Technical Program

TA-PE: Semantic and Deep Learning Segmentation

Session Type: Poster
Time: Tuesday, September 19, 10:30 - 12:00
Location: Poster Area E
Session Chair: Zhi Liu, Shanghai University
 
TA-PE.1: PROSTATE DETECTION AND SEGMENTATION BASED ON CONVOLUTIONAL NEURAL NETWORK AND TOPOLOGICAL DERIVATIVE
         Choongsang Cho; Korea Electronics Technology Institute
         Young Han Lee; Korea Electronics Technology Institute
         Sangkeun Lee; Chung-Ang University
 
TA-PE.2: NOISE-TOLERANT DEEP LEARNING FOR HISTOPATHOLOGICAL IMAGE SEGMENTATION
         Weizhi Li; Texas A&M University
         Xiaoning Qian; Texas A&M University
         Jim Ji; Texas A&M University
 
TA-PE.3: SEMANTIC IMAGE SEGMENTATION USING THE ICM ALGORITHM
         Lazhar Khelifi; University of Montreal
         Max Mignotte; University of Montreal
 
TA-PE.4: DENSELY CONNECTED DECONVOLUTIONAL NETWORK FOR SEMANTIC SEGMENTATION
         Jun Fu; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
         Jing Liu; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
         Yuhang Wang; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
         Hanqing Lu; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
 
TA-PE.5: CONVOLUTIONAL GATED RECURRENT NETWORKS FOR VIDEO SEGMENTATION
         Mennatullah Siam; University of Alberta
         Sepehr Valipour; University of Alberta
         Martin Jagersand; University of Alberta
         Nilanjan Ray; University of Alberta
 
TA-PE.6: OBJECT SEGMENTATION IN THE DEEP NEURAL NETWORK FEATURE DOMAIN FROM HIGHLY CLUTTERED NATURAL SCENES
         Hayder Yousif; University of Missouri-Columbia
         Zhihai He; University of Missouri-Columbia
         Roland Kays; North Carolina State University
 
TA-PE.7: SEMANTIC SEGMENTATION WITH MULTI-PATH REFINEMENT AND PYRAMID POOLING DILATED-RESNET
         Zhipeng Cui; Shanghai Jiao Tong University
         Qiao Zhang; Shanghai Jiao Tong University
         Shijie Geng; Shanghai Jiao Tong University
         Xiaoguang Niu; Shanghai Jiao Tong University
         Jie Yang; Shanghai Jiao Tong University
         Yu Qiao; Shanghai Jiao Tong University
 
TA-PE.8: SEMANTIC BOUNDARY REFINEMENT BY JOINT INFERENCE FROM EDGES AND REGIONS
         Chao Yang; University of Southern California
 
TA-PE.9: A JOINT MULTI-SCALE CONVOLUTIONAL NETWORK FOR FULLY AUTOMATIC SEGMENTATION OF THE LEFT VENTRICLE
         Qianqian Tong; Wuhan University
         Zhiyong Yuan; Wuhan University
         Xiangyun Liao; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
         Mianlun Zheng; Wuhan University
         Weixu Zhu; Wuhan University
         Guian Zhang; Wuhan University
         Munan Ning; Wuhan University
 
TA-PE.10: MULTISPECTRAL HUMAN CO-SEGMENTATION VIA JOINT CONVOLUTIONAL NEURAL NETWORKS
         Sungil Choi; Yonsei University
         Seungryong Kim; Yonsei University
         Kihong Park; Yonsei University
         Kwanghoon Sohn; Yonsei University