All times are in Alaska local time (AKDT/UTC−08:00)
ARS-1: Object Detection |
Interactive Q&A Time: Tuesday, September 21, 15:30 - 17:00 |
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 |