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My ICASSP 2019 Schedule

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SS-P3: 3D Vision and its Applications

Session Type: Poster
Time: Thursday, May 16, 13:00 - 15:00
Location: Poster Area E, Meeting Room 1A
Session Chairs: You Yang, Wuhan, Qifei Wang, Google and Dong Tian, Princeton
 
  SS-P3.1: FAST CODING UNIT DECISION FOR INTRA SCREEN CONTENT CODING BASED ON ENSEMBLE LEARNING
         Yali Xue; Shenzhen University
         Xu Wang; Shenzhen University
         Linwei Zhu; Chinese Academy of Sciences
         Zhaoqing Pan; Nanjing University of Information Science and Technology
         Sam Kwong; City University of Hong Kong
 
  SS-P3.2: INTERACTIVE SUBJECTIVE STUDY ON PICTURE-LEVEL JUST NOTICEABLE DIFFERENCE OF COMPRESSED STEREOSCOPIC IMAGES
         Chunling Fan; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences; Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences
         Yun Zhang; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
         Raouf Hamzaoui; De Montfort University
         Qingshan Jiang; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
 
  SS-P3.3: 3D POINT CLOUD DENOISING VIA DEEP NEURAL NETWORK BASED LOCAL SURFACE ESTIMATION
         Chaojing Duan; Carnegie Mellon University
         Siheng Chen; Mitsubishi Electric Research Laboratories
         Jelena Kovačević; New York University
 
  SS-P3.4: A MARKERLESS BODY MOTION CAPTURE SYSTEM FOR CHARACTER ANIMATION BASED ON MULTI-VIEW CAMERAS
         Jinbao Wang; University of Chinese Academy of Sciences
         Ke Lyu; University of Chinese Academy of Sciences
         Jian Xue; University of Chinese Academy of Sciences
         Pengcheng Gao; University of Chinese Academy of Sciences
         Yanfu Yan; University of Chinese Academy of Sciences
 
  SS-P3.5: LIGHT FIELD IMAGE COMPRESSION USING DEPTH-BASED CNN IN INTRA PREDICTION
         Tingting Zhong; Tsinghua University
         Xin Jin; Tsinghua University
         Lingjun Li; Tsinghua University
         Qionghai Dai; Tsinghua University
 
  SS-P3.6: OPTIMIZED COLOR-GUIDED FILTER FOR DEPTH IMAGE DENOISING
         Mostafa Ibrahim; Minia University
         Qiong Liu; Huazhong University of Science and Technology
 
  SS-P3.7: SEMI-SUPERVISED DEPTH ESTIMATION FROM A SINGLE IMAGE BASED ON CONFIDENCE LEARNING
         Hu Tian; Fujitsu Research & Development Center Co., Ltd.
         Fei Li; Fujitsu Research & Development Center Co., Ltd.