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  1. 1

    Deep decision trees for discriminative dictionary learning with adversarial multi-agent trajectories

    Fernando, T., Sridharan, S., Fookes, C., Denman, S.
    Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (2018)
    “…IEEE…”
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  2. 2

    Automatic tactical adjustment in real-time: modeling adversary formations with radon-cumulative distribution transform and canonical correlation analysis

    Rahimi, A. M., Kolouri, S., Bhattacharyya, R.
    Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (2017)
    “…IEEE…”
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  3. 3

    Building a labeled dataset for recognition of handball actions using mask R-CNN and STIPS

    Ivasic-Kos, M., Pobar, M.
    Published in 2018 7th European Workshop on Visual Information Processing (EUVIP) (2018)
    “…IEEE…”
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  4. 4

    Recognising team activities from noisy data

    Bialkowski, A., Lucey, P., Carr, P., Denman, S., Matthews, I., Sridharan, S.
    Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (2013)
    “…IEEE…”
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  5. 5

    Representing and discovering adversarial team behaviors using player roles

    Lucey, P., Bialkowski, A., Carr, P., Morgan, S., Matthews, I., Sheikh, Y.
    Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (2013)
    “…IEEE…”
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  6. 6

    The VO2max differences based on the position roles amongst Malaysia leagues soccer athletes

    Adnan, R., Sharifudin, S. A., Tumijan, W., Sulaiman, N.
    Published in IEEE Colloquium on Humanities, Science and Engineering (CHUSER), 2011 (2011)
    “…IEEE Service Center…”
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  7. 7

    Study on the trait sport-confidence of the collegiate basketball athletes and its influence factors

    Lu, T., Wang, E.
    Published in Proceedings of the International Conference on Human Health and Biomedical Engineering (HHBE), 2011 (2011)
    “…IEEE Service Center…”
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