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  1. 1

    The Way up: a dataset for hold usage detection in sport climbing

    Maschek, A., Schedl, D. C.
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  2. 2

    VNL-STES: a benchmark dataset and model for spatiotemporal event spotting in volleyball analytics

    Nguyen, H., Jamsrandorj, A., Chao, V., Oo, Y. M., Robbani, M. A., Mun, K.-R., Kim, J.
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    “…IEEE…”
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  3. 3

    Jump-Aware: player position rectification and identification in dynamic sports using jump event spotting

    Oo, Y. M., Jamsrandorj, A., Chao, V., Nguyen, H. Q., Hwang, Y., Mun, K.-R., Kim, J.
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  4. 4

    No train yet gain: towards generic multi-object tracking in sports and beyond

    Stanczyk, T., Yoon, S., Bremond, F.
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  5. 5

    From beats to scores: a multi-modal framework for comprehensive figure skating assessment

    Wang, F., Wang, Q., Chen, D.
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  6. 6

    AthletePose3D: a benchmark dataset for 3D human pose estimation and kinematic validation in athletic movements

    Yeung, C., Suzuki, T., Tanaka, R., Yin, Z., Fujii, K.
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  7. 7

    Polar coordinate-based 2D pose prior with neural distance field

    Gan, Q., Nguyen, S. M., Fenaux, E., Clémençon, S., El Yacoubi, M.
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  8. 8

    TT3D: table tennis 3D reconstruction

    Gossard, T., Ziegler, A., Zell, A.
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    “…IEEE…”
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  9. 9

    FineCausal: a causal-based framework for interpretable fine-grained action quality assessment

    Han, R., Zhou, K., Atapour-Abarghouei, A., Liang, X., Shum, H. P. H.
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  10. 10

    Multi-person physics-based pose estimation for combat sports

    Feizollah Zadeh Khoiee, H., Labbe, D., Romeas, T., Faubert, J., Andrews, S.
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    “…IEEE…”
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  11. 11

    Towards ball spin and trajectory analysis in table tennis broadcast videos via physically grounded synthetic-to-real transfer

    Kienzle, D., Schön, R., Lienhart, R., Satoh, S.
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  12. 12

    Efficient 2D to full 3D human pose uplifting including joint rotations

    Ludwig, K., Oksymets, Y., Schön, R., Kienzle, D., Lienhart, R.
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  13. 13

    Leveraging anthropometric measurements to improve human mesh estimation and ensure consistent body shapes

    Ludwig, K., Lorenz, J., Kienzle, D., Bui, T., Lienhart, R.
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  14. 14

    Homography based player identification in live sports

    Pandya, Y., Nandy, K., Agarwal, S.
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  15. 15

    Visualizing skiers' trajectories in monocular videos

    Dunnhofer, M., Sordi, L., Micheloni, C.
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  16. 16

    TemPose: A new skeleton-based transformer model designed for fine-grained motion recognition in badminton

    Ibh, M., Grasshof, S., Witzner, D., Madeleine, P.
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  17. 17

    A scale-invariant trajectory simplification method for efficient data collection in videos

    Liu, Y., Hafemann, L. G.
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  18. 18

    All keypoints you need: Detecting arbitrary keypoints on the body of triple, high, and long jump athletes

    Ludwig, K., Lorenz, J., Schön, R., Lienhart, R.
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  19. 19

    ExerAIde: AI-assisted multimodal diagnosis for enhanced sports performance and personalised rehabilitation

    Qazi, A., Iqbal, A.
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  20. 20

    Pseudo-label based unsupervised fine-tuning of a monocular 3D pose estimation model for sports motions

    Suzuki, T., Tanaka, R., Takeda, K., Fujii, K.
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