IMPACT-HOI: Supervisory Control for Onset-Anchored Partial HOI Event Construction
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Abstract (arXiv)
We present IMPACT-HOI, a mixed-initiative framework for annotating egocentric procedural video by constructing structured event graphs for Human-Object Interactions (HOI), motivated by the need for high-quality structured supervision for learning robot manipulation from human demonstration. IMPACT-HOI frames this task as the incremental resolution of a partially specified, onset-anchored event state. A trust-calibrated controller selects among direct queries, human-confirmed suggestions, and conservative completions based on empirical annotator behavior and evidence quality. A risk-bounded execution protocol, utilizing atomic rollback, ensures that human-confirmed decisions are preserved against conflicting automated updates. A user study with 9 participants shows a 13.5% reduction in manual annotation actions, a 46.67% event match rate, and zero confirmed-field violations under the studied protocol. The code will be made publicly available at https://github.com/541741106/IMPACT_HOI.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 34 of its 38 references that are in the map. First posted on arXiv 3 May 2026.
Builds on
34 of 38 references.
References · 34
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- 2022GEN-VLKT: Simplify Association and Enhance Interaction Understanding for HOI Detectioncited by 119
- 2022Anticipative Feature Fusion Transformer for Multi-Modal Action Anticipationcited by 41
22 more
- 2021ST-HOI: A Spatial-Temporal Baseline for Human-Object Interaction Detection in Videoscited by 20
- 2023Learning the What and How of Annotation in Video Object Segmentationcited by 19
- 2023Navigating Open Set Scenarios for Skeleton-based Action Recognitioncited by 17
- 2021Learning Asynchronous and Sparse Human-Object Interaction in Videoscited by 16
- 2024Referring Atomic Video Action Recognitioncited by 16
- 2025EgoNight: Towards Egocentric Vision Understanding at Night with a Challenging Benchmarkcited by 16
- 2020LIGHTEN: Learning Interactions with Graph and Hierarchical TEmporal Networks for HOI in videoscited by 14
- 2022Video-based Human-Object Interaction Detection from Tubelet Tokenscited by 13
- 2023Human-Object Interaction Prediction in Videos through Gaze Followingcited by 13
- 2021Spatio-Temporal Interaction Graph Parsing Networks for Human-Object Interaction Recognitioncited by 12
- 2023Semi-supervised Active Learning for Video Action Detectioncited by 10
- 2024Adapting the Segment Anything Model During Usage in Novel Situationscited by 9
- 2024Skeleton-Based Human Action Recognition with Noisy Labelscited by 8
- 2025MICA: Multi-Agent Industrial Coordination Assistantcited by 8
- 2026EgoSound: Benchmarking Sound Understanding in Egocentric Videoscited by 8
- 2026IMPACT: A Dataset for Multi-Granularity Human Procedural Action Understanding in Industrial Assemblycited by 8
- 2025Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistantscited by 6
- 2025HopaDIFF: Holistic-Partial Aware Fourier Conditioned Diffusion for Referring Human Action Segmentation in Multi-Person Scenarioscited by 5
- 2025RoHOI: Robustness Benchmark for Human-Object Interaction Detectioncited by 3
- 2024Anticipating Object State Changes in Long Procedural Videoscited by 2
- 2026Rethinking Video Human-Object Interaction: Set Prediction over Time for Unified Detection and Anticipationcited by 2
- 2026Live Interactive Training for Video Segmentationcited by 1
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Citing papers per year: 2026: 2.
2 papers.