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References
Elhamifar, E.; Vidal, R. (2013). "Sparse subspace clustering: Algorithm, theory, and applications". IEEE Transactions on Pattern Analysis and Machine Intelligence 35: 2765–2781. doi:10.1109/TPAMI.2013.57. https://dx.doi.org/10.1109%2FTPAMI.2013.57
Tron, R.; Vidal, R. (2007). "A Benchmark for the Comparison of 3-D Motion Segmentation Algorithms". IEEE Conference on Computer Vision and Pattern Recognition. doi:10.1109/CVPR.2007.382974. https://dx.doi.org/10.1109%2FCVPR.2007.382974
Zappella, L.; Bejar, B.; Hager, G.; Vidal, R. (2013). "Surgical gesture classification from video and kinematic data". Medical Image Analysis 17: 732–745. doi:10.1016/j.media.2013.04.007. https://dx.doi.org/10.1016%2Fj.media.2013.04.007
Vidal, R.; Shakernia, O.; Kim, H.J.; Shim, D.H.; Sastry, S.S. (2002). "Probabilistic pursuit-evasion games: theory, implementation, and experimental evaluation". IEEE Transactions on Robotics and Automation 18: 662–669. doi:10.1109/TRA.2002.804040. https://dx.doi.org/10.1109%2FTRA.2002.804040
Vidal, R.; Soatto, S.; Ma, Y.; Sastry, S.S. (2003). "An algebraic geometric approach to the identification of a class of linear hybrid systems". IEEE Conference on Decision and Control. doi:10.1109/CDC.2003.1272554. https://dx.doi.org/10.1109%2FCDC.2003.1272554
Vidal, Rene (2003). Generalized Principal Component Analysis (GPCA): An Algebraic Geometric Approach to Subspace Clustering and Motion Segmentation (PDF) (PhD thesis). The University of California, Berkeley. http://vision.jhu.edu/assets/VidalPHD03.pdf
"NSF CAREER Award". https://www.nsf.gov/awardsearch/showAward?AWD_ID=0447739.
Haeffele, B.; Vidal, R. (2017). "Global optimality in neural network training". IEEE Conference on Computer Vision and Pattern Recognition.
Vidal, R.; Hartley, R. (2004). "Motion segmentation with missing data using PowerFactorization and GPCA". IEEE Conference on Computer Vision and Pattern Recognition. doi:10.1109/CVPR.2004.1315180. https://dx.doi.org/10.1109%2FCVPR.2004.1315180
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. doi:10.1109/CVPR.2009.5206821. https://dx.doi.org/10.1109%2FCVPR.2009.5206821
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. doi:10.1109/CVPR.2009.5206847. https://dx.doi.org/10.1109%2FCVPR.2009.5206847
Vidal, R.; Chiuso, A.; Soatto, S. (2002). "Observability and identifiability of jump linear systems". IEEE Conference on Decision and Control. doi:10.1109/CDC.2002.1184923. https://dx.doi.org/10.1109%2FCDC.2002.1184923
Vidal, R.; Chiuso, A.; Soatto, S.; Sastry, S.S. (2003). "Observability of Linear Hybrid Systems". International Workshop on Hybrid Systems: Computation and Control. doi:10.1007/3-540-36580-X_38. https://dx.doi.org/10.1007%2F3-540-36580-X_38
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Name:Rene Vidal
Born:Jul 1974
Birth Location:Lautaro, Chile
Titles: Electrical engineerComputer scientist
Affiliation:The Johns Hopkins University
Honors:IAPR Fellow (2016)IEEE Fellow (2014)IAPR Aggarwal Prize (2012)Sloan Fellow (2009)ONR Young Investigator AwardNSF CAREER Award
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