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HEIR: Learning Human-Entity Interactions with Functional Roles
Kratos Wen, Author 2, Author 3, Author 4, Author 5
multimodalevent compositioninteraction prediction
2609.35955
Builder Relevance
1h ago80%
Abstract
The paper presents HEIR, a benchmark for understanding human-entity interactions by recovering participant-role sets in various contexts.
Reality Card
Core Claim
HEIR introduces a comprehensive benchmark for evaluating human-entity interactions, significantly improving the understanding of event composition in shared environments.
Method / Result
CoRISP outperforms 16 baselines by 2.87 and 3.82 Set mAP points on repeated-role events and shared-participant images, respectively.
Limitations
The reliance on specific datasets may limit generalizability and reproducibility across diverse scenarios.
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