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TP.L7: Deep Learning for Detection and Classification I

Session Type: Lecture
Time: Tuesday, September 27, 14:00 - 17:10
Location: Room 102 A
Session Chair: Sabine Susstrunk, École Polytechnique Fédérale de Lausanne (EPFL)
 
Presented 14:00 - 14:20
   TP.L7.1: TEXT DETECTION BASED ON CONVOLUTIONAL NEURAL NETWORKS WITH SPATIAL PYRAMID POOLING
         Rui Zhu; Nanjing University
         Xiao-Jiao Mao; Nanjing University
         Qi-Hai Zhu; Nanjing University
         Ning Li; Nanjing University
         Yu-Bin Yang; Nanjing University
 
Presented 14:20 - 14:40
   TP.L7.2: ACCELERATE CONVOLUTIONAL NEURAL NETWORKS FOR BINARY CLASSIFICATION VIA CASCADING COST-SENSITIVE FEATURE
         Junbiao Pang; Beijing University of Technology
         Huihuang Lin; Beijing University of Technology
         Su Li; Chinese Academy of Sciences
         Chunjie Zhang; Chinese Academy of Sciences
         Weigang Zhang; Harbin Institute of Technology
         Lijuan Duan; Beijing University of Technology
         Qingming Huang; Chinese Academy of Sciences
         Baocai Yin; Beijing University of Technology
 
Presented 14:40 - 15:00
   TP.L7.3: SALIENT OBJECT DETECTION VIA FAST R-CNN AND LOW-LEVEL CUES
         Xiang Wang; Tsinghua University
         Huimin Ma; Tsinghua University
         Xiaozhi Chen; Tsinghua University
 
Presented 15:00 - 15:20
   TP.L7.4: DEEP-CSSR: SCENE CLASSIFICATION USING CATEGORY-SPECIFIC SALIENT REGION WITH DEEP FEATURES
         Mengshi Qi; Beihang University
         Yunhong Wang; Beihang University
 
Break
 
Presented 15:50 - 16:10
   TP.L7.5: LEARNING DEEP COMPACT CHANNEL FEATURES FOR OBJECT DETECTION IN TRAFFIC SCENES
         Yuqiang Fang; National University of Defense Technology
         Lin Sun; Hong Kong University of Science and Technology
         Hao Fu; National University of Defense Technology
         Tao Wu; National University of Defense Technology
         Ruili Wang; Massey University
         Bin Dai; National University of Defense Technology
 
Presented 16:10 - 16:30
   TP.L7.6: TRANSFER LEARNING USING CONVOLUTIONAL NEURAL NETWORKS FOR OBJECT CLASSIFICATION WITHIN X-RAY BAGGAGE SECURITY IMAGERY
         Samet Akcay; Durham University
         Mikolaj E. Kundegorski; Durham University
         Michael Devereux; University of Bristol
         Toby P Breckon; Durham University
 
Presented 16:30 - 16:50
   TP.L7.7: ACTIVE LEARNING FOR HYPERSPECTRAL IMAGE CLASSIFICATION WITH A STACKED AUTOENCODERS BASED NEURAL NETWORK
         Jiming Li; Zhejiang Police College
 
Presented 16:50 - 17:10
   TP.L7.8: OBJECT CLASSIFICATION IN INFRARED IMAGES USING DEEP REPRESENTATIONS
         Erhan Gundogdu; ASELSAN
         Aykut Koc; ASELSAN
         A. Aydın Alatan; Middle East Technical University