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cs.CV2026

On Revisiting Entropy for Identifying Mislabeled Images

Chunlei Li, Zixuan Zheng, Yilei Shi +5

Mislabeled samples in training datasets severely degrade the performance of deep networks, as overparameterized models tend to memorize erroneous labels. We address this challenge…

cs.CV2026

LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results

Xiang Chen, Hao Li, Jiangxin Dong +54

This paper presents a review for the LoViF Challenge on Real-World All-in-One Image Restoration. The challenge aimed to advance research on real-world all-in-one image restoration…

cs.CV2025

ProPL: Universal Semi-Supervised Ultrasound Image Segmentation via Prompt-Guided Pseudo-Labeling

Yaxiong Chen, Qicong Wang, Chunlei Li +5

Existing approaches for the problem of ultrasound image segmentation, whether supervised or semi-supervised, are typically specialized for specific anatomical structures or tasks,…

cs.CV2025

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning

Chunlei Li, Jingyang Hou, Yilei Shi +3

Medical report generation from imaging data remains a challenging task in clinical practice. While large language models (LLMs) show great promise in addressing this challenge, the…

cs.CV2025

CausalCLIPSeg: Unlocking CLIP's Potential in Referring Medical Image Segmentation with Causal Intervention

Yaxiong Chen, Minghong Wei, Zixuan Zheng +5

Referring medical image segmentation targets delineating lesions indicated by textual descriptions. Aligning visual and textual cues is challenging due to their distinct data prope…

cs.CV2025

UniCrossAdapter: Multimodal Adaptation of CLIP for Radiology Report Generation

Yaxiong Chen, Chuang Du, Chunlei Li +5

Automated radiology report generation aims to expedite the tedious and error-prone reporting process for radiologists. While recent works have made progress, learning to align medi…