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SASI: Leveraging Sub-Action Semantics for Robust Early Action Recognition in Human-Robot Interaction
Understanding human actions is critical for advancing behavior analysis in human-robot interaction. Particularly in tasks that demand quick and proactive feedback, robots must recognize human actions as early as possible from incomplete observations. \textit{Sub-actions} offer the semantic and hiera
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