Beibei Lin

VLMs struggle to reason about visual scenes in adverse weather, losing significant segmentation accuracy as rain, snow, or fog intensifies.

Despite advances in vision-language models, reasoning across sparse, multi-view observations remains surprisingly unsolved, with current models barely outperforming random guessing on a new benchmark.