ICIP 2017 | 2017 IEEE International Conference on Image Processing | 17-20 September 2017 | Beijing, China
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TQ-L3: Semantic Segmentation

Session Type: Lecture
Time: Tuesday, September 19, 16:30 - 18:10
Location: Room 307B
Session Chair: Kannappan Palaniappan, Univ. of Missouri-Columbia
 
  TQ-L3.1: SEMANTICS-GUIDED MULTI-LEVEL RGB-D FEATURE FUSION FOR INDOOR SEMANTIC SEGMENTATION
         Yabei Li; Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, University of Chinese Academy of Sciences
         Junge Zhang; Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, University of Chinese Academy of Sciences
         Yanhua Cheng; Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, University of Chinese Academy of Sciences
         Kaiqi Huang; Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, University of Chinese Academy of Sciences
         Tieniu Tan; Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, University of Chinese Academy of Sciences
 
  TQ-L3.2: LEARNABLE CONTEXTUAL REGULARIZATION FOR SEMANTIC SEGMENTATION OF INDOOR SCENE IMAGES
         Jun Chu; Nanchang Hangkong University
         Xu Xiao; Nanchang Hangkong University
         Gaofeng Meng; Institute of Automation, Chinese Academy of Sciences
         Lingfeng Wang; Institute of Automation, Chinese Academy of Sciences
         Chunhong Pan; Institute of Automation, Chinese Academy of Sciences
 
  TQ-L3.3: IMPROVING THE DISCRIMINATION BETWEEN FOREGROUND AND BACKGROUND FOR SEMANTIC SEGMENTATION
         Yu Liu; Leiden University
         Michael S. Lew; Leiden University
 
  TQ-L3.4: WEAKLY SUPERVISED FOOD IMAGE SEGMENTATION USING CLASS ACTIVATION MAPS
         Yu Wang; Purdue University
         Fengqing Zhu; Purdue University
         Carol Boushey; University of Hawaii
         Edward Delp; Purdue University
 
  TQ-L3.5: SEMANTIC SEGMENTATION BASED ON ITERATIVE CONTRACTION AND MERGING
         Tzu-Hao Yang; National Chiao Tung University
         Jia-Hao Syu; National Chiao Tung University
         Sheng-Jyh Wang; National Chiao Tung University