Author

Yang Liu

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Aug 2026

Anticipating Object Interactions Via Aggregation and Distillation of Spatio-Temporal Knowledge From Vision Language Models.

ST-KAD sets a new state of the art, demonstrating accurate what-when-where prediction of future interactions, and confirms that the prior-informed aggregation and teacher-student distillation generalize beyond anticipation to spatial localization, validating the generality of the design.

Yang Liu, Dejie Yang, Minghang Zheng et al. · IEEE Transactions on Pattern... · 1 citation

Preprint Aug 2026

ID-VTG: Image-Disambiguated Video Temporal Grounding

The Visually-Guided Disambiguation Aggregation Aggregation (VGD-Agg) framework is proposed, a framework based on a dual-branch fast-slow architecture that enhances discriminability via two learnable tokens and achieves state-of-the-art results on the proposed benchmarks.

Minghang Zheng, Jing Wei, Hong-Yi Yang et al. · 0 citations