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Binh Xuan Nguyen

1 accepted papers

2026

AffordMatcher: Affordance Learning in 3D Scenes from Visual Signifiers

CVPR 2026

Affordance learning is a complex challenge in many applications, where existing approaches primarily focus on the geometric structures, visual knowledge, and affordance labels of objects to determine interactable regions. However, extending this learning capability to a scene is significantly more c

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