ICIP 2017 | 2017 IEEE International Conference on Image Processing | 17-20 September 2017 | Beijing, China
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MQ-L3: Segmentation Using Deep Learning

Session Type: Lecture
Time: Monday, September 18, 16:30 - 18:10
Location: Room 307B
Session Chair: Adrian Barbu, Florida State University
 
  MQ-L3.1: CONTEXT-AWARE CASCADE NETWORK FOR SEMANTIC LABELING IN VHR IMAGE
         Yongcheng Liu; Institute of Automation, Chinese Academy of Sciences
         Bin Fan; Institute of Automation, Chinese Academy of Sciences
         Lingfeng Wang; Institute of Automation, Chinese Academy of Sciences
         Jun Bai; 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
 
  MQ-L3.2: MICROVASCULATURE SEGMENTATION OF ARTERIOLES USING DEEP CNN
         Yasmin Kassim; University of Missouri
         V. B. Surya Prasath; University of Missouri-Columbia
         Olga V. Glinskii; University of Missouri-Columbia
         Vladislav V. Glinsky; University of Missouri-Columbia
         Virginia H. Huxley; University of Missouri-Columbia
         Kannappan Palaniappan; University of Missouri-Columbia
 
  MQ-L3.3: DEEP CNN WITH COLOR LINES MODEL FOR UNMARKED ROAD SEGMENTATION
         Shashank Yadav; Indian Institute of Technology Delhi
         Suvam Patra; Indian Institute of Technology Delhi
         Chetan Arora; Indraprastha Institute of Information Technology Delhi
         Subhashis Banerjee; Indian Institute of Technology Delhi
 
  MQ-L3.4: VOLUME SEGMENTATION USING CONVOLUTIONAL NEURAL NETWORKS WITH LIMITED TRAINING DATA
         Hsueh-Chien Cheng; University of Maryland
         Amitabh Varshney; University of Maryland