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PERSON RE-IDENTIFICATION BY RANKING ENSEMBLE REPRESENTATIONS
(IEEE, 2019)
Existing deep learning algorithms for person re-identification (re-id) typically rely on single-sample classification or pairwise matching constraints. This indicates a breach of deployment due to ignoring the probe-specific ...
Intra-Camera Supervised Person Re-Identification
(Springer, 2021-05)
Existing person re-identification (re-id) methods mostly exploit a large set of cross-camera identity labelled training data. This requires a tedious data collection and annotation process, leading to poor scalability in ...
Hierarchical distillation learning for scalable person search
(Elsevier, 2021-06)
Existing person search methods typically focus on improving person detection accuracy. This ignores the model inference efficiency, which however is fundamentally significant for real-world applications. In this work, we ...
Unsupervised Tracklet Person Re-Identification
(2020-07-01)