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My ICIP 2021 Schedule

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TEC-4: Super-resolution

Session Type: Poster
Time: Wednesday, September 22, 14:30 - 16:00
Location: Area G
Session Chair: Ming-Ching Chang, University at Albany
 
   TEC-4.1: DEEP BLIND UN-SUPERVISED LEARNING NETWORK FOR SINGLE IMAGE SUPER RESOLUTION
         Kazuhiro Yamawaki; Yamaguchi University
         Xian-Hua Han; Yamaguchi University
 
   TEC-4.3: SINGLE IMAGE SUPER-RESOLUTION VIA GLOBAL-CONTEXT ATTENTION NETWORKS
         Pengcheng Bian; Zhejiang Normal University
         Zhonglong Zheng; Zhejiang Normal University
         Dawei Zhang; Zhejiang Normal University
         Liyuan Chen; Zhejiang Normal University
         Minglu Li; Zhejiang Normal University
 
   TEC-4.4: EXPLORE CONNECTION PATTERN AND ATTENTION MECHANISM FOR LIGHTWEIGHTIMAGE SUPER-RESOLUTION
         Zhu Qin; Chongqing University
         Taiping Zhang; Chongqing University
 
   TEC-4.5: RECOVER THE RESIDUAL OF RESIDUAL: RECURRENT RESIDUAL REFINEMENT NETWORK FOR IMAGE SUPER-RESOLUTION
         Tianxiao Gao; Peking University
         Ruiqin Xiong; Peking University
         Rui Zhao; Peking University
         Jian Zhang; Peking University
         Shuyuan Zhu; University of Electronic Science and Technology of China
         Tiejun Huang; Peking University
 
   TEC-4.6: A FAST AND EFFICIENT SUPER-RESOLUTION NETWORK USING HIERARCHICAL DENSE RESIDUAL LEARNING
         Vinh Van Duong; Sungkyunkwan University
         Thuc Nguyen Huu; Sungkyunkwan University
         Jonghoon Yim; Sungkyunkwan University
         Byeungwoo Jeon; Sungkyunkwan University
 
   TEC-4.7: BINARIZING SUPER-RESOLUTION NETWORKS BY PIXEL-CORRELATION KNOWLEDGE DISTILLATION
         Qiu Huang; Zhejiang University
         Yuxin Zhang; Zhejiang University
         Haoji Hu; Zhejiang University
         Yongdong Zhu; Zhejiang Lab
         Zhifeng Zhao; Zhejiang Lab
 
   TEC-4.8: TWO-WAY GUIDED SUPER-RESOLUTION RECONSTRUCTION NETWORK BASED ON GRADIENT PRIOR
         Yanhong Liu; Tianjin University
         Sumei Li; Tianjin University
         Anqi Liu; Tianjin University
 
   TEC-4.9: A GRAPH NEURAL NETWORK FOR MULTIPLE-IMAGE SUPER-RESOLUTION
         Tomasz Tarasiewicz; Silesian University of Technology
         Jakub Nalepa; Silesian University of Technology
         Michal Kawulok; Silesian University of Technology
 
   TEC-4.10: 360° SINGLE IMAGE SUPER RESOLUTION VIA DISTORTION-AWARE NETWORK AND DISTORTED PERSPECTIVE IMAGES
         Akito Nishiyama; University of Tokyo
         Satoshi Ikehata; National Institute of Informatics
         Kiyoharu Aizawa; University of Tokyo
 
   TEC-4.11: ENHANCED BACK PROJECTION NETWORK BASED STEREO IMAGE SUPER-RESOLUTION CONSIDERING PARALLAX ATTENTION
         Li Ma; Tianjin University
         Sumei Li; Tianjin University
 
   TEC-4.12: DEPTH MAP SUPER-RESOLUTION BY MULTI-DIRECTION DICTIONARY AND JOINT REGULARIZATION
         Wei Xu; Faculty of Information Technology
         Jin Wang; Faculty of Information Technology
         Longhua Sun; Faculty of Information Technology
         Qing Zhu; Faculty of Information Technology