Vidal, Rene

Professor
Biomedical Engineering
http://www.cis.jhu.edu/~rvidal/

Clark Hall 302B
(410) 516-7306
rvidal@jhu.edu

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About

Education
  • Ph.D. 2003, Univ of California Berkeley
Experience
  • 2009 - 2009:  Program Chair, Program Chair, IEEE Workshop on Vision and Motion Computing
  • 2007 - 2007:  Program Chair, Program Chair, IEEE Pacific-Rim Symposium on Image and Video Technology
  • 2007 - 2007:  Area Chair, Area Chair, IEEE International Conference on Computer Vision
  • 2005 - 2005:  Area Chair, Area Chair, IEEE Conference on Computer Vision and Pattern Recognition
Research Areas
  • Binet-Cauchy kernels
  • Biomedial Imaging
  • COMPUTER vision
  • Camera self-calibration
  • Camera sensor networks
  • Classificaiton of dynamical systems
  • Compressive sensing
  • Computation of controlled invariant sets using semi-definite programming
  • Consensus on manifolds and distrubuted optimization
  • Coordination and control of multiple autonomous vehicles for pursuit-evasion games
  • Decidability analysis of the controlled invariance problem for discrete-time hybrid systems
  • Dynamic Boost
  • Dynamical Systems and Control
  • Dynamic scence analysis
  • Dynamic texture segmentation and recognition
  • Formation control of teams of non-holonomic robots
  • Generalized principal component analysis (GPCA)
  • Interactive medical image segmentation
  • Kernel GPCA
  • Locally linear manifold clustering (LLMC)
  • MACHINE learning
  • Manifold learning and clustering
  • Motion/video segmentation
  • Multiple view geometry, optimal motion estimation, and 3-D reconstruction
  • Multiple view motion estimation and control for landing an unmanned aerial vehicle
  • Non-rigid motionl analysis
  • Observability
  • Omnidirectional vision
  • Processing of high angular resolution diffusion imaging (HARDI)
  • Realization and Identification of hybrid systems
  • Recognition of human activities
  • Registration and segmentation of diffusion MRI
  • Robotics
  • SIGNAL processing
  • Segmentation and fiber tracking of cardiac MRI
  • Structure from motion
  • Subspace clustering
Awards
  • 2015:  Outstanding Reviewer Award
  • 2014:  IEEE Fellow
  • 2013:  Best Paper Award for paper entitled “Efficient Object Localization and Pose Estimation with 3D Wireframe Models," IEEE Workshop on 3D Representation and Recognition, 2013
  • 2013:  Best Paper Award for paper entitled “Joint Dictionary Learning for Categorization of Images using a Max-Margin Framework”, Pacific-Rim Symposium on Image and Video Technology, 2013
  • 2013:  Outstanding Reviewer Award, IEEE Conference on Computer Vision and Pattern Recognition, 2013
  • 2012:  Best Paper Award for paper entitled "Intrinsic Consensus on SO(3) with Almost-Global Convergence - " IEEE Conference on Decision and Control - 2012
  • 2012:  Best Paper Award in Medical Robotics and Computer Assisted Interventions for paper entitled 'Surgical Gesture Classification from Video Data' - MICCAI 2012
  • 2012:  J. K. Aggarwal Prize "for outstanding contributions to generalized principal component analysis (GPCA) and subspace clustering in computer vision and pattern recognition - " 2012
  • 2011:  Best Paper Award Finalist for paper entitled 'Average Consensus on Riemannian Manifolds with Bounded Curvature' - 50th IEEE Conference on Decision and Control - 2011
  • 2009:  Outstanding Reviewer Award - IEEE International Conference on Computer Vision - 2009
  • 2009:  Outstanding Reviewer Award - IEEE International Conference on Computer Vision - 2009
  • 2009:  Outstanding Reviewer Award - IEEE Conference on Computer Vision and Pattern Recognition - 2009
  • 2009:  Young Investigator Award - Office of Naval Research
  • 2009:  Sloan Research Fellowship - Alfred P. Sloan Foundation
  • 2009:  General Chairs' Recognition Award for Interactive Papers at the 48th IEEE Conference on Decision and Control - 2009
  • 2009:  General Chairs' Recognition Award for Interactive Papers at the 48th IEEE Conference on Decision and Control
  • 2008:  Outstanding Reviewer Award - IEEE Conference on Computer Vision and Pattern Recognition - 2008
  • 2007:  Johns Hopkins nominee for Microsoft New Faculty Award
  • 2006:  VIBOT Fellowship in Vision and Robotics
  • 2005:  CAREER Award - National Science Foundation
  • 2004:  David J. Sakrison Memorial Prize - University of California at Berkeley
  • 2004:  Best Paper Award Honorable Mention - European Conference on Computer Vision
  • 2003:  Eli Jury Award - University of California at Berkeley
  • 2002:  SSRP Continuation Award - NASA Ames
  • 1998:  Marcos Orrego Puelma Award - Institute of Engineers of Chile
  • 1996:  Dow Chemical Company Prize to the best M.Eng. student - Catholic University of Chile
  • 1991:  Award to the best student of the School of Engineering - Catholic University of Chile
Presentations
  • "Learning a Union of Subspaces from Big and Corrupted Data", Big Data PI Meeting.  Arlington, VA.  January 1, 2016
  • "Optimization and Parsimonious Modeling", IMA Workshop on Global Optimality in Matrix and Tensor Factorization.  January 1, 2016
  • "Globally Optimal Structured Low-Rank Matrix and Tensor Factorization", ICCV Workshop on Robust Subspace Learning and Computer Vision.  Santiago, Chile.  December 18, 2015
  • "Object Detection, Pose Estimation and Semantic Segmentation Using 3D Wireframe Models", ICCV Workshop on 3D Scene Understanding.  Santiago, Chile.  December 12, 2015
  • "Algebraic, Sparse and Low Rank Subspace Clustering", Iberoamerican Congress on Pattern Recognition.  Montevideo, Uruguay.  November 1, 2015
  • "Automatic Methods for the Interpretation of Visual Data".  October 26, 2015
  • "Subspace Arrangements in Vision and Learning", Meeting on Algebraic Vision.  Berlin, Germany.  October 11, 2015
  • "Algebraic, Sparse and Low Rank Subspace Clustering".  Boston. MA.  October 10, 2015
  • "Algebraic, Sparse and Low Rank Subspace Clustering", Symposium on Signal and Image Processing, and Computer Vision.  Bogota, Colombia.  September 1, 2015
  • "Algebraic, Sparse and Low Rank Subspace Clustering", International Computer Vision Summer School.  Sicily, Italy.  July 15, 2015
  • "Globally Optimal Factorizations and Deep Learning", Symposium on Data Science.  Shanghai, China.  June 28, 2015
  • "Discovering the Language of Surgery", CVPR Workshop on Medical Computer Vision.  Boston, MA.  June 15, 2015
  • "Automatic Methods for the Interpretation of Visual Data".  Baltimore, MD.  April 2, 2015
  • "Algebraic, Sparse and Low Rank Subspace Clustering", 1st Annual Workshop on Data Sciences.  April 1, 2015
  • "Globally Optimal Factorizations and Deep Learning", Conference on Computational Imaging and Vision.  KAUST, Saudi Arabia.  March 5, 2015
  • "Semantic (less) Motion and Video Segmentation", First International Workshop on Video Segmentation, European Conference in Computer Vision.  September 1, 2014
  • "Algebraic, Sparse and Low Rank Subspace Clustering.", Mathematical Image Analysis,.  Paris.  January 1, 2014
  • "Computer Vision Methods in Surgery and Neuroimaging", 3rd Annual Hopkins Imaging Conference.  Johns Hopkins University, Baltimore, MD.  November 1, 2013
  • "Sparse Modeling for Finding Data Exemplars", Computer Vision Workshop on See All by Looking at A Few.  Oxford University, Oxford UK.  August 1, 2013
  • "See All by Looking at A Few: Sparse Modeling for Finding Data Exemplars", Duke Workshop on Sensing and Analysis of High-Dimensional Data.  Duke University.  July 1, 2013
  • "Tokyo University, Tokyo, Japan", MICCAI Workshop on Discovering the Language of Surgery.  May 1, 2013
  • "Discovering the Language of Surgery", Computer Vision Workshop on Discovering the Language of Surgery.  University of Southern California.  February 1, 2013

Publications

Journal Articles
  • Li CG, You C, Vidal R (2018).  On Geometric Analysis of Affine Sparse Subspace Clustering.  IEEE Journal on Selected Topics in Signal Processing.
  • Tsakiris MC, Vidal R (2018).  Dual principal component pursuit.  Journal of Machine Learning Research.  19.
  • Schwab E, Vidal R, Charon N (2018).  Joint spatial-angular sparse coding for dMRI with separable dictionaries.  Medical Image Analysis.  48.
  • Jiang H, Robinson DP, Vidal R, You C (2018).  A nonconvex formulation for low rank subspace clustering: algorithms and convergence analysis.  Computational Optimization and Applications.  70(2).
  • Mavroudi E, Bhaskara D, Sefati S, Ali H, Vidal R (2018).  End-to-end fine-grained action segmentation and recognition using conditional random field models and discriminative sparse coding.  Proceedings - 2018 IEEE Winter Conference on Applications of Computer Vision, WACV 2018.  2018-January.
  • Qu W, Zhou G, Zhu H, Xiao Z, Wang Q, Vidal R (2018).  High angular resolution light field reconstruction with coded-aperture mask.  Proceedings - International Conference on Image Processing, ICIP.  2017-September.
  • Tsakiris MC, Vidal R (2018).  Algebraic Clustering of Affine Subspaces.  IEEE Transactions on Pattern Analysis and Machine Intelligence.  40(2).
  • Mahendran S, Ali H, Vidal R (2018).  3D Pose Regression Using Convolutional Neural Networks.  Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017.  2018-January.
  • Franca G, Robinson DP, Vidal R (2018).  ADMM and Accelerated ADMM as Continuous Dynamical Systems.  35th International Conference on Machine Learning, ICML 2018.  4.
  • Mianjy P, Arora R, Vidal R (2018).  On the implicit bias of dropout.  35th International Conference on Machine Learning, ICML 2018.  8.
  • You C, Li C, Robinson DP, Vidal R (2018).  A scalable exemplar-based subspace clustering algorithm for class-imbalanced data.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11213 LNCS.
  • Pacheco C, Vidal R (2018).  Recurrent neural networks for classifying human embryonic stem cell-derived cardiomyocytes.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  11070 LNCS.
  • Tsakiris MC, Vidal R (2018).  Theoretical analysis of sparse subspace clustering with missing entries.  35th International Conference on Machine Learning, ICML 2018.  11.
  • Petreczky M, Vidal R (2018).  Realization theory for a class of stochastic bilinear systems.  IEEE Transactions on Automatic Control.  63(1).
  • Morerio P, Cavazza J, Volpi R, Vidal R, Murino V (2017).  Curriculum Dropout.  Proceedings of the IEEE International Conference on Computer Vision.  2017-October.
  • Ikeuchi K, Schnörr C, Sivic J, Vidal R (2017).  Guest Editorial: Best Papers from ICCV 2015.  International Journal of Computer Vision.  125(1-3).
  • Lea C, Flynn MD, Vidal R, Reiter A, Hager GD (2017).  Temporal convolutional networks for action segmentation and detection.  Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017.  2017-January.
  • You C, Robinson DP, Vidal R (2017).  Provable self-representation based outlier detection in a union of subspaces.  Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017.  2017-January.
  • Haeffele BD, Vidal R (2017).  Global optimality in neural network training.  Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017.  2017-January.
  • Ahmidi N, Tao L, Sefati S, Gao Y, Lea C, Haro BB, Zappella L, Khudanpur S, Vidal R, Hager GD (2017).  A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery.  IEEE Transactions on Biomedical Engineering.  64(9).
  • Mahendran S, Ali H, Vidal R (2017).  3D Pose Regression Using Convolutional Neural Networks.  IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.  2017-July.
  • Afsari B, Vidal R (2017).  Bundle Reduction and the Alignment Distance on Spaces of State-Space LTI Systems.  IEEE Transactions on Automatic Control.  62(8).
  • Haeffele BD, Roth S, Zhou L, Vidal R (2017).  Removal of the twin image artifact in holographic lens-free imaging by sparse dictionary learning and coding.  Proceedings - International Symposium on Biomedical Imaging.
  • Yellin F, Haeffele BD, Vidal R (2017).  Blood cell detection and counting in holographic lens-free imaging by convolutional sparse dictionary learning and coding.  Proceedings - International Symposium on Biomedical Imaging.
  • Li CG, You C, Vidal R (2017).  Structured Sparse Subspace Clustering: A Joint Affinity Learning and Subspace Clustering Framework.  IEEE Transactions on Image Processing.  26(6).
  • Mavroudi E, Tao L, Vidal R (2017).  Deep moving poselets for video based action recognition.  Proceedings - 2017 IEEE Winter Conference on Applications of Computer Vision, WACV 2017.
  • You C, Donnat C, Robinson DP, Vidal R (2017).  A divide-and-conquer framework for large-scale subspace clustering.  Conference Record - Asilomar Conference on Signals, Systems and Computers.
  • Haeffele BD, Stahl R, Vanmeerbeeck G, Vidal R (2017).  Efficient reconstruction of holographic lens-free images by sparse phase recovery.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  10434 LNCS.
  • Tsakiris MC, Vidal R (2017).  Hyperplane clustering via dual principal component pursuit.  34th International Conference on Machine Learning, ICML 2017.  7.
  • Tsakiris MC, Vidal R (2017).  Filtrated algebraic subspace clustering.  SIAM Journal on Imaging Sciences.  10(1).
  • Li CG, Vidal R (2016).  A Structured Sparse Plus Structured Low-Rank Framework for Subspace Clustering and Completion.  IEEE Transactions on Signal Processing.  64(24).
  • Lea C, Vidal R, Hager GD (2016).  Learning convolutional action primitives for fine-grained action recognition.  Proceedings - IEEE International Conference on Robotics and Automation.  2016-June.
  • Vedula SS, Malpani AO, Tao L, Chen G, Gao Y, Poddar P, Ahmidi N, Paxton C, Vidal R, Khudanpur S, Hager GD, Chen CCG (2016).  Analysis of the structure of surgical activity for a suturing and knot-tying task.  PLoS ONE.  11(3).
  • Tao L, Vidal R (2016).  Moving Poselets: A Discriminative and Interpretable Skeletal Motion Representation for Action Recognition.  Proceedings of the IEEE International Conference on Computer Vision.  2016-February.
  • You C, Robinson DP, Vidal R (2016).  Scalable sparse subspace clustering by orthogonal matching pursuit.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  2016-January.
  • Schwab E, Yassa MA, Weiner M, Vidal R (2016).  Using automatic HARDI feature selection, registration, and atlas building to characterize the neuroanatomy of Aβ pathology.  Mathematics and Visualization.  none.
  • Lea C, Vidal R, Reiter A, Hager GD (2016).  Temporal convolutional networks: A unified approach to action segmentation.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9915 LNCS.
  • Lea C, Reiter A, Vidal R, Hager GD (2016).  Segmental spatiotemporal CNNs for fine-grained action segmentation.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9907 LNCS.
  • Schwab E, Vidal R, Charon N (2016).  Spatial-angular sparse coding for HARDI.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9902 LNCS.
  • You C, Li CG, Robinson DP, Vidal R (2016).  Oracle based active set algorithm for scalable elastic net subspace clustering.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  2016-January.
  • Lobel H, Vidal R, Soto A (2015).  Learning Shared, Discriminative, and Compact Representations for Visual Recognition.  IEEE Transactions on Pattern Analysis and Machine Intelligence.  37(11).
  • Li CG, Vidal R (2015).  Structured Sparse Subspace Clustering: A unified optimization framework.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  07-12-June-2015.
  • Sefati S, Cowan NJ, Vidal R (2015).  Linear systems with sparse inputs: Observability and input recovery.  Proceedings of the American Control Conference.  2015-July.
  • Patel VM, Nguyen HV, Vidal R (2015).  Latent space sparse and low-rank subspace clustering.  IEEE Journal on Selected Topics in Signal Processing.  9(4).
  • Vidal R, Patel V (2015).  Latent Space Sparse and Low-Rank Subspace Clustering.  IEEE Journal of Selected Topics in Signal Processing.
  • Bajcsy R, Hager G, Ma Y, Ikeuchi K, Schnörr C, Sivic J, Vidal R (2015).  Message from the general chair and program chairs.  Proceedings of the IEEE International Conference on Computer Vision.  2015 International Conference on Computer Vision, ICCV 2015.
  • Tsakiris MC, Vidal R (2015).  Filtrated Spectral Algebraic Subspace Clustering.  Proceedings of the IEEE International Conference on Computer Vision.  2015-February.
  • Tsakiris MC, Vidal R (2015).  Dual Principal Component Pursuit.  Proceedings of the IEEE International Conference on Computer Vision.  2015-February.
  • Bajcsy R, Hager G, Ma Y, Ikeuchi K, Schnörr C, Sivic J, Vidal R (2015).  Message from the General Chair and Program Chairs.  Proceedings of the IEEE International Conference on Computer Vision.  2015-February.
  • Lea C, Hager GD, Vidal R (2015).  An improved model for segmentation and recognition of fine-grained activities with application to surgical training tasks.  Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015.
  • Lobel H, Vidal R, Soto A (2015).  Learning Shared, Discriminative, and Compact Representations for Visual Recognition.  IEEE Transactions on Pattern Analysis and Machine Intelligence.  (99).
  • Tsakiris MC, Vidal R (2015).  Abstract algebraic-geometric subspace clustering.  Conference Record - Asilomar Conference on Signals, Systems and Computers.  2015-April.
  • You C, Vidal R (2015).  Geometric conditions for subspace-sparse recovery.  32nd International Conference on Machine Learning, ICML 2015.  2.
  • Afsari B, Vidal R (2015).  Model order reduction for discrete-time LTI systems using the alignment distance.  Proceedings of the American Control Conference.  2015-July.
  • Yang C, Robinson D, Vidal R (2015).  Sparse subspace clustering with missing entries.  32nd International Conference on Machine Learning, ICML 2015.  3.
  • Vidal R, Favaro P (2014).  Low rank subspace clustering (LRSC).  Pattern Recognition Letters.  43(1).
  • Cetingul HE, Wright MJ, Thompson PM, Vidal R (2014).  Segmentation of high angular resolution diffusion MRI using sparse riemannian manifold clustering.  IEEE Transactions on Medical Imaging.  33(2).
  • Patel VM, Vidal R (2014).  Kernel sparse subspace clustering.  2014 IEEE International Conference on Image Processing, ICIP 2014.
  • Lobel H, Vidal R, Mery D, Soto A (2014).  Joint dictionary and classifier learning for categorization of images using a max-margin framework.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8333 LNCS.
  • Tron R, Vidal R (2014).  Distributed 3-D localization of camera sensor networks from 2-D image measurements.  IEEE Transactions on Automatic Control.  59(12).
  • Tao L, Porikli F, Vidal R (2014).  Sparse dictionaries for semantic segmentation.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8693 LNCS(PART 5).
  • Wolfers S, Schwab E, Vidal R (2014).  Nonnegative odf estimation via optimal constraint selection.  2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014.
  • Gorospe G, Zhu R, Millrod MA, Zambidis ET, Tung L, Vidal R (2014).  Automated grouping of action potentials of human embryonic stem cell-derived cardiomyocytes.  IEEE Transactions on Biomedical Engineering.  61(9).
  • Ofli F, Chaudhry R, Kurillo G, Vidal R, Bajcsy R (2014).  Sequence of the most informative joints (SMIJ): A new representation for human skeletal action recognition.  Journal of Visual Communication and Image Representation.  25(1).
  • Haeffele BD, Young ED, Vidal R (2014).  Structured low-rank matrix factorization: Optimality, algorithm, and applications to image processing.  31st International Conference on Machine Learning, ICML 2014.  5.
  • Rother D, Mahendran S, Vidal R (2014).  Hypothesize and Bound: A Computational Focus of Attention Mechanism for Simultaneous 3D Shape Reconstruction.  International Journal of Computer Vision.
  • Ofli F, Chaudhry R, Kurillo G, Vidal R, Bajcsy R (2014).  Sequence of the Most Informative Joints (SMIJ): A New Representation for Human Skeletal Action Recognition.  Journal of Visual Communication and Image Representation.  25(1).  24-38.
  • Tron R, Vidal R (2014).  Distributed 3-D Localization of Camera Sensor Networks From 2-D Image Measurements.  IEEE Transactions on Automatic Control.  59(12).  3325-3340.
  • Ravichandran A, Favaro P, Vidal R (2014).  A Unified Approach to Segmentation and Categorization of Dynamic Textures.  International Journal of Computer Vision.
  • Rother D, Schütz S, Vidal R (2014).  Hypothesize and Bound: A Computational Focus of Attention Mechanism for Simultaneous N-D Segmentation, Pose Estimation and Classification Using Shape Priors.  International Journal of Computer Vision.
  • Cetingul HE, Wright M, Thompson P, Vidal R (2014).  Segmentation of High Angular Resolution Diffusion MRI using Sparse Riemannian Manifold Clustering.  IEEE Transactions on Medical Imaging.  33(2).  301-317.
  • Gorospe G, Zhu R, Millrod M, Zambidis E, Tung L, Vidal R (2014).  Automated Grouping of Action Potentials of Human Embryonic Stem Cell-Derived Cardiomyocytes.  IEEE Transactions on Biomedical Engineering.  61(9).  2389-2395.
  • Vidal R, Favaro P (2014).  Low Rank Subspace Clustering (LRSC).  Pattern Recognition Letters.  43.  47-61.
  • Gorospe G, Younes L, Tung L, Vidal R (2013).  A metamorphosis distance for embryonic cardiac action potential interpolation and classification..  Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention.  16(Pt 1).
  • Jimenez ND, Afsari B, Vidal R (2013).  Fast Jacobi-type algorithm for computing distances between linear dynamical systems.  2013 European Control Conference, ECC 2013.
  • Tao L, Zappella L, Hager GD, Vidal R (2013).  Surgical gesture segmentation and recognition..  Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention.  16(Pt 3).
  • Ahmidi N, Gao Y, Béjar B, Vedula SS, Khudanpur S, Vidal R, Hager GD (2013).  String motif-based description of tool motion for detecting skill and gestures in robotic surgery..  Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention.  16(Pt 1).
  • Tao L, Zappella L, Hager GD, Vidal R (2013).  Surgical gesture segmentation and recognition.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8151 LNCS(PART 3).
  • Gorospe G, Younes L, Tung L, Vidal R (2013).  A metamorphosis distance for embryonic cardiac action potential interpolation and classification.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8149 LNCS(PART 1).
  • Ahmidi N, Gao Y, Béjar B, Vedula SS, Khudanpur S, Vidal R, Hager GD (2013).  String motif-based description of tool motion for detecting skill and gestures in robotic surgery.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8149 LNCS(PART 1).
  • Afsari B, Vidal R (2013).  Group action induced distances on spaces of high-dimensional linear stochastic processes.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8085 LNCS.
  • Chaudhry R, Ofli F, Kurillo G, Bajcsy R, Vidal R (2013).  Bio-inspired dynamic 3D discriminative skeletal features for human action recognition.  IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.
  • Afsari B, Tron R, Vidal R (2013).  On the convergence of gradient descent for finding the riemannian center of mass.  SIAM Journal on Control and Optimization.  51(3).
  • Chaudhry R, Hager G, Vidal R (2013).  Dynamic template tracking and recognition.  International Journal of Computer Vision.  105(1).
  • Zappella L, Béjar B, Hager G, Vidal R (2013).  Surgical gesture classification from video and kinematic data.  Medical Image Analysis.  17(7).
  • Elhamifar E, Vidal R (2013).  Sparse subspace clustering: Algorithm, theory, and applications.  IEEE Transactions on Pattern Analysis and Machine Intelligence.  35(11).
  • Schwab E, Çetingül HE, Afsari B, Yassa MA, Vidal R (2013).  Rotation invariant features for HARDI.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  7917 LNCS.
  • Tron R, Afsari B, Vidal R (2013).  Riemannian consensus for manifolds with bounded curvature.  IEEE Transactions on Automatic Control.  58(4).
  • Ofli F, Chaudhry R, Kurillo G, Vidal R, Bajcsy R (2013).  Berkeley MHAD: A comprehensive Multimodal Human Action Database.  Proceedings of IEEE Workshop on Applications of Computer Vision.
  • Ravichandran A, Chaudhry R, Vidal R (2013).  Categorizing dynamic textures using a bag of dynamical systems.  IEEE Transactions on Pattern Analysis and Machine Intelligence.  35(2).
  • Afsari B, Vidal R (2013).  The alignment distance on spaces of Linear Dynamical Systems.  Proceedings of the IEEE Conference on Decision and Control.
  • Elhamifar E, Vidal R (2013).  Sparse Subspace Clustering: Algorithm, Theory, and Applications.  IEEE Transactions on Pattern Analysis and Machine Intelligence.  35(11).  2765-2781.
  • Ravichandran A, Chaudhry R, Vidal R (2013).  Categorizing Dynamic Textures using a Bag of Dynamical Systems.  IEEE Transactions on Pattern Analysis and Machine Intelligence.  35(2).  342-353.
  • Chaudhry R, Hager G, Vidal R (2013).  Dynamic Template Tracking and Recognition.  International Journal of Computer Vision.  105(1).  19-48.
  • Afsari B, Tron R, Vidal R (2013).  On the Convergence of Gradient Descent for Locating the Riemmanian Center of Mass.  SIAM Journal on Control and Optimization.  51(3).  2230-2260.
  • Patel VM, Nguyen HV, Vidal R (2013).  Latent space sparse subspace clustering.  Proceedings of the IEEE International Conference on Computer Vision.
  • Lobel H, Vidal R, Soto A (2013).  Hierarchical joint max-margin learning of mid and top level representations for visual recognition.  Proceedings of the IEEE International Conference on Computer Vision.
  • Schwab E, Cetingül HE, Afsari B, Vidal R (2013).  Rotation invariant features for HARDI..  Information processing in medical imaging : proceedings of the ... conference.  23.
  • Chaudhry R, Vidal R (2013).  Initial-state invariant binet-cauchy kernels for the comparison of linear dynamical systems.  Proceedings of the IEEE Conference on Decision and Control.
  • Tron R, Afsari B, Vidal R (2013).  Riemannian Consensus for Manifolds with Bounded Curvature.  IEEE Transactions on Automatic Control.  58(4).  921-934.
  • Zappella L, Béjar B, Hager G, Vidal R (2013).  Surgical Gesture Classification from Video and Kinematic data.  Medical Image Analysis.  17(7).  732-745.
  • Jain A, Chatterjee S, Vidal R (2013).  Coarse-to-fine semantic video segmentation using supervoxel trees.  Proceedings of the IEEE International Conference on Computer Vision.
  • Gorospe G, Younes L, Tung L, Vidal R (2013).  A metamorphosis distance for embryonic cardiac action potential interpolation and classification..  Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention.  16(Pt 1).  469-76.
  • Yörük E, Vidal R (2013).  Efficient object localization and pose estimation with 3D wireframe models.  Proceedings of the IEEE International Conference on Computer Vision.
  • Ahmidi N, Gao Y, Béjar B, Vedula S, Khudanpur S, Vidal R, Hager G (2013).  String motif-based description of tool motion for detecting skill and gestures in robotic surgery..  Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention.  16(Pt 1).  26-33.
  • Elhamifar E, Sapiro G, Vidal R (2012).  Finding exemplars from pairwise dissimilarities via simultaneous sparse recovery.  Advances in Neural Information Processing Systems.  1.
  • Schwab E, Afsari B, Vidal R (2012).  Estimation of non-negative ODFs using the eigenvalue distribution of spherical functions..  Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention.  15(Pt 2).
  • Haro BB, Zappella L, Vidal R (2012).  Surgical gesture classification from video data..  Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention.  15(Pt 1).
  • Jain A, Zappella L, McClure P, Vidal R (2012).  Visual dictionary learning for joint object categorization and segmentation.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  7576 LNCS(PART 5).
  • Afsari B, Chaudhry R, Ravichandran A, Vidal R (2012).  Group action induced distances for averaging and clustering linear dynamical systems with applications to the analysis of dynamic scenes.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
  • Elhamifar E, Sapiro G, Vidal R (2012).  See all by looking at a few: Sparse modeling for finding representative objects.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
  • Ofli F, Chaudhry R, Kurillo G, Vidal R, Bajcsy R (2012).  Sequence of the Most Informative Joints (SMIJ): A new representation for human skeletal action recognition.  IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.
  • Çetingül HE, Afsari B, Wright MJ, Thompson PM, Vidal R (2012).  Group action induced averaging for HARDI processing.  Proceedings - International Symposium on Biomedical Imaging.
  • Çetingul HE, Afsari B, Vidal R (2012).  An algebraic solution to rotation recovery in HARDI from correspondences of orientation distribution functions.  Proceedings - International Symposium on Biomedical Imaging.
  • Tao L, Elhamifar E, Khudanpur S, Hager GD, Vidal R (2012).  Sparse hidden Markov models for surgical gesture classification and skill evaluation.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  7330 LNCS.
  • Elhamifar E, Vidal R (2012).  Block-sparse recovery via convex optimization.  IEEE Transactions on Signal Processing.  60(8).
  • Elhamifar E, Vidal R (2012).  Block-Sparse Recovery via Convex Optimization.  IEEE Transactions on Signal Processing.  60(8).  4094-4107.
  • Schwab E, Afsari B, Vidal R (2012).  Estimation of non-negative ODFs using the eigenvalue distribution of spherical functions.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  7511 LNCS.
  • Béjar Haro B, Zappella L, Vidal R (2012).  Surgical gesture classification from video data.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  7510 LNCS.
  • Perrone D, Ravichandran A, Vidal R, Favaro P (2012).  Image priors for image deblurring with uncertain blur.  BMVC 2012 - Electronic Proceedings of the British Machine Vision Conference 2012.
  • Tron R, Afsari B, Vidal R (2011).  Average consensus on Riemannian manifolds with bounded curvature.  Proceedings of the IEEE Conference on Decision and Control.
  • Rother D, Vidal R (2011).  A hypothesize-and-bound algorithm for simultaneous object classification, pose estimation and 3D reconstruction from a single 2D image.  Proceedings of the IEEE International Conference on Computer Vision.
  • Elhamifar E, Vidal R (2011).  Sparse manifold clustering and embedding.  Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011.
  • Elhamifar E, Vidal R (2011).  Sparsity in unions of subspaces for classification and clustering of high-dimensional data.  2011 49th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2011.
  • Chen Y, Tron R, Terzis A, Vidal R (2011).  Corrective consensus with asymmetric wireless links.  Proceedings of the IEEE Conference on Decision and Control.
  • Çetingul HE, Vidal R (2011).  Sparse Riemannian manifold clustering for HARDI segmentation.  Proceedings - International Symposium on Biomedical Imaging.
  • Chen Y, Tron R, Terzis A, Vidal R (2011).  Accelerated corrective consensus: Converge to the exact average at a faster rate.  Proceedings of the American Control Conference.
  • Tron R, Vidal R (2011).  Distributed computer vision algorithms through distributed averaging.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
  • Elhamifar E, Vidal R (2011).  Robust classification using structured sparse representation.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
  • Singaraju D, Vidal R (2011).  Using global bag of features models in random fields for joint categorization and segmentation of objects.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
  • Favaro P, Vidal R, Ravichandran A (2011).  A closed form solution to robust subspace estimation and clustering.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
  • Singaraju D, Vidal R (2011).  Estimation of Alpha Mattes for Multiple Layers.  IEEE Transactions on Pattern Analysis and Machine Intelligence.  33(7).  1295-1309.
  • Çetingül HE, Plank G, Trayanova NA, Vidal R (2011).  Estimation of local orientations in fibrous structures with applications to the purkinje system.  IEEE Transactions on Biomedical Engineering.  58(6).
  • Goh A, Lenglet C, Thompson PM, Vidal R (2011).  A nonparametric Riemannian framework for processing high angular resolution diffusion images and its applications to ODF-based morphometry.  NeuroImage.  56(3).
  • Singaraju D, Vidal R (2011).  Estimation of alpha mattes for multiple image layers.  IEEE Transactions on Pattern Analysis and Machine Intelligence.  33(7).
  • Tron R, Vidal R (2011).  Distributed Computer Vision Algorithms.  IEEE Signal Processing Magazine.  28(2).  32-45.
  • Ravichandran A, Favaro P, Vidal R (2011).  A unified approach to segmentation and categorization of dynamic textures.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6492 LNCS(PART 1).
  • Lauer F, Bloch G, Vidal R (2011).  A continuous optimization framework for hybrid system identification.  Automatica.  47(3).
  • Vidal R (2011).  Subspace Clustering.  IEEE Signal Processing Magazine.  28(3).  52-68.
  • Lauer F, Bloch G, Vidal R (2011).  A Continuous Optimization Framework for Hybrid System Identification.  Automatica.  47(3).  608-613.
  • Cetingül HE, Plank G, Trayanova N, Vidal R (2011).  Estimation of Local Orientations in Fibrous Structures with Applications to the Purkinje System.  IEEE Transactions on Biomedical Engineering.  58(6).  1762-1772.
  • Goh A, Lenglet C, Thompson P, Vidal R (2011).  A Nonparametric Riemannian Framework for Processing High Angular Resolution Diffusion Images and its Applications to ODF-based Morphometry.  Neuroimage.  47(3).  608-613.
  • Ravichandran A, Vidal R (2011).  Video registration using dynamic textures.  IEEE Transactions on Pattern Analysis and Machine Intelligence.  33(1).
  • Vidal R (2011).  Subspace clustering.  IEEE Signal Processing Magazine.  28(2).
  • Ma Y, Niyogi P, Sapiro G, Vidal R (2011).  Dimensionality reduction via subspace and submanifold learning.  IEEE Signal Processing Magazine.  28(2).
  • Ravichandran A, Vidal R (2011).  Video Registration Using Dynamic Textures.  IEEE Transactions on Pattern Analysis and Machine Intelligence.  33(1).  158-171.
  • Tron R, Vidal R (2011).  Distributed computer vision algorithms.  IEEE Signal Processing Magazine.  28(3).
  • Chen Y, Tron R, Terzis A, Vidal R (2010).  Corrective consensus: Converging to the exact average.  Proceedings of the IEEE Conference on Decision and Control.
  • Li J, Elhamifar E, Wang IJ, Vidal R (2010).  Consensus with robustness to outliers via distributed optimization.  Proceedings of the IEEE Conference on Decision and Control.
  • Lauer F, Bloch G, Vidal R (2010).  Nonlinear hybrid system identification with kernel models.  Proceedings of the IEEE Conference on Decision and Control.
  • Elhamifar E, Vidal R (2010).  Clustering disjoint subspaces via sparse representation.  ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings.
  • Rao S, Tron R, Vidal R, Ma Y (2010).  Motion segmentation in the presence of outlying, incomplete, or corrupted trajectories.  IEEE Transactions on Pattern Analysis and Machine Intelligence.  32(10).
  • Jorstad A, Burlina P, Wang IJ, Lucarelli D, DeMenthon D, Tron R, Terzis A, Vidal R (2010).  Estimating the pose of an object in a distributed camera network.  Johns Hopkins APL Technical Digest (Applied Physics Laboratory).  28(3).
  • Goh A, Vidal R (2010).  Locally Linear Manifold Clustering (LLMC).  Journal of Machine Learning Research.
  • Goh A, Lenglet C, Thompson P, Vidal R (2010).  A Convex Framework for Estimation of Orientation Distribution Functions with Non-negativity Constraints and Spatial Regularity.  Medical Image Analysis.
  • Singaraju D, Grady L, Vidal R (2010).  Image Segmentation with Asymmetric Pairwise Penalties.  IEEE Transactions on Pattern Analysis and Machine Intelligence.
  • Rao S, Tron R, Vidal R, Ma Y (2010).  Motion Segmentation in the Presence of Outlying, Incomplete, or Corrupted Trajectories.  IEEE Transactions on Pattern Analysis and Machine Intelligence.  32(10).  1832-1845.
  • Elhamifar E, Vidal R (2009).  Distributed calibration of camera sensor networks.  2009 3rd ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2009.
  • Goh A, Lenglet C, Thompson PM, Vidal R (2009).  Estimating orientation distribution functions with probability density constraints and spatial regularity.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  5761 LNCS(PART 1).
  • Goh A, Lenglet C, Thompson PM, Vidal R (2009).  Estimating orientation distribution functions with probability density constraints and spatial regularity..  Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention.  12(Pt 1).
  • Lauer F, Vidal R, Bloch G (2009).  A product-of-errors framework for linear hybrid system identification.  IFAC Proceedings Volumes (IFAC-PapersOnline).  15(PART 1).
  • Tron R, Vidal R (2009).  Distributed image-based 3-D localization of camera sensor networks.  Proceedings of the IEEE Conference on Decision and Control.
  • Elhamifar E, Petreczky M, Vidal R (2009).  Rank tests for the observability of discrete-time jump linear systems with inputs.  Proceedings of the American Control Conference.
  • Çetingül HE, Plank G, Trayanova N, Vidal R (2009).  Estimation of multimodal orientation distribution functions from cardiac mri for tracking purkinje fibers through branchings.  Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009.
  • Goh A, Lenglet C, Thompson PM, Vidal R (2009).  A nonparametric riemannian framework for processing high angular resolution diffusion images (HARDI).  2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009.  2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
  • Çetingül HE, Vidal R (2009).  Intrinsic mean shift for clustering on Stiefel and Grassmann manifolds.  2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009.  2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
  • Ravichandran A, Chaudhry R, Vidal R (2009).  View-invariant dynamic texture recognition using a bag of dynamical systems.  2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009.  2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
  • Elhamifar E, Vidal R (2009).  Sparse subspace clustering.  2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009.  2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
  • Chaudhry R, Ravichandran A, Hager G, Vidal R (2009).  Histograms of oriented optical flow and Binet-Cauchy kernels on nonlinear dynamical systems for the recognition of human actions.  2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009.  2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
  • Singaraju D, Grady L, Vidal R (2009).  P-Brush: Continuous valued MRFs with normed pairwise distributions for image segmentation.  2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009.  2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
  • Tron R, Vidal R, Terzis A (2008).  Distributed pose averaging in camera networks via consensus on SE(3).  2008 2nd ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2008.
  • Goh A, Vidal R (2008).  Segmenting fiber bundles in diffusion tensor images.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  5304 LNCS(PART 3).
  • Ravichandran A, Vidal R (2008).  Video registration using dynamic textures.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  5303 LNCS(PART 2).
  • Petreczky M, Vidal R (2008).  Realization theory for discrete-time semi-algebraic hybrid systems.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4981 LNCS.
  • Bako L, Vidal R (2008).  Algebraic identification of MIMO SARX models.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4981 LNCS.
  • Hartley R, Vidal R (2008).  Perspective nonrigid shape and motion recovery.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  5302 LNCS(PART 1).
  • Goh A, Vidal R (2008).  Unsupervised riemannian clustering of probability density functions.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  5211 LNAI(PART 1).
  • Rao SR, Tron R, Vidal R, Ma Y (2008).  Motion segmentation via robust subspace separation in the presence of outlying, incomplete, or corrupted trajectories.  26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR.
  • Goh A, Vidal R (2008).  Clustering and dimensionality reduction on Riemannian manifolds.  26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR.
  • Singaraju D, Grady L, Vidal R (2008).  Interactive image segmentation via minimization of quadratic energies on directed graphs.  26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR.
  • Singaraju D, Vidal R (2008).  Interactive image matting for multiple layers.  26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR.
  • Çetingül HE, Vidal R, Plank G, Trayanova N (2008).  Nonlinear filtering for extracting orientation and tracing tubular structures in 2-D medical images.  2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI.
  • Vidal R (2008).  Recursive Identification of Switched ARX Systems.  Automatica.  44(9).  2274-2287.
  • Vidal R (2008).  Recursive identification of switched ARX systems.  Automatica.  44(9).
  • Vidal R, Tron R, Hartley R (2008).  Multiframe motion segmentation with missing data using PowerFactorization and GPCA.  International Journal of Computer Vision.  79(1).
  • Vidal R, Tron R, Hartley R (2008).  Multiframe Motion Segmentation with Missing Data Using PowerFactorization and GPCA.  International Journal of Computer Vision.  79(1).  85-105.
  • Vidal R, Hartley R (2008).  Three-view multibody structure from motion.  IEEE Transactions on Pattern Analysis and Machine Intelligence.  30(2).
  • Vidal R, Hartley R (2008).  Three-View Multibody Structure from Motion.  IEEE Transactions on Pattern Analysis and Machine Intelligence.  30(2).  214-227.
  • Vidal R (2007).  Identification of spatial-temporal switched ARX systems.  Proceedings of the IEEE Conference on Decision and Control.
  • Ghoreyshi A, Vidal R (2007).  Segmenting dynamic textures with ising descriptors, ARX models and level sets.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4358 LNCS.
  • Petreczky M, Vidal R (2007).  Metrics and topology for nonlinear and hybrid systems.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4416 LNCS.
  • Fan X, Vidal R (2007).  The space of multibody fundamental matrices: Rank, geometry and projection.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4358 LNCS.
  • Petreczky M, Vidal R (2007).  Realization theory of stochastic jump-Markov linear systems.  Proceedings of the IEEE Conference on Decision and Control.
  • Vidal R, Favaro P (2007).  DynamicBoost: Boosting time series generated by dynamical systems.  Proceedings of the IEEE International Conference on Computer Vision.
  • Vidal R, Heyden A, Ma Y (2007).  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4358 LNCS.
  • Singaraju D, Vidal R (2007).  Direct segmentation of multiple 2-D motion models of different types.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4358 LNCS.
  • Vidal R (2007).  Online clustering of moving hyperplanes.  Advances in Neural Information Processing Systems.
  • Ghoreyshi A, Vidal R (2007).  Epicardial segmentation in dynamic cardiac MR sequences using priors on shape, intensity, and dynamics, in A level set Framework.  2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings.
  • Lit T, Kallem V, Singaraju D, Vidal R (2007).  Projective factorization of multiple rigid-body motions.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
  • Goh A, Vidal R (2007).  Segmenting motions of different types by unsupervised manifold clustering.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
  • Tron R, Vidal R (2007).  A benchmark for the comparison of 3-D motion segmentation algorithms.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
  • Vishwanathan SVN, Smola AJ, Vidal R (2007).  Binet-Cauchy kernels on dynamical systems and its application to the analysis of dynamic scenes.  International Journal of Computer Vision.  73(1).
  • Vishwanathan SV, Smola A, Vidal R (2007).  Binet-Cauchy Kernels on Dynamical Systems and its Application to the Analysis of Dynamic Scenes.  International Journal of Computer Vision.  73(1).  95-119.
  • Vidal R, Soatto S, Chiuso A (2007).  Applications of hybrid system identification in computer vision.  2007 European Control Conference, ECC 2007.
  • Paoletti S, Juloski AL, Ferrari-Trecate G, Vidal R (2007).  Identification of hybrid systems a tutorial.  European Journal of Control.  13(2-3).
  • Paoletti S, Juloski A, Ferrari-Trecate G, Vidal R (2007).  Identification of Hybrid Systems: A Tutorial.  European Journal of Control.  73(1).  242-260.
  • Le L, Vidal R (2006).  Combined central and subspace clustering for computer vision applications.  ACM International Conference Proceeding Series.  148.
  • Ravichandran A, Vidal R, Halperin H (2006).  Segmenting a beating heart using Polysegment and Spatial GPCA.  2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings.  2006.
  • Lu L, Vidal R (2006).  Combined central and subspace clustering for computer vision applications.  ICML 2006 - Proceedings of the 23rd International Conference on Machine Learning.  2006.
  • Vidal R, Ma Y (2006).  A unified algebraic approach to 2-D and 3-D motion segmentation and estimation.  Journal of Mathematical Imaging and Vision.  25(3).
  • Singaraju D, Vidai R (2006).  A bottom up algebraic approach to motion segmentation.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  3851 LNCS.
  • Vidal R, Ma Y, Soatto S, Sastry S (2006).  Two-view multibody structure from motion.  International Journal of Computer Vision.  68(1).
  • Vidal R, Abretske D (2006).  Nonrigid shape and motion from multiple perspective views.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  3952 LNCS.
  • Vidal R, Ma Y, Soatto S, Sastry S (2006).  Two-View Multibody Structure from Motion.  International Journal of Computer Vision.  68(1).  7-25.
  • Vidal R, Ma Y (2006).  A Unified Algebraic Approach to 2-D and 3-D Motion Segmentation.  Journal of Mathematical Imaging and Vision.  25(3).  403-421.
  • Goh A, Vidal R (2006).  Algebraic methods for direct and feature based registration of diffusion tensor images.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  3953 LNCS.
  • Vidal R (2005).  Multi-subspace methods for motion segmentation from affine, perspective and central panoramic cameras.  Proceedings - IEEE International Conference on Robotics and Automation.  2005.
  • Hashambhoy Y, Vidal R (2005).  Recursive identification of switched ARX models with unknown number of models and unknown orders.  Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05.  2005.
  • Vidal R, Ma Y, Sastry S (2005).  Generalized principal component analysis (GPCA).  IEEE Transactions on Pattern Analysis and Machine Intelligence.  27(12).
  • Ghoreyshi A, Vidal R, Mery D (2005).  Segmentation of circular casting defects using a robust algorithm.  Insight: Non-Destructive Testing and Condition Monitoring.  47(10).
  • Juloski AL, Heemels WPMH, Ferrari-Trecate G, Vidal R, Paoletti S, Niessen JHG (2005).  Comparison of four procedures for the identification of hybrid systems.  Lecture Notes in Computer Science.  3414.
  • Ma Y, Vidai R (2005).  Identification of deterministic switched ARX systems via identification of algebraic varieties.  Lecture Notes in Computer Science.  3414.
  • Vidal R, Singaraju D (2005).  A closed form solution to direct motion segmentation.  Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005.  II.
  • Vidal R, Ravichandran A (2005).  Optical flow estimation & segmentation of multiple moving dynamic textures.  Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005.  II.
  • Vidal R, Ma Y, Sastry S (2005).  Generalized Principal Component Analysis (GPCA).  IEEE Transactions on Pattern Analysis and Machine Intelligence.  27(12).  1-15.
  • Ghoreyshi A, Vidal R, Mery D (2005).  Segmentation of Circular Casting Defects Using a Robust Algorithm.  Insight, Journal of the British Institute of Non-Destructive Testing.  47(10).  615-617.
  • Vidal R, Shakernia O, Sastry S (2004).  Following the flock: Distributed formation control with omnidirectional vision-based motion segmentation and visual servoing.  IEEE Robotics and Automation Magazine.  11(4).
  • Mery D, Ochoa F, Vidal R (2004).  Tracking of points in a calibrated and noisy image sequence.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  3211.
  • Vidal R, Anderson BDO (2004).  Recursive identification of switched ARX hybrid models: Exponential convergence and persistence of excitation.  Proceedings of the IEEE Conference on Decision and Control.  1.
  • Vidal R (2004).  Identification of PWARX hybrid models with unknown and possibly different orders.  Proceedings of the American Control Conference.  1.
  • Huang K, Ma Y, Vidal R (2004).  Minimum effective dimension for mixtures of subspaces: A robust GPCA algorithm and its applications.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  2.
  • Vidal R, Ma Y, Piazzi J (2004).  A new GPCA algorithm for clustering subspaces by fitting, differentiating and dividing polynomials.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  1.
  • Vidal R, Hartley R (2004).  Motion segmentation with missing data using powerfactorization and GPCA.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  2.
  • Hartley R, Vidal R (2004).  The multibody trifocal tensor: Motion segmentation from 3 perspective views.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  1.
  • Ma Y, Huang K, Vidal R, Košecká J, Sastry S (2004).  Rank conditions on the multiple-view matrix.  International Journal of Computer Vision.  59(2).
  • Košecká J, Ma Y, Soatto S, Vidal R (2004).  Multiple-view geometry for image-based modeling.  ACM SIGGRAPH 2004 Course Notes, SIGGRAPH 2004.
  • Vidal R, Shakernia O, Sastry S (2004).  Following the Flock: Distributed Formation Control with Omnidirectional Vision-Based Motion Segmentation and Visual Servoing.  IEEE Robotics and Automation Magazine.  11(4).  14-20.
  • Ma Y, Huang K, Vidal R, Kosecká J, Sastry S (2004).  Rank Conditions on the Multiple View Matrix.  International Journal of Computer Vision.  59(2).  115-137.
  • Shakernia O, Vidal R, Sastry S (2003).  Multibody motion estimation and segmentation from multiple central panoramic views.  Proceedings - IEEE International Conference on Robotics and Automation.  1.
  • Vidal R, Shakernia O, Sastry S (2003).  Formation control of nonholonomic mobile robots with omnidirectional visual servoing and motion segmentation.  Proceedings - IEEE International Conference on Robotics and Automation.  1.
  • Vidal R, Chiuso A, Soatto S, Sastry S (2003).  Observability of linear hybrid systems.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  2623.
  • Vidal R, Soatto S, Ma Y, Sastry S (2003).  An Algebraic Geometric Approach to the Identification of a Class of Linear Hybrid Systems.  Proceedings of the IEEE Conference on Decision and Control.  1.
  • Vidal R, Sastry S (2003).  Optimal segmentation of dynamic scenes from two perspective views.  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  2.
  • Vidal R, Ma Y, Sastry S (2003).  Generalized principal component analysis (GPCA).  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.  1.
  • Shakernia O, Vidal R, Sastry S (2003).  Omnidirectional Egomotion Estimation From Back-projection Flow.  IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.  7.
  • Shakernia O, Vidal R, Sastry S (2003).  Structure from Small Baseline Motion with Central Panoramic Cameras.  IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.  7.
  • Vidal R, Chiuso A, Soatto S (2002).  Observability and identifiability of jump linear systems.  Proceedings of the IEEE Conference on Decision and Control.  4.
  • Vidal R, Shakernia O, Kim HJ, Shim DH, Sastry S (2002).  Probabilistic pursuit-evasion games: Theory, implementation, and experimental evaluation.  IEEE Transactions on Robotics and Automation.  18(5).
  • Vidal R, Oliensis J (2002).  Structure from planar motions with small baselines.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  2351.
  • Shakernia O, Vidal R, Sastry S (2002).  Infinitesimal motion estimation from multiple central panoramic views.  Proceedings - Workshop on Motion and Video Computing, MOTION 2002.
  • Vidal R, Shakernia O, Kim J, Shim D, Sastry S (2002).  Probabilistic Pursuit-Evasion Games: Theory, Implementation and Experimental Evaluation.  IEEE Transactions on Robotics and Automation.  18(5).  662-669.
  • Vidal R, Sastry S (2002).  Vision-based detection of autonomous vehicles for pursuit-evasion games.  IFAC Proceedings Volumes (IFAC-PapersOnline).  15(1).
  • Vidal R, Sastry S (2002).  Segmentation of dynamic scenes from image intensities.  Proceedings - Workshop on Motion and Video Computing, MOTION 2002.
  • Shakernia O, Vidal R, Sharp CS, Ma Y, Sastry S (2002).  Multiple view motion estimation and control for landing an unmanned aerial vehicle.  Proceedings-IEEE International Conference on Robotics and Automation.  3.
  • Vidal R, Schaffert S, Shakernia O, Lygeros J, Sastry S (2001).  Decidable and semi-decidable controller synthesis for classes of discrete time hybrid systems.  Proceedings of the IEEE Conference on Decision and Control.  2.
  • Kim HJ, Vidal R, Shim DH, Shakernia O, Sastry S (2001).  A hierarchical approach to probabilistic pursuit-evasion games with unmanned ground and aerial vehicles.  Proceedings of the IEEE Conference on Decision and Control.  1.
  • Vidal R, Rashid S, Sharp C, Shakernia O, Kim J, Sastry S (2001).  Pursuit-evasion games with unmanned ground and aerial vehicles.  Proceedings - IEEE International Conference on Robotics and Automation.  3.
  • Concha J, Cipriano A, Vidal R (2001).  Design of fuzzy controllers based on stability analysis.  Fuzzy Sets and Systems.  121(1).
  • Ma Y, Vidal R, Hsu S, Sastry S (2001).  Optimal Motion Estimation from Multiple Images by Normalized Epipolar Constraint.  Journal of Communications in Information and Systems.  1.  51-73.
  • Vidal R, Ma Y, Hsu S, Sastry S (2001).  Optimal motion estimation from multiview normalized epipolar constraint.  Proceedings of the IEEE International Conference on Computer Vision.  1.
  • Concha J, Cipriano A, Vidal R (2001).  Design of fuzzy controllers based on stability analysis.  Fuzzy Sets and Systems, Special Issue on Formal Methods for Fuzzy Modeling and Control.  121(1).  25-38.
  • Ma Y, Vidal R, Košecká J, Sastry S (2000).  Kruppa equation revisited: Its renormalization and degeneracy.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  1843.
  • Vidal R, Schaffert S, Lygeros J, Sastry S (2000).  Controlled invariance of discrete time systems?.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  1790.
  • Cipriano A, Guarini M, Vidal R, Soto A, Sepúlveda C, Mery D, Briseño H (1998).  A real time visual sensor for supervision of flotation cells.  Minerals Engineering.  11(6).
  • Briseno H, Cipriano A, Guarini M, Mery D, Sepúlveda C, Soto A, Vidal R (1998).  A Real Time Visual Sensor for Supervision of Flotation Cells.  Minerals Engineering.  11(837).  489-499.
  • Vidal R, Cipriano A (1997).  System for classifying rocks by using artificial vision and a robot arm.  IEEE International Symposium on Industrial Electronics.  2.
  • Vidal R, Afsari B (2015).  The Alignment Distance: A State-Space based Distance on Spaces of Finite Dimensional LTI Systems.  IEEE Transactions on Automatic Control.
Books
  • Vidal R, Ma Y, Sastry S (2014).  Generalized Principal Component Analysis.  Springer Verlag.
Book Chapters
  • Afsari B, Vidal R (2014).  Distances on Spaces of High-Dimensional Linear Stochastic Processes: A Survey.  Geometric Theory of Information.  Spinger-Verlag.  219-242.
  • Singaraju D, Grady L, Sinop A, Vidal R (2011).  Continuous Valued MRFs for Image Segmentation.  Advances in Markov Random Fields for Vision and Image Processing.  MIT Press.
  • Tron R, Terzis A, Vidal R (2011).  Distributed Image-Based 3-D Localization in Camera Sensor Networks.  Distributed Video Sensor Networks.  Springer.
  • Daafouz J, Benedetto MD, Blondel VD, Ferrari-Trecate G, Hetel L, Johansson M, Juloski A, Paoletti S, Pola G, Santis ED, Vidal R (2009).  Switched and Piecewise Affine Systems.  Handbook of Hybrid Systems Control, Theory, Tools, Application.  Cambridge University Press.  87-137.
  • Bako L, Vidal R (2008).  Identification of MIMO Switched ARX Models.  Hybrid Systems: Computation and Control.  Spinger-Verlag.
  • Petreczky M, Vidal R (2008).  Realization of Discrete-Time Semi-Algebraic Hybrid Systems.  Hybrid Systems: Computation and Control.  Springer Verlag.
  • Petreczky M, Vidal R (2007).  Metrics and topology for nonlinear and hybrid systems.  Hybrid Systems: Computation and Control.  Springer Verlag.
  • Vidal R (2006).  Segmentation of dynamic scenes taken by a moving central panoramic camera.  Imaging Beyond the Pinhole Camera.
  • Vidal R (2006).  Segmentation of Dynamic Scenes Taken by a Central Panoramic Camera.  Imaging Beyond the Pinhole Camera.  Springer Verlag.
  • Juloski A, Heemels W, Ferrari-Trecate G, Vidal R, Paoletti S, Niessen J (2005).  Comparison of four procedures for the identification of hybrid systems.  Hybrid Systems: Computation and Control.  Springer-Verlag, Berlin.  3414.  354-369.
  • Ma Y, Vidal R (2005).  Identification of Deterministic Switched ARX Systems via Identification of Algebraic Varieties.  Hybrid Systems: Computation and Control.  Springer Verlag.  449-465.
  • Vidal R, Chiuso A, Soatto S, Sastry S (2003).  Observability of Linear Hybrid Systems.  Hybrid Systems: Computation and Control.  Springer Verlag.  526-539.
  • Vidal R, Schaffert S, Lygeros J, Sastry S (2000).  Controlled Invariance of Discrete Time Systems.  Hybrid Systems: Computation and Control.  Springer Verlag.  437-451.
  • Concha J, Cipriano A, Vidal R (2000).  Design of Stable Fuzzy Controllers for Nonlinear Processes.  Stability Issues in Fuzzy Control.  Springer Verlag.
Other Publications
  • Vidal R, Soatto S, Sastry S (2002).  A Factorization Method for 3D Multi-body motion estimation and segmentation.  UC Berkeley.  (UCB/ERL M02/3).
Conference Proceedings
  • Vidal R, Tao L (2015).  A Discriminative and Interpretable Skeletal Motion Representation for Action Recognition.  ChaLearn Looking at People Workshop.
  • Vidal R, Younes E, Gorospe G, Zhu R (2015).  Efficient Metamorphosis Computation for Classifying Embryonic Cardiac Action Potentials.  MICCAI Workshop on the Mathematical Foundations in Computational Anatomy.
  • Vidal R, Cowan N, Sefati S (2015).  Learning Shared, Discriminative Dictionaries for Surgical Gesture Segmentation and Classification.
  • Vidal R, You C (2015).  Geometric Conditions for Subspace-Sparse Recovery.
  • Tsakiris MC, Vidal R (2014).  Abstract Algebraic-Geometric Subspace Clustering.  Proceedings of Asilomar Conference on Signals, Systems and Computers.
  • Patel VM, Vidal R (2014).  Kernel Sparse Subspace Clustering.  International Conference on Image Processing.
  • Tao L, Porikli F, Vidal R (2014).  Sparse Dictionaries for Semantic Segmentation.  European Conference on Computer Vision.
  • Wolfers S, Schwab E, Vidal R (2014).  Nonnegative ODF Estimation Via Optimal Constraint Selection.  IEEE International Symposium on Biomedical Imaging.
  • Haeffele B, Young E, Vidal R (2014).  Structured Low-Rank Matrix Factorization: Optimality, Algorithm, and Applications to Image Processing.  International Conference on Machine Learning.
  • Tao L, Zappella L, Hager G, Vidal R (2013).  Segmentation and Recognition of Surgical Gestures from Kinematic and Video Data.  Medical Image Computing and Computer Assisted Intervention.
  • Ofli F, Chaudhry R, Kurillo G, Vidal R, Bajcsy R (2013).  Berkeley MHAD: A Comprehensive Multimodal Human Action Database.  IEEE Workshop on Applications of Computer Vision.
  • Patel VM, Nguyen HV, Vidal R (2013).  Latent Space Sparse Subspace Clustering.  IEEE International Conference on Computer Vision.
  • Lobel H, Soto A, Vidal R (2013).  Hierarchical Joint Max-Margin Learning of Mid and Top Level Representations for Visual Recognition.  IEEE International Conference on Computer Vision.
  • Lobel H, Vidal R, Mery D, Soto A (2013).  Joint Dictionary and Classifier Learning for Categorization of Images Using a Max-margin Framework.  Pacific-Rim Symposium on Image and Video Technology.
  • Chaudhry R, Ofli F, Kurillo G, Bajcsy R, Vidal R (2013).  Bio-inspired Dynamic 3D Discriminative Skeletal Features for Human Action Recognition.  International Workshop on Human Activity Understanding from 3D Data.
  • Chaudhry R, Vidal R (2013).  Initial-State Invariant Binet-Cauchy Kernels for the Comparison of Linear Dynamical Systems.  IEEE Conference on Decision and Control.
  • Yoruk E, Vidal R (2013).  A 3D Wireframe Model for Efficient Object Localization and Pose Estimation.  ICCV Workshop on 3D Representation and Recognition.
  • Jimenez ND, Afsari B, Vidal R (2013).  Fast Jacobi-type Algorithm for Computing Distances Between Linear Dynamical Systems.  European Control Conference.  3682-3687.
  • Afsari B, Vidal R (2013).  Group Action Induced Distances on Spaces of High-Dimensional Linear Stochastic Processes.  Geometric Science of Information.  8085.  425-432.
  • Afsari B, Vidal R (2013).  The Alignment Distance on Spaces of Linear Dynamical Systems.  IEEE Conference on Decision and Control.
  • Schwab E, Cetingul HE, Afsari B, Yassa M, Vidal R (2013).  Rotation Invariant Features for HARDI.  Information Processing in Medical Imaging.
  • Jain A, Chatterjee S, Vidal R (2013).  Coarse-to-fine Semantic Video Segmentation using Supervoxel Trees.  IEEE International Conference on Computer Vision.
  • Tron R, Afsari B, Vidal R (2012).  Intrinsic Consensus on $SO(3)$ with Almost-Global Convergence.  IEEE Conference on Decision and Control.
  • Perrone D, Ravichandran A, Vidal R, Favaro P (2012).  Image Priors for Image Deblurring with Uncertain Blur.  British Machine Vision Conference.
  • Ofli F, Chaudhry R, Kurillo G, Vidal R, Bajcsy R (2012).  Sequence of the Most Informative Joints (SMIJ): A New Representation for Human Skeletal Action Recognition.  International Workshop on Human Activity Understanding from 3D Data.
  • Cetingul HE, Afsari B, Vidal R (2012).  An Algebraic Solution to Rotation Recovery in HARDI from Correspondences of Orientation Distribution Functions.  IEEE International Symposium on Biomedical Imaging.
  • Schwab E, Afsari B, Vidal R (2012).  Estimation of Non-Negative ODFs using Eigenvalue Distribution of Spherical Functions.  Medical Image Computing and Computer Assisted Intervention.  7511(2).  322-330.
  • Elhamifar E, Sapiro G, Vidal R (2012).  Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery.  Neural Information Processing and Systems.
  • Jain A, Zappella L, McClure P, Vidal R (2012).  Visual Dictionary Learning for Joint Object Categorization and Segmentation.  European Conference on Computer Vision.
  • Afsari B, Chaudhry R, Ravichandran A, Vidal R (2012).  Group Action Induced Distances for Averaging and Clustering Linear Dynamical Systems with Applications to the Analysis of Dynamic Visual Scenes.  IEEE Conference on Computer Vision and Pattern Recognition.
  • Tao L, Elhamifar E, Khudanpur S, Hager G, Vidal R (2012).  Sparse Hidden Markov Models for Surgical Gesture Classification and Skill Evaluation.  Information Processing in Computed Assisted Interventions.
  • Cetingul HE, Afsari B, Wright M, Thompson P, Vidal R (2012).  Group action induced averaging for HARDI processing.  IEEE International Symposium on Biomedical Imaging.
  • Elhamifar E, Sapiro G, Vidal R (2012).  See All by Looking at A Few: Sparse Modeling for Finding Representative Objects.  IEEE Conference on Computer Vision and Pattern Recognition.
  • Cetingül HE, Vidal R (2011).  Sparse Riemannian Manifold Clustering for HARDI Segmentation.  IEEE International Symposium on Biomedical Imaging.  839-842.
  • Elhamifar E, Vidal R (2011).  Sparse Manifold Clustering and Embedding.  Neural Information Processing and Systems.
  • Elhamifar E, Vidal R (2011).  Robust Classification using Structured Sparse Representation.  IEEE Conference on Computer Vision and Pattern Recognition.
  • Chen Y, Tron R, Terzis A, Vidal R (2011).  Corrective Consensus with Asymmetric Wireless Links.  IEEE Conference on Decision and Control.
  • Elhamifar E, Vidal R (2011).  Sparsity in Unions of Subspaces for Classification and Clustering of High-Dimensional Data.  Allerton Conference on Communication, Control, and Computing.
  • Tron R, Afsari B, Vidal R (2011).  Average Consensus on Riemannian Manifolds with Bounded Curvature.  IEEE Conference on Decision and Control.
  • Singaraju D, Vidal R (2011).  Using Global Bag of Features Models in Random Fields for Joint Categorization and Segmentation of Objects.  IEEE Conference on Computer Vision and Pattern Recognition.
  • Chen Y, Tron R, Terzis A, Vidal R (2011).  Accelerated Corrective Consensus: Convergence to the Exact Average at a Faster Rate.  American Control Conference.
  • Rother D, Vidal R (2011).  A Hypothesize-and-Bound Algorithm for Simultaneous Object Classification, Pose Estimation and 3D Reconstruction from a Single 2D Image.  ICCV Workshop on 3D Representation and Recognition.
  • Tron R, Vidal R (2011).  Distributed Computer Vision Algorithms Through Distributed Averaging.  IEEE Conference on Computer Vision and Pattern Recognition.
  • Favaro P, Vidal R, Ravichandran A (2011).  A Closed Form Solution to Robust Subspace Estimation and Clustering.  IEEE Conference on Computer Vision and Pattern Recognition.
  • Elhamifar E, Vidal R (2010).  Clustering Disjoint Subspaces via Sparse Representation.  IEEE International Conference on Acoustics, Speech, and Signal Processing.
  • Li J, Elhamifar E, Wang I, Vidal R (2010).  Consensus with Robustness to Outliers via Distributed Optimization.  IEEE Conference on Decision and Control.
  • Chen Y, Tron R, Terzis A, Vidal R (2010).  Corrective Consensus: Converging to the Exact Average.  IEEE Conference on Decision and Control.
  • Lauer F, Bloch G, Vidal R (2010).  Nonlinear Hybrid System Identification with Kernel Models.  IEEE Conference on Decision and Control.
  • Ravichandran A, Favaro P, Vidal R (2010).  A Unified Approach to Segmentation and Categorization of Dynamic Textures.  Asian Conference on Computer Vision.
  • Bako L, Mercere G, Vidal R, Lecoeuche S (2009).  Identification of Switched Linear State Space Models without Dwell Time.  IFAC Symposium on System Identification.
  • Cetingül HE, Plank G, Trayanova N, Vidal R (2009).  Estimation of Multimodal Orientation Distribution Functions from Cardiac MRI For Tracking Purkinje fibers through branchings.  IEEE International Symposium on Biomedical Imaging.  839-842.
  • Goh A, Lenglet C, Thompson PM, Vidal R (2009).  Estimating Orientation Distribution Functions with Probability Density Constraints and Spatial Regularity.  Medical Image Computing and Computer Assisted Intervention.  5761.  877-885.
  • Elhamifar E, Vidal R (2009).  Distributed Calibration of Camera Sensor Networks.  International Conference on Distributed Smart Cameras.
  • Cetingül HE, Plank G, Trayanova N, Vidal R (2009).  Stochastic Tractography in 3-D Images via Nonlinear Filtering and Spherical Clustering.  Workshop on Probabilistic Models for Medical Image Analysis.
  • Chaudhry R, Ravichandran A, Hager G, Vidal R (2009).  Histograms of Oriented Optical Flow and Binet-Cauchy Kernels on Nonlinear Dynamical Systems for the Recognition of Human Actions.  IEEE Conference on Computer Vision and Pattern Recognition.
  • Tron R, Vidal R (2009).  Distributed Image-Based 3-D Localization in Camera Sensor Networks.  IEEE Conference on Decision and Control.
  • Cetingül HE, Vidal R (2009).  Intrinsic Mean Shift for Clustering on Stiefel and Grassmann Manifolds.  IEEE Conference on Computer Vision and Pattern Recognition.
  • Ravichandran A, Chaudhry R, Vidal R (2009).  View-Invariant Dynamic Texture Recognition using a Bag of Dynamical Systems.  IEEE Conference on Computer Vision and Pattern Recognition.
  • Lauer F, Vidal R, Bloch G (2009).  A Product-of-Errors Framework for Linear Hybrid System Identification.  IFAC Symposium on System Identification.
  • Goh A, Lenglet C, Thompson PM, Vidal R (2009).  A Nonparametric Riemannian Framework for Processing High Angular Resolution Diffusion Images (HARDI).  IEEE Conference on Computer Vision and Pattern Recognition.
  • Singaraju D, Grady L, Vidal R (2009).  P-Brush: Continuous Valued MRFs with Normed Pairwise Distributions for Image Segmentation.  IEEE Conference on Computer Vision and Pattern Recognition.
  • Elhamifar E, Vidal R (2009).  Sparse Subspace Clustering.  IEEE Conference on Computer Vision and Pattern Recognition.
  • Elhamifar E, Petreczky M, Vidal R (2009).  Rank Tests for the Observability of Discrete-Time Jump Linear Systems with Inputs.  American Control Conference.
  • Goh A, Vidal R (2008).  Segmenting Fiber Bundles in Diffusion Tensor Images.  European Conference on Computer Vision.  238-250.
  • Singaraju D, Vidal R (2008).  Interactive Image Matting for Multiple Layers.  IEEE Conference on Computer Vision and Pattern Recognition.
  • Tron R, Vidal R, Terzis A (2008).  Distributed pose averaging in camera networks via consensus on SE(3).  International Conference on Distributed Smart Cameras.
  • Rao S, Tron R, Ma Y, Vidal R (2008).  Motion Segmentation via Robust Subspace Separation in the Presence of Outlying, Incomplete, or Corrupted Trajectories.  IEEE Conference on Computer Vision and Pattern Recognition.
  • Singaraju D, Grady L, Vidal R (2008).  Interactive Image Segmentation Via Minimization of Quadratic Energies on Directed Graphs.  IEEE Conference on Computer Vision and Pattern Recognition.
  • Goh A, Vidal R (2008).  Unsupervised Riemannian Clustering of Probability Density Functions.  European Conference on Machine Learning.
  • Tron R, Vidal R (2008).  Distributed Face Recognition via Consensus on SE(3).  Workshop on Omnidirectional Vision.
  • Cetingül HE, Vidal R, Plank G, Trayanova N (2008).  Nonlinear Filtering for Extracting Orientation and Tracing Tubular Structures in 2-D Medical Images.  IEEE International Symposium on Biomedical Imaging.  260-263.
  • Hartley R, Vidal R (2008).  Perspective Nonrigid Shape and Motion Recovery.  European Conference on Computer Vision.
  • Ravichandran A, Vidal R (2008).  Video Registration using Dynamic Textures.  European Conference on Computer Vision.
  • Goh A, Vidal R (2008).  Clustering and Dimensionality Reduction on Riemannian Manifolds.  IEEE Conference on Computer Vision and Pattern Recognition.
  • Vidal R (2007).  Identification of Spatial-Temporal Hybrid Systems.  IEEE Conference on Decision and Control.
  • Ghoreyshi A, Vidal R (2007).  Epicardial Segmentation in Dynamic Cardiac MR Sequences Using Priors on Shape, Intensity, and Dynamics, in a Level Set Framework.  IEEE International Symposium on Biomedical Imaging.  860-863.
  • Li T, Kallem V, Singaraju D, Vidal R (2007).  Projective Factorization of Multiple Rigid-Body Motions.  IEEE Conference on Computer Vision and Pattern Recognition.
  • Cetingül HE, Chaudhry R, Vidal R (2007).  A System Theoretic Approach to Synthesis and Classification of Lip Articulation.  International Workshop on Dynamical Vision.
  • Tron R, Vidal R (2007).  A Benchmark for the Comparison of 3-D Motion Segmentation Algorithms.  IEEE Conference on Computer Vision and Pattern Recognition.
  • Vidal R, Soatto S, Chiuso A (2007).  Applications of Hybrid System Identification in Computer Vision.  European Control Conference.
  • Vidal R, Favaro P (2007).  DynamicBoost: Boosting Time Series Generated by Dynamical Systems.  IEEE International Conference on Computer Vision.
  • Ravichandran A, Vidal R (2007).  Mosaicing Nonrigid Dynamical Scenes.  International Workshop on Dynamic Vision.
  • Goh A, Vidal R (2007).  Segmenting Motions of Different Types by Unsupervised Manifold Clustering.  IEEE Conference on Computer Vision and Pattern Recognition.
  • Petreczky M, Vidal R (2007).  Realization Theory for Stochastic Jump-Markov Linear Systems.  IEEE Conference on Decision and Control.
  • Goh A, Vidal R (2006).  An Algebraic Solution to Rigid Registration of Diffusion Tensor Images.  IEEE International Symposium on Biomedical Imaging.  642-645.
  • Singaraju D, Vidal R (2006).  Direct Segmentation of Multiple Motion Models of Different Types.  International Workshop on Dynamical Vision.
  • Lu L, Vidal R (2006).  Combined Central and Subspace Clustering on Computer Vision Applications.  International Conference on Machine Learning.  593-600.
  • Ravichandran A, Vidal R, Halperin H (2006).  Segmenting a Beating Heart Using PolySegment and Spatial GPCA.  IEEE International Symposium on Biomedical Imaging.  634-637.
  • Singaraju D, Vidal R (2006).  A Bottom up Algebraic Approach to Motion Segmentation.  Asian Conference on Computer Vision.  1.  286-296.
  • Goh A, Vidal R (2006).  Algebraic Methods for Direct and Feature Based Registration of Diffusion Tensor Images.  European Conference on Computer Vision.  514-525.
  • Ghoreyshi A, Vidal R (2006).  Segmenting Dynamic Textures with Ising Descriptors, ARX Models and Level Sets.  International Workshop on Dynamic Vision.  127-141.
  • Vidal R, Abretske D (2006).  Nonrigid Shape and Motion from Multiple Perspective Views.  European Conference on Computer Vision.  205-218.
  • Vidal R (2006).  Online clustering of moving hyperplanes.  Neural Information Processing Systems, NIPS.
  • Fan X, Vidal R (2005).  The Space of Multibody Fundamental Matrices: Rank, Geometry and Projection.  International Workshop on Dynamical Vision.  1-17.
  • Hashambhoy Y, Vidal R (2005).  Recursive Identification of Switched ARX Models with Unknown Number of Models and Unknown Orders.  IEEE Conference on Decision and Control.  6115-6121.
  • Vidal R (2005).  Multi-Subspace Methods for Motion Segmentation from Affine, Perspective and Central Panoramic Cameras.  IEEE Conference on Robotics and Automation.  1753-1758.
  • Vidal R, Singaraju D (2005).  A Closed-Form Solution to Direct Motion Segmentation.  IEEE Conference on Computer Vision and Pattern Recognition.  II.  510-515.
  • Vidal R, Ravichandran A (2005).  Optical Flow Estimation and Segmentation of Multiple Moving Dynamic Textures.  IEEE Conference on Computer Vision and Pattern Recognition.  II.  516-521.
  • Huang K, Ma Y, Vidal R (2004).  Minimum Effective Dimension for Mixtures of Subspaces: A Robust GPCA Algorithm and its Applications.  IEEE Conference on Computer Vision and Pattern Recognition.  II.  631-638.
  • Vidal R, Ma Y (2004).  A Unified Algebraic Approach to 2-D and 3-D Motion Segmentation.  European Conference on Computer Vision.  1-15.
  • Hartley R, Vidal R (2004).  The Multibody Trifocal Tensor: Motion Segmentation from 3 Perspective Views.  IEEE Conference on Computer Vision and Pattern Recognition.  I.  769-775.
  • Vidal R, Anderson B (2004).  Recursive Identification of Switched ARX Hybrid Models: Exponential Convergence and Persistence of Excitation.  IEEE Conference on Decision and Control.  32-37.
  • Mery D, Ochoa F, Vidal R (2004).  Tracking of Points in a Calibrated and Noisy Image Sequence.  International Conference on Image Analysis and Recognition.
  • Vidal R (2004).  Identification of PWARX Hybrid Models with Unknown and Possibly Different Orders.  American Control Conference.  547-552.
  • Vidal R, Ma Y, Piazzi J (2004).  A New GPCA Algorithm for Clustering Subspaces by Fitting, Differentiating and Dividing Polynomials.  IEEE Conference on Computer Vision and Pattern Recognition.  I.  510-517.
  • Vidal R, Hartley R (2004).  Motion Segmentation with Missing Data by PowerFactorization and Generalized PCA.  IEEE Conference on Computer Vision and Pattern Recognition.  II.  310-316.
  • Cowan N, Shakernia O, Vidal R, Sastry S (2003).  Vision-based Follow-the-Leader.  Proc IEEE RSJ Int Conf Intell Robots Syst.  2.  1796- 1801.
  • Shakernia O, Vidal R, Sastry S (2003).  Multi-Body Motion Estimation and Segmentation From Multiple Central Panoramic Views.  IEEE International Conference on Robotics and Automation.  1.  571-576.
  • Shakernia O, Vidal R, Sastry S (2003).  Omnidirectional vision-based egomotion estimation from backprojection flow.  Workshop on Omnidirectional Vision.
  • Vidal R, Sastry S (2003).  Optimal Segmentation of Dynamic Scenes from Two Perspective Views.  IEEE Conference on Computer Vision and Pattern Recognition.  2.  281-286.
  • Shakernia O, Vidal R, Sastry S (2003).  Structure from small baseline motion with central panoramic cameras.  Workshop on Omnidirectional Vision.
  • Vidal R, Ma Y, Sastry S (2003).  Generalized Principal Component Analysis (GPCA).  IEEE Conference on Computer Vision and Pattern Recognition.  I.  621-628.
  • Vidal R, Soatto S, Ma Y, Sastry S (2003).  An Algebraic Geometric Approach to the Identification of a Class of Linear Hybrid Systems.  IEEE Conference on Decision and Control.  167-172.
  • Vidal R, Shakernia O, Sastry S (2003).  Formation Control of Nonholonomic Mobile Robots with OmnidirectionalVisual Servoing and Motion Segmentation.  IEEE International Conference on Robotics and Automation.  1.  584-589.
  • Shakernia O, Vidal R, Sastry S (2002).  Infinitesimal Motion Estimation from Multiple Central Panoramic Views.  IEEE Workshop on Motion and Video Computing.  229-234.
  • Shakernia O, Vidal R, Sharp C, Ma Y, Sastry S (2002).  Multiple View Motion Estimation and Control for Landing an Unmanned Aerial Vehicle.  IEEE International Conference on Robotics and Automation.  2793-2798.
  • Vidal R, Sastry S (2002).  Vision based detection of multiple autonomous vehicles for pursuit-evasion games.  IFAC World Congress on Automatic Control.
  • Vidal R, Sastry S (2002).  Segmentation of Dynamic Scenes from Image Intensities.  IEEE Workshop on Motion and Video Computing.  44-49.
  • Vidal R, Oliensis J (2002).  Structure from planar motions with small baselines.  European Conference on Computer Vision.  383-398.
  • Vidal R, Soatto S, Sastry S (2002).  A Factorization Method for Multibody Motion Estimation and Segmentation.  Fortieth Annual Allerton Conference on Communication, Control and Computing.  1625-1634.
  • Vidal R, Chiuso A, Soatto S (2002).  Observability and Identifiability of Jump Linear Systems.  IEEE Conference on Decision and Control.  3614-3619.
  • Vidal R, Shakernia O, Sastry S (2002).  Omnidirectional Vision-Based Formation Control.  Fortieth Annual Allerton Conference on Communication, Control and Computing.  1625-1634.
  • Vidal R, Sastry S, Kim J, Shakernia O, Shim D (2002).  The Berkeley Aerial Robot Project (BEAR).  Workshop on Aerial Robotics, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).  1-10.
  • Vidal R, Soatto S, Ma Y, Sastry S (2002).  Segmentation of Dynamic Scenes from the Multibody Fundamental Matrix.  ECCV Workshop on Visual Modeling of Dynamic Scenes.
  • Kim HJ, Vidal R, Shim D, Shakernia O, Sastry S (2001).  A hierarchical approach to Probabilistic Pursuit-Evasion games with unmanned ground and aerial vehicles.  IEEE Conference on Decision and Control.  1243-1248.
  • Vidal R, Rashid S, Sharp C, Shakernia O, Kim HJ, Sastry S (2001).  Pursuit-Evasion games with unmanned ground and aerial vehicles.  IEEE International Conference on Robotics and Automation.  2948-2955.
  • Vidal R, Schaffert S, Shakernia O, Lygeros J, Sastry S (2001).  Decidable and Semi-decidable Controller Synthesis for Classes of Discrete Time Hybrid Systems.  IEEE Conference on Decision and Control.  1243-1278.
  • Vidal R, Ma Y, Hsu S, Sastry S (2001).  Optimal Motion Estimation from the Multiview Normalized Epipolar Constraint.  IEEE International Conference on Computer Vision.  1.  34-41.
  • Ma Y, Vidal R, Kosecká J, Sastry S (2000).  Kruppa's Equations Revisited: its Degeneracy, Renormalization and Relations to Chirality.  European Conference on Computer Vision.  2.  561-577.
  • Cipriano A, Vidal R (1998).  A Robotic Classifier of Rocks: an Integration of Artificial Vision and Robotics.  IFAC Workshop on Algorithms and Architectures for Real-Time Control.  120-125.
  • Cipriano A, Vidal R (1997).  System for Classifying Rocks by using Artificial Vision and a Robot Arm.  IEEE International Symposium on Industrial Electronics.  2.  729-734.
  • Cipriano A, Mery D, Ramos M, Vidal R (1996).  Parallel Processing Systems and their Application to Economic Dispatch with Environmental Constraints.  Latin-American Congress on Automatic Control.  115-121.
  • Cipriano A, Vidal R (1996).  The Scorbot ER VII Robot Arm: Description and Applications.  Chilean Congress on Automatic Control.  17-22.
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