activity
20242026
collaborators

9 papers

cs.CV2026

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation

Qiang Hu, Yuxuan Luo, Yingjie Guo +4

Despite significant advances in Medical Report Generation (MRG), the reliability remains constrained by the prevalence of factual errors. While Direct Preference Optimization (DPO)…

cs.CV2026

CARVE: Cross-Slice Anisotropic Reallocation of Visual Evidence for Efficient 3D Medical Volume Understanding

Zhenyu Yi, Qiang Hu, Zhenhao Li +3

Slice-based MLLMs leverage mature 2D encoders by representing 3D volumes as sequences of 2D slices. However, this slice-wise formulation produces thousands of visual tokens that bu…

cs.CV2026

Mask to Concept: Auto-Promptable SAM3 via Efficient Test-Time Concept Embedding Search for Few-Shot Annotation

Quan Zhou, Shaoqing Zhai, Qiang Hu +3

Transforming foundation segmentation models from human-prompted tools into auto-promptable annotators is critical for scalable medical data annotation. Current methods commonly dep…

cs.CV2026

Moving Light Adaptive Colonoscopy Reconstruction via Illumination-Attenuation-Aware 3D Gaussian Splatting

Hao Wang, Ying Zhou, Haoyu Zhao +5

3D Gaussian Splatting (3DGS) enables real-time view synthesis in colonoscopy but assumes static illumination, making it incompatible with the strong photometric variations caused b…

cs.CV2026

Pairing-free Group-level Knowledge Distillation for Robust Gastrointestinal Lesion Classification in White-Light Endoscopy

Qiang Hu, Qimei Wang, Yingjie Guo +2

White-Light Imaging (WLI) is the standard for endoscopic cancer screening, but Narrow-Band Imaging (NBI) offers superior diagnostic details. A key challenge is transferring knowled…

cs.CV2025

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation

Qiang Hu, Ying Zhou, Gepeng Ji +3

Existing video polyp segmentation (VPS) paradigms usually struggle to balance between spatiotemporal modeling and domain generalization, limiting their applicability in real clinic…