collaborators

7 papers

cs.CV2026

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation

Jiaxuan Li, Qing Xu, Xiangjian He +4

Cross-modal alignment of visual and textual representations is fundamental to multimodal medical image understanding, yet remains hindered by uncertainty in both modalities under r…

cs.CV2026

Rethinking the Adaptation of Vision Foundation Models for Efficient Cell Segmentation

Qing Xu, Xiangjian He, Wenting Duan +2

Cell segmentation is critical for computational pathology and biomedical discovery. While recent Vision Foundation Models (VFMs) have demonstrated remarkable universal feature repr…

cs.CV2026

Cesarean Scar Defect Segmentation in Transvaginal Ultrasound Images: a Dataset and Benchmark

Yuan Tian, Yue Li, Wei Xia +10

Cesarean Scar Defect (CSD) is one of the most prevalent complications following cesarean delivery. Transvaginal ultrasonography is widely used for primary CSD screening. Accurate d…

cs.CV2026

XAttnRes: Cross-Stage Attention Residuals for Medical Image Segmentation

Xinyu Liu, Qing Xu, Zhen Chen

In the field of Large Language Models (LLMs), Attention Residuals have recently demonstrated that learned, selective aggregation over all preceding layer outputs can outperform fix…

eess.IV2025

UniUltra: Interactive Parameter-Efficient SAM2 for Universal Ultrasound Segmentation

Yue Li, Qing Xu, Yixuan Zhang +8

The Segment Anything Model 2 (SAM2) demonstrates remarkable universal segmentation capabilities on natural images. However, its performance on ultrasound images is significantly de…

cs.CV2025

CoMA: Complementary Masking and Hierarchical Dynamic Multi-Window Self-Attention in a Unified Pre-training Framework

Jiaxuan Li, Qing Xu, Xiangjian He +6

Masked Autoencoders (MAE) achieve self-supervised learning of image representations by randomly removing a portion of visual tokens and reconstructing the original image as a prete…