| 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 | 1861 | 2016 |
| Staple: Complementary learners for real-time tracking L Bertinetto, J Valmadre, S Golodetz, O Miksik, PHS Torr Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 1205 | 2016 |
| 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 | 903 | 2017 |
| Learning feed-forward one-shot learners L Bertinetto, JF Henriques, J Valmadre, PHS Torr, A Vedaldi Advances in Neural Information Processing Systems, 523-531, 2016 | 303 | 2016 |
| Active modular elastomer sleeve for soft wearable assistance robots YL Park, B Chen, C Majidi, RJ Wood, R Nagpal, E Goldfield 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012 | 81* | 2012 |
| Spring-legged locomotion on uneven ground: a control approach to keep the running speed constant M Ernst, H Geyer, R Blickhan Mobile Robotics: Solutions and Challenges, 639-644, 2010 | 75* | 2010 |
| 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 | 70 | 2018 |
| General trajectory prior for non-rigid reconstruction J Valmadre, S Lucey Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on …, 2012 | 55 | 2012 |
| Deterministic 3D human pose estimation using rigid structure J Valmadre, S Lucey Computer Vision–ECCV 2010, 467-480, 2010 | 52 | 2010 |
| Dense semantic correspondence where every pixel is a classifier H Bristow, J Valmadre, S Lucey Proceedings of the IEEE International Conference on Computer Vision, 4024-4031, 2015 | 51 | 2015 |
| 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, 204-219, 2014 | 34 | 2014 |
| Efficient articulated trajectory reconstruction using dynamic programming and filters J Valmadre, Y Zhu, S Sridharan, S Lucey | 19 | 2012 |
| Learning detectors quickly with stationary statistics J Valmadre, S Sridharan, S Lucey Asian Conference on Computer Vision, 99-114, 2014 | 14* | 2014 |
| Kronecker-Markov prior for dynamic 3D reconstruction T Simon, J Valmadre, I Matthews, Y Sheikh IEEE transactions on pattern analysis and machine intelligence 39 (11), 2201 …, 2016 | 13 | 2016 |
| Devon: Deformable volume network for learning optical flow Y Lu, J Valmadre, H Wang, J Kannala, M Harandi, P Torr Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 11 | 2020 |
| The importance of estimating object extent when tracking with correlation filters L Bertinetto, J Valmadre, S Golodetz, O Miksik, PHS Torr Report for the Visual Object Tracking Workshop, 2015 | 7 | 2015 |
| Camera-less articulated trajectory reconstruction Y Zhu, J Valmadre, S Lucey | 6* | |
| Closed-form solutions for low-rank non-rigid reconstruction J Valmadre, S Sridharan, S Denman, C Fookes, S Lucey 2015 International Conference on Digital Image Computing: Techniques and …, 2015 | 4 | 2015 |
| Stationary processes for object detection and non-rigid structure-from-motion JL Valmadre Queensland University of Technology, 2016 | | 2016 |
| Graph rigidity for near-coplanar structure from motion J Valmadre, B Upcroft, S Sridharan, S Lucey Digital Image Computing Techniques and Applications (DICTA), 2011 …, 2011 | | 2011 |
Philip TorrProfessor, University of OxfordVerified email at eng.ox.ac.uk
