ICCV 2021 Mair2 Workshop
Multi-Agent Interaction and Relational Reasoning
First Edition
October 17, 2021 | Montreal, Canada (Virtual)
Welcome to ICCV MAIR2 Workshop
Modeling relations and interactions between agents (e.g., objects, robots, and humans) is widely studied and plays an important role in various tasks, necessitating larger-scale communication and collaboration between researchers in different fields. Our goal is to enable interdisciplinary discussion about multi-agent relational reasoning from different research areas such as autonomous driving, visual reasoning, multi-agent systems, object detection and tracking, scene understanding, human-robot interaction, graph representation learning, intuitive physics, dynamics modeling, and cognitive science. The goal of this workshop is to provide an opportunity to discuss how the concepts and techniques in different fields related to multi-agent interaction modeling could help advance each other.
Workshop Recording
News
October 17, Our workshop is happening now! Please join using the above login information.
April 16, Paper submission opens. We feature three tracks: (1) Non-proceeding short papers (≤ 4 pages); (2) non-proceeding regular papers; (3) regular papers in proceedings
April 12, Our workshop website is online
April 08, Our workshop is accepted at ICCV 2021!
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Topics Covered
Multi-agent datasets with complex interactions and relations (e.g., autonomous driving datasets, multi-robot datasets)
Relational reasoning in perception (e.g., detection, tracking) and scene understanding (e.g., segmentation, scene graph)
Relational reasoning and interaction modeling in intuitive physics and dynamics
Interaction modeling in trajectory forecasting of traffic participants (pedestrians and vehicles), sports players, etc.
Multi-agent motion planning and decision making
Visual transformers and their applications to relational reasoning
Relational representation learning and graph neural networks
Spatio-temporal relational reasoning
Human-robot / human-object / robot-robot interaction, human-robot collaboration
Multi-robot systems and swarm systems
Cooperative and competitive multi-agent systems
Causal discovery and modeling
Evaluation and metrics of interaction modeling
Transfer learning and domain adaptation in relational modeling
Explainability and interpretability in relational reasoning and interaction modeling
Multi-agent reinforcement learning with interaction modeling
Invited Speakers
Sponsors
