WP1.PB.10
CONTEXT-AWARE PEDESTRIAN TRAJECTORY PREDICTION WITH MULTIMODAL TRANSFORMER
Haleh Damirchi, Michael Greenspan, Ali Etemad, Queen's University, Canada
Session:
WP1.PB: Pedestrian Detection, Tracking and Re-Identification Poster
Track:
Applications of Machine Learning
Location:
Poster Area B
Presentation Time:
Wed, 11 Oct, 14:30 - 16:00 Malaysia Time (UTC +8)
Session Chair:
Kai-Kuang Ma, Nanyang Technological University
Session WP1.PB
WP1.PB.1: PAST INFORMATION AGGREGATION FOR MULTI-PERSON TRACKING
Daniel Stadler, Karlsruhe Institute of Technology, Germany; Jürgen Beyerer, Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Germany
WP1.PB.2: PSEUDO LABELS REFINEMENT WITH INTRA-CAMERA SIMILARITY FOR UNSUPERVISED PERSON RE-IDENTIFICATION
Pengna Li, Kangyi Wu, Sanping Zhou, Qianxin Huang, Jinjun Wang, Xi’an Jiaotong University, China
WP1.PB.3: RETRIEVE THE VISIBLE FEATURE TO IMPROVE THERMAL PEDESTRIAN DETECTION USING DISCREPANCY PRESERVING MEMORY NETWORK
Yuxuan Hu, State Key Laborotary of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, China; Ning Zhang, Shanghai Aerospace Electronic Technology Institute, China; Lubin Weng, Research Center of Aerospace Information, Institute of Automation, Chinese Academy of Sciences, China
WP1.PB.4: MINING FALSE POSITIVE EXAMPLES FOR TEXT-BASED PERSON RE-IDENTIFICATION
Wenhao Xu, Zhiyin Shao, Changxing Ding, South China University of Technology, China
WP1.PB.5: REVISITING MODALITY IMBALANCE IN MULTIMODAL PEDESTRIAN DETECTION
Arindam Das, Valeo, India; Sudip Das, Indian Statistical Institute, India; Ganesh Sistu, Jonathan Horgan, Valeo, Ireland; Ujjwal Bhattacharya, Indian Statistical Institute, India; Edward Jones, Martin Glavin, University of Galway, Ireland; Ciarán Eising, University of Limerick, Ireland
WP1.PB.6: ROBUST MULTISPECTRAL PEDESTRIAN DETECTION VIA SPECTRAL POSITION-FREE FEATURE MAPPING
Sungjune Park, Korea Advanced Institute of Science and Technology, Korea, Republic of; Jung Uk Kim, Kyung Hee University, Korea, Republic of; Jin Mo Song, Hanwha Aerospace, Korea, Republic of; Yong Man Ro, Korea Advanced Institute of Science and Technology, Korea, Republic of
WP1.PB.7: SIAMCLIM: TEXT-BASED PEDESTRIAN SEARCH VIA MULTI-MODAL SIAMESE CONTRASTIVE LEARNING
Runlin Huang, Beijing Normal University-Hong Kong Baptist University United International College, China; Shuyang Wu, University of Edinburgh, China; Leiping Jie, Hong Kong Baptist University, China; Xinxin Zuo, University of Alberta, China; Hui Zhang, Beijing Normal University-Hong Kong Baptist University United International College, China
WP1.PB.8: LEARNING MUTUALLY IN CROWD SCENES FOR PEDESTRIAN DETECTION
Ruonan Wei, Yuehuan Wang, Jinpu Zhang, Huazhong University of Science and Technology, China
WP1.PB.9: A CAM-enhancing Generative Person Re-ID Method based Global and Local Features
Angze Li, Shasha Mao, Xidian University, China; Lin Xiong, Sensetime, China; Mengnan Qi, Shuiping Gou, Licheng Jiao, Xidian University, China
WP1.PB.10: CONTEXT-AWARE PEDESTRIAN TRAJECTORY PREDICTION WITH MULTIMODAL TRANSFORMER
Haleh Damirchi, Michael Greenspan, Ali Etemad, Queen's University, Canada
WP1.PB.11: CONTINUAL LEARNING FOR OUT-OF-DISTRIBUTION PEDESTRIAN DETECTION
Mahdiyar Molahasani, Ali Etemad, Michael Greenspan, Queen's University, Canada
WP1.PB.12: DEEP OC-SORT: MULTI-PEDESTRIAN TRACKING BY ADAPTIVE RE-IDENTIFICATION
Gerard Maggiolino, Adnan Ahmad, Jinkun Cao, Kris Kitani, Carnegie Mellon University, United States of America
Contacts