clustering Algorithm for Class-Imbalanced Data. ECCV (9) 2018: 68-85 - [c158]Siddharth Mahendran, Haider Ali, René Vidal:
Convolutional Networks for Object Category and 3D Pose Estimation from 2D Images. ECCV Workshops (1) 2018: 698-715 - [c157]Guilherme França, Daniel P. Robinson, René Vidal:
ADMM and Accelerated ADMM as Continuous Dynamical Systems. ICML 2018: 1554-1562 - [c156]Poorya Mianjy, Raman Arora, René Vidal:
On the Implicit Bias of Dropout. ICML 2018: 3537-3545 - [c155]Manolis C. Tsakiris, René Vidal:
Theoretical Analysis of Sparse Subspace Clustering with Missing Entries. ICML 2018: 4982-4991 - [c154]Carolina Pacheco, René Vidal:
Recurrent Neural Networks for Classifying Human Embryonic Stem Cell-Derived Cardiomyocytes. MICCAI (1) 2018: 581-589 - [c153]Zhihui Zhu, Yifan Wang, Daniel P. Robinson, Daniel Q. Naiman, René Vidal, Manolis C. Tsakiris:
Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms. NeurIPS 2018: 2175-2185 - [c152]Effrosyni Mavroudi, Divya Bhaskara, Shahin Sefati, Haider Ali, René Vidal:
End-to-End Fine-Grained Action Segmentation and Recognition Using Conditional Random Field Models and Discriminative Sparse Coding. WACV 2018: 1558-1567 - 2017
- [c151]Siddharth Mahendran, Haider Ali, René Vidal:
3D Pose Regression Using Convolutional Neural Networks. CVPR Workshops 2017: 494-495 - [c150]Colin Lea, Michael D. Flynn, René Vidal, Austin Reiter, Gregory D. Hager:
Temporal Convolutional Networks for Action Segmentation and Detection. CVPR 2017: 1003-1012 - [c149]Chong You, Daniel P. Robinson, René Vidal:
Provable Self-Representation Based Outlier Detection in a Union of Subspaces. CVPR 2017: 4323-4332 - [c148]Benjamin D. Haeffele, René Vidal:
Global Optimality in Neural Network Training. CVPR 2017: 4390-4398 - [c147]Pietro Morerio, Jacopo Cavazza, Riccardo Volpi, René Vidal, Vittorio Murino:
Curriculum Dropout. ICCV 2017: 3564-3572 - [c146]Siddharth Mahendran, Haider Ali, René Vidal:
3D Pose Regression Using Convolutional Neural Networks. ICCV Workshops 2017: 2174-2182 - [c145]Wanxin Qu, Guoqing Zhou, Hao Zhu, Zhaolin Xiao, Qing Wang, René Vidal:
High angular resolution light field reconstruction with coded-aperture mask. ICIP 2017: 3036-3040 - [c144]Manolis C. Tsakiris, René Vidal:
Hyperplane Clustering via Dual Principal Component Pursuit. ICML 2017: 3472-3481 - [c143]Florence Yellin, Benjamin D. Haeffele, René Vidal:
Blood cell detection and counting in holographic lens-free imaging by convolutional sparse dictionary learning and coding. ISBI 2017: 650-653 - [c142]Benjamin D. Haeffele, Sophie Roth, Lin Zhou, René Vidal:
Removal of the twin image artifact in holographic lens-free imaging by sparse dictionary learning and coding. ISBI 2017: 741-744 - [c141]Benjamin D. Haeffele, Richard Stahl, Geert Vanmeerbeeck, René Vidal:
Efficient Reconstruction of Holographic Lens-Free Images by Sparse Phase Recovery. MICCAI (2) 2017: 109-117 - [c140]Effrosyni Mavroudi, Lingling Tao, René Vidal:
Deep Moving Poselets for Video Based Action Recognition. WACV 2017: 111-120 - 2016
- [c139]Chong You, Claire Donnat, Daniel P. Robinson, René Vidal:
A divide-and-conquer framework for large-scale subspace clustering. ACSSC 2016: 1014-1018 - [c138]Chong You, Daniel P. Robinson, René Vidal:
Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit. CVPR 2016: 3918-3927 - [c137]Chong You, Chun-Guang Li, Daniel P. Robinson, René Vidal:
Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering. CVPR 2016: 3928-3937 - [c136]Colin Lea, Austin Reiter, René Vidal, Gregory D. Hager:
Segmental Spatiotemporal CNNs for Fine-Grained Action Segmentation. ECCV (3) 2016: 36-52 - [c135]Colin Lea, René Vidal, Austin Reiter, Gregory D. Hager:
Temporal Convolutional Networks: A Unified Approach to Action Segmentation. ECCV Workshops (3) 2016: 47-54 - [c134]Colin Lea, René Vidal, Gregory D. Hager:
Learning convolutional action primitives for fine-grained action recognition. ICRA 2016: 1642-1649 - [c133]Evan Schwab, René Vidal, Nicolas Charon:
Spatial-Angular Sparse Coding for HARDI. MICCAI (3) 2016: 475-483 - 2015
- [c132]Bijan Afsari, René Vidal:
Model order reduction for discrete-time LTI systems using the alignment distance. ACC 2015: 2868-2875 - [c131]Shahin Sefati, Noah J. Cowan, René Vidal:
Linear systems with sparse inputs: Observability and input recovery. ACC 2015: 5251-5257 - [c130]Chun-Guang Li, René Vidal:
Structured Sparse Subspace Clustering: A unified optimization framework. CVPR 2015: 277-286 - [c129]Lingling Tao, René Vidal:
Moving Poselets: A Discriminative and Interpretable Skeletal Motion Representation for Action Recognition. ICCV Workshops 2015: 303-311 - [c128]Manolis C. Tsakiris, René Vidal:
Dual Principal Component Pursuit. ICCV Workshops 2015: 850-858 - [c127]Manolis C. Tsakiris, René Vidal:
Filtrated Spectral Algebraic Subspace Clustering. ICCV Workshops 2015: 868-876 - [c126]Chong You, René Vidal:
Geometric Conditions for Subspace-Sparse Recovery. ICML 2015: 1585-1593 - [c125]Congyuan Yang, Daniel P. Robinson, René Vidal:
Sparse Subspace Clustering with Missing Entries. ICML 2015: 2463-2472 - [c124]Colin Lea, Gregory D. Hager, René Vidal:
An Improved Model for Segmentation and Recognition of Fine-Grained Activities with Application to Surgical Training Tasks. WACV 2015: 1123-1129 - 2014
- [c123]Manolis C. Tsakiris, René Vidal:
Abstract algebraic-geometric subspace clustering. ACSSC 2014: 1321-1325 - [c122]María Cecilia Bastarrica, Gerardo Matturro, Romain Robbes, Luis Silvestre, René Vidal:
How does Quality of Formalized Software Processes Affect Adoption? CAiSE 2014: 226-240 - [c121]Lingling Tao, Fatih Porikli, René Vidal:
Sparse Dictionaries for Semantic Segmentation. ECCV (5) 2014: 549-564 - [c120]Vishal M. Patel, René Vidal:
Kernel sparse subspace clustering. ICIP 2014: 2849-2853 - [c119]Benjamin D. Haeffele, Eric Young, René Vidal:
Structured Low-Rank Matrix Factorization: Optimality, Algorithm, and Applications to Image Processing. ICML 2014: 2007-2015 - [c118]Soren Wolfers, Evan Schwab, René Vidal:
Nonnegative ODF estimation via optimal constraint selection. ISBI 2014: 734-737 - 2013
- [c117]Bijan Afsari, René Vidal:
The alignment distance on Spaces of Linear Dynamical Systems. CDC 2013: 1162-1167 - [c116]Rizwan Chaudhry, René Vidal:
Initial-state invariant Binet-Cauchy kernels for the comparison of Linear Dynamical Systems. CDC 2013: 5377-5384 - [c115]Rizwan Chaudhry, Ferda Ofli, Gregorij Kurillo, Ruzena Bajcsy, René Vidal:
Bio-inspired Dynamic 3D Discriminative Skeletal Features for Human Action Recognition. CVPR Workshops 2013: 471-478 - [c114]Nicolas D. Jimenez, Bijan Afsari, René Vidal:
Fast Jacobi-type algorithm for computing distances between linear dynamical systems. ECC 2013: 3682-3687 - [c113]Bijan Afsari, René Vidal:
Group Action Induced Distances on Spaces of High-Dimensional Linear Stochastic Processes. GSI 2013: 425-432 - [c112]Vishal M. Patel, Hien Van Nguyen, René Vidal:
Latent Space Sparse Subspace Clustering. ICCV 2013: 225-232 - [c111]Hans Lobel, René Vidal, Alvaro Soto:
Hierarchical Joint Max-Margin Learning of Mid and Top Level Representations for Visual Recognition. ICCV 2013: 1697-1704 - [c110]Aastha Jain, Shuanak Chatterjee, René Vidal:
Coarse-to-Fine Semantic Video Segmentation Using Supervoxel Trees. ICCV 2013: 1865-1872 - [c109]Erdem Yörük, René Vidal:
Efficient Object Localization and Pose Estimation with 3D Wireframe Models. ICCV Workshops 2013: 538-545 - [c108]Evan Schwab, Hasan Ertan Çetingül, Bijan Afsari, Michael A. Yassa, René Vidal:
Rotation Invariant Features for HARDI. IPMI 2013: 705-717 - [c107]Narges Ahmidi, Yixin Gao, Benjamín Béjar Haro, S. Swaroop Vedula, Sanjeev Khudanpur, René Vidal, Gregory D. Hager:
String Motif-Based Description of Tool Motion for Detecting Skill and Gestures in Robotic Surgery. MICCAI (1) 2013: 26-33 - [c106]Lingling Tao, Luca Zappella, Gregory D. Hager, René Vidal:
Surgical Gesture Segmentation and Recognition. MICCAI (3) 2013: 339-346 - [c105]Giann Gorospe, Laurent Younes, Leslie Tung, René Vidal:
A Metamorphosis Distance for Embryonic Cardiac Action Potential Interpolation and Classification. MICCAI (1) 2013: 469-476 - [c104]Hans Lobel, René Vidal, Domingo Mery, Alvaro Soto:
Joint Dictionary and Classifier Learning for Categorization of Images Using a Max-margin Framework. PSIVT 2013: 87-98 - [c103]Ferda Ofli, Rizwan Chaudhry, Gregorij Kurillo, René Vidal, Ruzena Bajcsy:
Berkeley MHAD: A comprehensive Multimodal Human Action Database. WACV 2013: 53-60 - 2012
- [c102]Daniele Perrone, Avinash Ravichandran, René Vidal, Paolo Favaro:
Image Priors for Image Deblurring with Uncertain Blur. BMVC 2012: 1-11 - [c101]Roberto Tron, Bijan Afsari, René Vidal:
Intrinsic consensus on SO(3) with almost-global convergence. CDC 2012: 2052-2058 - [c100]Ferda Ofli, Rizwan Chaudhry, Gregorij Kurillo, René Vidal, Ruzena Bajcsy:
Sequence of the Most Informative Joints (SMIJ): A new representation for human skeletal action recognition. CVPR Workshops 2012: 8-13 - [c99]Ehsan Elhamifar, Guillermo Sapiro, René Vidal:
See all by looking at a few: Sparse modeling for finding representative objects. CVPR 2012: 1600-1607 - [c98]Bijan Afsari, Rizwan Chaudhry, Avinash Ravichandran, René Vidal:
Group action induced distances for averaging and clustering Linear Dynamical Systems with applications to the analysis of dynamic scenes. CVPR 2012: 2208-2215 - [c97]Aastha Jain, Luca Zappella, Patrick McClure, René Vidal:
Visual Dictionary Learning for Joint Object Categorization and Segmentation. ECCV (5) 2012: 718-731 - [c96]Lingling Tao, Ehsan Elhamifar, Sanjeev Khudanpur, Gregory D. Hager, René Vidal:
Sparse Hidden Markov Models for Surgical Gesture Classification and Skill Evaluation. IPCAI 2012: 167-177 - [c95]Hasan Ertan Çetingül, Bijan Afsari, René Vidal:
An algebraic solution to rotation recovery in HARDI from correspondences of orientation distribution functions. ISBI 2012: 38-41 - [c94]Hasan Ertan Çetingül, Bijan Afsari, Margaret J. Wright, Paul M. Thompson, René Vidal:
Group action induced averaging for HARDI processing. ISBI 2012: 1389-1392 - [c93]Benjamín Béjar Haro, Luca Zappella, René Vidal:
Surgical Gesture Classification from Video Data. MICCAI (1) 2012: 34-41 - [c92]Evan Schwab, Bijan Afsari, René Vidal:
Estimation of Non-negative ODFs Using the Eigenvalue Distribution of Spherical Functions. MICCAI (2) 2012: 322-330 - [c91]Ehsan Elhamifar, Guillermo Sapiro, René Vidal:
Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery. NIPS 2012: 19-27 - 2011
- [c90]Ehsan Elhamifar, René Vidal:
Sparsity in unions of subspaces for classification and clustering of high-dimensional data. Allerton 2011: 1085-1089 - [c89]Yin Chen, Roberto Tron, Andreas Terzis, René Vidal:
Accelerated corrective consensus: Converge to the exact average at a faster rate. ACC 2011: 3417-3422 - [c88]Yin Chen, Roberto Tron, Andreas Terzis, René Vidal:
Corrective consensus with asymmetric wireless links. CDC/ECC 2011: 6660-6665 - [c87]Roberto Tron, Bijan Afsari, René Vidal:
Average consensus on Riemannian manifolds with bounded curvature. CDC/ECC 2011: 7855-7862 - [c86]Roberto Tron, René Vidal:
Distributed computer vision algorithms through distributed averaging. CVPR 2011: 57-63 - [c85]Paolo Favaro, René Vidal, Avinash Ravichandran:
A closed form solution to robust subspace estimation and clustering. CVPR 2011: 1801-1807 - [c84]Ehsan Elhamifar, René Vidal:
Robust classification using structured sparse representation. CVPR 2011: 1873-1879 - [c83]Dheeraj Singaraju, René Vidal:
Using global bag of features models in random fields for joint categorization and segmentation of objects. CVPR 2011: 2313-2319 - [c82]Diego Rother, René Vidal:
A hypothesize-and-bound algorithm for simultaneous object classification, pose estimation and 3D reconstruction from a single 2D image. ICCV Workshops 2011: 553-560 - [c81]Hasan Ertan Çetingül, René Vidal:
Sparse Riemannian manifold clustering for HARDI segmentation. ISBI 2011: 1750-1753 - [c80]Ehsan Elhamifar, René Vidal:
Sparse Manifold Clustering and Embedding. NIPS 2011: 55-63 - 2010
- [c79]Avinash Ravichandran, Paolo Favaro, René Vidal:
A Unified Approach to Segmentation and Categorization of Dynamic Textures. ACCV (1) 2010: 425-438 - [c78]Fabien Lauer, Gérard Bloch, René Vidal:
Nonlinear hybrid system identification with kernel models. CDC 2010: 696-701 - [c77]Yin Chen, Roberto Tron, Andreas Terzis, René Vidal:
Corrective consensus: Converging to the exact average. CDC 2010: 1221-1228 - [c76]Jixin Li, Ehsan Elhamifar, I-Jeng Wang, René Vidal:
Consensus with robustness to outliers via distributed optimization. CDC 2010: 2111-2117 - [c75]Ehsan Elhamifar, René Vidal:
Clustering disjoint subspaces via sparse representation. ICASSP 2010: 1926-1929 - 2009
- [c74]Ehsan Elhamifar, Mihály Petreczky, René Vidal:
Rank tests for the observability of discrete-time jump linear systems with inputs. ACC 2009: 3025-3032 - [c73]Roberto Tron, René Vidal:
Distributed image-based 3-D localization of camera sensor networks. CDC 2009: 901-908 - [c72]Dheeraj Singaraju, Leo J. Grady, René Vidal:
P-brush: Continuous valued MRFs with normed pairwise distributions for image segmentation. CVPR 2009: 1303-1310 - [c71]Avinash Ravichandran, Rizwan Chaudhry, René Vidal:
View-invariant dynamic texture recognition using a bag of dynamical systems. CVPR 2009: 1651-1657 - [c70]Hasan Ertan Çetingül, René Vidal:
Intrinsic mean shift for clustering on Stiefel and Grassmann manifolds. CVPR 2009: 1896-1902 - [c69]Rizwan Chaudhry, Avinash Ravichandran, Gregory D. Hager, René Vidal:
Histograms of oriented optical flow and Binet-Cauchy kernels on nonlinear dynamical systems for the recognition of human actions. CVPR 2009: 1932-1939 - [c68]Alvina Goh, Christophe Lenglet, Paul M. Thompson, René Vidal:
A nonparametric Riemannian framework for processing high angular resolution diffusion images (HARDI). CVPR 2009: 2496-2503 - [c67]Ehsan Elhamifar, René Vidal:
Sparse subspace clustering. CVPR 2009: 2790-2797 - [c66]Ehsan Elhamifar, René Vidal:
Distributed calibration of Camera Sensor Networks. ICDSC 2009: 1-7 - [c65]Hasan Ertan Çetingül, Gernot Plank, Natalia A. Trayanova, René Vidal:
Estimation of Multimodal Orientation Distribution Functions from Cardiac MRI for Tracking Purkinje Fibers Through Branchings. ISBI 2009: 839-842 - [c64]Alvina Goh, Christophe Lenglet, Paul M. Thompson, René Vidal:
Estimating Orientation Distribution Functions with Probability Density Constraints and Spatial Regularity. MICCAI (1) 2009: 877-885 - 2008
- [c63]Alvina Goh, René Vidal:
Clustering and dimensionality reduction on Riemannian manifolds. CVPR 2008 - [c62]Shankar R. Rao, Roberto Tron, René Vidal, Yi Ma:
Motion segmentation via robust subspace separation in the presence of outlying, incomplete, or corrupted trajectories. CVPR 2008 - [c61]Dheeraj Singaraju, Leo J. Grady, René Vidal:
Interactive image segmentation via minimization of quadratic energies on directed graphs. CVPR 2008 - [c60]Dheeraj Singaraju, René Vidal:
Interactive image matting for multiple layers. CVPR 2008 - [c59]Alvina Goh, René Vidal:
Segmenting Fiber Bundles in Diffusion Tensor Images. ECCV (3) 2008: 238-250 - [c58]Richard I. Hartley, René Vidal:
Perspective Nonrigid Shape and Motion Recovery. ECCV (1) 2008: 276-289 - [c57]Avinash Ravichandran, René Vidal:
Video Registration Using Dynamic Textures. ECCV (2) 2008: 514-526 - [c56]Laurent Bako, René Vidal:
Algebraic Identification of MIMO SARX Models. HSCC 2008: 43-57 - [c55]Mihály Petreczky, René Vidal:
Realization Theory for Discrete-Time Semi-algebraic Hybrid Systems. HSCC 2008: 386-400 - [c54]Roberto Tron, René Vidal, Andreas Terzis:
Distributed pose averaging in camera networks via consensus on SE(3). ICDSC 2008: 1-10 - [c53]Hasan Ertan Çetingül, René Vidal, Gernot Plank, Natalia A. Trayanova:
Nonlinear filtering for extracting orientation and tracing tubular structures in 2-D medical images. ISBI 2008: 260-263 - [c52]Alvina Goh, René Vidal:
Unsupervised Riemannian Clustering of Probability Density Functions. ECML/PKDD (1) 2008: 377-392 - 2007
- [c51]Mihály Petreczky, René Vidal:
Realization theory of stochastic jump-Markov linear systems. CDC 2007: 4668-4674 - [c50]René Vidal:
Identification of spatial-temporal switched ARX systems. CDC 2007: 4675-4680 - [c49]Alvina Goh, René Vidal:
Segmenting Motions of Different Types by Unsupervised Manifold Clustering. CVPR 2007 - [c48]Ting Li, Vinutha Kallem, Dheeraj Singaraju, René Vidal:
Projective Factorization of Multiple Rigid-Body Motions. CVPR 2007 - [c47]Roberto Tron, René Vidal:
A Benchmark for the Comparison of 3-D Motion Segmentation Algorithms. CVPR 2007 - [c46]Mihály Petreczky, René Vidal:
Metrics and Topology for Nonlinear and Hybrid Systems. HSCC 2007: 459-472 - [c45]René Vidal, Paolo Favaro:
DynamicBoost: Boosting Time Series Generated by Dynamical Systems. ICCV 2007: 1-6 - [c44]Atiyeh Ghoreyshi, René Vidal:
Epicardial Segmentation in Dynamic Cardiac Mr Sequences Using Priors On Shape, Intensity, and Dynamics, in a Level Set Framework. ISBI 2007: 860-863 - 2006
- [c43]Dheeraj Singaraju, René Vidal:
A Bottom up Algebraic Approach to Motion Segmentation. ACCV (1) 2006: 286-296 - [c42]Xiaodong Fan, René Vidal:
The Space of Multibody Fundamental Matrices: Rank, Geometry and Projection. WDV 2006: 1-17 - [c41]Dheeraj Singaraju, René Vidal:
Direct Segmentation of Multiple 2-D Motion Models of Different Types. WDV 2006: 18-33 - [c40]Atiyeh Ghoreyshi, René Vidal:
Segmenting Dynamic Textures with Ising Descriptors, ARX Models and Level Sets. WDV 2006: 127-141 - [c39]René Vidal, Daniel Abretske:
Nonrigid Shape and Motion from Multiple Perspective Views. ECCV (2) 2006: 205-218 - [c38]Alvina Goh, René Vidal:
Algebraic Methods for Direct and Feature Based Registration of Diffusion Tensor Images. ECCV (3) 2006: 514-525 - [c37]Le Lu, René Vidal:
Combined central and subspace clustering for computer vision applications. ICML 2006: 593-600 - [c36]Avinash Ravichandran, René Vidal, Henry R. Halperin:
Segmenting a beating heart using polysegment and Spatial GPCA. ISBI 2006: 634-637 - [c35]Alvina Goh, René Vidal:
An algebraic solution to rigid registration of diffusion tensor images. ISBI 2006: 642-645 - [c34]René Vidal:
Online Clustering of Moving Hyperplanes. NIPS 2006: 1433-1440 - 2005
- [c33]Yasmin L. Hashambhoy, René Vidal:
Recursive Identification of Switched ARX Models with Unknown Number of Models and Unknown Orders. CDC/ECC 2005: 6115-6121 - [c32]René Vidal, Dheeraj Singaraju:
A Closed Form Solution to Direct Motion Segmentation. CVPR (2) 2005: 510-515 - [c31]René Vidal, Avinash Ravichandran:
Optical Flow Estimation and Segmentation of Multiple Moving Dynamic Textures. CVPR (2) 2005: 516-521 - [c30]Aleksandar Lj. Juloski, W. P. M. H. Heemels, Giancarlo Ferrari-Trecate, René Vidal, Simone Paoletti, J. H. G. Niessen:
Comparison of Four Procedures for the Identification of Hybrid Systems. HSCC 2005: 354-369 - [c29]Yi Ma, René Vidal:
Identification of Deterministic Switched ARX Systems via Identification of Algebraic Varieties. HSCC 2005: 449-465 - [c28]René Vidal:
Multi-Subspace Methods for Motion Segmentation from Affine, Perspective and Central Panoramic Cameras. ICRA 2005: 1216-1221 - 2004
- [c27]René Vidal:
Identification of PWARX hybrid models with unknown and possibly different orders. ACC 2004: 547-552 - [c26]René Vidal, Brian D. O. Anderson:
Recursive identification of switched ARX hybrid models: exponential convergence and persistence of excitation. CDC 2004: 32-37 - [c25]René Vidal, Richard I. Hartley:
Motion Segmentation with Missing Data Using PowerFactorization and GPCA. CVPR (2) 2004: 310-316 - [c24]René Vidal, Yi Ma, Jacopo Piazzi:
A New GPCA Algorithm for Clustering Subspaces by Fitting, Differentiating and Dividing Polynomials. CVPR (1) 2004: 510-517 - [c23]Kun Huang, Yi Ma, René Vidal:
Minimum Effective Dimension for Mixtures of Subspaces: A Robust GPCA Algorithm and Its Applications. CVPR (2) 2004: 631-638 - [c22]Richard I. Hartley, René Vidal:
The Multibody Trifocal Tensor: Motion Segmentation from 3 Perspective Views. CVPR (1) 2004: 769-775 - [c21]René Vidal, Yi Ma:
A Unified Algebraic Approach to 2-D and 3-D Motion Segmentation. ECCV (1) 2004: 1-15 - [c20]Domingo Mery, Felipe Ochoa, René Vidal:
Tracking of Points in a Calibrated and Noisy Image Sequence. ICIAR (1) 2004: 647-654 - [c19]Jana Kosecká, Yi Ma, Stefano Soatto, René Vidal:
Multiple-view geometry for image-based modeling. SIGGRAPH Course Notes 2004: 9 - 2003
- [c18]René Vidal, Stefano Soatto, Yi Ma, Shankar Sastry:
An algebraic geometric approach to the identification of a class of linear hybrid systems. CDC 2003: 167-172 - [c17]Omid Shakernia, René Vidal, Shankar Sastry:
Omnidirectional Egomotion Estimation From Back-projection Flow. CVPR Workshops 2003: 82 - [c16]Omid Shakernia, René Vidal, Shankar Sastry:
Structure from Small Baseline Motion with Central Panoramic Cameras. CVPR Workshops 2003: 83 - [c15]René Vidal, Shankar Sastry:
Optimal Segmentation of Dynamic Scenes from Two Perspective Views. CVPR (2) 2003: 281-286 - [c14]René Vidal, Yi Ma, Shankar Sastry:
Generalized Principal Component Analysis (GPCA). CVPR (1) 2003: 621-628 - [c13]René Vidal, Alessandro Chiuso, Stefano Soatto, Shankar Sastry:
Observability of Linear Hybrid Systems. HSCC 2003: 526-539 - [c12]Omid Shakernia, René Vidal, Shankar Sastry:
Multibody motion estimation and segmentation from multiple central panoramic views. ICRA 2003: 571-576 - [c11]René Vidal, Omid Shakernia, Shankar Sastry:
Formation control of nonholonomic mobile robots with omnidirectional visual servoing and motion segmentation. ICRA 2003: 584-589 - [c10]Noah J. Cowan, Omid Shakernia, René Vidal, Shankar Sastry:
Vision-based follow-the-leader. IROS 2003: 1796-1801 - 2002
- [c9]René Vidal, Alessandro Chiuso, Stefano Soatto:
Observability and identifiability of jump linear systems. CDC 2002: 3614-3619 - [c8]René Vidal, John Oliensis:
Structure from Planar Motions with Small Baselines. ECCV (2) 2002: 383-398 - [c7]Omid Shakernia, René Vidal, Courtney S. Sharp, Yi Ma, Shankar Sastry:
Multiple View Motion Estimation and Control for Landing an Unmanned Aerial Vehicle. ICRA 2002: 2793-2798 - 2001
- [c6]H. Jin Kim, René Vidal, David Hyunchul Shim, Omid Shakernia, Shankar Sastry:
A hierarchical approach to probabilistic pursuit-evasion games with unmanned ground and aerial vehicles. CDC 2001: 634-639 - [c5]René Vidal, Shawn Schaffert, Omid Shakernia, John Lygeros, Shankar Sastry:
Decidable and semi-decidable controller synthesis for classes of discrete time hybrid systems. CDC 2001: 1243-1248 - [c4]René Vidal, Yi Ma, Shawn Hsu, Shankar Sastry:
Optimal Motion Estimation from Multiview Normalized Epipolar Constraint. ICCV 2001: 34-41 - [c3]René Vidal, Shahid Rashid, Courtney S. Sharp, Omid Shakernia, Jin Kim, Shankar Sastry:
Pursuit-Evasion Games with Unmanned Ground and Aerial Vehicles. ICRA 2001: 2948-2955 - 2000
- [c2]Yi Ma, René Vidal, Jana Kosecka, Shankar Sastry:
Kruppa Equation Revisited: Its Renormalization and Degeneracy. ECCV (2) 2000: 561-577 - [c1]René Vidal, Shawn Schaffert, John Lygeros, Shankar Sastry:
Controlled Invariance of Discrete Time Systems. HSCC 2000: 437-450
Editorship
- 2007
- [e1]René Vidal, Anders Heyden, Yi Ma:
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. Lecture Notes in Computer Science 4358, Springer 2007, ISBN 978-3-540-70931-2 [contents]
Informal and Other Publications
- 2024
- [i88]Konstantinos Emmanouilidis, René Vidal, Nicolas Loizou:
Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities. CoRR abs/2403.07148 (2024) - [i87]Kyle Poe, Enrique Mallada, René Vidal:
Invertibility of Discrete-Time Linear Systems with Sparse Inputs. CoRR abs/2403.20294 (2024) - 2023
- [i86]Aditya Chattopadhyay, Kwan Ho Ryan Chan, Benjamin D. Haeffele, Donald Geman, René Vidal:
Variational Information Pursuit for Interpretable Predictions. CoRR abs/2302.02876 (2023) - [i85]Kyle Poe, Enrique Mallada, René Vidal:
Necessary and Sufficient Conditions for Simultaneous State and Input Recovery of Linear Systems with Sparse Inputs by 𝓁1-Minimization. CoRR abs/2304.05526 (2023) - [i84]Liangzu Peng, Paris V. Giampouras, René Vidal:
The Ideal Continual Learner: An Agent That Never Forgets. CoRR abs/2305.00316 (2023) - [i83]Kaleab Alemayehu Kinfu, René Vidal:
Efficient Vision Transformer for Human Pose Estimation via Patch Selection. CoRR abs/2306.04225 (2023) - [i82]Darshan Thaker, Paris Giampouras, René Vidal:
A Linearly Convergent GAN Inversion-based Algorithm for Reverse Engineering of Deceptions. CoRR abs/2306.04756 (2023) - [i81]Tianzhe Chu, Shengbang Tong, Tianjiao Ding, Xili Dai, Benjamin David Haeffele, René Vidal, Yi Ma:
Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models. CoRR abs/2306.05272 (2023) - [i80]Hancheng Min, René Vidal, Enrique Mallada:
Early Neuron Alignment in Two-layer ReLU Networks with Small Initialization. CoRR abs/2307.12851 (2023) - [i79]Kwan Ho Ryan Chan, Aditya Chattopadhyay, Benjamin David Haeffele, René Vidal:
Variational Information Pursuit with Large Language and Multimodal Models for Interpretable Predictions. CoRR abs/2308.12562 (2023) - [i78]Christiaan Lamers, René Vidal, Ahmed Nabil Belbachir, Niki van Stein, Thomas Bäck, Paris Giampouras:
Clustering-based Domain-Incremental Learning. CoRR abs/2309.12078 (2023) - [i77]Ambar Pal, Jeremias Sulam, René Vidal:
Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness. CoRR abs/2309.16096 (2023) - [i76]Yutao Tang, Benjamín Béjar, René Vidal:
Semantic-aware Video Representation for Few-shot Action Recognition. CoRR abs/2311.06218 (2023) - [i75]Jinqi Luo, Kwan Ho Ryan Chan, Dimitris Dimos, René Vidal:
Knowledge Pursuit Prompting for Zero-Shot Multimodal Synthesis. CoRR abs/2311.17898 (2023) - [i74]Stefan Kolek, Aditya Chattopadhyay, Kwan Ho Ryan Chan, Héctor Andrade-Loarca, Gitta Kutyniok, René Vidal:
Learning Interpretable Queries for Explainable Image Classification with Information Pursuit. CoRR abs/2312.11548 (2023) - 2022
- [i73]Joshua T. Vogelstein, Timothy D. Verstynen, Konrad P. Kording, Leyla Isik, John W. Krakauer, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Carey E. Priebe, Randal C. Burns, Kwame S. Kutten, James J. Knierim, James B. Potash, Thomas Hartung, Lena Smirnova, Paul Worley, Alena V. Savonenko, Ian Phillips, Michael I. Miller, René Vidal, Jeremias Sulam, Adam Charles, Noah J. Cowan, Maxim Bichuch, Archana Venkataraman, Chen Li, Nitish V. Thakor, Justus M. Kebschull, Marilyn S. Albert, Jinchong Xu, Marshall G. Hussain Shuler, Brian Caffo, J. Tilak Ratnanather, Ali Geisa, Seung-Eon Roh, Eva Yezerets, Meghana Madhyastha, Javier J. How, Tyler M. Tomita, Jayanta Dey, Ningyuan Huang, Jong M. Shin, Kaleab Alemayehu Kinfu, Pratik Chaudhari, Ben Baker, Anna Schapiro, Dinesh Jayaraman, Eric Eaton, Michael Platt, Lyle H. Ungar, Leila Wehbe, Ádám Kepecs, Amy Christensen, Onyema Osuagwu, Bing Brunton, Brett Mensh, Alysson R. Muotri, Gabriel A. Silva, Francesca Puppo, Florian Engert, Elizabeth Hillman, Julia Brown, Chris White, Weiwei Yang:
Prospective Learning: Back to the Future. CoRR abs/2201.07372 (2022) - [i72]Paris V. Giampouras, Benjamin D. Haeffele, René Vidal:
Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension. CoRR abs/2201.09079 (2022) - [i71]Darshan Thaker, Paris Giampouras, René Vidal:
Reverse Engineering 𝓁p attacks: A block-sparse optimization approach with recovery guarantees. CoRR abs/2203.04886 (2022) - [i70]Liangzu Peng, Manolis C. Tsakiris, René Vidal:
ARCS: Accurate Rotation and Correspondence Search. CoRR abs/2203.14493 (2022) - [i69]Aditya Chattopadhyay, Xi Zhang, David Paul Wipf, Himanshu Arora, René Vidal:
Structured Graph Variational Autoencoders for Indoor Furniture layout Generation. CoRR abs/2204.04867 (2022) - [i68]Danny Weyns, Thomas Bäck, René Vidal, Xin Yao, Ahmed Nabil Belbachir:
The Vision of Self-Evolving Computing Systems. CoRR abs/2204.06825 (2022) - [i67]Kaleab Alemayehu Kinfu, René Vidal:
Analysis and Extensions of Adversarial Training for Video Classification. CoRR abs/2206.07953 (2022) - [i66]Aditya Chattopadhyay, Stewart Slocum, Benjamin D. Haeffele, René Vidal, Donald Geman:
Interpretable by Design: Learning Predictors by Composing Interpretable Queries. CoRR abs/2207.00938 (2022) - [i65]Liangzu Peng, Mahyar Fazlyab, René Vidal:
Towards Understanding The Semidefinite Relaxations of Truncated Least-Squares in Robust Rotation Search. CoRR abs/2207.08350 (2022) - [i64]Juan Cerviño, Luiz F. O. Chamon, Benjamin D. Haeffele, René Vidal, Alejandro Ribeiro:
Learning Globally Smooth Functions on Manifolds. CoRR abs/2210.00301 (2022) - [i63]Yutao Tang, Benjamín Béjar, Joey K.-Y. Essoe, Joseph F. McGuire, René Vidal:
Facial Tic Detection in Untrimmed Videos of Tourette Syndrome Patients. CoRR abs/2211.03895 (2022) - [i62]Ambar Pal, Arnau Ramisa, Amit Kumar K. C, René Vidal:
On Utilizing Relationships for Transferable Few-Shot Fine-Grained Object Detection. CoRR abs/2212.00770 (2022) - 2021
- [i61]Hancheng Min, Salma Tarmoun, René Vidal, Enrique Mallada:
On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks. CoRR abs/2105.06351 (2021) - [i60]Danny Weyns, Thomas Bäck, René Vidal, Xin Yao, Ahmed Nabil Belbachir:
Lifelong Computing. CoRR abs/2108.08802 (2021) - [i59]Yunchen Yang, Xinyue Zhang, Tianjiao Ding, Daniel P. Robinson, René Vidal, Manolis C. Tsakiris:
Boosting RANSAC via Dual Principal Component Pursuit. CoRR abs/2110.02918 (2021) - [i58]Shangzhi Zhang, Chong You, René Vidal, Chun-Guang Li:
Learning a Self-Expressive Network for Subspace Clustering. CoRR abs/2110.04318 (2021) - 2020
- [i57]Qing Qu, Zhihui Zhu, Xiao Li, Manolis C. Tsakiris, John Wright, René Vidal:
Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications. CoRR abs/2001.06970 (2020) - [i56]Chong You, Chun-Guang Li, Daniel P. Robinson, René Vidal:
Is an Affine Constraint Needed for Affine Subspace Clustering? CoRR abs/2005.03888 (2020) - [i55]Chong You, Chi Li, Daniel P. Robinson, René Vidal:
Self-Representation Based Unsupervised Exemplar Selection in a Union of Subspaces. CoRR abs/2006.04246 (2020) - [i54]Ambar Pal, René Vidal:
A Game Theoretic Analysis of Additive Adversarial Attacks and Defenses. CoRR abs/2009.06530 (2020) - [i53]Benjamin D. Haeffele, Chong You, René Vidal:
A Critique of Self-Expressive Deep Subspace Clustering. CoRR abs/2010.03697 (2020) - [i52]Paris Giampouras, René Vidal, Athanasios A. Rontogiannis, Benjamin D. Haeffele:
A novel variational form of the Schatten-p quasi-norm. CoRR abs/2010.13927 (2020) - [i51]Derek Lim, René Vidal, Benjamin D. Haeffele:
Doubly Stochastic Subspace Clustering. CoRR abs/2011.14859 (2020) - 2019
- [i50]Effrosyni Mavroudi, Benjamín Béjar Haro, René Vidal:
Neural Message Passing on Hybrid Spatio-Temporal Visual and Symbolic Graphs for Video Understanding. CoRR abs/1905.07385 (2019) - [i49]Guilherme França, Daniel P. Robinson, René Vidal:
Gradient Flows and Accelerated Proximal Splitting Methods. CoRR abs/1908.00865 (2019) - [i48]Benjamín Béjar Haro, Ivan Dokmanic, René Vidal:
The fastest 𝓁1, ∞ prox in the west. CoRR abs/1910.03749 (2019) - [i47]Mustafa Devrim Kaba, Mengnan Zhao, René Vidal, Daniel P. Robinson, Enrique Mallada:
Generalized Nullspace Property for Structurally Sparse Signals. CoRR abs/1910.05652 (2019) - [i46]Ambar Pal, Connor Lane, René Vidal, Benjamin D. Haeffele:
On the Regularization Properties of Structured Dropout. CoRR abs/1910.14186 (2019) - [i45]Daniel P. Robinson, René Vidal, Chong You:
Basis Pursuit and Orthogonal Matching Pursuit for Subspace-preserving Recovery: Theoretical Analysis. CoRR abs/1912.13091 (2019) - 2018
- [i44]Manolis C. Tsakiris, René Vidal:
Theoretical Analysis of Sparse Subspace Clustering with Missing Entries. CoRR abs/1801.00393 (2018) - [i43]Effrosyni Mavroudi, Divya Bhaskara, Shahin Sefati, Haider Ali, René Vidal:
End-to-End Fine-Grained Action Segmentation and Recognition Using Conditional Random Field Models and Discriminative Sparse Coding. CoRR abs/1801.09571 (2018) - [i42]Mengnan Zhao, M. Devrim Kaba, René Vidal, Daniel P. Robinson, Enrique Mallada:
Sparse Recovery over Graph Incidence Matrices: Polynomial Time Guarantees and Location Dependent Performance. CoRR abs/1803.09631 (2018) - [i41]Siddharth Mahendran, Haider Ali, René Vidal:
A Mixed Classification-Regression Framework for 3D Pose Estimation from 2D Images. CoRR abs/1805.03225 (2018) - [i40]Poorya Mianjy, Raman Arora, René Vidal:
On the Implicit Bias of Dropout. CoRR abs/1806.09777 (2018) - [i39]Evan Schwab, Benjamin D. Haeffele, Nicolas Charon, René Vidal:
Separable Dictionary Learning with Global Optimality and Applications to Diffusion MRI. CoRR abs/1807.05595 (2018) - [i38]Siddharth Mahendran, Ming Yang Lu, Haider Ali, René Vidal:
Monocular Object Orientation Estimation using Riemannian Regression and Classification Networks. CoRR abs/1807.07226 (2018) - [i37]Chun-Guang Li, Chong You, René Vidal:
On Geometric Analysis of Affine Sparse Subspace Clustering. CoRR abs/1808.05965 (2018) - [i36]Xiao Li, Zhihui Zhu, Anthony Man-Cho So, René Vidal:
Nonconvex Robust Low-rank Matrix Recovery. CoRR abs/1809.09237 (2018) - [i35]Zhihui Zhu, Yifan Wang, Daniel P. Robinson, Daniel Q. Naiman, René Vidal, Manolis C. Tsakiris:
Dual Principal Component Pursuit: Probability Analysis and Efficient Algorithms. CoRR abs/1812.09924 (2018) - 2017
- [i34]Ehsan Jahangiri, Erdem Yörük, René Vidal, Laurent Younes, Donald Geman:
Information Pursuit: A Bayesian Framework for Sequential Scene Parsing. CoRR abs/1701.02343 (2017) - [i33]Pietro Morerio, Jacopo Cavazza, Riccardo Volpi, René Vidal, Vittorio Murino:
Curriculum Dropout. CoRR abs/1703.06229 (2017) - [i32]Chong You, Daniel P. Robinson, René Vidal:
Provable Self-Representation Based Outlier Detection in a Union of Subspaces. CoRR abs/1704.03925 (2017) - [i31]Manolis C. Tsakiris, René Vidal:
Hyperplane Clustering Via Dual Principal Component Pursuit. CoRR abs/1706.01604 (2017) - [i30]Evan Schwab, René Vidal, Nicolas Charon:
($k, q$)-Compressed Sensing for dMRI with Joint Spatial-Angular Sparsity Prior. CoRR abs/1707.09958 (2017) - [i29]Siddharth Mahendran, Haider Ali, René Vidal:
3D Pose Regression using Convolutional Neural Networks. CoRR abs/1708.05628 (2017) - [i28]Benjamin D. Haeffele, René Vidal:
Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Applications. CoRR abs/1708.07850 (2017) - [i27]Jacopo Cavazza, Connor Lane, Benjamin D. Haeffele, Vittorio Murino, René Vidal:
An Analysis of Dropout for Matrix Factorization. CoRR abs/1710.03487 (2017) - [i26]Jacopo Cavazza, Pietro Morerio, Benjamin D. Haeffele, Connor Lane, Vittorio Murino, René Vidal:
Dropout as a Low-Rank Regularizer for Matrix Factorization. CoRR abs/1710.05092 (2017) - [i25]Siddharth Mahendran, Haider Ali, René Vidal:
Joint Object Category and 3D Pose Estimation from 2D Images. CoRR abs/1711.07426 (2017) - [i24]Yunhan Zhao, Haider Ali, René Vidal:
Stretching Domain Adaptation: How far is too far? CoRR abs/1712.02286 (2017) - [i23]René Vidal, Joan Bruna, Raja Giryes, Stefano Soatto:
Mathematics of Deep Learning. CoRR abs/1712.04741 (2017) - [i22]Daniel Cremers, Laura Leal-Taixé, René Vidal:
Deep Learning for Computer Vision (Dagstuhl Seminar 17391). Dagstuhl Reports 7(9): 109-125 (2017) - 2016
- [i21]Colin Lea, Austin Reiter, René Vidal, Gregory D. Hager:
Efficient Segmental Inference for Spatiotemporal Modeling of Fine-grained Actions. CoRR abs/1602.02995 (2016) - [i20]Chong You, Chun-Guang Li, Daniel P. Robinson, René Vidal:
Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering. CoRR abs/1605.02633 (2016) - [i19]Colin Lea, René Vidal, Austin Reiter, Gregory D. Hager:
Temporal Convolutional Networks: A Unified Approach to Action Segmentation. CoRR abs/1608.08242 (2016) - [i18]Chun-Guang Li, Chong You, René Vidal:
Structured Sparse Subspace Clustering: A Joint Affinity Learning and Subspace Clustering Framework. CoRR abs/1610.05211 (2016) - [i17]Colin Lea, Michael D. Flynn, René Vidal, Austin Reiter, Gregory D. Hager:
Temporal Convolutional Networks for Action Segmentation and Detection. CoRR abs/1611.05267 (2016) - [i16]Evan Schwab, René Vidal, Nicolas Charon:
Efficient Global Spatial-Angular Sparse Coding for Diffusion MRI with Separable Dictionaries. CoRR abs/1612.05846 (2016) - 2015
- [i15]Manolis C. Tsakiris, René Vidal:
Abstract Algebraic Subspace Clustering. CoRR abs/1506.06289 (2015) - [i14]Benjamin D. Haeffele, René Vidal:
Global Optimality in Tensor Factorization, Deep Learning, and Beyond. CoRR abs/1506.07540 (2015) - [i13]Chong You, René Vidal:
Sparse Subspace Clustering by Orthogonal Matching Pursuit. CoRR abs/1507.01238 (2015) - [i12]Chong You, René Vidal:
Subspace-Sparse Representation. CoRR abs/1507.01307 (2015) - [i11]Manolis C. Tsakiris, René Vidal:
Algebraic Clustering of Affine Subspaces. CoRR abs/1509.06729 (2015) - [i10]Manolis C. Tsakiris, René Vidal:
Dual Principal Component Pursuit. CoRR abs/1510.04390 (2015) - [i9]Manolis C. Tsakiris, René Vidal:
Filtrated Spectral Algebraic Subspace Clustering. CoRR abs/1510.04396 (2015) - [i8]Siddharth Mahendran, René Vidal:
Car Segmentation and Pose Estimation using 3D Object Models. CoRR abs/1512.06790 (2015) - 2012
- [i7]Bijan Afsari, Roberto Tron, René Vidal:
On The Convergence of Gradient Descent for Finding the Riemannian Center of Mass. CoRR abs/1201.0925 (2012) - [i6]René Vidal, Yi Ma, Shankar Sastry:
Generalized Principal Component Analysis (GPCA). CoRR abs/1202.4002 (2012) - [i5]Ehsan Elhamifar, René Vidal:
Sparse Subspace Clustering: Algorithm, Theory, and Applications. CoRR abs/1203.1005 (2012) - [i4]Rizwan Chaudhry, Gregory D. Hager, René Vidal:
Dynamic Template Tracking and Recognition. CoRR abs/1204.4476 (2012) - 2011
- [i3]Ehsan Elhamifar, René Vidal:
Structured Sparse Recovery via Convex Optimization. CoRR abs/1104.0654 (2011) - [i2]Diego Rother, Simon Schütz, René Vidal:
A Computational Focus of Attention Mechanism to Process Shapes Efficiently: Theory. CoRR abs/1104.2580 (2011) - [i1]Diego Rother, Siddharth Mahendran, René Vidal:
Hypothesize and Bound: A Computational Focus of Attention Mechanism for Simultaneous 3D Shape Reconstruction, Pose Estimation and Classification from a Single 2D Image. CoRR abs/1109.5730 (2011)
Coauthor Index
Paris Giampouras
aka: Paris V. Giampouras
aka: Paris V. Giampouras
Benjamin D. Haeffele
aka: Benjamin David Haeffele
aka: Benjamin David Haeffele
Benjamín Béjar Haro
aka: Benjamín Béjar
aka: Benjamín Béjar
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