R. Vidal

发表

Structured Low-Rank Matrix Factorization: Optimality, Algorithm, and Applications to Image Processing

René Vidal, Benjamin D. Haeffele, Eric Young, 2014, ICML.

Stochastic Tractography in 3-D Images via Nonlinear Filtering and Spherical Clustering

R. Vidal, H. E. Çetingül, G. Plank, 2009 .

Identification of Hybrid Systems: A Tutorial

René Vidal, Giancarlo Ferrari-Trecate, Simone Paoletti, 2007, Eur. J. Control.

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

S. Sastry, Yi Ma, R. Vidal, 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

Recursive identification of switched ARX hybrid models: exponential convergence and persistence of excitation

B. Anderson, R. Vidal, 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).

Identification of PWARX hybrid models with unknown and possibly different orders

R. Vidal, 2004, Proceedings of the 2004 American Control Conference.

Recursive Identification of Switched ARX Models with Unknown Number of Models and Unknown Orders

Yasmin L. Hashambhoy, R. Vidal, 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

On the Implicit Bias of Dropout

Raman Arora, René Vidal, Poorya Mianjy, 2018, ICML.

Histograms of oriented optical flow and Binet-Cauchy kernels on nonlinear dynamical systems for the recognition of human actions

R. Vidal, Gregory Hager, Rizwan Ahmed Chaudhry, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Object-Level Generative Models for 3D Scene Understanding

D. Geman, R. Vidal, L. Younes, 2015 .

Observability and identifiability of jump linear systems

R. Vidal, Stefano Soatto, A. Chiuso, 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

Intrinsic mean shift for clustering on Stiefel and Grassmann manifolds

R. Vidal, H. E. Çetingül, H. Cetingul, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

JHU-ISI Gesture and Skill Assessment Working Set ( JIGSAWS ) : A Surgical Activity Dataset for Human Motion Modeling

Henry C. Lin, R. Vidal, S. Khudanpur, 2014 .

Surgical Gesture Segmentation and Recognition

Gregory D. Hager, René Vidal, Luca Zappella, 2013, MICCAI.

An Improved Model for Segmentation and Recognition of Fine-Grained Activities with Application to Surgical Training Tasks

Gregory D. Hager, René Vidal, Colin Lea, 2015, 2015 IEEE Winter Conference on Applications of Computer Vision.

Surgical gesture classification from video and kinematic data

Gregory D. Hager, René Vidal, Luca Zappella, 2013, Medical Image Anal..

Mathematics of Deep Learning pdf

Joan Bruna, Stefano Soatto, René Vidal, 2017, ArXiv.

Sparse Subspace Clustering: Algorithm, Theory, and Applications.

R. Vidal, Ehsan Elhamifar, 2013, IEEE transactions on pattern analysis and machine intelligence.

Robust classification using structured sparse representation

René Vidal, Ehsan Elhamifar, R. Vidal, 2011, CVPR 2011.

Sequence of the Most Informative Joints (SMIJ): A new representation for human skeletal action recognition

Ruzena Bajcsy, René Vidal, Gregorij Kurillo, 2012, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Distributed 3-D localization in camera networks

R. Vidal, Roberto Tron, 2009 .

On the Convergence of Gradient Descent for Finding the Riemannian Center of Mass pdf

René Vidal, Roberto Tron, Bijan Afsari, 2011, SIAM J. Control. Optim..

A nonparametric Riemannian framework for processing high angular resolution diffusion images (HARDI)

R. Vidal, P. Thompson, C. Lenglet, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Vision-based follow-the-leader

S. Shankar Sastry, René Vidal, Noah J. Cowan, 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

A Benchmark for the Comparison of 3-D Motion Segmentation Algorithms

René Vidal, Roberto Tron, R. Vidal, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Riemannian Consensus for Manifolds With Bounded Curvature

René Vidal, Roberto Tron, Bijan Afsari, 2012, IEEE Transactions on Automatic Control.

3 D Pose Regression using Convolutional Neural Networks

R. Vidal, S. Mahendran, Haider Ali, .

Relax, and Accelerate: A Continuous Perspective on ADMM

Daniel P. Robinson, René Vidal, Guilherme França, 2018 .

Motion segmentation with missing data using PowerFactorization and GPCA

R. Vidal, R. Hartley, 2004, CVPR 2004.

Distributed Formation Control with Omnidirectional Vision-Based Motion Segmentation and Visual Servoing

René Vidal, S. Shankar Sastry, O. Shakernia, 2004 .

A new GPCA algorithm for clustering subspaces by fitting, differentiating and dividing polynomials

Yi Ma, R. Vidal, J. Piazzi, 2004, CVPR 2004.

Video Registration Using Dynamic Textures

René Vidal, Avinash Ravichandran, R. Vidal, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Global Optimality in Neural Network Training

René Vidal, Benjamin D. Haeffele, B. Haeffele, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

A TUTORIAL ON SUBSPACE CLUSTERING

R. Vidal, 2010 .

Open-Universe Theory for Bayesian Inference, Decision, and Sensing (OUTBIDS)

Andreas Terzis, René Vidal, Stuart J. Russell, 2014 .

Sparse Hidden Markov Models for Surgical Gesture Classification and Skill Evaluation

Gregory D. Hager, René Vidal, Sanjeev Khudanpur, 2012, IPCAI.

Bio-inspired Dynamic 3D Discriminative Skeletal Features for Human Action Recognition

Ruzena Bajcsy, René Vidal, Gregorij Kurillo, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops.

Interactive image segmentation via minimization of quadratic energies on directed graphs

Leo Grady, René Vidal, Dheeraj Singaraju, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Realization theory of stochastic jump-Markov linear systems

René Vidal, Mihály Petreczky, R. Vidal, 2007, 2007 46th IEEE Conference on Decision and Control.

Sparse Subspace Clustering: Algorithm, Theory, and Applications

René Vidal, Ehsan Elhamifar, R. Vidal, 2012, IEEE transactions on pattern analysis and machine intelligence.

Identification of switched linear state space models without minimum dwell time

R. Vidal, L. Bako, G. Mercère, 2009 .

The multibody trifocal tensor: motion segmentation from 3 perspective views

René Vidal, Richard I. Hartley, R. Vidal, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Generalized principal component analysis (GPCA)

S. Shankar Sastry, René Vidal, Yi Ma, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

Minimum effective dimension for mixtures of subspaces: a robust GPCA algorithm and its applications

Yi Ma, R. Vidal, Kun Huang, 2004, CVPR 2004.

Rank Conditions of the Multiple View Matrix in Multiple View Geometry

S. Shankar Sastry, René Vidal, Yi Ma, 2001 .

Optimal segmentation of dynamic scenes from two perspective views

S. Shankar Sastry, René Vidal, S. Sastry, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

Distributed Face Recognition via Consensus on SE(3)

René Vidal, Roberto Tron, R. Vidal, 2008 .

VISION-BASED DETECTION OF AUTONOMOUS VEHICLES FOR PURSUIT-EVASION GAMES

S. Sastry, R. Vidal, 2002 .

Learning Convolutional Action Primitives from Multimodal Timeseries Data *

Gregory D. Hager, René Vidal, Colin Lea, 2015 .

Decidable and semi-decidable controller synthesis for classes of discrete time hybrid systems

S. Sastry, R. Vidal, S. Sastry, 2001, Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228).

The multibody trifocal tensor: motion segmentation from 3 perspective views

R. Vidal, R. Hartley, 2004, CVPR 2004.

Algebraic-Geometric Methods

S. Sastry, Yi Ma, R. Vidal, 2016 .

Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering

Daniel P. Robinson, René Vidal, Chong You, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Identification of Switched MIMO ARX models

René Vidal, Laurent Bako, R. Vidal, 2007 .

A Factorization Method for 3 D Multi-body Motion Estimation and Segmentation ∗

R. Vidal, 2002 .

Dynamical Systems in Video Analysis

R. Vidal, Stefano Soatto, Avinash Ravichandran, 2014 .

Distances on Spaces of High-Dimensional Linear Stochastic Processes: A Survey

René Vidal, Bijan Afsari, R. Vidal, 2014 .

Model Order Reduction in the Alignment Distance and Metrization of the Kalman Decomposition

R. Vidal, B. Afsari, 2016 .

Supplementary Material to Curriculum Dropout

R. Vidal, Vittorio Murino, Riccardo Volpi, 2017 .

Improving age measurement in low- and middle-income countries through computer vision: A test in Senegal

R. Vidal, S. Helleringer, V. Delaunay, 2019, Demographic Research.

A Dynamical Systems Perspective on Nonsmooth Constrained Optimization

Daniel P. Robinson, Guilherme França, René Vidal, 2018 .

Efficient Metamorphosis Computation for Classifying Embryonic Cardiac Action Potentials

R. Vidal, L. Younes, L. Tung, 2015 .

Mosaicing Non-Rigid Dynamical Scenes

R. Vidal, Avinash Ravichandran, 2007 .

Dimensionality Reduction via Subspace and Submanifold Learning

Guillermo Sapiro, René Vidal, Partha Niyogi, 2011 .

Motion Segmentation with Missing Data Using PowerFactorization and GPCA

René Vidal, Richard I. Hartley, R. Vidal, 2004, CVPR.

Identification of Deterministic Hybrid ARX Systems via the Identification of Algebraic Varieties ?

Yi Ma, R. Vidal, 2004 .

Generalized principal component analysis (GPCA)

S. Sastry, Yi Ma, R. Vidal, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

2 Paracatadioptric Motion Segmentation 2 . 1 Paracatadioptric projection model

S. Sastry, R. Vidal, O. Shakernia, 2002 .

New Rank Deficiency Condition for Multiple View Geometry of Point Features

S. Shankar Sastry, René Vidal, Yi Ma, 2001 .

Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications pdf

Zhihui Zhu, Qing Qu, Manolis C. Tsakiris, 2020, ArXiv.

Multi-cell Detection and Classification Using a Generative Convolutional Model

René Vidal, Benjamin D. Haeffele, Florence Yellin, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Linear systems with sparse inputs: Observability and input recovery

René Vidal, Noah J. Cowan, Shahin Sefati, 2015, 2015 American Control Conference (ACC).

Image Priors for Image Deblurring with Uncertain Blur

René Vidal, Avinash Ravichandran, Daniele Perrone, 2012, BMVC.

Gradient flows and proximal splitting methods: A unified view on accelerated and stochastic optimization.

Daniel P. Robinson, Ren'e Vidal, Guilherme Francca, 2019, Physical review. E.

Optimization Landscape of Neural Networks

B. Haeffele, R. Vidal, 2021 .

On dissipative symplectic integration with applications to gradient-based optimization

Michael I. Jordan, Ren'e Vidal, Guilherme Francca, 2020, Journal of Statistical Mechanics: Theory and Experiment.

Conformal symplectic and relativistic optimization

Daniel P. Robinson, Jeremias Sulam, Ren'e Vidal, 2019, NeurIPS.

Gradient Flows and Accelerated Proximal Splitting Methods pdf

Daniel P. Robinson, René Vidal, Guilherme França, 2019, ArXiv.

Relax, and Accelerate: A Continuous Perspective on ADMM

Daniel P. Robinson, R. Vidal, G. França, 2018 .

ADMM and Accelerated ADMM as Continuous Dynamical Systems

Daniel P. Robinson, René Vidal, Guilherme França, 2018, ICML.

Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Applications

René Vidal, Benjamin D. Haeffele, B. Haeffele, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Block-Sparse Recovery via Convex Optimization

René Vidal, Ehsan Elhamifar, R. Vidal, 2011, IEEE Transactions on Signal Processing.

Automated Grouping of Action Potentials of Human Embryonic Stem Cell-Derived Cardiomyocytes

René Vidal, Leslie Tung, Giann Gorospe, 2014, IEEE Transactions on Biomedical Engineering.

Classifying and Comparing Approaches to Subspace Clustering with Missing Data

Chong You, René Vidal, Manolis C. Tsakiris, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

On Geometric Analysis of Affine Sparse Subspace Clustering

René Vidal, Chong You, Chun-Guang Li, 2018, IEEE Journal of Selected Topics in Signal Processing.

Provable Self-Representation Based Outlier Detection in a Union of Subspaces

Daniel P. Robinson, René Vidal, Chong You, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Structured Sparse Subspace Clustering: A Joint Affinity Learning and Subspace Clustering Framework

René Vidal, Chong You, Chun-Guang Li, 2016, IEEE Transactions on Image Processing.

Structured Sparse Subspace Clustering: A unified optimization framework

René Vidal, Chun-Guang Li, R. Vidal, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Low rank subspace clustering (LRSC)

René Vidal, Paolo Favaro, R. Vidal, 2014, Pattern Recognit. Lett..

A closed form solution to robust subspace estimation and clustering

René Vidal, Avinash Ravichandran, Paolo Favaro, 2011, CVPR 2011.

Generalized principal component analysis (GPCA)

S. Shankar Sastry, René Vidal, Yi Ma, 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Generalized Principal Component Analysis

S. Shankar Sastry, René Vidal, Yi Ma, 2016, Interdisciplinary applied mathematics.

See all by looking at a few: Sparse modeling for finding representative objects

Guillermo Sapiro, René Vidal, Ehsan Elhamifar, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Joint spatial‐angular sparse coding for dMRI with separable dictionaries

René Vidal, Evan Schwab, Nicolas Charon, 2018, Medical Image Anal..

Separable Dictionary Learning with Global Optimality and Applications to Diffusion MRI pdf

René Vidal, Benjamin D. Haeffele, Evan Schwab, 2018, ArXiv.

Efficient Global Spatial-Angular Sparse Coding for Diffusion MRI with Separable Dictionaries pdf

René Vidal, Evan Schwab, Nicolas Charon, 2016, ArXiv.

Spatial-Angular Sparse Coding for HARDI

René Vidal, Evan Schwab, Nicolas Charon, 2016, MICCAI.

Temporal Convolutional Networks for Action Segmentation and Detection

Gregory D. Hager, Austin Reiter, René Vidal, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Clustering and dimensionality reduction on Riemannian manifolds

René Vidal, Alvina Goh, R. Vidal, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Optimal motion estimation from multiview normalized epipolar constraint

Yi Ma, R. Vidal, S. Sastry, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

Temporal Convolutional Networks: A Unified Approach to Action Segmentation pdf

Gregory D. Hager, Austin Reiter, René Vidal, 2016, ECCV Workshops.

ARCS: Accurate Rotation and Correspondence Search

R. Vidal, M. Tsakiris, Liangzu Peng, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Dual Principal Component Pursuit: Probability Analysis and Efficient Algorithms pdf

Daniel P. Robinson, René Vidal, Zhihui Zhu, 2018, ArXiv.

Theoretical Analysis of Sparse Subspace Clustering with Missing Entries pdf

René Vidal, Manolis C. Tsakiris, R. Vidal, 2018, ICML.

The fastest $\ell_{1,\infty}$ prox in the west

Ren'e Vidal, Benjam'in B'ejar, Ivan Dokmani'c, 2019, 1910.03749.

The fastest 𝓁1, ∞ prox in the west pdf

Ivan Dokmanic, René Vidal, Benjamín Béjar Haro, 2019, ArXiv.

Multiframe Motion Segmentation with Missing Data Using PowerFactorization and GPCA

René Vidal, Roberto Tron, Richard I. Hartley, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Scalable Exemplar-based Subspace Clustering on Class-Imbalanced Data

Daniel P. Robinson, René Vidal, Chong You, 2018, ECCV 2018.

Observability of Linear Hybrid Systems

S. Shankar Sastry, Stefano Soatto, René Vidal, 2003, HSCC.

A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery

Gregory D. Hager, Narges Ahmidi, René Vidal, 2017, IEEE Transactions on Biomedical Engineering.

Efficient Reconstruction of Holographic Lens-Free Images by Sparse Phase Recovery

René Vidal, Geert Vanmeerbeeck, Benjamin D. Haeffele, 2017, MICCAI.

Surgical Gesture Classification from Video Data

René Vidal, Luca Zappella, Benjamín Béjar Haro, 2012, MICCAI.

Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit

Daniel P. Robinson, René Vidal, Chong You, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Sparse Subspace Clustering by Orthogonal Matching Pursuit pdf

René Vidal, Chong You, R. Vidal, 2015, ArXiv.

Berkeley MHAD: A comprehensive Multimodal Human Action Database

Ruzena Bajcsy, René Vidal, Gregorij Kurillo, 2013, 2013 IEEE Workshop on Applications of Computer Vision (WACV).

Algebraic Clustering of Affine Subspaces

René Vidal, Manolis C. Tsakiris, R. Vidal, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

René Vidal, Yi Ma, Roberto Tron, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Motion segmentation via robust subspace separation in the presence of outlying, incomplete, or corrupted trajectories

René Vidal, Yi Ma, Roberto Tron, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Camera Self-Calibration: Geometry and Algorithms

S. Shankar Sastry, René Vidal, Jana Kosecka, 1999 .

Minimum effective dimension for mixtures of subspaces: a robust GPCA algorithm and its applications

Kun Huang, René Vidal, Yi Ma, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

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

René Vidal, Yi Ma, Yi Ma, 2004, ECCV.

Multiple view motion estimation and control for landing an unmanned aerial vehicle

S. Shankar Sastry, René Vidal, Yi Ma, 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

P-brush: Continuous valued MRFs with normed pairwise distributions for image segmentation

Leo Grady, René Vidal, Dheeraj Singaraju, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Sparse Manifold Clustering and Embedding

René Vidal, Ehsan Elhamifar, R. Vidal, 2011, NIPS.

Learning a Self-Expressive Network for Subspace Clustering

René Vidal, Chong You, Chun-Guang Li, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Analysis of the Structure of Surgical Activity for a Suturing and Knot-Tying Task

Narges Ahmidi, Sanjeev Khudanpur, Yixin Gao, 2016, PloS one.

Nonconvex Robust Low-rank Matrix Recovery

Xiao Li, René Vidal, Anthony Man-Cho So, 2018, SIAM J. Optim..

A Game Theoretic Analysis of Additive Adversarial Attacks and Defenses

R. Vidal, Ambar Pal, 2020, Neural Information Processing Systems.

Binet-Cauchy Kernels on Dynamical Systems and its Application to the Analysis of Dynamic Scenes

Alexander J. Smola, René Vidal, S. V. N. Vishwanathan, 2007, International Journal of Computer Vision.

Monocular Object Orientation Estimation using Riemannian Regression and Classification Networks pdf

René Vidal, Haider Ali, Siddharth Mahendran, 2018, ArXiv.

Distributed Consensus Algorithms for Image-Based Localization in Camera Sensor Networks

Andreas Terzis, René Vidal, Roberto Tron, 2011 .

Perspective Nonrigid Shape and Motion Recovery

René Vidal, Richard I. Hartley, R. Vidal, 2008, ECCV.

Projective Factorization of Multiple Rigid-Body Motions

René Vidal, Vinutha Kallem, Ting Li, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Rank Conditions on the Multiple-View Matrix

S. Shankar Sastry, Kun Huang, René Vidal, 2004, International Journal of Computer Vision.

Corrective consensus: Converging to the exact average

Yin Chen, Andreas Terzis, René Vidal, 2010, 49th IEEE Conference on Decision and Control (CDC).

Distributed 3-D Localization of Camera Sensor Networks From 2-D Image Measurements

René Vidal, Roberto Tron, R. Vidal, 2014, IEEE Transactions on Automatic Control.

Noisy Dual Principal Component Pursuit

Daniel P. Robinson, René Vidal, Zhihui Zhu, 2019, ICML.

Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms

Daniel P. Robinson, René Vidal, Zhihui Zhu, 2018, NeurIPS.

A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning

Daniel P. Robinson, Zhihui Zhu, René Vidal, 2019, NeurIPS.

Dual Principal Component Pursuit

René Vidal, Manolis C. Tsakiris, R. Vidal, 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).

Nonlinear hybrid system identification with kernel models

René Vidal, Gérard Bloch, Fabien Lauer, 2010, 49th IEEE Conference on Decision and Control (CDC).

A product-of-errors framework for linear hybrid system identification

René Vidal, Gérard Bloch, Fabien Lauer, 2009 .

On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks

Enrique Mallada, Hancheng Min, Rene Vidal, 2021, ICML.

Dropout as a Low-Rank Regularizer for Matrix Factorization

René Vidal, Vittorio Murino, Jacopo Cavazza, 2017, AISTATS.

Segmenting Motions of Different Types by Unsupervised Manifold Clustering

René Vidal, Alvina Goh, R. Vidal, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Introduction to the Issue on Robust Subspace Learning and Tracking: Theory, Algorithms, and Applications

René Vidal, Namrata Vaswani, Thierry Bouwmans, 2018, IEEE J. Sel. Top. Signal Process..

Segmental Spatiotemporal CNNs for Fine-Grained Action Segmentation

Gregory D. Hager, Austin Reiter, René Vidal, 2016, ECCV.

Reverse Engineering 𝓁p attacks: A block-sparse optimization approach with recovery guarantees

Paris V. Giampouras, R. Vidal, D. Thaker, 2022, ICML.

Self-Representation Based Unsupervised Exemplar Selection in a Union of Subspaces

Daniel P. Robinson, Chong You, Rene Vidal, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Global Optimality in Tensor Factorization, Deep Learning, and Beyond pdf

René Vidal, Benjamin D. Haeffele, B. Haeffele, 2015, ArXiv.

3D Pose Regression Using Convolutional Neural Networks

René Vidal, Haider Ali, Siddharth Mahendran, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Learning convolutional action primitives for fine-grained action recognition

Gregory D. Hager, René Vidal, Colin Lea, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

End-to-End Fine-Grained Action Segmentation and Recognition Using Conditional Random Field Models and Discriminative Sparse Coding

René Vidal, Shahin Sefati, Haider Ali, 2018, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).

A Structured Sparse Plus Structured Low-Rank Framework for Subspace Clustering and Completion

René Vidal, Chun-Guang Li, R. Vidal, 2016, IEEE Transactions on Signal Processing.

Clustering disjoint subspaces via sparse representation

René Vidal, Ehsan Elhamifar, R. Vidal, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Curriculum Dropout

René Vidal, Vittorio Murino, Riccardo Volpi, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Moving Poselets: A Discriminative and Interpretable Skeletal Motion Representation for Action Recognition

René Vidal, Lingling Tao, R. Vidal, 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).

Recursive identification of switched ARX systems

René Vidal, R. Vidal, 2008, Autom..

Online Clustering of Moving Hyperplanes

René Vidal, R. Vidal, 2006, NIPS.

A nonparametric Riemannian framework for processing high angular resolution diffusion images and its applications to ODF-based morphometry

Christophe Lenglet, Paul M. Thompson, René Vidal, 2011, NeuroImage.

Segmentation of High Angular Resolution Diffusion MRI Using Sparse Riemannian Manifold Clustering

Paul M. Thompson, René Vidal, Hasan Ertan Çetingül, 2014, IEEE Transactions on Medical Imaging.

Rotation Invariant Features for HARDI

René Vidal, Bijan Afsari, Hasan Ertan Çetingül, 2013, IPMI.

Estimating Orientation Distribution Functions with Probability Density Constraints and Spatial Regularity

Christophe Lenglet, Paul M. Thompson, René Vidal, 2009, MICCAI.

Realization Theory for a Class of Stochastic Bilinear Systems

René Vidal, Mihály Petreczky, R. Vidal, 2018, IEEE Transactions on Automatic Control.

Metrics and Topology for Nonlinear and Hybrid Systems

René Vidal, Mihály Petreczky, R. Vidal, 2007, HSCC.

Probabilistic pursuit-evasion games: theory, implementation, and experimental evaluation

S. Shankar Sastry, H. Jin Kim, René Vidal, 2002, IEEE Trans. Robotics Autom..

Group Action Induced Distances on Spaces of High-Dimensional Linear Stochastic Processes

René Vidal, Bijan Afsari, R. Vidal, 2013, GSI.

Formation control of nonholonomic mobile robots with omnidirectional visual servoing and motion segmentation

S. Shankar Sastry, René Vidal, Omid Shakernia, 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

Lifelong Computing pdf

Danny Weyns, Thomas Bäck, René Vidal, 2021, ArXiv.

A hierarchical approach to probabilistic pursuit-evasion games with unmanned ground and aerial vehicles

René Vidal, S. Shankar Sastry, David Hyunchul Shim, 2001, Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228).

Hyperplane Clustering via Dual Principal Component Pursuit

René Vidal, Manolis C. Tsakiris, R. Vidal, 2017, ICML.

Is an Affine Constraint Needed for Affine Subspace Clustering?

Daniel P. Robinson, Chong You, René Vidal, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Three-View Multibody Structure from Motion

René Vidal, Richard I. Hartley, R. Vidal, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Intrinsic consensus on SO(3) with almost-global convergence

René Vidal, Roberto Tron, Bijan Afsari, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Nonrigid Shape and Motion from Multiple Perspective Views

René Vidal, Daniel Abretske, R. Vidal, 2006, ECCV.

Ieee Journal of Selected Topics in Signal Processing, Vol. X, No. X, Month 20xx 1 Latent Space Sparse and Low-rank Subspace Clustering

René Vidal, Vishal M. Patel, Hien Van Nguyen, 2022 .

Representation Learning on Visual-Symbolic Graphs for Video Understanding

R. Vidal, B. B. Haro, E. Mavroudi, 2019, ECCV.

Hypothesize and Bound: A Computational Focus of Attention Mechanism for Simultaneous N-D Segmentation, Pose Estimation and Classification Using Shape Priors

Diego Rother, Ren'e Vidal, Simon Schutz, 2011, 1104.2580.

A Computational Focus of Attention Mechanism to Process Shapes Efficiently: Theory pdf

René Vidal, Diego Rother, Simon Schütz, 2011, ArXiv.

Analysis and Extensions of Adversarial Training for Video Classification

R. Vidal, K. A. Kinfu, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

On the Regularization Properties of Structured Dropout

B. Haeffele, R. Vidal, Connor Lane, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Two-View Segmentation of Dynamic Scenes from the Multibody Fundamental Matrix

S. Shankar Sastry, Stefano Soatto, René Vidal, 2002 .

Adaptive Online k-Subspaces with Cooperative Re-Initialization

René Vidal, Connor Lane, Benjamin D. Haeffele, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

Segmental Spatio-Temporal CNNs for Fine-grained Action Segmentation and Classification

Gregory D. Hager, Austin Reiter, René Vidal, 2016, 1602.02995.

View-invariant dynamic texture recognition using a bag of dynamical systems

René Vidal, Arunkumar Ravichandran, Rizwan Chaudhry, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Categorizing Dynamic Textures Using a Bag of Dynamical Systems

René Vidal, Avinash Ravichandran, Rizwan Chaudhry, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

String Motif-Based Description of Tool Motion for Detecting Skill and Gestures in Robotic Surgery

Gregory D. Hager, Narges Ahmidi, René Vidal, 2013, MICCAI.

Model order reduction for discrete-time LTI systems using the alignment distance

René Vidal, Bijan Afsari, R. Vidal, 2015, 2015 American Control Conference (ACC).

Filtrated Algebraic Subspace Clustering

René Vidal, Manolis C. Tsakiris, R. Vidal, 2015, SIAM J. Imaging Sci..

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

René Vidal, Yi Ma, Yi Ma, 2006, Journal of Mathematical Imaging and Vision.

The Space of Multibody Fundamental Matrices: Rank, Geometry and Projection

René Vidal, Xiaodong Fan, R. Vidal, 2006, WDV.

Doubly Stochastic Subspace Clustering

B. Haeffele, R. Vidal, Derek Lim, 2020, ArXiv.

Structured Sparse Recovery via Convex Optimization pdf

René Vidal, Ehsan Elhamifar, R. Vidal, 2011, arXiv.org.

Sparsity in unions of subspaces for classification and clustering of high-dimensional data

René Vidal, Ehsan Elhamifar, R. Vidal, 2011, 2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

EPICARDIAL SEGMENTATION IN DYNAMIC CARDIAC MR SEQUENCES USING PRIORS ON SHAPE, INTENSITY, AND DYNAMICS, IN A LEVEL SET FRAMEWORK

René Vidal, Atiyeh Ghoreyshi, R. Vidal, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Segmenting Dynamic Textures with Ising Descriptors, ARX Models and Level Sets

René Vidal, Atiyeh Ghoreyshi, R. Vidal, 2006, WDV.

Geometric Conditions for Subspace-Sparse Recovery

René Vidal, Chong You, R. Vidal, 2015, ICML.

Robust Homography Estimation via Dual Principal Component Pursuit

Daniel P. Robinson, Laurent Kneip, Zhihui Zhu, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

On the Implicit Bias of Dropout

R. Vidal, R. Arora, Poorya Mianjy, 2018, ICML.

An Analysis of Dropout for Matrix Factorization pdf

René Vidal, Vittorio Murino, Jacopo Cavazza, 2017, ArXiv.

A Mixed Classification-Regression Framework for 3D Pose Estimation from 2D Images pdf

René Vidal, Haider Ali, Siddharth Mahendran, 2018, BMVC.

Segmentation of circular casting defects using a robust algorithm

René Vidal, Domingo Mery, A. Ghoreyshi, 2005 .

Controlled Invariance of Discrete Time Systems

John Lygeros, S. Shankar Sastry, René Vidal, 2000, HSCC.

Abstract algebraic-geometric subspace clustering

René Vidal, Manolis C. Tsakiris, R. Vidal, 2014, 2014 48th Asilomar Conference on Signals, Systems and Computers.

Learning Shared , Discriminative Dictionaries for Surgical Gesture Segmentation and Classification

René Vidal, Noah J. Cowan, Shahin Sefati, 2015 .

What is the Largest Sparsity Pattern That Can Be Recovered by 1-Norm Minimization?

Daniel P. Robinson, Enrique Mallada, Mengnan Zhao, 2021, IEEE Transactions on Information Theory.

Generalized Nullspace Property for Structurally Sparse Signals

Daniel P. Robinson, R. Vidal, E. Mallada, 2019, ArXiv.

Sparse Recovery over Graph Incidence Matrices

Daniel P. Robinson, Enrique Mallada, Mengnan Zhao, 2018, 2018 IEEE Conference on Decision and Control (CDC).

Sparse Recovery over Graph Incidence Matrices: Polynomial Time Guarantees and Location Dependent Performance pdf

Daniel P. Robinson, Enrique Mallada, Mengnan Zhao, 2018, ArXiv.

Dropout as a Low-Rank Regularizer for Matrix Factorization

B. Haeffele, R. Vidal, Vittorio Murino, 2017, AISTATS.

Basis Pursuit and Orthogonal Matching Pursuit for Subspace-preserving Recovery: Theoretical Analysis pdf

Daniel P. Robinson, Chong You, Rene Vidal, 2019, ArXiv.

Sparse Subspace Clustering: Algorithm, Theory, and Applications

R. Vidal, Ehsan Elhamifar, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Optical flow estimation & segmentation of multiple moving dynamic textures

René Vidal, Avinash Ravichandran, R. Vidal, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Unsupervised Riemannian Clustering of Probability Density Functions

René Vidal, Alvina Goh, R. Vidal, 2008, ECML/PKDD.

Accelerated corrective consensus: Converge to the exact average at a faster rate

Andreas Terzis, Yin Chen, Roberto Tron, 2011, Proceedings of the 2011 American Control Conference.

Fast Jacobi-type algorithm for computing distances between linear dynamical systems

René Vidal, Nicolas D. Jimenez, Bijan Afsari, 2013, 2013 European Control Conference (ECC).

A Scalable Exemplar-Based Subspace Clustering Algorithm for Class-Imbalanced Data

Daniel P. Robinson, René Vidal, Chong You, 2018, ECCV.

CompactNets: Compact Hierarchical Compositional Networks for Visual Recognition

René Vidal, Hans Lobel, Alvaro Soto, 2020, Comput. Vis. Image Underst..

Dynamic Template Tracking and Recognition

R. Vidal, Gregory Hager, Rizwan Ahmed Chaudhry, 2012, International Journal of Computer Vision.

Distributed pose averaging in camera networks via consensus on SE(3)

Andreas Terzis, René Vidal, Roberto Tron, 2008, 2008 Second ACM/IEEE International Conference on Distributed Smart Cameras.

Estimation of Alpha Mattes for Multiple Image Layers

René Vidal, Dheeraj Singaraju, R. Vidal, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Interactive image matting for multiple layers

René Vidal, Dheeraj Singaraju, R. Vidal, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

A continuous optimization framework for hybrid system identification

René Vidal, Gérard Bloch, Fabien Lauer, 2011, Autom..

Structured Graph Variational Autoencoders for Indoor Furniture layout Generation

R. Vidal, D. Wipf, H. Arora, 2022, ArXiv.

Bundle Reduction and the Alignment Distance on Spaces of State-Space LTI Systems

René Vidal, Bijan Afsari, R. Vidal, 2017, IEEE Transactions on Automatic Control.

Distributed calibration of Camera Sensor Networks

René Vidal, Ehsan Elhamifar, R. Vidal, 2009, 2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC).

Applications of hybrid system identification in computer vision

Stefano Soatto, Alessandro Chiuso, Rene Vidal, 2007, 2007 European Control Conference (ECC).

Comparison of Four Procedures for the Identification of Hybrid Systems

W. P. M. H. Heemels, Simone Paoletti, René Vidal, 2005, HSCC.

Identification of Deterministic Switched ARX Systems via Identification of Algebraic Varieties

René Vidal, Yi Ma, Yi Ma, 2005, HSCC.

Removal of the twin image artifact in holographic lens-free imaging by sparse dictionary learning and coding

René Vidal, Lin Zhou, Benjamin D. Haeffele, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Sparse Dictionaries for Semantic Segmentation

René Vidal, Fatih Murat Porikli, Lingling Tao, 2014, ECCV.

Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models

B. Haeffele, R. Vidal, Y. Ma, 2023, ArXiv.

3D Pose Regression Using Convolutional Neural Networks

René Vidal, Haider Ali, Siddharth Mahendran, 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

Sparse Subspace Clustering with Missing Entries

Daniel P. Robinson, René Vidal, Congyuan Yang, 2015, ICML.

Distributed Computer Vision Algorithms

René Vidal, Roberto Tron, R. Vidal, 2011, IEEE Signal Processing Magazine.

Block-Sparse Recovery via Convex Optimization

R. Vidal, Ehsan Elhamifar, 2011, IEEE Transactions on Signal Processing.

Distributed image-based 3-D localization of camera sensor networks

René Vidal, Roberto Tron, R. Vidal, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Ieee Transactions on Pattern Analysis and Machine Intelligence 1 Learning Shared, Discriminative, and Compact Representations for Visual Recognition

R. Vidal, Á. Soto, Hans Lobel, 2022 .

Deep Moving Poselets for Video Based Action Recognition

René Vidal, Lingling Tao, Effrosyni Mavroudi, 2017, 2017 IEEE Winter Conference on Applications of Computer Vision (WACV).

Hierarchical Joint Max-Margin Learning of Mid and Top Level Representations for Visual Recognition

René Vidal, Hans Lobel, Alvaro Soto, 2013, 2013 IEEE International Conference on Computer Vision.

Joint Dictionary and Classifier Learning for Categorization of Images Using a Max-margin Framework

René Vidal, Domingo Mery, Hans Lobel, 2013, PSIVT.

Visual Dictionary Learning for Joint Object Categorization and Segmentation

René Vidal, Luca Zappella, Patrick McClure, 2012, ECCV.

Estimation of multimodal orientation distribution functions from cardiac MRI for tracking Purkinje fibers through branchings

René Vidal, Gernot Plank, Natalia A. Trayanova, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.