Jonathan Taylor
Jonathan Taylor
Senior Scientist at perceptiveIO, Inc
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
The relightables: Volumetric performance capture of humans with realistic relighting
K Guo, P Lincoln, P Davidson, J Busch, X Yu, M Whalen, G Harvey, ...
ACM Transactions on Graphics (ToG) 38 (6), 1-19, 2019
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
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
Non-rigid structure from locally-rigid motion
J Taylor, AD Jepson, KN Kutulakos
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
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
Fits like a glove: Rapid and reliable hand shape personalization
DJ Tan, T Cashman, J Taylor, A Fitzgibbon, D Tarlow, S Khamis, S Izadi, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2016
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
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
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
User-Specific Hand Modeling from Monocular Depth Sequences
J Taylor, R Stebbing, V Ramakrishna, C Keskin, J Shotton, S Izadi, ...
CVPR, 2014
Deep reflectance fields: high-quality facial reflectance field inference from color gradient illumination
A Meka, C Haene, R Pandey, M Zollhöfer, S Fanello, G Fyffe, A Kowdle, ...
ACM Transactions on Graphics (TOG) 38 (4), 1-12, 2019
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
Learning step size controllers for robust neural network training
C Daniel, J Taylor, S Nowozin
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
Bounding performance loss in approximate MDP homomorphisms
J Taylor, D Precup, P Panagaden
Advances in Neural Information Processing Systems 21, 2008
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
Metric regression forests for correspondence estimation
G Pons-Moll, J Taylor, J Shotton, A Hertzmann, A Fitzgibbon
International Journal of Computer Vision 113, 163-175, 2015
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