54 citations · 460 across the 103 of their papers we have counts for
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Compressive Online Robust Principal Component Analysis with Optical Flow for Video Foreground-Background Separation
Srivatsa Prativadibhayankaram, Huynh Van Luong, Thanh-Ha Le +1
In the context of online Robust Principle Component Analysis (RPCA) for the video foreground-background separation, we propose a compressive online RPCA with optical flow that sepa…
Benchmarking Super-Resolution Algorithms on Real Data
Thomas Köhler, Michel Bätz, Farzad Naderi +3
Over the past decades, various super-resolution (SR) techniques have been developed to enhance the spatial resolution of digital images. Despite the great number of methodical cont…
Incorporating Prior Information in Compressive Online Robust Principal Component Analysis
Huynh Van Luong, Nikos Deligiannis, Jurgen Seiler +2
We consider an online version of the robust Principle Component Analysis (PCA), which arises naturally in time-varying source separations such as video foreground-background separa…