| Argoverse: 3d tracking and forecasting with rich maps MF Chang, J Lambert, P Sangkloy, J Singh, S Bak, A Hartnett, D Wang, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1308 | 2019 |
| Diversity regularized spatiotemporal attention for video-based person re-identification S Li, S Bak, P Carr, X Wang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 410 | 2018 |
| Argoverse 2: Next generation datasets for self-driving perception and forecasting B Wilson, W Qi, T Agarwal, J Lambert, J Singh, S Khandelwal, B Pan, ... arXiv preprint arXiv:2301.00493, 2023 | 388 | 2023 |
| Domain adaptation through synthesis for unsupervised person re-identification S Bak, P Carr, JF Lalonde Proceedings of the European conference on computer vision (ECCV), 189-205, 2018 | 271 | 2018 |
| Computer vision for sports: Current applications and research topics G Thomas, R Gade, TB Moeslund, P Carr, A Hilton Computer Vision and Image Understanding 159, 3-18, 2017 | 237 | 2017 |
| Coordinated multi-agent imitation learning HM Le, Y Yue, P Carr, P Lucey International Conference on Machine Learning, 1995-2003, 2017 | 220 | 2017 |
| Large-scale analysis of soccer matches using spatiotemporal tracking data A Bialkowski, P Lucey, P Carr, Y Yue, S Sridharan, I Matthews 2014 IEEE international conference on data mining, 725-730, 2014 | 203 | 2014 |
| quality vs quantity: Improved shot prediction in soccer using strategic features from spatiotemporal data P Lucey, A Bialkowski, M Monfort, P Carr, I Matthews MIT, 2015 | 196 | 2015 |
| Tracking sports players with context-conditioned motion models J Liu, P Carr, RT Collins, Y Liu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 164 | 2013 |
| One-shot metric learning for person re-identification S Bak, P Carr Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 156 | 2017 |
| Assessing team strategy using spatiotemporal data P Lucey, D Oliver, P Carr, J Roth, I Matthews Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 139 | 2013 |
| Learning fine-grained spatial models for dynamic sports play prediction Y Yue, P Lucey, P Carr, A Bialkowski, I Matthews 2014 IEEE international conference on data mining, 670-679, 2014 | 129 | 2014 |
| Data-driven ghosting using deep imitation learning HM Le, P Carr, Y Yue, P Lucey MIT sloan sports analytics conference, 2017 | 126 | 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 | 122 | 2013 |
| Identifying team style in soccer using formations learned from spatiotemporal tracking data A Bialkowski, P Lucey, P Carr, Y Yue, S Sridharan, I Matthews 2014 IEEE international conference on data mining workshop, 9-14, 2014 | 121 | 2014 |
| Method and device for hybrid robotic/virtual pan-tilt-zoom cameras for autonomous event recording GPK Carr, MPK Mistry, I Matthews, Y Sheikh US Patent 10,165,157, 2018 | 113 | 2018 |
| Win at home and draw away: Automatic formation analysis highlighting the differences in home and away team behaviors A Bialkowski, P Lucey, P Carr, Y Yue, I Matthews Proceedings of 8th annual MIT sloan sports analytics conference, 1-7, 2014 | 99 | 2014 |
| How to get an open shot: Analyzing team movement in basketball using tracking data P Lucey, A Bialkowski, P Carr, Y Yue, I Matthews Proceedings of the 8th annual MIT SLOAN sports analytics conference, 2014 | 97 | 2014 |
| Improved single image dehazing using geometry P Carr, R Hartley 2009 Digital Image Computing: Techniques and Applications, 103-110, 2009 | 95 | 2009 |
| Monocular object detection using 3d geometric primitives P Carr, Y Sheikh, I Matthews Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 77 | 2012 |
