[Submitted on 10 Sep 2026]
Title:Single-Query Person-Centric Bimanual Hand-Object Interaction Detection
View a PDF of the paper titled Single-Query Person-Centric Bimanual Hand-Object Interaction Detection, by Jonghyun Kim and Junho Roh and Yubin Yoon and Hyotae Lee and Jongkuk Park and Taehwan Hwang and Jaechul Kim and Jungho Lee
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Abstract: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 to allocate attention across human, hand, and pose-specific reference regions, enabling one query to capture the full person structure. We further unify detection and interaction reasoning with a hand-to-query relationship matrix, where each hand selects its interaction target from the detected query set plus a learnable off token, directly recovering the target's box and class without separate object regression.
We build a COCO-based dataset with person-centric bi-manual interaction annotations and define structured metrics for evaluating hand states and complete hand--object tuples. Experiments with a transformer-based detector show that our formulation improves person-level bi-manual interaction parsing and provides an effective unified framework for joint detection, pose estimation, and hand reasoning.
Comments: Accepted to ECCV2026, Project page: this https URL
Subjects:
Computer Vision and Pattern Recognition (cs.CV)
Cite as: arXiv:2609.12155 [cs.CV]
(or arXiv:2609.12155v1 [cs.CV] for this version)
https://doi.org/10.48550/arXiv.2609.12155
arXiv-issued DOI via DataCite (pending registration)
Submission history
From: Jonghyun Kim [view email] [v1] Thu, 10 Sep 2026 19:41:28 UTC (7,195 KB)
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