Rene Vidal

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	All	Since 2015
Citations	23725	14978
h-index	77	60
i10-index	200	158

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Co-authors

Shankar SastryUniversity of CaliforniaVerified email at berkeley.edu
Yi Ma (马毅)Professor of EECS, University of California, BerkeleyVerified email at eecs.berkeley.edu
Roberto TronAssistant Professor - Boston UniversityVerified email at bu.edu
Ehsan ElhamifarNortheastern UniversityVerified email at ccs.neu.edu
Gregory HagerMandell Bellmore Professor of Computer Science, Johns Hopkins UniversityVerified email at cs.jhu.edu
Daniel P. RobinsonAssociate Professor, Lehigh UniversityVerified email at lehigh.edu
Rizwan ChaudhrySoftware Engineer, Computer Vision - GoogleVerified email at google.com
Avinash RavichandranAWSVerified email at cis.jhu.edu
Chong YouUniversity of California, BerkeleyVerified email at berkeley.edu
Ben HaeffeleJohns Hopkins UnviersityVerified email at jhu.edu
Stefano SoattoProfessor of Computer Science, UCLAVerified email at ucla.edu
bijan afsariCenter for Imaging Science, Johns Hopkins UniversityVerified email at cis.jhu.edu
Colin LeaAppleVerified email at apple.com
Lingling TaoFacebook Reality LabsVerified email at oculus.com
Luca ZappellaMachine Learning ResearcherVerified email at apple.com
H. Ertan CetingulResearch Program Manager, Technology and Medical Innovation, GE HealthcareVerified email at ge.com
Dheeraj SingarajuSoftware engineer, GoogleVerified email at eecs.berkeley.edu
Chun-Guang LiAssociate Professor, Beijing University of Posts and TelecommunicationsVerified email at bupt.edu.cn
Richard HartleyAustralian National University, National ICT Australia (NICTA)Verified email at anu.edu.au
Paolo FavaroProfessor of Computer Vision, University of BernVerified email at iam.unibe.ch

Rene Vidal

MINDS Director & Seder Professor at Johns Hopkins University, Amazon Scholar, NORCE Chief Scientist

Verified email at jhu.edu - Homepage

Machine Learning Computer Vision Biomedical Data Science Robotics Control Theory


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Sparse subspace clustering: Algorithm, theory, and applications E Elhamifar, R Vidal IEEE Transactions on Pattern Analysis and Machine Intelligence 35 (11), 2765 …, 2013	1831	2013
Sparse subspace clustering E Elhamifar, R Vidal IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2790-2797, 2009	1354	2009
Generalized principal component analysis (GPCA) R Vidal, Y Ma, S Sastry IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (12), 1945 …, 2005	1308	2005
Subspace clustering R Vidal Signal Processing Magazine, IEEE 28 (2), 52-68, 2011	974	2011
A benchmark for the comparison of 3-d motion segmentation algorithms R Tron, R Vidal IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1-8, 2007	702	2007
Histograms of oriented optical flow and Binet-Cauchy kernels on nonlinear dynamical systems for the recognition of human actions R Chaudhry, A Ravichandran, G Hager, R Vidal IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1932-1939, 2009	663	2009
Probabilistic pursuit-evasion games: theory, implementation, and experimental evaluation R Vidal, O Shakernia, HJ Kim, DH Shim, S Sastry IEEE Transactions on Robotics and Automation 18 (5), 662-669, 2002	585	2002
A vision system for landing an unmanned aerial vehicle CS Sharp, O Shakernia, SS Sastry IEEE International Conference on Robotics and Automation, 2001. 2, 1720-1727, 2001	460	2001
Identification of hybrid systems: A tutorial S Paoletti, AL Juloski, G Ferrari-Trecate, R Vidal European Journal of Control 13 (2-3), 242-260, 2007	404	2007
Sequence of the most informative joints (smij): A new representation for human skeletal action recognition F Ofli, R Chaudhry, G Kurillo, R Vidal, R Bajcsy Journal of Visual Communication and Image Representation 25 (1), 24-38, 2014	363	2014
An algebraic geometric approach to the identification of a class of linear hybrid systems R Vidal, S Soatto, Y Ma, S Sastry IEEE Conference on Decision and Control, 2003 1, 167-172, 2003	356	2003
Berkeley mhad: A comprehensive multimodal human action database F Ofli, R Chaudhry, G Kurillo, R Vidal, R Bajcsy 2013 IEEE Workshop on Applications of Computer Vision (WACV), 53-60, 2013	353	2013
See all by looking at a few: Sparse modeling for finding representative objects E Elhamifar, G Sapiro, R Vidal 2012 IEEE conference on computer vision and pattern recognition, 1600-1607, 2012	334	2012
Temporal convolutional networks for action segmentation and detection C Lea, MD Flynn, A Reiter, R Vidal, GD Hager IEEE International Conference on Computer Vision (ICCV), 2017	331	2017
Low rank subspace clustering (LRSC) R Vidal, P Favaro Pattern Recognition Letters 43, 47-61, 2014	305	2014
Markov random fields for vision and image processing A Blake, P Kohli, C Rother Mit Press, 2011	303	2011
Motion Segmentation in the Presence of Outlying, Incomplete, or Corrupted Trajectories S Rao, R Tron, R Vidal, Y Ma IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010	300	2010
Observability of linear hybrid systems R Vidal, A Chiuso, S Soatto, S Sastry International Workshop on Hybrid Systems: Computation and Control, 526-539, 2003	289	2003
A closed form solution to robust subspace estimation and clustering P Favaro, R Vidal, A Ravichandran CVPR 2011, 1801-1807, 2011	280	2011
Sparse manifold clustering and embedding E Elhamifar, R Vidal Advances in neural information processing systems, 55-63, 2011	272	2011

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