SOURCE-LINKED INTELLIGENCE
Single-Query Person-Centric Bimanual Hand-Object Interaction Detection
Understanding person-level bi-manual interactions requires not only detecting hands, but also identifying which two hands belong to the same person and what each hand interacts with. Existing hand--object interaction methods are mostly hand-centric: they treat each hand as an independent instance, which can lead to ambiguous ownership in multi-person scenes. We propose a person-centric formulation in which a single query predicts a structured output for one person, including the human box, body pose, hand boxes and states, and interaction targets. We introduce part-aware deformable attention t
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-10T19:41:28.000Z
First collected: 2026-09-20T18:42:18.733Z. This is not the publication date.