collaborators

5 papers

cs.CV2026

MetaDent: Labeling Clinical Images for Vision-Language Models in Dentistry

Meng-Xun Li, Wen-Hui Deng, Zhi-Xing Wu +6

Vision-Language Models (VLMs) have demonstrated significant potential in medical image analysis, yet their application in intraoral photography remains largely underexplored due to…

cs.CV2026

VPTracker: Global Vision-Language Tracking via Visual Prompt

Jingchao Wang, Kaiwen Zhou, Zhijian Wu +3

Vision-Language Tracking aims to continuously localize objects described by a visual template and a language description. Existing methods, however, are typically limited to local…

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.CV2025

Unlocking the Potential of MLLMs in Referring Expression Segmentation via a Light-weight Mask Decoder

Jingchao Wang, Zhijian Wu, Dingjiang Huang +2

Reference Expression Segmentation (RES) aims to segment image regions specified by referring expressions and has become popular with the rise of multimodal large models (MLLMs). Wh…

cs.CV2025

IQE-CLIP: Instance-aware Query Embedding for Zero-/Few-shot Anomaly Detection in Medical Domain

Hong Huang, Weixiang Sun, Zhijian Wu +4

Recently, the rapid advancements of vision-language models, such as CLIP, leads to significant progress in zero-/few-shot anomaly detection (ZFSAD) tasks. However, most existing CL…