8:30-10:15 Session 1: 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 (Namrata Vaswani, Iowa state, USA)
9:15-9:35 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. Thiagarajan (Lawrence Livermore National Laboratory)
9:35-9:55 Variational Robust Subspace Clustering with Mean Update Algorithm (20 min)
Sergej Dogadov (TU Berlin, Germany), Andres Masegosa (University of Almeria, Spain), Shinichi Nakajima (TU Berlin, Germany)
9:55-10:15 Manifold Constrained Low Rank Decomposition (20 min)
Chen Chen (University of Texas, Dallas, USA)
10:15-11:00 Break 1 (Coffee) - 45 min
11:00-12:30 Session 2: Robust Subspace Representation (1h 30min)
11:00-11:30 Invited Talk Innovation pursuit: A new geometrical approach for subspace clustering (Georges Atia, University of Central Florida, USA)
11:30-11:50 A Non-Convex Relaxation for Fixed-Rank Approximation (20 min)
Carl Olsson (Lund University, Sweden), Marcus Carlsson (Lund University, Sweden), Erik Bylow (Lund University, Sweden)
11:50-12:10 Robust and Scalable Column/Row Sampling from Corrupted Big Data (20 min)
Mostafa Ramani (University of Central Florida, USA), George Atia (University of Central Florida, USA)
12:10-12:30 Fast Approximate Karhunen-Loeve Transform for Three-Way Array Data (20 min)
Hayato Itoh (Nagoya University, Japan), Atsushi Imiya (IMIT Chiba University, Japan),Tomoya Sakai (Nagasaki University, Japan)
12:30-14:00 Break 2 (Lunch) - 1h 30min
14:00-15:45 Session 3: Incremental and weighted RPCA (1h 45min)
14:00-14:45 Invited Talk
Incremental Robust Principal Component Analysis for Video Background Modeling via projections onto the L1-ball (Paul Rodriguez, PUCP, Peru)
14:45-15:05 Weighted Low Rank Approximation for Background Estimation Problems (20 min)
Aritra Dutta (KAUST), Xin Li (University of Central Florida, USA)
15:05-15:25 Panning and Jitter Invariant Incremental Principal Component Pursuit for Video Background Modeling (20 min)
Gustavo Chau (PUCP, Peru), Paul Rodriguez (PUCP, Peru)
15:25-15:45 A Batch-Incremental Video Background Estimation Model using Weighted Low-Rank Approximation of Matrices (20 min)
Aritra Dutta (KAUST), Xin Li (University of Central Florida, USA), Peter Richtarik (KAUST)
15:45-16:30 - Break 3 (Coffee) - 45 min
16:30-18:00 Session 4 : Applications to background modeling/background subtraction (1h 30min)
16:30-17:00 Dynamic Mode Decomposition for Background Modeling (Nathan Kutz, University of Washington, USA)
17:00-17:20 Background Subtraction via Fast Robust Matrix Completion (20 min)
Behnaz Rezaei (Northeastern University), Sarah Ostadabbas (Northeastern University)
17:20-17:40 Compressed Singular Value Decomposition for Image and Video Processing (20 min)
Benjamin Erichson(University of Washington), Steven L. Brunton (University of Washington), Nathan Kutz (University of Washington)
17h40-18:00 UHD Video Super-Resolution using Low-Rank and Sparse Decomposition (20 min)
Salehe Erfanian Ebadi (Queen Mary University of London), Valia Guerra Ones (QMUL), Ebroul Izquierdo (QMUL)