Rene Vidal

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Shankar SastryUniversity of CaliforniaVerified email at berkeley.edu
Yi Ma (马毅)Professor of EECS, UC Berkeley; Director of IDS & Head of CS, University of Hong KongVerified email at eecs.berkeley.edu
Ben HaeffeleJohns Hopkins UnviersityVerified email at jhu.edu
Ehsan ElhamifarAssociate Professor of Computer Science, Northeastern UniversityVerified email at ccs.neu.edu
Gregory HagerMandell Bellmore Professor of Computer Science, Johns Hopkins UniversityVerified email at cs.jhu.edu
Roberto TronAssociate Professor - Boston UniversityVerified email at bu.edu
Daniel P. RobinsonAssociate Professor, Lehigh UniversityVerified email at lehigh.edu
Chong YouGoogleVerified email at google.com
Rizwan ChaudhryPrediction at CruiseVerified email at getcruise.com
Avinash RavichandranPrincipal Applied Scientist, Perception, CruiseVerified email at cis.jhu.edu
Stefano SoattoProfessor of Computer Science, UCLA; VP, AWSVerified 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
Benjamin BejarLead Data Scientist, Swiss Data Science CenterVerified email at datascience.ch
Luca ZappellaMachine Learning Research ManagerVerified email at apple.com
Chun-Guang LiAssociate Professor, Beijing University of Posts and TelecommunicationsVerified email at bupt.edu.cn
Austin ReiterJohns Hopkins UniversityVerified email at cs.jhu.edu
H. Ertan CetingulGlobal Director, Digital Research Management at GE HealthCareVerified email at ge.com
Dheeraj SingarajuSoftware engineer, GoogleVerified email at eecs.berkeley.edu

Rene Vidal

Rachleff University Professor, University of Pennsylvania; Amazon Scholar; Chief Scientist, NORCE

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	3940	2013
Generalized principal component analysis (GPCA) R Vidal, Y Ma, S Sastry IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (12), 1945 …, 2005	1732	2005
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	1342	2017
Subspace clustering R Vidal Signal Processing Magazine, IEEE 28 (2), 52-68, 2011	1295	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	853	2009
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	828	2007
Temporal convolutional networks: A unified approach to action segmentation C Lea, R Vidal, A Reiter, GD Hager Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016	692	2016
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	669	2002
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	539	2013
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	526	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	484	2007
Low rank subspace clustering (LRSC) R Vidal, P Favaro Pattern Recognition Letters 43, 47-61, 2014	481	2014
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	455	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	453	2012
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	403	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	398	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	387	2010
A closed form solution to robust subspace estimation and clustering P Favaro, R Vidal, A Ravichandran CVPR 2011, 1801-1807, 2011	359	2011
Jhu-isi gesture and skill assessment working set (jigsaws): A surgical activity dataset for human motion modeling Y Gao, SS Vedula, CE Reiley, N Ahmidi, B Varadarajan, HC Lin, L Tao, ... MICCAI workshop: M2cai 3 (3), 2014	353	2014
Sparse manifold clustering and embedding E Elhamifar, R Vidal Advances in neural information processing systems 24, 2011	335	2011

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