ICIP 2017 | 2017 IEEE International Conference on Image Processing | 17-20 September 2017 | Beijing, China
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TA-L9: Image Super-resolution

Session Type: Lecture
Time: Tuesday, September 19, 10:30 - 12:30
Location: Room 311B
Session Chair: Xiaolin Wu, McMaster University
 
  TA-L9.1: IMAGE SUPER-RESOLUTION VIA DEEP DILATED CONVOLUTIONAL NETWORKS
         Zehao Huang; Institute of Automation, Chinese Academy of Sciences
         Lingfeng Wang; Institute of Automation, Chinese Academy of Sciences
         Gaofeng Meng; Institute of Automation, Chinese Academy of Sciences
         Chunhong Pan; Institute of Automation, Chinese Academy of Sciences
 
  TA-L9.2: LARGE RECEPTIVE FIELD CONVOLUTIONAL NEURAL NETWORK FOR IMAGE SUPER-RESOLUTION
         Qiang Wang; Shenyang Institute of Automation, Chinese Academy of Sciences
         Huijie Fan; Shenyang Institute of Automation, Chinese Academy of Sciences
         Yang Cong; Shenyang Institute of Automation, Chinese Academy of Sciences
         Yandong Tang; Shenyang Institute of Automation, Chinese Academy of Sciences
 
  TA-L9.3: HYPERSPECTRAL IMAGE SUPER-RESOLUTION BASED ON NON-FACTORIZATION SPARSE REPRESENTATION AND DICTIONARY LEARNING
         Xiaolin Han; Tsinghua University
         Jing Yu; Beijing University of Technology
         Weidong Sun; Tsinghua University
 
  TA-L9.4: DEEP NETWORK FOR IMAGE SUPER-RESOLUTION WITH A DICTIONARY LEARNING LAYER
         Yang Liu; University of Cambridge
         Qingchao Chen; University College London
         Ian Wassell; University of Cambridge
 
  TA-L9.5: JOINT NONLOCAL SPARSE REPRESENTATION FOR DEPTH MAP SUPER-RESOLUTION
         Yeda Zhang; Tianjin University
         Yuan Zhou; Tianjin University
         Aihua Wang; Tianjin University
         Qiong Wu; Tianjin University
         Chunping Hou; Tianjin University
 
  TA-L9.6: SINGLE IMAGE SUPER-RESOLUTION WITH DILATED CONVOLUTION BASED MULTI-SCALE INFORMATION LEARNING INCEPTION MODULE
         Wuzhen Shi; Harbin Institute of Technology
         Feng Jiang; Harbin Institute of Technology
         Debin Zhao; Harbin Institute of Technology