5 citations · 8 across the 3 of their papers we have counts for
3 papers
eess.IV2025
TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation
Mengzhu Wang, Jiao Li, Shanshan Wang +4
Semi-supervised learning (SSL) has achieved significant progress in medical image segmentation (SSMIS) through effective utilization of limited labeled data. While current SSL meth…
cs.CV2022★ 5 cited
Combined CNN Transformer Encoder for Enhanced Fine-grained Human Action Recognition
Mei Chee Leong, Haosong Zhang, Hui Li Tan +2
Fine-grained action recognition is a challenging task in computer vision. As fine-grained datasets have small inter-class variations in spatial and temporal space, fine-grained act…
cs.LG2020★ 3 cited
Improving Unsupervised Domain Adaptation by Reducing Bi-level Feature Redundancy
Mengzhu Wang, Xiang Zhang, Long Lan +3
Reducing feature redundancy has shown beneficial effects for improving the accuracy of deep learning models, thus it is also indispensable for the models of unsupervised domain ada…