8:30-10:15<\/strong> Session 1:\u00a0 Robust Subpace Learning\/Clustering and Dynamic RPCA (1h 45min)<\/strong><\/p>\n 8:30-8:35 Opening (5 min) 8:35-9:15 <\/strong>Invited Talk<\/p>\n Dynamic Robust PCA and Applications in Video Analytics\u00a0 (Namrata Vaswani, Iowa state, USA)<\/p>\n 9:15-9:35\u00a0 <\/strong>Learning Robust Representations for Computer Vision (20 min)<\/p>\n Peng Zheng (University of Washington), Aleksandr Aravkin(University of Washington), Karthikeyan Natesan Ramamurthy(IBM Research), Jayaraman J. Thiagarajan (Lawrence Livermore National Laboratory)<\/p>\n \u00a09:35-9:55\u00a0 <\/strong>Variational Robust Subspace Clustering with Mean Update Algorithm (20 min)<\/p>\n Sergej Dogadov (TU Berlin, Germany), Andres Masegosa (University of Almeria, Spain), Shinichi Nakajima (TU Berlin, Germany)<\/p>\n \u00a09:55-10:15 <\/strong>Manifold Constrained Low Rank Decomposition (20 min)<\/p>\n Chen Chen (University of Texas, Dallas, USA)<\/span><\/p>\n <\/p>\n 10:15-11:00<\/strong>\u00a0 Break 1 (Coffee) - 45 min<\/p>\n <\/p>\n 11:00-12:30<\/strong> Session 2:\u00a0<\/strong> Robust Subspace Representation<\/strong> (1h 30min)<\/p>\n 11:00-11:30 <\/strong>Invited Talk Innovation pursuit: A new\u00a0geometrical approach for subspace clustering (Georges Atia, University of Central Florida, USA)<\/p>\n 11:30-11:50 <\/strong>A Non-Convex Relaxation for Fixed-Rank Approximation (20 min)<\/p>\n Carl Olsson (Lund University, Sweden), Marcus Carlsson\u00a0(Lund University, Sweden), Erik Bylow\u00a0(Lund University, Sweden)<\/p>\n 11:50-12:10 <\/strong>Robust and Scalable Column\/Row Sampling from Corrupted Big Data (20 min) Mostafa Ramani (University of Central Florida, USA), George Atia\u00a0(University of Central Florida, USA)<\/p>\n 12:10-12:30 <\/strong>Fast Approximate Karhunen-Loeve Transform for Three-Way Array Data (20 min)<\/p>\n Hayato Itoh (Nagoya University, Japan), Atsushi Imiya (IMIT Chiba University, Japan),Tomoya Sakai (Nagasaki University, Japan)<\/p>\n <\/p>\n 12:30-14:00<\/strong> Break 2 (Lunch) - 1h 30min<\/p>\n <\/p>\n 14:00-15:45<\/strong> Session 3: Incremental and weighted RPCA\u00a0<\/strong> (1h 45min)<\/p>\n 14:00-14:45<\/strong> Invited Talk<\/p>\n Incremental Robust Principal Component Analysis for Video Background Modeling via projections onto the L1-ball (Paul Rodriguez, PUCP, Peru)<\/p>\n 14:45-15:05\u00a0<\/strong> Weighted Low Rank Approximation for Background Estimation Problems (20 min)<\/p>\n Aritra Dutta (KAUST), Xin Li (University of Central Florida, USA)<\/p>\n 15:05-15:25 <\/strong>Panning and Jitter Invariant Incremental Principal Component Pursuit for Video Background Modeling (20 min)<\/p>\n Gustavo Chau (PUCP, Peru), Paul Rodriguez (PUCP, Peru)<\/p>\n 15:25-15:45<\/strong> A Batch-Incremental Video Background Estimation Model using Weighted Low-Rank Approximation of Matrices (20 min)<\/p>\n Aritra Dutta (KAUST), Xin Li (University of Central Florida, USA), Peter Richtarik (KAUST)<\/p>\n <\/p>\n 15:45-16:30<\/strong> - Break 3 (Coffee) - 45 min<\/p>\n <\/p>\n 16:30-18:00<\/strong> Session 4<\/strong> : Applications to background modeling\/background subtraction<\/strong> (1h 30min)<\/p>\n 16:30-17:00 <\/strong>Dynamic Mode Decomposition for Background Modeling (Nathan Kutz, University of Washington, USA)<\/p>\n 17:00-17:20 <\/strong>Background Subtraction via Fast Robust Matrix Completion (20 min)<\/p>\n Behnaz Rezaei\u00a0(Northeastern University), Sarah Ostadabbas\u00a0(Northeastern University)<\/p>\n 17:20-17:40 <\/strong>Compressed Singular Value Decomposition for Image and Video Processing (20 min)<\/p>\n Benjamin Erichson(University of Washington), Steven L. Brunton (University of Washington), Nathan Kutz (University of Washington)<\/p>\n 17h40-18:00<\/strong> UHD Video Super-Resolution using Low-Rank and Sparse Decomposition (20 min)<\/p>\n Salehe Erfanian Ebadi (Queen Mary University of London), Valia Guerra Ones (QMUL), Ebroul Izquierdo (QMUL)<\/p>\n <\/p>\n","protected":false},"excerpt":{"rendered":" 8:30-10:15 Session 1:\u00a0 Robust Subpace Learning\/Clustering and Dynamic RPCA (1h 45min) 8:30-8:35 Opening (5 min) 8:35-9:15 Invited Talk Dynamic Robust PCA and Applications in Video Analytics\u00a0 (Namrata Vaswani, Iowa state, USA) 9:15-9:35\u00a0 Learning Robust Representations for Computer Vision (20 min) Peng Zheng (University of Washington), Aleksandr Aravkin(University of Washington), Karthikeyan Natesan Ramamurthy(IBM Research), Jayaraman J. ...continue reading \"Program\"<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/rsl-cv.univ-lr.fr\/2017\/wp-json\/wp\/v2\/pages\/57"}],"collection":[{"href":"https:\/\/rsl-cv.univ-lr.fr\/2017\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/rsl-cv.univ-lr.fr\/2017\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/rsl-cv.univ-lr.fr\/2017\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/rsl-cv.univ-lr.fr\/2017\/wp-json\/wp\/v2\/comments?post=57"}],"version-history":[{"count":9,"href":"https:\/\/rsl-cv.univ-lr.fr\/2017\/wp-json\/wp\/v2\/pages\/57\/revisions"}],"predecessor-version":[{"id":214,"href":"https:\/\/rsl-cv.univ-lr.fr\/2017\/wp-json\/wp\/v2\/pages\/57\/revisions\/214"}],"wp:attachment":[{"href":"https:\/\/rsl-cv.univ-lr.fr\/2017\/wp-json\/wp\/v2\/media?parent=57"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
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