| Accurate, robust, and flexible real-time hand tracking T Sharp, C Keskin, D Robertson, J Taylor, J Shotton, D Kim, C Rhemann, ... Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing …, 2015 | 403 | 2015 |
| The vitruvian manifold: Inferring dense correspondences for one-shot human pose estimation J Taylor, J Shotton, T Sharp, A Fitzgibbon 2012 IEEE Conference on Computer Vision and Pattern Recognition, 103-110, 2012 | 296 | 2012 |
| Fusion4d: Real-time performance capture of challenging scenes M Dou, S Khamis, Y Degtyarev, P Davidson, SR Fanello, A Kowdle, ... ACM Transactions on Graphics (TOG) 35 (4), 1-13, 2016 | 254 | 2016 |
| Efficient and precise interactive hand tracking through joint, continuous optimization of pose and correspondences J Taylor, L Bordeaux, T Cashman, B Corish, C Keskin, T Sharp, E Soto, ... ACM Transactions on Graphics (TOG) 35 (4), 1-12, 2016 | 201 | 2016 |
| 3D scanning deformable objects with a single RGBD sensor M Dou, J Taylor, H Fuchs, A Fitzgibbon, S Izadi Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 130 | 2015 |
| Non-rigid structure from locally-rigid motion J Taylor, AD Jepson, KN Kutulakos 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 130 | 2010 |
| Opening the black box: Hierarchical sampling optimization for estimating human hand pose D Tang, J Taylor, P Kohli, C Keskin, TK Kim, J Shotton Proceedings of the IEEE international conference on computer vision, 3325-3333, 2015 | 123 | 2015 |
| Terpret: A probabilistic programming language for program induction AL Gaunt, M Brockschmidt, R Singh, N Kushman, P Kohli, J Taylor, ... arXiv preprint arXiv:1608.04428, 2016 | 96 | 2016 |
| User-Specific Hand Modeling from Monocular Depth Sequences J Taylor, R Stebbing, V Ramakrishna, C Keskin, J Shotton, S Izadi, ... CVPR, 2014 | 86 | 2014 |
| Learning an efficient model of hand shape variation from depth images S Khamis, J Taylor, J Shotton, C Keskin, S Izadi, A Fitzgibbon Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 85 | 2015 |
| FlexSense: a transparent self-sensing deformable surface C Rendl, D Kim, S Fanello, P Parzer, C Rhemann, J Taylor, M Zirkl, ... Proceedings of the 27th annual ACM symposium on User interface software and …, 2014 | 76 | 2014 |
| Fits like a glove: Rapid and reliable hand shape personalization D Joseph Tan, T Cashman, J Taylor, A Fitzgibbon, D Tarlow, S Khamis, ... Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 67 | 2016 |
| Large-scale and drift-free surface reconstruction using online subvolume registration N Fioraio, J Taylor, A Fitzgibbon, L Di Stefano, S Izadi Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 51 | 2015 |
| Learning Step Size Controllers for Robust Neural Network Training. C Daniel, J Taylor, S Nowozin AAAI, 1519-1525, 2016 | 47 | 2016 |
| Articulated distance fields for ultra-fast tracking of hands interacting J Taylor, V Tankovich, D Tang, C Keskin, D Kim, P Davidson, A Kowdle, ... ACM Transactions on Graphics (TOG) 36 (6), 1-12, 2017 | 43 | 2017 |
| Bounding performance loss in approximate MDP homomorphisms J Taylor, D Precup, P Panagaden Advances in Neural Information Processing Systems, 1649-1656, 2009 | 40 | 2009 |
| Lookingood: Enhancing performance capture with real-time neural re-rendering R Martin-Brualla, R Pandey, S Yang, P Pidlypenskyi, J Taylor, J Valentin, ... arXiv preprint arXiv:1811.05029, 2018 | 39 | 2018 |
| Metric regression forests for correspondence estimation G Pons-Moll, J Taylor, J Shotton, A Hertzmann, A Fitzgibbon International Journal of Computer Vision 113 (3), 163-175, 2015 | 35 | 2015 |
| Computing pose and/or shape of modifiable entities JDJ Shotton, AW Fitzgibbon, JJ Taylor, MD Cook US Patent 8,724,906, 2014 | 31 | 2014 |
| Metric Regression Forests for Human Pose Estimation G Pons-Moll, J Taylor, J Shotton, A Hertzmann, A Fitzgibbon BMVC, 2013 | 30 | 2013 |
Shahram IzadiDirector, GoogleVerified email at google.com
