Papers by Xuanzhong Chen
VividMed: Vision Language Model with Versatile Visual Grounding for Medicine (2025.naacl-long)
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| Challenge: | Vision Language Models (VLMs) have demonstrated promise in generating visually grounded responses, but their application in the medical domain is hindered by unique challenges. |
| Approach: | They propose a vision language model with versatile visual grounding for medicine that generates semantic segmentation masks and instance-level bounding boxes. |
| Outcome: | The proposed model can generate semantic segmentation masks and instance-level bounding boxes, and accommodates various imaging modalities, including both 2D and 3D data. |