Yinghuan Shi

9

Papers

12

Total Citations

Papers (9)

Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP

Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd Counting

Correspondence as Video: Test-Time Adaption on SAM2 for Reference Segmentation in the Wild

PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance

Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning

Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation

Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization

Divide-and-Conquer for Enhancing Unlabeled Learning, Stability, and Plasticity in Semi-supervised Continual Learning