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