Numerical coordinate regression with convolutional neural networks A Nibali, Z He, S Morgan, L Prendergast arXiv preprint arXiv:1801.07372, 2018 | 288 | 2018 |
Matchplay characteristics of Grand Slam tennis: implications for training and conditioning M Reid, S Morgan, D Whiteside Journal of sports sciences 34 (19), 1791-1798, 2016 | 239 | 2016 |
When is a sprint a sprint? A review of the analysis of team-sport athlete activity profile AJ Sweeting, SJ Cormack, S Morgan, RJ Aughey Frontiers in physiology 8, 432, 2017 | 169 | 2017 |
Representing and discovering adversarial team behaviors using player roles P Lucey, A Bialkowski, P Carr, S Morgan, I Matthews, Y Sheikh Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 128 | 2013 |
3d human pose estimation with 2d marginal heatmaps A Nibali, Z He, S Morgan, L Prendergast 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1477-1485, 2019 | 127 | 2019 |
The acceleration and deceleration profiles of elite female soccer players during competitive matches JK Mara, KG Thompson, KL Pumpa, S Morgan Journal of science and medicine in sport 20 (9), 867-872, 2017 | 111 | 2017 |
Large-scale analysis of formations in soccer X Wei, L Sha, P Lucey, S Morgan, S Sridharan 2013 international conference on digital image computing: techniques and …, 2013 | 93 | 2013 |
Discovering frequently recurring movement sequences in team-sport athlete spatiotemporal data AJ Sweeting, RJ Aughey, SJ Cormack, S Morgan Journal of Sports Sciences 35 (24), 2439-2445, 2017 | 91 | 2017 |
Quantifying the high-speed running and sprinting profiles of elite female soccer players during competitive matches using an optical player tracking system JK Mara, KG Thompson, KL Pumpa, S Morgan The Journal of Strength & Conditioning Research 31 (6), 1500-1508, 2017 | 77 | 2017 |
Differences in oculomotor behaviour between elite athletes from visually and non visually oriented sports S Morgan, J Patterson, C MacMahon, D Farrow International Journal of Sport Psychology 40 (4), 489, 2009 | 72 | 2009 |
Successful short passing frequency of defenders differentiates between top and bottom four English Premier League teams D Adams, R Morgans, J Sacramento, S Morgan, MD Williams International Journal of Performance Analysis in Sport 13 (3), 653-668, 2013 | 61 | 2013 |
“Sweet-Spot”: Using Spatiotemporal Data to Discover and Predict Shots in Tennis X Wei, P Lucey, S Morgan, S Sridharan | 59 | 2013 |
Predicting serves in tennis using style priors X Wei, P Lucey, S Morgan, P Carr, M Reid, S Sridharan Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 58 | 2015 |
Applying decision tree induction for identification of important attributes in one-versus-one player interactions: A hockey exemplar S Morgan, MD Williams, C Barnes Journal of Sports Sciences, 1-7, 2013 | 52 | 2013 |
Rankings in professional men’s tennis: a rich but underutilized source of information M Reid, S Morgan, T Churchill, MK Bane Journal of Sports Sciences 32 (10), 986-992, 2014 | 51 | 2014 |
Forecasting the Next Shot Location in Tennis using Fine-Grained Spatiotemporal Tracking Data X Wei, P Lucey, S Morgan, S Sridharan IEEE Transactions on Knowledge & Data Engineering, 2016 | 44 | 2016 |
Predicting shot locations in tennis using spatiotemporal data X Wei, P Lucey, S Morgan, S Sridharan 2013 International Conference on Digital Image Computing: Techniques and …, 2013 | 43 | 2013 |
Fine-grained action recognition of boxing punches from depth imagery S Kasiri, C Fookes, S Sridharan, S Morgan Computer Vision and Image Understanding 159, 143-153, 2017 | 41 | 2017 |
Continuous video to simple signals for swimming stroke detection with convolutional neural networks B Victor, Z He, S Morgan, D Miniutti Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 41 | 2017 |
Has player development in men’s tennis really changed? An historical rankings perspective MK Bane, M Reid, S Morgan Journal of Sports Sciences 32 (15), 1477-1484, 2014 | 41 | 2014 |