ICIP 2017 | 2017 IEEE International Conference on Image Processing | 17-20 September 2017 | Beijing, China
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MA-PF: Object Detection I

Session Type: Poster
Time: Monday, September 18, 10:30 - 12:00
Location: Poster Area F
Session Chair: Zhengjun Zha, University of Science and Technology of China
 
  MA-PF.1: SO-BRIEF: FAST RECOGNITION OF RECTANGULAR OBJECTS
         Philippe Métais; ENSEEIHT
         Jian-Jiun Ding; National Taiwan University
 
  MA-PF.2: SALIENCY DETECTION VIA LOCAL SINGLE GAUSSIAN MODEL
         Nan Xu; School of Information and Communication Engineering, Dalian University of Technology
         Yanqing Guo; School of Information and Communication Engineering, Dalian University of Technology
         Xiangwei Kong; School of Information and Communication Engineering, Dalian University of Technology
 
  MA-PF.3: FAST AIRCRAFT DETECTION BASED ON REGION LOCATING NETWORK IN LARGE-SCALE REMOTE SENSING IMAGES
         Zhongxing Han; Institute of Software Chinese Academy of Sciences
         Hui Zhang; Institute of Software Chinese Academy of Sciences
         Jinfang Zhang; Institute of Software Chinese Academy of Sciences
         Xiaohui Hu; Institute of Software Chinese Academy of Sciences
 
  MA-PF.4: ANOMALY DETECTION IN THERMAL IMAGES USING DEEP NEURAL NETWORKS
         Lile Cai; Institute for Infocomm Research
         Yiqun Li; Institute for Infocomm Research
 
  MA-PF.5: ROBUST IMAGE-BASED CRACK DETECTION IN CONCRETE STRUCTURE USING MULTI-SCALE ENHANCEMENT AND VISUAL FEATURES
         Xiangzeng Liu; Xi’an Microelectronics Technology Institute
         Yunfeng Ai; University of Chinese Academy of Sciences
         Sebastian Scherer; Carnegie Mellon University
 
  MA-PF.6: MULTI-PART COMPACT BILINEAR CNN FOR PERSON RE-IDENTIFICATION
         Jian Liu; Shanghai Jiao Tong University
         Zhen Yang; Shanghai Jiao Tong University
         Tao Zhang; Shanghai Jiao Tong University
         Huilin Xiong; Shanghai Jiao Tong University
 
  MA-PF.7: TX-CNN: DETECTING TUBERCULOSIS IN CHEST X-RAY IMAGES USING CONVOLUTIONAL NEURAL NETWORK
         Chang Liu; University of Massachusetts, Lowell
         Yu Cao; University of Massachusetts, Lowell
         Marlon F. Alcantara; University of Massachusetts, Lowell
         Benyuan Liu; University of Massachusetts, Lowell
         Maria J. Brunette; University of Massachusetts, Lowell
         Jesus Peinado; Partners in Health Perú
         Walter H. Curioso; University of Washington
 
  MA-PF.8: A NOVEL FRAMEWORK TO INTEGRATE CONVOLUTIONAL NEURAL NETWORK WITH COMPRESSED SENSING FOR CELL DETECTION
         Yao Xue; University of Alberta
         Nilanjan Ray; University of Alberta
         Judith Hugh; University of Alberta
         Bigras Gilbert; University of Alberta
 
  MA-PF.9: INCORPORATING A LOCALLY ESTIMATED APPEARANCE MODEL IN THE GRAPH-CUTS ALGORITHM TO EXTRACT SMALL HEPATIC VESSELS
         Neda Sangsefidi; Shahed University
         Amir Hossein Foruzan; Shahed University
         Ardeshir Dolati; Shahed University
         Yen-Wei Chen; Ritsumeikan University
 
  MA-PF.10: IMPROVING CHANNEL FEATURES USING STATISTICAL ANALYSIS FOR PEDESTRIAN DETECTION
         Chen Zhang; Illinois Institute of Technology
         Joohee Kim; Illinois Institute of Technology
 
  MA-PF.11: MULTIVIEW PEDESTRIAN LOCALISATION VIA A PRIME CANDIDATE CHART BASED ON OCCUPANCY LIKELIHOODS
         Yuyao Yan; University of Liverpool
         Ming Xu; Xi'an Jiaotong University-Liverpool University
         Jeremy Smith; University of Liverpool