Technical Program

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ARS-19: Machine Learning for Object Detection

Interactive Q&A Time: Wednesday, 28 October, 15:00 - 15:55
Virtual Session: View on Virtual Platform
Session Chairs: Fatih Porikli, Australian National University and Nikolaos Boulgouris, Brunel University London
 
 ARS-19.1: TRIPLE ATTENTION FOR ROBUST VIDEO CROWD COUNTING
         Qiyao Wu; Shanghai Jiao Tong University
         Chongyang Zhang; Shanghai Jiao Tong University
         Xiyu Kong; Shanghai Jiao Tong University
         Muming Zhao; Shanghai Jiao Tong University
         Yanjun Chen; Shanghai Jiao Tong University
 
 ARS-19.2: TOWARDS DOMAIN GENERALIZATION IN UNDERWATER OBJECT DETECTION
         Hong Liu; Peking University
         Pinhao Song; Peking University
         Runwei Ding; Peking University
 
 ARS-19.3: TRAINING WITH CACHE: SPECIALIZING OBJECT DETECTORS FROM LIVE STREAMS WITHOUT OVERFITTING
         Hayato Itsumi; NEC
         Florian Beye; NEC
         Yusuke Shinohara; NEC
         Takanori Iwai; NEC
 
 ARS-19.4: MGPAN: MASK GUIDED PIXEL AGGREGATION NETWORK
         Xijun Qian; Nanjing University
         Yifan Liu; Nanjing University
         Yubin Yang; Nanjing University
 
 ARS-19.5: RADAR+RGB FUSION FOR ROBUST OBJECT DETECTION IN AUTONOMOUS VEHICLE
         Ritu Yadav; Technical university of Kaiserslautern
         Axel Vierling; Technical university of Kaiserslautern
         Karsten Berns; Technical university of Kaiserslautern
 
 ARS-19.6: INFRARED TARGET DETECTION USING INTENSITY SALIENCY AND SELF-ATTENTION
         Ruiheng Zhang; University of Technology Sydney
         Min Xu; University of Technology Sydney
         Yaxin Shi; University of Technology Sydney
         Jian Fan; Beihang University
         Chengpo Mu; Beijing Institute of Technology
         Lixin Xu; Beijing Institute of Technology
 
 ARS-19.7: A CONVLSTM-COMBINED HIERARCHICAL ATTENTION NETWORK FOR SALIENCY DETECTION
         Lei Wang; Shanghai Jiao Tong University
         Liping Shen; Shanghai Jiao Tong University
 
 ARS-19.8: KL-DIVERGENCE-BASED REGION PROPOSAL NETWORK FOR OBJECT DETECTION
         Geonseok Seo; Seoul National University / Samsung Advanced Institute of Technology (SAIT)
         Jaeyoung Yoo; Seoul National University
         Jaeseok Choi; Seoul National University
         Nojun Kwak; Seoul National University
 
 ARS-19.9: NOISY LOCALIZATION ANNOTATION REFINEMENT FOR OBJECT DETECTION
         Jiafeng Mao; University of Tokyo
         Qing Yu; University of Tokyo
         Kiyoharu Aizawa; University of Tokyo
 
 ARS-19.10: CONTEXT-AWARE HIERARCHICAL FEATURE ATTENTION NETWORK FOR MULTI-SCALE OBJECT DETECTION
         Xuelong Xu; Shanghai University
         Xiangfeng Luo; Shanghai University
         Liyan Ma; Shanghai University
 
 ARS-19.11: DETECTING PROHIBITED ITEMS IN X-RAY IMAGES: A CONTOUR PROPOSAL LEARNING APPROACH
         Taimur Hassan; Khalifa University
         Meriem Bettayeb; Khalifa University
         Samet Akcay; Durham University
         Salman Khan; Inception Institute of Artificial Intelligence
         Mohammed Bennamoun; University of Western Australia
         Naoufel Werghi; Khalifa University
 
 ARS-19.12: ILLUMINATING VEHICLES WITH MOTION PRIORS FOR SURVEILLANCE VEHICLE DETECTION
         Xiaolian Wang; University of Chinese Academy of Sciences
         Xiyuan Hu; Nanjing University of Science and Technology
         Chen Chen; University of Chinese Academy of Sciences
         Zhenfeng Fan; University of Chinese Academy of Sciences
         Silong Peng; University of Chinese Academy of Sciences
 
 ARS-19.13: TARGET DETECTION IN CLUTTERED ENVIRONMENTS USING INFRA-RED IMAGES
         Bruce McIntosh; University of Central Florida
         Shashanka Venkataramanan; University of Central Florida
         Abhijit Mahalanobis; University of Central Florida
 
 ARS-19.14: LOCALIZING FIREARM CARRIERS BY IDENTIFYING HUMAN-OBJECT PAIRS
         Abdul Basit; Information Technology University (ITU)
         Muhammad Akhtar Munir; Information Technology University (ITU)
         Mohsen Ali; Information Technology University (ITU)
         Naoufel Werghi; Khalifa University of Science and Technology
         Arif Mahmood; Information Technology University (ITU)
 
 ARS-19.15: AUTOMATED OBJECT LABELING FOR CNN-BASED IMAGE SEGMENTATION
         Adam Novozamsky; Czech Academy of Sciences, Institute of Information Theory and Automation
         Dominik Vit; Czech Technical University in Prague, Faculty of Nuclear Sciences and Physical Engineering
         Filip Sroubek; Czech Academy of Sciences, Institute of Information Theory and Automation
         Jiri Franc; Czech Technical University in Prague, Faculty of Nuclear Sciences and Physical Engineering
         Milan Krbalek; Czech Technical University in Prague, Faculty of Nuclear Sciences and Physical Engineering
         Zuzana Bilkova; Czech Academy of Sciences, Institute of Information Theory and Automation
         Barbara Zitova; Czech Academy of Sciences, Institute of Information Theory and Automation
 
 ARS-19.16: SCALE-INVARIANT MULTI-ORIENTED TEXT DETECTION IN WILD SCENE IMAGE
         Kinjal Dasgupta; Heritage Institute of Technology
         Sudip Das; Indian Statistical Institute
         Ujjwal Bhattacharya; Indian Statistical Institute
 
 ARS-19.17: SHAPE-ADAPTIVE KERNEL NETWORK FOR DENSE OBJECT DETECTION
         Hanjae Kim; School of Electrical and Electronic Engineering
         Sunghun Joung; School of Electrical and Electronic Engineering
         Ig-Jae Kim; Center for Imaging Media Research
         Kwanghoon Sohn; School of Electrical and Electronic Engineering