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Author

Qi-Xian Zhang

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Aug 2026

IRPP: Invariant Representation Learning With Progressive Prototype Refinement for Unsupervised Person Re-Identification

Unsupervised person re-identification (USL-ReID) typically relies on clustering to generate pseudo-labels, but significant cross-view appearance variations often cause images of the same identity to be split into different clusters. Training on such noisy pseudo-labels severely degrades the learned representations. The...

Xuan Tan, Qi-Xian Zhang, Ding Qi et al. · 0 citations
Jul 2026

Mask-Guided Asymmetric Contrastive and Semantic Alignment for Unsupervised Person Re-Identification

Unsupervised person re-identification (ReID) aims to learn identity-discriminative representations without manual annotations, which is challenging due to noisy pseudo labels, background clutter, and large appearance variations. Recent studies have shown that exploiting fine-grained local cues is crucial for improving...

Xuan Tan, Ruijian Wei, Qixian Zhang et al. · 0 citations

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