Yiming Xiao

Single-image assessments can effectively categorize building damage types, enabling timely and targeted disaster response efforts.

MedCLIPSeg unlocks data-efficient and generalizable medical image segmentation by probabilistically fusing CLIP's vision-language understanding at the patch level, outperforming existing methods across a wide range of datasets and modalities.