Technical Program

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WP.PA: Object Detection and Tracking II

Session Type: Poster
Time: Wednesday, September 25, 14:10 - 15:58
Location: Room 101 (1F) - Poster Area A
Session Chair: Adrian Barbu, Florida State University
 
 WP.PA.1: FEATURE-ATTENTIONED OBJECT DETECTION IN REMOTE SENSING IMAGERY
         Chengzheng Li; Nanjing University of Science and Technology
         Chunyan Xu; Nanjing University of Science and Technology
         Zhen Cui; Nanjing University of Science and Technology
         Dan Wang; China Academy of Space Technology
         Tong Zhang; Nanjing University of Science and Technology
         Jian Yang; Nanjing University of Science and Technology
 
 WP.PA.2: A UNIFIED OBJECT DETECTION FRAMEWORK FOR INTELLIGENT RETAIL CONTAINER COMMODITIES
         Linyu Zhao; Wuhan University
         Jian Yao; Wuhan University
         Hongyu Du; Wuhan University
         Jinjie Zhao; Wuhan University
         Ruijie Zhang; Wuhan University
 
 WP.PA.3: MULTI-VIEW FRUSTUM POINTNET FOR OBJECT DETECTION IN AUTONOMOUS DRIVING
         Pei Cao; Harbin Institute of Technology
         Hao Chen; Harbin Institute of Technology
         Ye Zhang; Harbin Institute of Technology
         Gang Wang; Alibaba Group
 
 WP.PA.4: FEATURE ALIGNED RECURRENT NETWORK FOR CAUSAL VIDEO OBJECT DETECTION
         Yifei Wang; Zhejiang University
         Dongxiao Li; Zhejiang University
         Lu Lin; Zhejiang University
         Bohua Chen; Zhejiang University
         Lianghao Wang; Zhejiang University
         Ming Zhang; Zhejiang University
 
 WP.PA.5: COMPLEMENTARY FEATURES WITH REASONABLE RECEPTIVE FIELD FOR ROAD SCENE 3D OBJECT DETECTION
         Yuefeng Wu; Tianjin University
         Yanwei Pang; Tianjin University
         Bolin Gao; China Automotive Technology and Research Center Co., Ltd.
         Jungong Han; Lancaster University
 
 WP.PA.6: A SINGLE-SHOT OBJECT DETECTOR WITH FEATURE AGGREGATION AND ENHANCEMENT
         Weiqiang Li; Xi'an Jiaotong University
         Guizhong Liu; Xi'an Jiaotong University
 
 WP.PA.7: DEEP NETWORK PRUNING FOR OBJECT DETECTION
         Sanjukta Ghosh; Siemens AG and Friedrich-Alexander-Universität, Erlangen-Nürnberg
         Shashi K K Srinivasa; Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
         Peter Amon; Siemens AG
         Andreas Hutter; Siemens AG
         André Kaup; Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
 
 WP.PA.8: FFBNET : LIGHTWEIGHT BACKBONE FOR OBJECT DETECTION BASED FEATURE FUSION BLOCK
         Binqi Fan; Chongqing University
         Yuhao Chen; Chongqing University
         Jianfeng Qu; Chongqing University
         Yi Chai; Chongqing University
         Chen Xiao; Chongqing University
         Pengfei Huang; Chongqing University