Two key mechanisms are introduced: Context-aware Multi-round Reasoning, which progressively refines interaction hypotheses to ensure exhaustive and compositional HOI discovery, and Multifaceted Interaction Localization, which enhances grounding precision by generating instance-specific descriptions that integrate seman...
AESR introduces a global agentic prompt enhancement module, which learns model-specific prompting formats from official documentation, acquires human-centered video generation priors from human-interaction data, and accumulates test-domain identity-preserving generation experience into a reusable playbook through an ag...
Jia-Yi Gao, Changcheng Hua, Jiaqi Tang et al.· 0 citations
Feature-robust Augmentation is introduced, which comprises diversified degradation-aware augmentation strategies, and a supervised contrastive learning pattern paired with a mean-teacher architecture that stabilizes features against augmentations through consistency constraints that wins the first place in ACM Multimed...
Zhu Xu, Jia-Qi Tang, Po-Kai Chen et al.· 0 citations
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