1 citations · 1 across the 3 of their papers we have counts for
3 papers
The Impact of Image Resolution on Biomedical Multimodal Large Language Models
Liangyu Chen, James Burgess, Jeffrey J Nirschl +2
Imaging technologies are fundamental to biomedical research and modern medicine, requiring analysis of high-resolution images across various modalities. While multimodal large lang…
Data or Language Supervision: What Makes CLIP Better than DINO?
Yiming Liu, Yuhui Zhang, Dhruba Ghosh +2
CLIP outperforms self-supervised models like DINO as vision encoders for vision-language models (VLMs), but it remains unclear whether this advantage stems from CLIP's language sup…
Ask, Pose, Unite: Scaling Data Acquisition for Close Interactions with Vision Language Models
Laura Bravo-Sánchez, Jaewoo Heo, Zhenzhen Weng +2
Social dynamics in close human interactions pose significant challenges for Human Mesh Estimation (HME), particularly due to the complexity of physical contacts and the scarcity of…