most citedMedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations

1 citations · 1 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2026

UR-MLLM: Uncertainty-aware Revisit Reasoning in Multimodal Large Language Models for Radiology Report Generation

Yucheng Chen, Yang Yu, Jiazhou Zhou +5

Radiologists generate diagnostic reports through iterative and selective revisiting of suspicious regions to refine their interpretations. Recent multimodal large language models (…

cs.CV2026

Seeing Through Multiple Views: Parameter-Efficient Fine-Tuning via Selective Neurons for Consistent Radiology Report Generation

Yucheng Chen, Jinjing Zhu, Yang Yu +7

Recent years have seen substantial advances in radiology report generation (RRG), yet existing approaches predominantly adopt direct feature fusion when handling multi-view X-ray i…

cs.CV2026

One Sentence, One Drama: Personalized Short-Form Drama Generation via Multi-Agent Systems

Yufei Shi, Weilong Yan, Naixuan Huang +5

Existing approaches for digital short-drama production typically rely on one-shot LLM generated scripts and loosely coupled pipelines, which fail to satisfy three key requirements…

cs.CV2026

RIHA: Report-Image Hierarchical Alignment for Radiology Report Generation

Yucheng Chen, Yang Yu, Yufei Shi +3

Radiology report generation (RRG) has emerged as a promising approach to alleviate radiologists' workload and reduce human errors by automatically generating diagnostic reports fro…

cs.CV2025

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images

Qirui Wang, Jingyi He, Yining Pan +3

Spatial reasoning (SR), the ability to infer 3D spatial information from 2D inputs, is essential for real-world applications such as embodied AI and autonomous driving. However, ex…

cs.CV2025

VELVET-Med: Vision and Efficient Language Pre-training for Volumetric Imaging Tasks in Medicine

Ziyang Zhang, Yang Yu, Xulei Yang +1

Vision-and-language models (VLMs) have been increasingly explored in the medical domain, particularly following the success of CLIP in general domain. However, unlike the relativel…

cs.CV2025

Exploiting Low-Dimensional Manifold of Features for Few-Shot Whole Slide Image Classification

Conghao Xiong, Zhengrui Guo, Zhe Xu +6

Few-shot Whole Slide Image (WSI) classification is severely hampered by overfitting. We argue that this is not merely a data-scarcity issue but a fundamentally geometric problem. G…

cs.CV2025★ 1 cited

MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations

Ziyang Zhang, Yang Yu, Yucheng Chen +2

Despite significant progress in Vision-Language Pre-training (VLP), current approaches predominantly emphasize feature extraction and cross-modal comprehension, with limited attent…

cs.CV2025

Future-Aware Interaction Network For Motion Forecasting

Shijie Li, Xun Xu, Si Yong Yeo +1

Motion forecasting is a crucial component of autonomous driving systems, enabling the generation of accurate and smooth future trajectories to ensure safe navigation to the destina…