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
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Presented 14:20 - 15:20 |
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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 |
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WP.PF.2: FEATURE SELECTION USING GRAPH CUTS BASED ON RELEVANCE AND REDUNDANCY |
Masato Ishii; NEC Corporation |
Atsushi Sato; NEC Corporation |
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WP.PF.3: PLSA-BASED ZERO-SHOT LEARNING |
Wai Lam Hoo; University of Malaya |
Chee Seng Chan; University of Malaya |
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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 |
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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 |
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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 |
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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 |
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Presented 15:50 - 16:50 |
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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 |
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WP.PF.9: MAXIMUM CORRENTROPY CRITERION FOR DISCRIMINATIVE DICTIONARY LEARNING |
Pengyi Hao; Waseda University |
Sei-ichiro Kamata; Waseda University |
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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 |
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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 |
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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 |
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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 |
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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 |
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End-of-Session Forum (all presenters available for discussion) 16:50 - 17:10 |