Search Results - Martin, P.-E.

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  1. 1

    Fine-grained action detection with RGB and pose information using two stream convolutional networks

    Hacker, L., Bartels, F., Martin, P.-E.
    Published in CEUR Workshop Proceedings (2023)
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  2. 2

    Three-stream 3D/1D CNN for fine-grained action classification and segmentation in table tennis

    Martin, P.-E., Benois-Pineau, J., Péteri, R., Morlier, J.
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  3. 3

    Fine grained sport action recognition with Twin spatio-temporal convolutional neural networks application to table tennis

    Martin, P. E., Benois-Pineau, J., Péteri, R., Morlier, J.
    Published in Multimedia Tools and Applications (2020)
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  4. 4

    Refinements of moment-based cost functions improve prediction of experimental moment profiles in cycling

    van Werkhoven, H., Sommer, H. J., Martin, P. E.
    congress proceedings
    “…Martin, P. E.…”
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  5. 5

    Lower extremity mechanical work explains interindividual variability of running economy

    Heise, G. D., Smith, J., Martin, P. E.
    congress proceedings
    “…Martin, P. E.…”
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  6. 6

    Is a joint moment-based cost function associated with preferred cycling cadence?

    Marsh, A. P., Martin, P. E., Sanderson, D. J.
    Published in Journal of Biomechanics (2000)
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  7. 7

    Effect of cadence, cycling experience and aerobic power on delta efficiency during cycling

    Marsh, A. P., Martin, P. E., Foley, K. O.
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  8. 8

    Effect of cadence, cycling experience, and aerobic power on delta efficiency during cycling

    Marsh, A. P., Martin, P. E., Foley, K. O.
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  9. 9

    Ground reaction force characteristics and running economy

    Heise, G. D., Martin, P. E., Carroll, P. S.
    Published 1996
    research paper
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  10. 10

    Effect of cycling experience, aerobic power and power output on preferred and most economical cycling cadences

    Marsh, A. P., Martin, P. E.
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