5 citations · 14 across the 4 of their papers we have counts for
4 papers
Learning Robust Visual-Semantic Embedding for Generalizable Person Re-identification
Suncheng Xiang, Jingsheng Gao, Mengyuan Guan +5
Generalizable person re-identification (Re-ID) is a very hot research topic in machine learning and computer vision, which plays a significant role in realistic scenarios due to it…
Rethinking Person Re-Identification via Semantic-Based Pretraining
Suncheng Xiang, Jingsheng Gao, Zirui Zhang +5
Pretraining is a dominant paradigm in computer vision. Generally, supervised ImageNet pretraining is commonly used to initialize the backbones of person re-identification (Re-ID) m…
Less is More: Learning from Synthetic Data with Fine-grained Attributes for Person Re-Identification
Suncheng Xiang, Guanjie You, Mengyuan Guan +4
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…
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…