Self-Supervised Representation Learning for Heterogeneous Behavioral Expressions of Social Engagement
A self-supervised framework that learns visual representations of interaction dynamics directly from paired videos of two people interacting, suggesting that diverse behavioral markers of engagement share a common foundation in interaction dynamics, and that this foundation can be learned without engagement-specific su...