5 papers · 1 filter
Constrained Edit Fields for Training-Free Flow Editing
Jingxuan Kang, Yinsong Wang, Che Liu +1
Text-guided image editing aims to perform a desired edit while preserving source content unrelated to it. Pretrained rectified-flow models enable training-free editing of real imag…
Prompt-Anchored Residual Adaptation for Biomedical Vision-Language Models
Jingxuan Kang, Qianying Yue, Che Liu +1
Pretrained biomedical vision-language models achieve strong zero-shot performance in biomedical image classification. However, downstream biomedical classification often depends on…
Learning from Noisy Prompts: Saliency-Guided Prompt Distillation for Robust Segmentation with SAM
Jingxuan Kang, Ziqi Zhang, Shaoming Zheng +9
Segmentation is central to clinical diagnosis and monitoring, yet the reliability of modern foundation models in medical imaging still depends on the availability of precise prompt…
Adaptive Conditional Contrast-Agnostic Deformable Image Registration with Uncertainty Estimation
Yinsong Wang, Xinzhe Luo, Siyi Du +1
Deformable multi-contrast image registration is a challenging yet crucial task due to the complex, non-linear intensity relationships across different imaging contrasts. Convention…
Inference-Time Dynamic Modality Selection for Incomplete Multimodal Classification
Siyi Du, Xinzhe Luo, Declan P. O'Regan +1
Multimodal deep learning (MDL) has achieved remarkable success across various domains, yet its practical deployment is often hindered by incomplete multimodal data. Existing incomp…