8 citations · 9 across the 5 of their papers we have counts for
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Dual-Edged Homogeneous-Modality Similarity: Towards Visible-Infrared Modality-Incomplete Person Re-Identification with Modality Adaptive Matching
Xin Xu, Shuhao Zhan, Wei Liu +3
Visible-Infrared Person Re-Identification (VI-ReID) operates under a closed-world assumption, where queries and galleries are from heterogeneous modalities. However, in open-world…
From Calibration to Refinement: Seeking Certainty via Probabilistic Evidence Propagation for Noisy-Label Person Re-Identification
Xin Yuan, Zhiyong Zhang, Xin Xu +2
With the increasing demand for robust person Re-ID in unconstrained environments, learning from datasets with noisy labels and sparse per-identity samples remains a critical challe…
Unsupervised Video Person Re-identification via Noise and Hard frame Aware Clustering
Pengyu Xie, Xin Xu, Zheng Wang +1
Unsupervised video-based person re-identification (re-ID) methods extract richer features from video tracklets than image-based ones. The state-of-the-art methods utilize clusterin…
Re-identification = Retrieval + Verification: Back to Essence and Forward with a New Metric
Zheng Wang, Xin Yuan, Toshihiko Yamasaki +3
Re-identification (re-ID) is currently investigated as a closed-world image retrieval task, and evaluated by retrieval based metrics. The algorithms return ranking lists to users,…
Person Re-Identification via Active Hard Sample Mining
Xin Xu, Lei Liu, Weifeng Liu +2
Annotating a large-scale image dataset is very tedious, yet necessary for training person re-identification models. To alleviate such a problem, we present an active hard sample mi…