Rene Vidal
Rene Vidal
MINDS Director & Seder Professor at Johns Hopkins University, Amazon Scholar, NORCE Chief Scientist
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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
Generalized principal component analysis (GPCA)
R Vidal, Y Ma, S Sastry
IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (12), 1945 …, 2005
Subspace clustering
R Vidal
Signal Processing Magazine, IEEE 28 (2), 52-68, 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
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
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
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
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
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
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
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
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
Low rank subspace clustering (LRSC)
R Vidal, P Favaro
Pattern Recognition Letters 43, 47-61, 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
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
Book: Generalized Principal Component Analysis (GPCA)
R Vidal, Y Ma, S Sastry
Springer Verlag, 2016
Markov random fields for vision and image processing
A Blake, P Kohli, C Rother
MIT press, 2011
A closed form solution to robust subspace estimation and clustering
P Favaro, R Vidal, A Ravichandran
CVPR 2011, 1801-1807, 2011
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
Sparse manifold clustering and embedding
E Elhamifar, R Vidal
Advances in neural information processing systems 24, 55-63, 2011
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