218 citations · 220 across the 11 of their papers we have counts for
4 papers · 1 filter
SRPR-Net: Semantic and Relational Prompt Refinement for Automated SAM-based Instance Segmentation
Lufei Liu, Guojie Li, Suncheng Xiang +1
Instance segmentation is a fundamental computer vision task with diverse real-world applications. Recently, prompt-driven foundation models have shown promising generalization. How…
CoBa: Cost-Effective Test-Time Scaling via Compute-Balanced Routing
Yan Zhou, Yue Ouyang, Kaiyang Zheng +1
Test-time scaling is often implemented by spending more compute along one axis: sampling more solutions, extending a chain of thought, or applying a stronger evaluator. Under a fix…
MedCore: Boundary-Preserving Medical Core Pruning for MedSAM
Cenwei Zhang, Suncheng Xiang, Lei You
Medical segmentation foundation models such as SAM and MedSAM provide strong prompt-driven segmentation, but their image encoders are still too large for many clinical settings. Co…
BMDS-Net:Deployment-aware multi-modal brain tumor segmentation with adaptive fusion,decoder regularization,and Bayesian calibration
Yan Zhou, Suncheng Xiang, Zhen Huang +3
Multi-modal MRI enables detailed brain tumor sub-region segmentation, but clinical deployment remains affected by missing sequences,boundary errors, and overconfident predictions.…