| 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 | 1158 | 2016 |
| Staple: Complementary Learners for Real-Time Tracking L Bertinetto, J Valmadre, S Golodetz, O Miksik, P Torr The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 | 869 | 2016 |
| End-to-end representation learning for the Correlation Filter J Valmadre, L Bertinetto, JF Henriques, A Vedaldi, PHS Torr The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 605* | 2017 |
| Learning feed-forward one-shot learners L Bertinetto, JF Henriques, J Valmadre, P Torr, A Vedaldi Advances in Neural Information Processing Systems (NeurIPS), 523-531, 2016 | 200 | 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 | 125 | 2018 |
| Fast online object tracking and segmentation: A unifying approach Q Wang, L Zhang, L Bertinetto, W Hu, PHS Torr Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 109 | 2019 |
| The thermal infrared visual object tracking VOT-TIR2015 challenge results M Felsberg, A Berg, G Hager, J Ahlberg, M Kristan, J Matas, A Leonardis, ... Proceedings of the IEEE International Conference on Computer Vision …, 2015 | 76 | 2015 |
| Meta-learning with differentiable closed-form solvers L Bertinetto, JF Henriques, PHS Torr, A Vedaldi Proceedings of the 7th International Conference on Learning Representations …, 2019 | 70 | 2019 |
| Long-term Tracking in the Wild: A Benchmark J Valmadre, L Bertinetto, JF Henriques, R Tao, A Vedaldi, A Smeulders, ... The European Conference on Computer Vision (ECCV), 2018 | 38 | 2018 |
| The visual object tracking vot2015 challenge results K Matej, J Matas, A Leonardis, M Felsberg, L Čehovin, G Fernández, ... Workshop on the Visual Object Tracking Challenge (VOT, in conjunction with ICCV), 2015 | 22 | 2015 |
| The Importance of Estimating Object Extent when Tracking with Correlation Filters L Bertinetto, J Valmadre, O Miksik, S Golodetz, P Torr | 7 | 2015 |
| Let's Take This Online: Adapting Scene Coordinate Regression Network Predictions for Online RGB-D Camera Relocalisation T Cavallari, L Bertinetto, J Mukhoti, P Torr, S Golodetz 2019 International Conference on 3D Vision (3DV), 564-573, 2019 | 5 | 2019 |
| Anchor Diffusion for Unsupervised Video Object Segmentation Z Yang, Q Wang, L Bertinetto, W Hu, S Bai, PHS Torr The IEEE International Conference on Computer Vision (ICCV), 2019 | 2 | 2019 |
| Shot-based object retrieval from video with compressed fisher vectors L Bertinetto, A Fiandrotti, E Magli 2014 22nd European Signal Processing Conference (EUSIPCO), 2210-2214, 2014 | 2 | 2014 |
| Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks L Bertinetto, R Mueller, K Tertikas, S Samangooei, NA Lord arXiv preprint arXiv:1912.09393, 2019 | | 2019 |
| Learning (to learn) from few examples L Bertinetto University of Oxford, 2019 | | 2019 |
Philip TorrProfessor, University of OxfordVerified email at eng.ox.ac.uk
