3 papers
cs.AI2026
Enhancing Foundation VLM Robustness to Missing Modality: Scalable Diffusion for Bi-directional Feature Restoration
Wei Dai, Haoyu Wang, Honghao Chang +4
Vision Language Model (VLM) typically assume complete modality input during inference. However, their effectiveness drops sharply when certain modalities are unavailable or incompl…
cs.CV2025
Continual Alignment for SAM: Rethinking Foundation Models for Medical Image Segmentation in Continual Learning
Jiayi Wang, Wei Dai, Haoyu Wang +3
In medical image segmentation, heterogeneous privacy policies across institutions often make joint training on pooled datasets infeasible, motivating continual image segmentation-l…
cs.CV2025
Improved Baselines with Synchronized Encoding for Universal Medical Image Segmentation
Sihan Yang, Jiadong Feng, Xuande Mi +3
Large foundation models, known for their strong zero-shot generalization capabilities, can be applied to a wide range of downstream tasks. However, developing foundation models for…