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Author

Ruirui Li

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Conference Aug 2026

ActionLMM: captioning long-video actions with memory-augmented VLMs

This work introduces ActionLMM, a memory-augmented vision-language model for long-video action summarization that aligns visual and motion modalities through joint representation learning and leverages a novel dual-memory mechanism to retain both local motion details and global temporal structure.

Ruirui Li, Dari Abdullah Alrwoaily, Turgut Sofuyev et al. · 0 citations