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Bi-Causal: Group Activity Recognition via Bidirectional Causality
This network establishes a causality communication channel while modeling relations and interactions enabling reciprocal enhancement between human-object interactions and human relations ensuring their mutual consistency.
Uncovering the Unseen: Discover Hidden Intentions by Micro-Behavior Graph Reasoning
HID presents a unique challenge in that hidden intentions lack the obvious visual representations to distinguish them from normal intentions.
Group Activity Recognition via Dynamic Composition and Interaction
Group composition tells us the location of people and their relations inside the group, while interaction reflects the relation between humans and objects outside the group.
Group Activity Recognition
Human-Object Interaction Detection
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