| Fully-convolutional siamese networks for object tracking L Bertinetto, J Valmadre, JF Henriques, A Vedaldi, PHS Torr Computer Vision – ECCV 2016 Workshops, 850-865, 2016 | 4192 | 2016 |
| Staple: Complementary learners for real-time tracking L Bertinetto, J Valmadre, S Golodetz, O Miksik, PHS Torr IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1401-1409, 2016 | 1986 | 2016 |
| End-to-end representation learning for correlation filter based tracking J Valmadre, L Bertinetto, J Henriques, A Vedaldi, PHS Torr IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2805-2813, 2017 | 1698 | 2017 |
| Learning feed-forward one-shot learners L Bertinetto, JF Henriques, J Valmadre, PHS Torr, A Vedaldi Advances in Neural Information Processing Systems (NeurIPS), 523-531, 2016 | 490 | 2016 |
| Long-term tracking in the wild: A benchmark J Valmadre, L Bertinetto, JF Henriques, R Tao, A Vedaldi, ... European Conference on Computer Vision (ECCV), 670-685, 2018 | 174 | 2018 |
| Dense semantic correspondence where every pixel is a classifier H Bristow, J Valmadre, S Lucey IEEE International Conference on Computer Vision (ICCV), 4024-4031, 2015 | 65 | 2015 |
| General trajectory prior for non-rigid reconstruction J Valmadre, S Lucey IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1394-1401, 2012 | 63 | 2012 |
| Deterministic 3D human pose estimation using rigid structure J Valmadre, S Lucey European Conference on Computer Vision (ECCV), 467-480, 2010 | 58 | 2010 |
| Separable spatiotemporal priors for convex reconstruction of time-varying 3D point clouds T Simon, J Valmadre, I Matthews, Y Sheikh European Conference on Computer Vision (ECCV), 204-219, 2014 | 37 | 2014 |
| Devon: Deformable volume network for learning optical flow Y Lu, J Valmadre, H Wang, J Kannala, M Harandi, P Torr IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2705-2713, 2020 | 34 | 2020 |
| Learning with Neighbor Consistency for Noisy Labels A Iscen, J Valmadre, A Arnab, C Schmid IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 4672-4681, 2022 | 25 | 2022 |
| Efficient articulated trajectory reconstruction using dynamic programming and filters J Valmadre, Y Zhu, S Sridharan, S Lucey European Conference on Computer Vision (ECCV), 72–85, 2012 | 20 | 2012 |
| Kronecker-markov prior for dynamic 3d reconstruction T Simon, J Valmadre, I Matthews, Y Sheikh IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 39 (11 …, 2016 | 18 | 2016 |
| Local metrics for multi-object tracking J Valmadre, A Bewley, J Huang, C Sun, C Sminchisescu, C Schmid arXiv preprint arXiv:2104.02631, 2021 | 13 | 2021 |
| Learning detectors quickly with stationary statistics J Valmadre, S Sridharan, S Lucey Asian Conference on Computer Vision (ACCV), 99-114, 2014 | 13* | 2014 |
| Closed-form solutions for low-rank non-rigid reconstruction J Valmadre, S Sridharan, S Denman, C Fookes, S Lucey International Conference on Digital Image Computing: Techniques and …, 2015 | 7 | 2015 |
| The importance of estimating object extent when tracking with correlation filters L Bertinetto, J Valmadre, S Golodetz, O Miksik, PHS Torr ICCV VOT workshop, 2015 | 7 | 2015 |
| and Z. Chi. The visual object tracking vot2016 challenge results M Kristan, A Leonardis, J Matas Computer vision–ECCV, 8-10, 2016 | 6 | 2016 |
| Camera-less articulated trajectory reconstruction Y Zhu, J Valmadre, S Lucey 21st International Conference on Pattern Recognition (ICPR), 2012 | 6 | 2012 |
| A global analysis of global optimisation LE MacDonald, H Saratchandran, J Valmadre, S Lucey arXiv preprint arXiv:2210.05371, 2022 | 2 | 2022 |
Philip TorrProfessor, University of Oxford在 eng.ox.ac.uk 的电子邮件经过验证
