ICIP 2017 | 2017 IEEE International Conference on Image Processing | 17-20 September 2017 | Beijing, China
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MP-L7: Object Detection II

Session Type: Lecture
Time: Monday, September 18, 14:00 - 16:00
Location: Room 310
Session Chair: Sanghoon Lee, Yonsei University
 
  MP-L7.1: A UNIQUE TARGET REPRESENTATION AND VOTING MECHANISM FOR VISUAL TRACKING
         Changlin Xiao; The Ohio State University
         Alper Yilmaz; The Ohio State University
 
  MP-L7.2: HIERARCHICAL BILINEAR NETWORK FOR HIGH PERFORMANCE FACE DETECTION
         Jiangjing Lv; Chongqing Institute of Green and Intelligent Technology; University of Chinese Academy of Sciences
         Xiaohu Shao; Chongqing Institute of Green and Intelligent Technology; University of Chinese Academy of Sciences
         Junliang Xing; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
         Pengcheng Liu; Chongqing Institute of Green and Intelligent Technology
         Xiangdong Zhou; Chongqing Institute of Green and Intelligent Technology
         Xi Zhou; Chongqing Institute of Green and Intelligent Technology
 
  MP-L7.3: DETECTOR WITH FOCUS: NORMALIZING GRADIENT IN IMAGE PYRAMID
         Yonghyun Kim; POSTECH
         Bong-Nam Kang; POSTECH
         Daijin Kim; POSTECH
 
  MP-L7.4: ACCURATE SMALL OBJECT DETECTION VIA DENSITY MAP AIDED SALIENCY ESTIMATION
         Xiaoqun Zhou; Peking University
         Yuexian Zou; Peking University
         Yi Wang; Peking University
 
  MP-L7.5: SALIENCY DETECTION BY FORWARD AND BACKWARD CUES IN DEEP-CNN
         Nevrez Imamoglu; National Institute of Advanced Industrial Science and Technology
         Chi Zhang; Jiangxi University of Finance and Economics
         Wataru Shimoda; National Institute of Advanced Industrial Science and Technology
         Yuming Fang; Jiangxi University of Finance and Economics
         Boxin Shi; National Institute of Advanced Industrial Science and Technology
 
  MP-L7.6: AUTOMATIC MARTIAN DUST STORM DETECTION VIA DECISION LEVEL FUSION BASED ON DEEP EXTREME LEARNING MACHINE
         Keisuke Maeda; Hokkaido University
         Takahiro Ogawa; Hokkaido University
         Miki Haseyama; Hokkaido University