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  1. No Access

    Article

    A decomposition-based many-objective evolutionary algorithm with weight grou** and adaptive adjustment

    Multiobjective evolutionary algorithms based on decomposition (MOEA/D) have attracted tremendous interest and have been thoroughly developed because of their excellent performance in multi/many-objective optim...

    **aoxin Gao, Fazhi He, **kun Luo, Tongzhen Si in Memetic Computing (2024)

  2. No Access

    Article

    UnifiedSC: a unified framework via collaborative optimization for multi-task person re-identification

    Person re-identification (ReID) encompasses two independent study branches, i.e., single-modality and cross-modality identifications. Since single-modality and cross-modality pedestrian data have completely di...

    Tongzhen Si, Fazhi He, Penglei Li in Applied Intelligence (2024)

  3. No Access

    Article

    Hybrid feature constraint with clustering for unsupervised person re-identification

    Unsupervised person re-identification (Re-ID) has better scalability and usability in real-world deployments due to the lack of annotations, which is more challenging than supervised methods. State-of-the-art ...

    Tongzhen Si, Fazhi He, Penglei Li in The Visual Computer (2023)

  4. No Access

    Chapter and Conference Paper

    Generative Model for Person Re-Identification: A Review

    Person re-identification (re-ID) could automatically match the same pedestrian across multiple cameras. In this paper, we review three kinds of person re-ID methods with the generative model and comprehensivel...

    Zhong Zhang, Tongzhen Si, Shuang Liu in Communications, Signal Processing, and Systems (2020)

  5. No Access

    Chapter and Conference Paper

    Generating Pedestrian Images for Person Re-identification

    Person re-identification (re-ID) is mainly used to search the target pedestrian in different cameras. In this paper, we employ generative adversarial network (GAN) to expand training samples and evaluate the p...

    Zhong Zhang, Tongzhen Si, Shuang Liu in Communications, Signal Processing, and Systems (2020)

  6. Article

    Open Access

    Learning deep features from body and parts for person re-identification in camera networks

    In this paper, we propose to learn deep features from body and parts (DFBP) in camera networks which combine the advantages of part-based and body-based features. Specifically, we utilize subregion pairs to tr...

    Zhong Zhang, Tongzhen Si in EURASIP Journal on Wireless Communications and Networking (2018)

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