Technical Program
WA-L9: Up-sampling and Super-resolution |
Session Type: Lecture |
Time: Wednesday, September 20, 10:30 - 12:30 |
Location: Room 311B |
Session Chair: Yang Cao, University of Science and Technology of China |
WA-L9.1: REGULARIZED SELECTION: A NEW PARADIGM FOR INVERSE BASED REGULARIZED IMAGE RECONSTRUCTION TECHNIQUES |
Florentin Kucharczak; LIRMM |
Cyril Mory; Creatis |
Olivier Strauss; LIRMM |
Comby Frederic; LIRMM |
Denis Mariano-Goulart; CHRU Lapeyronie |
WA-L9.2: VIDEO SUPER-RESOLUTION USING MOTION COMPENSATION AND RESIDUAL BIDIRECTIONAL RECURRENT CONVOLUTIONAL NETWORK |
Dingyi Li; University of Science and Technology of China |
Yu Liu; Hefei University of Technology |
Zengfu Wang; Chinese Academy of Sciences |
WA-L9.3: DCT-BASED IMAGE UP-SAMPLING USING ANCHORED NEIGHBORHOOD REGRESSION |
Kwok-Wai Hung; Shenzhen University |
Jianmin Jiang; Shenzhen University |
Qinglong Chang; Shenzhen University |
Xu Wang; Shenzhen University |
WA-L9.4: VARIATION LEARNING GUIDED CONVOLUTIONAL NETWORK FOR IMAGE INTERPOLATION |
Wenhan Yang; Peking University |
Jiaying Liu; Peking University |
Sifeng Xia; Peking University |
Zongming Guo; Peking University |
WA-L9.5: FACE HALLUCINATION USING REGION-BASED DEEP CONVOLUTIONAL NETWORKS |
Tao Lu; Wuhan Institute of Technology |
Hao Wang; Wuhan Institute of Technology |
Zixiang Xiong; Texas A&M University |
Junjun Jiang; China University of Geosciences |
Yanduo Zhang; Wuhan Institute of Technology |
Huabing Zhou; Wuhan Institute of Technology |
Zhongyuan Wang; Wuhan University |
WA-L9.6: DEPTH UPSAMPLING BY DEPTH PREDICTION |
Atsuhiko Tsuchiya; Tokyo University of Science |
Daisuke Sugimura; Tokyo University of Science |
Takayuki Hamamoto; Tokyo University of Science |