AI RESEARCH
Hand Trajectory Fusion for Egocentric Natural Language Query Grounding
arXiv CS.CV
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ArXi:2606.02962v1 Announce Type: new Egocentric Natural Language Query (NLQ) grounding asks a model to localize, in a long first-person video, the temporal interval that answers a free-form text query. Existing methods fuse video appearance with the query but ignore hand motion, despite the fact that roughly 41% of Ego4D NLQ queries are answered at a moment of hand--object manipulation or their immediate outcomes.