Technical Program

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MP.P6: Segmentation using Deep Learning

Session Type: Poster
Time: Monday, October 8, 14:10 - 15:50
Location: Poster Area 6
Session Chair: Tinghuai Wang, Nokia Labs
 
 MP.P6.1: GRANET : GLOBAL REFINEMENT ATROUS CONVOLUTIONAL NEURAL NETWORK FOR SEMANTIC SCENE SEGMENTATION
         Feng Zhou; Beihang University
         Yong Hu; Beihang University
         Xukun Shen; Beihang University
 
 MP.P6.2: DENSE DECONVOLUTIONAL NETWORK FOR SEMANTIC SEGMENTATION
         Wenbin Yang; Nanjing University of Posts and Telecommunications
         Quan Zhou; Nanjing University of Posts and Telecommunications
         Jingnan Lu; Nanjing University of Posts and Telecommunications
         Xiaofu Wu; Nanjing University of Posts and Telecommunications
         Suofei Zhang; Nanjing University of Posts and Telecommunications
         Longin Jan Latecki; Temple University
 
 MP.P6.3: DEEP LEARNING BASED SUPERVISED SEMANTIC SEGMENTATION OF ELECTRON CRYO-SUBTOMOGRAMS
         Chang Liu; Carnegie Mellon University
         Xiangrui Zeng; Carnegie Mellon University
         Ruogu Lin; Tsinghua University
         Xiaodan Liang; Carnegie Mellon University
         Zachary Freyberg; University of Pittsburgh
         Eric Xing; Carnegie Mellon University
         Min Xu; Carnegie Mellon University
 
 MP.P6.4: ADVERSARIAL DOMAIN ADAPTATION WITH A DOMAIN SIMILARITY DISCRIMINATOR FOR SEMANTIC SEGMENTATION OF URBAN AREAS
         Liang Yan; Institute of Automation, Chinese Academy of Sciences
         Bin Fan; Institute of Automation, Chinese Academy of Sciences
         Shiming Xiang; Institute of Automation, Chinese Academy of Sciences
         Chunhong Pan; Institute of Automation, Chinese Academy of Sciences
 
 MP.P6.5: TREE HIERARCHICAL CNNS FOR OBJECT PARSING
         Xiaomei Zhang; National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
         Yingying Chen; National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
         Bingke Zhu; National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
         Jinqiao Wang; National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
         Ming Tang; National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
         Hanqing Lu; National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
 
 MP.P6.6: MULTIPLE SKIP CONNECTIONS OF DILATED CONVOLUTION NETWORK FOR SEMANTIC SEGMENTATION
         Takayoshi Yamashita; Chubu University
         Hironori Furukawa; Chubu University
         Hironobu Fujiyoshi; Chubu University
 
 MP.P6.7: A FUSION ALGORITHM: FULLY CONVOLUTIONAL NETWORKS AND STUDENT’S-T MIXTURE MODEL FOR BRAIN MAGNETIC RESONANCE IMAGING SEGMENTATION
         Jiawei Lai; East China University of Science and Technology
         Hongqing Zhu; East China University of Science and Technology
 
 MP.P6.8: RTSEG: REAL-TIME SEMANTIC SEGMENTATION COMPARATIVE STUDY
         Mennatullah Siam; University of Alberta
         Mostafa Gamal; Cairo University
         Moemen AbdelRazek; Cairo University
         Senthil Yogamani; Valeo Vision Systems
         Martin Jagersand; University of Alberta