Technical Program

WP-L8: Real-world Visual Content Modeling and Understanding for Unmanned Systems

Session Type: Lecture
Time: Wednesday, September 20, 14:00 - 16:00
Location: Room 311A
Session Chairs: C. L. Philip Chen, University of Macau, Hamid Sheikh, Samsung, Guang-Bin Huang, Nanyang Technological University and Chenwei Deng, Beijing Institute of Technology
 
WP-L8.1: SHALLOW AND DEEP CONVOLUTIONAL NETWORKS FOR IMAGE SUPER-RESOLUTION
         Ru Fan; Tianjin University
         Sumei Li; Tianjin University
         Guoqing Lei; Tianjin University
         Guanghui Yue; Tianjin University
 
WP-L8.2: REDUCED-REFERENCE QUALITY METRIC FOR SCREEN CONTENT IMAGE
         Zhaohui Che; Shanghai Jiao Tong University
         Guangtao Zhai; Shanghai Jiao Tong University
         Ke Gu; Beijing University of Technology
         Patrick Le Callet; Universit√© de Nantes
 
WP-L8.3: ELMNET: FEATURE LEARNING USING EXTREME LEARNING MACHINES
         Dongshun Cui; Nanyang Technological University
         Guang-Bin Huang; Nanyang Technological University
         L.L. Chamara Kasun; Nanyang Technological University
         Guanghao Zhang; Nanyang Technological University
         Wei Han; Nanyang Technological University
 
WP-L8.4: FROM FOOT TO HEAD: ACTIVE FACE FINDING USING DEEP Q-LEARNING
         Hui Zhang; Tsinghua University
         Huaping Liu; Tsinghua University
         Di Guo; Tsinghua University
         Fuchun Sun; Tsinghua University
 
WP-L8.5: ADAPTIVE FEATURE REPRESENTATION FOR VISUAL TRACKING
         Yuqi Han; Beijing Key Laboratory of Embedded Real-time Information Processing Technique
         Chenwei Deng; Beijing Key Laboratory of Embedded Real-time Information Processing Technique
         Zengshuo Zhang; Beijing Key Laboratory of Embedded Real-time Information Processing Technique
         Jiatong Li; Beijing Key Laboratory of Embedded Real-time Information Processing Technique
         Baojun Zhao; Beijing Key Laboratory of Embedded Real-time Information Processing Technique
 
WP-L8.6: STABLE AND IMPROVED GENERATIVE ADVERSARIAL NETS (GANS): A CONSTRUCTIVE SURVEY
         Guanghao Zhang; Nanyang Technology University
         Enmei Tu; Nanyang Technology University
         Dongshun Cui; Nanyang Technology University