Technical Program

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MA.P9: Object Recognition I

Session Type: Poster
Time: Monday, October 8, 10:30 - 12:10
Location: Poster Area 9
Session Chair: Ilias Maglogiannis, University of Piraeus
 
 MA.P9.1: AFFINE MOMENT INVARIANTS OF VECTOR FIELDS
         Jitka Kostková; Czech Academy of Sciences, Institute of Information Theory and Automation
         Tomáš Suk; Czech Academy of Sciences, Institute of Information Theory and Automation
         Jan Flusser; Czech Academy of Sciences, Institute of Information Theory and Automation
 
 MA.P9.2: SUPERPIXEL-BASED CLASSIFICATION OF OCCLUSAL CARIES PHOTOGRAPHY
         Konstantinos Moutselos; University of Piraeus
         Elias Berdouses; National and Kapodistrian University of Athens
         Constantine Oulis; National and Kapodistrian University of Athens
         Ilias Maglogiannis; University of Piraeus
 
 MA.P9.3: A UNIFIED FRAMEWORK FOR FAULT DETECTION OF FREIGHT TRAIN IMAGES UNDER COMPLEX ENVIRONMENT
         Yang Zhang; Nanjing University
         Kai Lin; Hubei University of Technology
         Huiming Zhang; Nanjing University
         Yanwen Guo; Nanjing University
         Guodong Sun; Hubei University of Technology
 
 MA.P9.4: BEST SOURCES FORWARD: DOMAIN GENERALIZATION THROUGH SOURCE-SPECIFIC NETS
         Massimiliano Mancini; Sapienza University of Rome
         Samuel Rota Bulò; Mapillary Research
         Barbara Caputo; Italian Institute of Technology
         Elisa Ricci; University of Trento
 
 MA.P9.5: EXPERIMENTALLY DEFINED CONVOLUTIONAL NEURAL NETWORK ARCHITECTURE VARIANTS FOR NON-TEMPORAL REAL-TIME FIRE DETECTION
         Andrew Dunnings; Durham University
         Toby Breckon; Durham University
 
 MA.P9.6: FD-MOBILENET: IMPROVED MOBILENET WITH A FAST DOWNSAMPLING STRATEGY
         Zheng Qin; National University of Defense Technology
         Zhaoning Zhang; National University of Defense Technology
         Xiaotao Chen; National University of Defense Technology
         Changjian Wang; National University of Defense Technology
         Yuxing Peng; National University of Defense Technology
 
 MA.P9.7: LEARNING WITH A GENERATIVE ADVERSARIAL NETWORK FROM A POSITIVE UNLABELED DATASET FOR IMAGE CLASSIFICATION
         Florent Chiaroni; CNRS-CentraleSupelec-Université Paris-Sud-Université Paris-Saclay, and VEDECOM Institute
         Mohamed-Cherif Rahal; VEDECOM Institute
         Nicolas Hueber; French-German Research Institute of Saint-Louis (ISL)
         Frédéric Dufaux; CNRS-CentraleSupelec-Université Paris-Sud-Université Paris-Saclay
 
 MA.P9.8: MULTI-SCALE PIECEWISE LINE INTEGRAL STRATEGY FOR STRUCTURE INTEGRAL TRANSFORM
         Ying Liu; Wuhan University of Technology
         Yi Rong; Wuhan University of Technology
         Yongsheng Gao; Griffith University
         Jishan Guo; Wuhan University of Technology
         Shengwu Xiong; Wuhan University of Technology