AI RESEARCH
RE-VLM: Event-Augmented Vision-Language Model for Scene Understanding
arXiv CS.AI
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ArXi:2605.19329v1 Announce Type: cross Conventional vision-language models (VLMs) struggle to interpret scenes captured under adverse conditions (e.g., low light, high dynamic range, or fast motion) because standard RGB images degrade in such environments. Event cameras provide a complementary modality: they asynchronously record per-pixel brightness changes with high temporal resolution and wide dynamic range, preserving motion cues where frames fail.