2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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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