ICIP 2017 | 2017 IEEE International Conference on Image Processing | 17-20 September 2017 | Beijing, China
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MA-L3: Contour-based Segmentation

Session Type: Lecture
Time: Monday, September 18, 10:30 - 12:30
Location: Room 307B
Session Chair: Haojie LI, Dalian University of Technology
 
  MA-L3.1: EFFICIENT CLOUD DETECTION IN REMOTE SENSING IMAGES USING EDGE-AWARE SEGMENTATION NETWORK AND EASY-TO-HARD TRAINING STRATEGY
         Kun Yuan; Institute of Automation, Chinese Academy of Sciences
         Gaofeng Meng; Institute of Automation, Chinese Academy of Sciences
         Dongcai Cheng; 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
 
  MA-L3.2: ROBUST ELLIPSE DETECTION VIA ARC SEGMENTATION AND CLASSIFICATION
         Huixu Dong; Nanyang Technological University
         I-Ming Chen; Nanyang Technological University
         Dilip K. Prasad; Nanyang Technological University
 
  MA-L3.3: A DIRECTED GRAPH APPROACH TO ACTIVE CONTOURS
         Adrian Barbu; Florida State University
 
  MA-L3.4: CIRCLE DETECTION BY ARC-SUPPORT LINE SEGMENTS
         Changsheng Lu; Southeast University
         Siyu Xia; Southeast University
         Wanming Huang; Joint Stars Technology CO., LTD
         Ming Shao; University of Massachusetts
         Yun Fu; Northeastern University
 
  MA-L3.5: IMAGE SEGMENTATION USING CONTOUR, SURFACE, AND DEPTH CUES
         Xiang Fu; University of Southern California
         Chen Chen; University of Southern California
         Jian Li; University of Southern California
         Changhu Wang; Toutiao AI Lab
         C.-C Jay Kuo; University of Southern California
 
  MA-L3.6: ENSEMBLE OF ACTIVE CONTOUR BASED IMAGE SEGMENTATION
         Wei Xu; Shanghai University
         Xiaodong Yue; Shanghai University
         Yufei Chen; Tongji University
         Marek Reformat; University of Alberta