MP-V1.V4: Image and Video Analysis, Synthesis, and Retrieval
Mon, 3 Oct, 21:00 - 22:00 China Standard Time (UTC +8)
Mon, 3 Oct, 15:00 - 16:00 Central European Time (UTC +2)
Mon, 3 Oct, 13:00 - 14:00 UTC
Mon, 3 Oct, 09:00 - 10:00 Eastern Time (UTC -4)
Virtual Poster
Location: Gather.Town 4
Session Co-Chairs: Jean-Christophe Pesquet, CentraleSupélec and Andrea Cavallaro, Queen Mary University of London and Rebecca Willett, University of Chicago
Track: Image and Video Analysis, Synthesis, and Retrieval

MP-V1.V4.1: THERMAL TO VISIBLE IMAGE SYNTHESIS UNDER ATMOSPHERIC TURBULENCE
Kangfu Mei, Yiqun Mei, Vishal Patel, Johns Hopkins University, United States of America

MP-V1.V4.2: A NOVEL SELF-SUPERVISED CROSS-MODAL IMAGE RETRIEVAL METHOD IN REMOTE SENSING
Gencer Sumbul, Markus Müller, Begüm Demir, Technische Universität Berlin, Germany

MP-V1.V4.3: MULTI-MODAL TRANSFORMER FOR RGB-D SALIENT OBJECT DETECTION
Peipei Song, Data61/CSIRO and Australian Nationnal University, Australia; Jing Zhang, Nick Barnes, Australian Nationnal University, Australia; Piotr Koniusz, Data61/CSIRO and Australian National University, Australia

MP-V1.V4.4: GaitTAKE: Gait Recognition by Temporal Attention and Keypoint-guided Embedding
Hung-Min Hsu, Yizhou Wang, Cheng-Yen Yang, Jenq-Neng Hwang, University of Washington, United States of America; Hoang Le Uyen Thuc, University of Danang, Viet Nam; Kwang-Ju Kim, Electronics and Telecommunications Research Institute, Viet Nam

MP-V1.V4.5: FULLY SHAREABLE SCENE TEXT RECOGNITION MODELING FOR HORIZONTAL AND VERTICAL WRITING
Shota Orihashi, Yoshihiro Yamazaki, Mihiro Uchida, Akihiko Takashima, Ryo Masumura, NTT Corporation, Japan

MP-V1.V4.6: Enhancing Part Features via Contrastive Attention Module for Vehicle Re-identification
Manyu Li, Nanchang University, Nanchang, China, China; Mengwan Wei, Seismological Bureau of Jiangsu Province, Nanjing, China, China; Xin He, HUAWEI Technology Co., Ltd, Hangzhou, China, China; Fei Shen, Nanjing University of Science and Technology, Nanjing, China, China

MP-V1.V4.7: IDENTITY-SENSITIVE KNOWLEDGE PROPAGATION FOR CLOTH-CHANGING PERSON RE-IDENTIFICATION
Jianbing Wu, Hong Liu, Wei Shi, Jingwen Guo, Peking University, China; Hao Tang, Eidgenössische Technische Hochschule Zürich, China

MP-V1.V4.8: DIMENSIONALITY REDUCTION TECHNIQUES WITH HYDRANET FRAMEWORK FOR HSI CLASSIFICATION
Mohammed Alkhatib, Mina Al-Saad, Nour Aburaed, Hussain Al Ahmad, University of Dubai, United Arab Emirates; Saeed Al Mansoori, Mohammed bin Rashid Space Centre, United Arab Emirates

MP-V1.V4.9: PERSON RE-IDENTIFICATION IN PANORAMIC VIEWS BASED ON BAYESIAN TRANSFORMERS
Wenfeng Song, Xinyu Zhang, Ying Ye, Xia Hou, Beijing Information Science and Technology University, China; Yang Gao, Yifan Guo, Aimin Hao, State Key Laboratory of Virtual Reality Technology and System,Beihang University, China

MP-V1.V4.10: AN EFFICIENT AXIAL-ATTENTION NETWORK FOR VIDEO-BASED PERSON RE-IDENTIFICATION
Fuping Zhang, Tianzhao Zhang, Ruoxi Sun, Chao Huang, Jianming Wei, Shanghai Advanced Research Institute, Chinese Academy of Sciences, China

MP-V1.V4.11: AV-GAZE: A STUDY ON THE EFFECTIVENESS OF AUDIO GUIDED VISUAL ATTENTION ESTIMATION FOR NON-PROFILIC FACES
Shreya Ghosh, Munawar Hayat, Monash University, Australia; Abhinav Dhall, Indian Institute of Technology Ropar, India; Jarrod Knibbe, University of Melbourne, Australia

MP-V1.V4.12: MASK GUIDED SPATIAL-TEMPORAL FUSION NETWORK FOR MULTIPLE OBJECT TRACKING
Shuangye Zhao, Yubin Wu, Shuai Wang, Hao Sheng, Beihang University, China; Wei Ke, Macao Polytechnic Institute, China

MP-V1.V4.13: HCIL: Hierarchical Class Incremental Learning for Longline Fishing Visual Monitoring
Jie Mei, Jenq-Neng Hwang, University of Washington, Seattle, United States of America; Suzanne Romain, Craig Rose, Kelsey Magrane, National Oceanic and Atmospheric Administration, United States of America

MP-V1.V4.14: POSE CALIBRATED FEATURE AGGREGATION FOR FACE SET RECOGNITION
Ibrahim Hasani, National University of Sciences and Technology (NUST), Pakistan; Omar Arif, National University of Sciences and Technology (NUST), Senior Member IEEE, Pakistan