activity
20172026
most citedDS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume

29 citations · 98 across the 27 of their papers we have counts for

collaborators

34 papers

cs.CV2026

Radiology Report Generation for Low-Quality X-Ray Images

Hongze Zhu, Chen Hu, Jiaxuan Jiang +6

Vision-Language Models (VLMs) have significantly advanced automated Radiology Report Generation (RRG). However, existing methods implicitly assume high-quality inputs, overlooking…

cs.CV2026

M2StyleGS: Multi-Modality 3D Style Transfer with Gaussian Splatting

Xingyu Miao, Xueqi Qiu, Haoran Duan +4

Conventional 3D style transfer methods rely on a fixed reference image to apply artistic patterns to 3D scenes. However, in practical applications such as virtual or augmented real…

cs.CV2026

Structure Observation Driven Image-Text Contrastive Learning for Computed Tomography Report Generation

Hong Liu, Dong Wei, Qiong Peng +4

Computed Tomography Report Generation (CTRG) aims to automate the clinical radiology reporting process, thereby reducing the workload of report writing and facilitating patient car…

cs.CV2025

MetaTPT: Meta Test-time Prompt Tuning for Vision-Language Models

Yuqing Lei, Yingjun Du, Yawen Huang +2

Vision-language models (VLMs) such as CLIP exhibit strong zero-shot generalization but remain sensitive to domain shifts at test time. Test-time prompt tuning (TPT) mitigates this…

cs.CV2025

X-ray Insights Unleashed: Pioneering the Enhancement of Multi-Label Long-Tail Data

Xinquan Yang, Jinheng Xie, Yawen Huang +6

Long-tailed pulmonary anomalies in chest radiography present formidable diagnostic challenges. Despite the recent strides in diffusion-based methods for enhancing the representatio…

cs.CV2025

A Hybrid Framework Bridging CNN and ViT based on Theory of Evidence for Diabetic Retinopathy Grading

Junlai Qiu, Yunzhu Chen, Hao Zheng +2

Diabetic retinopathy (DR) is a leading cause of vision loss among middle-aged and elderly people, which significantly impacts their daily lives and mental health. To improve the ef…