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TA.L5: Object Recognition

Session Type: Lecture
Time: Tuesday, September 27, 10:30 - 12:30
Location: Room 101 C
Session Chair: David Bull, University of Bristol
 
Presented 10:30 - 10:50
   TA.L5.1: INVARIANT MULTI-SCALE SHAPE DESCRIPTOR FOR OBJECT MATCHING AND RECOGNITION
         Haoran Xu; Soochow University
         Jianyu Yang; Soochow University
         Junsong Yuan; Nanyang Technological University
 
Presented 10:50 - 11:10
   TA.L5.2: EXPLOITING COARSE-TO-FINE MECHANISM FOR FINE-GRAINED RECOGNITION
         Yongzhong Wang; Institute of Automation, Chinese Academy of Sciences
         Xu-Yao Zhang; Institute of Automation, Chinese Academy of Sciences
         Yanming Zhang; Institute of Automation, Chinese Academy of Sciences
         Xinwen Hou; Institute of Automation, Chinese Academy of Sciences
         Cheng-Lin Liu; Institute of Automation, Chinese Academy of Sciences
 
Presented 11:10 - 11:30
   TA.L5.3: SELF-RESTRAINT OBJECT RECOGNITION BY MODEL BASED CNN LEARNING
         Yida Wang; Beijing University of Posts and Telecommunications
         Weihong Deng; Beijing University of Posts and Telecommunications
 
Presented 11:30 - 11:50
   TA.L5.4: OBJECT RECOGNITION SPEED IMPROVEMENT USING BITMAP-HOG
         Alireza Dehghani; Movidius Plc.
         David Moloney; Movidius Plc.
         Ivan Griffin; Emdalo Technologies
 
Presented 11:50 - 12:10
   TA.L5.5: FAST 2D-TO-3D MATCHING WITH CAMERA POSE VOTING FOR 3D OBJECT IDENTIFICATION
         Ruihan Bao; Data Science Research Laboratories, NEC Corporation
         Kota Iwamoto; Data Science Research Laboratories, NEC Corporation
 
Presented 12:10 - 12:30
   TA.L5.6: DISTRIBUTED OBJECT RECOGNITION IN SMART CAMERA NETWORKS
         Alireza Rahimpour; The University of Tennessee, Knoxville
         Ali Taalimi; The University of Tennessee, Knoxville
         Jiajia Luo; The University of Tennessee, Knoxville
         Hairong Qi; The University of Tennessee, Knoxville