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
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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