activity
20202022
most citedMEW-UNet: Multi-axis representation learning in frequency domain for medical image segmentation

15 citations · 25 across the 3 of their papers we have counts for

collaborators

5 papers

eess.IV20227 cited

MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion Segmentation

Jiacheng Ruan, Suncheng Xiang, Mingye Xie +2

Recently, some pioneering works have preferred applying more complex modules to improve segmentation performances. However, it is not friendly for actual clinical environments due…

eess.IV202215 cited

MEW-UNet: Multi-axis representation learning in frequency domain for medical image segmentation

Jiacheng Ruan, Mingye Xie, Suncheng Xiang +2

Recently, Visual Transformer (ViT) has been widely used in various fields of computer vision due to applying self-attention mechanism in the spatial domain to modeling global knowl…

cs.CV2021

Learning from Self-Discrepancy via Multiple Co-teaching for Cross-Domain Person Re-Identification

Suncheng Xiang, Yuzhuo Fu, Mengyuan Guan +1

Employing clustering strategy to assign unlabeled target images with pseudo labels has become a trend for person re-identification (re-ID) algorithms in domain adaptation. A potent…

cs.CV2020

Taking A Closer Look at Synthesis: Fine-grained Attribute Analysis for Person Re-Identification

Suncheng Xiang, Yuzhuo Fu, Guanjie You +1

Person re-identification (re-ID) plays an important role in applications such as public security and video surveillance. Recently, learning from synthetic data, which benefits from…

cs.CV20203 cited

Attribute analysis with synthetic dataset for person re-identification

Suncheng Xiang, Yuzhuo Fu, Guanjie You +1

Person re-identification (re-ID) plays an important role in applications such as public security and video surveillance. Recently, learning from synthetic data, which benefits from…