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My ICIP 2021 Schedule

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ARS-1: Object Detection

Session Type: Poster
Time: Tuesday, September 21, 15:30 - 17:00
Location: Area I
Session Chair: Guoliang Fan, Oklahoma State University
 
   ARS-1.1: USING FEATURE ALIGNMENT CAN IMPROVE CLEAN AVERAGE PRECISION AND ADVERSARIAL ROBUSTNESS IN OBJECT DETECTION
         Weipeng Xu; Shanghai Jiao Tong University
         Hongcheng Huang; Shanghai Jiao Tong University
         Shaoyou Pan; Shanghai Forensic Service Platform, Academy of Forensic Science
 
   ARS-1.2: ENHANCING MULTI-STEP ACTION PREDICTION FOR ACTIVE OBJECT DETECTION
         Fen Fang; Institute for Infocomm Research
         Qianli Xu; Institute for Infocomm Research
         Nicolas Gauthier; Institute for Infocomm Research
         Liyuan Li; Institute for Infocomm Research
         Joo-Hwee Lim; Institute for Infocomm Research
 
   ARS-1.3: AUTOMATIC DETECTION OF REPEATED OBJECTS IN IMAGES
         Mariano Rodriguez; ENS Paris-Saclay
         Jean-Michel Morel; ENS Paris-Saclay
         Julie Delon; Université de Paris
 
   ARS-1.4: GUIDANCE AND TEACHING NETWORK FOR VIDEO SALIENT OBJECT DETECTION
         Yingxia Jiao; Wuhan University
         Xiao Wang; Jiangxi University of Finance and Economics
         Yu-Cheng Chou; Wuhan University
         Shouyuan Yang; Jiangxi University of Finance and Economics
         Ge-Peng Ji; Wuhan University
         Rong Zhu; Wuhan University
         Ge Gao; Wuhan University
 
   ARS-1.5: DEPTH-ASSISTED JOINT DETECTION NETWORK FOR MONOCULAR 3D OBJECT DETECTION
         Jianjun Lei; Tianjin University
         Tingyi Guo; Tianjin University
         Bo Peng; Tianjin University
         Chuanbo Yu; Tianjin University
 
   ARS-1.6: LAYER-WISE CUSTOMIZED WEAK SEGMENTATION BLOCK AND AIOU LOSS FOR ACCURATE OBJECT DETECTION
         Keyang Wang; Chongqing University
         Lei Zhang; Chongqing University
         Wenli Song; Chongqing University
         Qinghai Lang; Chongqing University
         Lingyun Qin; Chongqing University
 
   ARS-1.7: IMPROVING OBJECT DETECTION AND ATTRIBUTE RECOGNITION BY FEATURE ENTANGLEMENT REDUCTION
         Zhaoheng Zheng; University of Southern California
         Arka Sadhu; University of Southern California
         Ram Nevatia; University of Southern California
 
   ARS-1.8: LOCOP: LOCAL COLLABORATIVE OBJECT PRESENCE FOR SEMANTIC LABELING VIA SCORE MAP RE-INFERENCE
         Lin Guo; Oklahoma State University
         Guoliang Fan; Oklahoma State University
 
   ARS-1.9: LOCALIZATION UNCERTAINTY-BASED ATTENTION FOR OBJECT DETECTION
         Sanghun Park; Pohang University of Science and Technology
         Kunhee Kim; Pohang University of Science and Technology
         Eunseop Lee; Pohang University of Science and Technology
         Daijin Kim; Pohang University of Science and Technology
 
   ARS-1.10: JOINT CO-ATTENTION AND CO-RECONSTRUCTION REPRESENTATION LEARNING FOR ONE-SHOT OBJECT DETECTION
         Jinghui Chu; Tianjin University
         Jiawei Feng; Tianjin University
         Peiguang Jing; Tianjin University
         Wei Lu; Tianjin University
 
   ARS-1.11: HALLUCINATION IN OBJECT DETECTION — A STUDY IN VISUAL PART VERIFICATION
         Osman Semih Kayhan; Delft University of Technology
         Bart Vredebregt; Aiir Innovations
         Jan C. van Gemert; Delft University of Technology
 
   ARS-1.12: ROBUST UNSUPERVISED MULTI-OBJECT TRACKING IN NOISY ENVIRONMENTS
         Huck Yang; Georgia Institute of Technology
         Mohit Chhabra; Hitachi
         Yi-Chieh Liu; Georgia Institute of Technology
         Quan Kong; Hitachi
         Tomoaki Yoshinaga; Hitachi
         Tomokazu Murakami; Hitachi