| 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 | 3815 | 2014 |
| Exploiting the Circulant Structure of Tracking-by-detection with Kernels JF Henriques, R Caseiro, P Martins, J Batista Computer Vision–ECCV 2012, 2012 | 1952 | 2012 |
| 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 | 1761 | 2016 |
| The visual object tracking vot2015 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, L Cehovin, G Fernandez, ... Proceedings of the IEEE international conference on computer vision …, 2015 | 1169 | 2015 |
| 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 | 868 | 2017 |
| Learning feed-forward one-shot learners L Bertinetto, JF Henriques, J Valmadre, P Torr, A Vedaldi Advances in neural information processing systems 29, 523-531, 2016 | 355* | 2016 |
| 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), 0-0, 2018 | 267 | 2018 |
| Meta-learning with differentiable closed-form solvers L Bertinetto, JF Henriques, PHS Torr, A Vedaldi arXiv preprint arXiv:1805.08136, 2018 | 199 | 2018 |
| Invariant information clustering for unsupervised image classification and segmentation X Ji, JF Henriques, A Vedaldi Proceedings of the IEEE International Conference on Computer Vision, 9865-9874, 2019 | 169* | 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 | 145 | 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 | 115 | 2013 |
| Warped convolutions: Efficient invariance to spatial transformations JF Henriques, A Vedaldi International Conference on Machine Learning, 1461-1469, 2017 | 70 | 2017 |
| Mapnet: An allocentric spatial memory for mapping environments JF Henriques, A Vedaldi proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 67 | 2018 |
| 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 | 66 | 2018 |
| 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 | 56 | 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 | 39 | 2012 |
| 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 | 30 | 2013 |
| Discriminative Bayesian Active Shape Models P Martins, R Caseiro, JF Henriques, J Batista Computer Vision–ECCV 2012, 57-70, 2012 | 30 | 2012 |
| Multi-modal self-supervision from generalized data transformations M Patrick, YM Asano, R Fong, JF Henriques, G Zweig, A Vedaldi arXiv preprint arXiv:2003.04298, 2020 | 22 | 2020 |
| Foreground segmentation via background modeling on Riemannian manifolds R Caseiro, JF Henriques, J Batista 2010 20th International Conference on Pattern Recognition, 3570-3574, 2010 | 19 | 2010 |
Jorge BatistaISR, DEEC/FCT University of CoimbraVerified email at isr.uc.pt
