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Author

Hongyu Qu

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Condensed Test-Time Adaptation of VLMs for Action Recognition

A novel training-free Condensed Dynamic Adapter C ON DA is proposed, which leverages vision-text alignment to guide vision-vision alignment and is compatible with arbitrary VLM and generalizes well across complex scenarios, such as long-term and egocentric scenarios.

Wenxuan Ge, Hongyu Qu, Rui Yan et al. · 0 citations
Preprint Jul 2026

Dual Latent Memory in Vision-Language-Action Models for Robotic Manipulation

LaMem-VLA is introduced, a latent-memory-native framework that reconstructs historical experience into latent memory tokens and directly interweaves them with VLA reasoning, and enables memory to directly participate in VLA reasoning and guide action generation under a bounded context.

Hongyu Qu, Jianzhe Gao, Xiaobin Hu et al. · 1 citation

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