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Author

Cong Hu

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Sep 2026

Adaptation of Segment Anything Model enhanced by contrastive-manifold-regularised SSL and YOLO prompting for liver tumour segmentation.

MED-SAM is presented, a 2D semi-supervised framework employing the medical SAM adapter (Med-SA), trained with contrastive manifold regularisation and YOLO-guided click prompts, indicating that MED-SAM can support treatment-planning workflows in hepatobiliary surgery while addressing the challenges of scarce annotations...

Cong-Bin Zhu, Hui Zhu, Qi-Liang Wang et al. · 0 citations
Preprint Sep 2026

FoRIS: Progressive Foreground Refinement for Training-Free In-Context Segmentation

FoRIS consists of three key stages: Foreground Purification, Foreground Localization, and Foreground Consolidation, which progressively suppress background distractions, localize discriminative target regions, and recover complete foreground structures through semantic aggregation.

Ming Hu, Jian-Fu Yin, Ming-Yu Dou et al. · 0 citations
Jul 2026

WhereEdit: Mask-aware Local Latent Editing for One-Step Image Editing

This work revisits one-step image editing from a spatially controlled perspective and proposes WhereEdit, a framework that reformulates one-step editing as localized adaptive editing that consistently outperforms existing one-step image editing methods, achieving superior editing quality while maintaining the efficienc...

Ming Hu, Ming-Yu Dou, Jian-Fu Yin et al. · 1 citation

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