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  1. No Access

    Article

    Collaborative model with adaptive selection scheme for visual tracking

    Visual tracking is a challenging task since it involves develo** an effective appearance model to deal with numerous factors. In this paper, we propose a robust object tracking algorithm based on a collabora...

    Tianshan Liu, Jun Kong, Min Jiang… in International Journal of Machine Learning … (2019)

  2. No Access

    Article

    Spatiotemporal attention enhanced features fusion network for action recognition

    In recent years, action recognition has become a popular and challenging task in computer vision. Nowadays, two-stream networks with appearance stream and motion stream can make judgment jointly and get excell...

    Danfeng Zhuang, Min Jiang, Jun Kong… in International Journal of Machine Learning … (2021)

  3. No Access

    Article

    Heterogeneous dual network with feature consistency for domain adaptation person re-identification

    To reduce the noisy pseudo-labels generated by clustering for unsupervised domain adaptation (UDA) person re-identification (re-ID), the method of collaborative training between dual networks has been proposed...

    Hua Zhou, Jun Kong, Min Jiang, Tianshan Liu in International Journal of Machine Learning … (2023)

  4. No Access

    Article

    Multi-stream ternary enhanced graph convolutional network for skeleton-based action recognition

    A novel mechanism for skeleton-based action recognition is proposed in this paper by enhancing and fusing diverse skeleton features from distinct levels. Graph convolutional neural networks (GCNs) have been pr...

    Jun Kong, Shengquan Wang, Min Jiang, TianShan Liu in Neural Computing and Applications (2023)

  5. Article

    Open Access

    Category-Aware Saliency Enhance Learning Based on CLIP for Weakly Supervised Salient Object Detection

    Weakly supervised salient object detection (SOD) using image-level category labels has been proposed to reduce the annotation cost of pixel-level labels. However, existing methods mostly train a classification...

    Yunde Zhang, Zhili Zhang, Tianshan Liu, Jun Kong in Neural Processing Letters (2024)

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