Rene Vidal

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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
Daniel P. RobinsonAssociate Professor, Lehigh UniversityVerified email at lehigh.edu
Gregory HagerMandell Bellmore Professor of Computer Science, Johns Hopkins UniversityVerified email at cs.jhu.edu
Ben HaeffeleJohns Hopkins UnviersityVerified email at jhu.edu
Chong YouGoogleVerified email at google.com
Rizwan ChaudhryPrediction at CruiseVerified email at getcruise.com
Avinash RavichandranPrincipal Scientist, AWSVerified email at cis.jhu.edu
Stefano SoattoProfessor of Computer Science, UCLAVerified email at ucla.edu
Colin LeaAppleVerified email at apple.com
bijan afsariCenter for Imaging Science, Johns Hopkins UniversityVerified email at cis.jhu.edu
Lingling TaoFacebook Reality LabsVerified email at oculus.com
Luca ZappellaMachine Learning Research ManagerVerified email at apple.com
Chun-Guang LiAssociate Professor, Beijing University of Posts and TelecommunicationsVerified email at bupt.edu.cn
Benjamin BejarSr. Data Scientist, Swiss Data Science CenterVerified email at datascience.ch
H. Ertan CetingulSenior Manager, MR Research Management at GE HealthcareVerified email at ge.com
Dheeraj SingarajuSoftware engineer, GoogleVerified email at eecs.berkeley.edu
Austin ReiterJohns Hopkins UniversityVerified email at cs.jhu.edu

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 Artificial Intelligence 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	3413	2013
Generalized principal component analysis (GPCA) R Vidal, Y Ma, S Sastry IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (12), 1945 …, 2005	1548	2005
Subspace clustering R Vidal Signal Processing Magazine, IEEE 28 (2), 52-68, 2011	1154	2011
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	788	2009
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	786	2017
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	780	2007
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	630	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	492	2001
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	465	2013
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	443	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	432	2014
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	415	2012
Low rank subspace clustering (LRSC) R Vidal, P Favaro Pattern Recognition Letters 43, 47-61, 2014	404	2014
Temporal convolutional networks: A unified approach to action segmentation C Lea, R Vidal, A Reiter, GD Hager European Conference on Computer Vision, 47-54, 2016	392	2016
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	380	2003
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	361	2010
Scalable sparse subspace clustering by orthogonal matching pursuit C You, D Robinson, R Vidal Proceedings of the IEEE conference on computer vision and pattern …, 2016	328	2016
A closed form solution to robust subspace estimation and clustering P Favaro, R Vidal, A Ravichandran CVPR 2011, 1801-1807, 2011	325	2011
Sparse manifold clustering and embedding E Elhamifar, R Vidal Advances in neural information processing systems 24, 2011	316	2011
Observability of linear hybrid systems R Vidal, A Chiuso, S Soatto, S Sastry International Workshop on Hybrid Systems: Computation and Control, 526-539, 2003	305	2003

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