ICIP 2017 | 2017 IEEE International Conference on Image Processing | 17-20 September 2017 | Beijing, China
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WP-PE: Texture Analysis

Session Type: Poster
Time: Wednesday, September 20, 14:30 - 16:00
Location: Poster Area E
Session Chair: Ghassan AlRegib, Georgia Institute of Technology
 
  WP-PE.1: MULTI-VIEW DEEP METRIC LEARNING FOR IMAGE CLASSIFICATION
         Dewei Li; University of Chinese Academy of Sciences
         Jingjing Tang; University of Chinese Academy of Sciences
         Yingjie Tian; Chinese Academy of Sciences
         Xuchan Ju; Tsinghua University
 
  WP-PE.2: TRAJECTORIES-BASED MOTION NEIGHBORHOOD FEATURE FOR HUMAN ACTION RECOGNITION
         Xiang Xiao; School of Electronic and Information Engineering, Sun Yat-sen University
         Haifeng Hu; School of Electronic and Information Engineering, Sun Yat-sen University
         Weixuan Wang; School of Electronic and Information Engineering, Sun Yat-sen University
 
  WP-PE.3: DYNAMIC TEXTURE RECOGNITION USING MULTISCALE PCA-LEARNED FILTERS
         Xiaochao Zhao; Hunan University
         Yaping Lin; Hunan University
         Janne Heikkila; University of Oulu
 
  WP-PE.4: KERNEL GENERALIZED GAUSSIAN AND ROBUST STATISTICAL LEARNING FOR ABNORMALITY DETECTION IN MEDICAL IMAGES
         Nitin Kumar; Indian Institute of Technology (IIT) Bombay
         Ajit V. Rajwade; Indian Institute of Technology (IIT) Bombay
         Sharat Chandran; Indian Institute of Technology (IIT) Bombay
         Suyash P. Awate; Indian Institute of Technology (IIT) Bombay
 
  WP-PE.5: MALIGNANCY CHARACTERIZATION OF HEPATOCELLULAR CARCINOMA USING HYBRID TEXTURE AND DEEP FEATURES
         Qiyao Wang; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
         Lijuan Zhang; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
         Yaoqin Xie; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
         Hairong Zheng; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
         Wu Zhou; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences