| High-speed tracking with kernelized correlation filters JF Henriques, R Caseiro, P Martins, J Batista IEEE transactions on pattern analysis and machine intelligence 37 (3), 583-596, 2014 | 5198 | 2014 |
| Fully-convolutional siamese networks for object tracking L Bertinetto, J Valmadre, JF Henriques, A Vedaldi, PHS Torr European conference on computer vision, 850-865, 2016 | 2980 | 2016 |
| Exploiting the Circulant Structure of Tracking-by-detection with Kernels JF Henriques, R Caseiro, P Martins, J Batista Computer Vision–ECCV 2012, 2012 | 2468 | 2012 |
| End-to-end representation learning for correlation filter based tracking J Valmadre, L Bertinetto, J Henriques, A Vedaldi, PHS Torr Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1361 | 2017 |
| The sixth visual object tracking vot2018 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 589 | 2018 |
| Meta-learning with differentiable closed-form solvers L Bertinetto, JF Henriques, PHS Torr, A Vedaldi arXiv preprint arXiv:1805.08136, 2018 | 537 | 2018 |
| Learning feed-forward one-shot learners L Bertinetto, JF Henriques, J Valmadre, P Torr, A Vedaldi Advances in neural information processing systems 29, 2016 | 519* | 2016 |
| Invariant information clustering for unsupervised image classification and segmentation X Ji, JF Henriques, A Vedaldi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 492* | 2019 |
| Globally Optimal Solution to Multi-Object Tracking with Merged Measurements JF Henriques, R Caseiro, J Batista Computer Vision (ICCV), 2011 IEEE International Conference on, 2011 | 160 | 2011 |
| Beyond Hard Negative Mining: Efficient Detector Learning via Block-Circulant Decomposition JF Henriques, J Carreira, R Caseiro, J Batista Computer Vision (ICCV), 2013 IEEE International Conference on, 2013 | 129 | 2013 |
| Long-term tracking in the wild: A benchmark J Valmadre, L Bertinetto, JF Henriques, R Tao, A Vedaldi, ... Proceedings of the European conference on computer vision (ECCV), 670-685, 2018 | 113 | 2018 |
| Mapnet: An allocentric spatial memory for mapping environments JF Henriques, A Vedaldi proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 107 | 2018 |
| Warped convolutions: Efficient invariance to spatial transformations JF Henriques, A Vedaldi International Conference on Machine Learning, 1461-1469, 2017 | 100 | 2017 |
| Multi-modal self-supervision from generalized data transformations M Patrick, YM Asano, P Kuznetsova, R Fong, JF Henriques, G Zweig, ... arXiv preprint arXiv:2003.04298, 2020 | 96 | 2020 |
| Support-set bottlenecks for video-text representation learning M Patrick, PY Huang, Y Asano, F Metze, A Hauptmann, J Henriques, ... arXiv preprint arXiv:2010.02824, 2020 | 82 | 2020 |
| Beyond the shortest path: Unsupervised domain adaptation by sampling subspaces along the spline flow R Caseiro, JF Henriques, P Martins, J Batista Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 58 | 2015 |
| A Nonparametric Riemannian Framework on Tensor Field with Application to Foreground Segmentation R Caseiro, JF Henriques, P Martins, J Batista Pattern Recognition 45 (11), 3997-4017, 2012 | 51 | 2012 |
| Keeping your eye on the ball: Trajectory attention in video transformers M Patrick, D Campbell, Y Asano, I Misra, F Metze, C Feichtenhofer, ... Advances in neural information processing systems 34, 12493-12506, 2021 | 38 | 2021 |
| Rolling riemannian manifolds to solve the multi-class classification problem R Caseiro, P Martins, JF Henriques, F Silva Leite, J Batista Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 35 | 2013 |
| Discriminative Bayesian Active Shape Models P Martins, R Caseiro, JF Henriques, J Batista Computer Vision–ECCV 2012, 57-70, 2012 | 32 | 2012 |
Andrea VedaldiUniversity of Oxford在 robots.ox.ac.uk 的电子邮件经过验证
