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Single-Image Super-Resolution using Very Deep Convolutional Networks
Date: 2016/9/30             Browse: 590

Seminar topic: Single-Image Super-Resolution using Very Deep Convolutional Networks


Speaker: Prof. Kyoung Mu Lee

               Dept. of ECE, Seoul National University

Time: Sept. 30, 10:30 a.m. - 11:30 a.m.

Venue: Room 104, H2 Building



In this talk, highly accurate single-image super-resolution methods will be presented, which are based on very deep convolutional networks. Increasing the network depth enlarges the receptive field, resulting a significant improvement in accuracy. Our CNN models use weight layers, and by cascading small filters many times in deep network structures, contextual information over large image regions is exploited in an efficient way. With very deep networks, however, convergence speed becomes a critical issue during training. We propose a simple yet effective training procedure. We learn residuals only and use extremely high learning rates enabled by adjustable gradient clipping. We show that our proposed methods outperform existing deconvolution methods quantitatively as well as qualitatively.


Kyoung Mu Lee received the B.S. and M.S. Degrees from Seoul National University, Seoul, Korea in 1984 and 1986, respectively, and Ph. D. degree in Electrical Engineering from the University of Southern California in 1993. He is currently with the Dept. of ECE at Seoul National University as a professor. His primary research interests include scene understanding, object recognition, low-level vision, visual tracking, and visual navigation. He is currently serving as an AEIC (Associate Editor in Chief) of the IEEE TPAMI, an Area Editor of the Computer Vision and Image Understanding (CVIU), and has served as an Associate Editor of the IEEE TPAMI, the Machine Vision Application (MVA) Journal and the IPSJ Transactions on Computer Vision and Applications (CVA), and the IEEE Signal Processing Letter. He also has served as Area Chars of CVPR, ICCV, ECCV, and ACCV many times. He was a Distinguished Lecturer of the Asia-Pacific Signal and Information Processing Association (APSIPA) for 2012-2013. More information can be found on his homepage

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