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WP.PF: Object Recognition and Classification IV

Session Type: Poster
Time: Wednesday, September 18, 14:20 - 17:10
Location: Poster Area F
Session Chair: Fabrice Meriaudeau, University of Burgundy
 
Presented 14:20 - 15:20
 
  WP.PF.1: APPROXIMATE CONSTRAINT GENERATION FOR EFFICIENT STRUCTURED BOOSTING
         Guosheng Lin; The University of Adelaide
         Chunhua Shen; The University of Adelaide
         Anton van den Hengel; The University of Adelaide
 
  WP.PF.2: FEATURE SELECTION USING GRAPH CUTS BASED ON RELEVANCE AND REDUNDANCY
         Masato Ishii; NEC Corporation
         Atsushi Sato; NEC Corporation
 
  WP.PF.3: PLSA-BASED ZERO-SHOT LEARNING
         Wai Lam Hoo; University of Malaya
         Chee Seng Chan; University of Malaya
 
  WP.PF.4: TRAINING BOOSTING-LIKE ALGORITHMS WITH SEMI-SUPERVISED SUBSPACE LEARNING
         Jingsong Xu; Nanjing University of Science and Technology
         Qiang Wu; University of Technology, Sydney
         Jian Zhang; University of Technology, Sydney
         Fumin Shen; Nanjing University of Science and Technology
         Zhenmin Tang; Nanjing University of Science and Technology
 
  WP.PF.5: MULTIMODAL SEMI-SUPERVISED IMAGE CLASSIFICATION BY COMBINING TAG REFINEMENT, GRAPH-BASED LEARNING AND SUPPORT VECTOR REGRESSION
         Wenxuan Xie; Peking University
         Zhiwu Lu; Peking University
         Yuxin Peng; Peking University
         Jianguo Xiao; Peking University
 
  WP.PF.6: IMAGE CLASSIFICATION BASED ON BAG OF VISUAL GRAPHS
         Fernanda B. Silva; University of Campinas
         Siome Goldenstein; University of Campinas
         Salvatore Tabbone; Université de Lorraine
         Ricardo da S. Torres; University of Campinas
 
  WP.PF.7: SEMI-SUPERVISED LEARNING IN TRAFFIC SCENE SURVEILLANCE BASED ON LABEL-PROPAGATION
         Meng Liang; Beihang University
         Zhaoxiang Zhang; Beihang University
         Yunhong Wang; Beihang University
 
Presented 15:50 - 16:50
 
  WP.PF.8: VEHICLE TYPE CLASSIFICATION USING DISTRIBUTIONS OF STRUCTURAL AND APPEARANCE-BASED FEATURES
         Zhen Dong; Beijing Institute of Technology
         Yunde Jia; Beijing Institute of Technology
 
  WP.PF.9: MAXIMUM CORRENTROPY CRITERION FOR DISCRIMINATIVE DICTIONARY LEARNING
         Pengyi Hao; Waseda University
         Sei-ichiro Kamata; Waseda University
 
  WP.PF.10: GESTALT-INSPIRED FEATURES EXTRACTION FOR OBJECT CATEGORY RECOGNITION
         Patrycia Klavdianos; Queen Mary, University of London
         Alamin Mansouri; Université de Bourgogne
         Fabrice Mériaudeau; Université de Bourgogne
 
  WP.PF.11: DEPTH-EMBEDDED MULTIPLE POOLING FOR IMAGE CLASSIFICATION
         Zhen Zhou; Institute of Automation, Chinese Academy of Sciences
         Yongzhen Huang; Institute of Automation, Chinese Academy of Sciences
         Liang Wang; Institute of Automation, Chinese Academy of Sciences
         Tieniu Tan; Institute of Automation, Chinese Academy of Sciences
 
  WP.PF.12: IMAGE CLASSIFICATION USING OBJECT DETECTORS
         Thibaut Durand; Université Pierre et Marie Curie, UPMC-Sorbonne Universities, Laboratoire Informatique de Paris 6
         Nicolas Thome; Université Pierre et Marie Curie, UPMC-Sorbonne Universities, Laboratoire Informatique de Paris 6
         Matthieu Cord; Université Pierre et Marie Curie, UPMC-Sorbonne Universities, Laboratoire Informatique de Paris 6
         Sandra Avila; Université Pierre et Marie Curie, UPMC-Sorbonne Universities, Laboratoire Informatique de Paris 6; and Federal University of Minas Gerais, NPDI Lab
 
  WP.PF.13: DISCRIMINATIVE HIGH-LEVEL REPRESENTATIONS FOR SCENE CLASSIFICATION
         Lei Zhang; Harbin Engineering University
         Shouzhi Xie; Harbin Engineering University
         Xiantong Zhen; The University of Sheffield
 
  WP.PF.14: A LARGE-SCALE SOLAR IMAGE DATASET WITH LABELED EVENT REGIONS
         Michael Schuh; Montana State University
         Rafal Angryk; Montana State University
         Karthik Ganesan Pillai; Montana State University
         Juan Banda; Montana State University
         Petrus Martens; Montana State University
 
 
End-of-Session Forum (all presenters available for discussion) 16:50 - 17:10