Graham Taylor
Graham Taylor
University of Guelph and Vector Institute for Artificial Intelligence (Currently at Google Brain)
Verified email at uoguelph.ca - Homepage
TitleCited byYear
Deconvolutional networks
MD Zeiler, D Krishnan, GW Taylor, R Fergus
IEEE, 2010
7612010
Modeling human motion using binary latent variables
GW Taylor, GE Hinton, ST Roweis
Advances in neural information processing systems, 1345-1352, 2007
6332007
Adaptive deconvolutional networks for mid and high level feature learning
MD Zeiler, GW Taylor, R Fergus
Computer Vision (ICCV), 2011 IEEE International Conference on, 2018-2025, 2011
6032011
Convolutional learning of spatio-temporal features
GW Taylor, R Fergus, Y LeCun, C Bregler
European conference on computer vision, 140-153, 2010
4812010
Factored conditional restricted Boltzmann machines for modeling motion style
GW Taylor, GE Hinton
Proceedings of the 26th annual international conference on machine learning …, 2009
3162009
The recurrent temporal restricted boltzmann machine
I Sutskever, GE Hinton, GW Taylor
Advances in neural information processing systems, 1601-1608, 2009
3142009
Multi-scale deep learning for gesture detection and localization
N Neverova, C Wolf, GW Taylor, F Nebout
Workshop at the European conference on computer vision, 474-490, 2014
1322014
Dynamical binary latent variable models for 3d human pose tracking
GW Taylor, L Sigal, DJ Fleet, GE Hinton
Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, 631-638, 2010
1262010
Learning human pose estimation features with convolutional networks
A Jain, J Tompson, M Andriluka, GW Taylor, C Bregler
arXiv preprint arXiv:1312.7302, 2013
1212013
Moddrop: adaptive multi-modal gesture recognition
N Neverova, C Wolf, G Taylor, F Nebout
IEEE Transactions on Pattern Analysis and Machine Intelligence 38 (8), 1692-1706, 2016
1082016
Two distributed-state models for generating high-dimensional time series
GW Taylor, GE Hinton, ST Roweis
Journal of Machine Learning Research 12 (Mar), 1025-1068, 2011
982011
Improved regularization of convolutional neural networks with cutout
T DeVries, GW Taylor
arXiv preprint arXiv:1708.04552, 2017
772017
Deep learning on fpgas: Past, present, and future
G Lacey, GW Taylor, S Areibi
arXiv preprint arXiv:1602.04283, 2016
582016
Learning human identity from motion patterns
N Neverova, C Wolf, G Lacey, L Fridman, D Chandra, B Barbello, G Taylor
IEEE Access 4, 1810-1820, 2016
552016
A multi-scale approach to gesture detection and recognition
N Neverova, C Wolf, G Paci, G Sommavilla, G Taylor, F Nebout
Proceedings of the IEEE International Conference on Computer Vision …, 2013
462013
Dataset augmentation in feature space
T DeVries, GW Taylor
arXiv preprint arXiv:1702.05538, 2017
442017
Automatic moth detection from trap images for pest management
W Ding, G Taylor
Computers and Electronics in Agriculture 123, 17-28, 2016
412016
Learning invariance through imitation
GW Taylor, I Spiro, C Bregler, R Fergus
Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on …, 2011
412011
Prediction of flow duration curves for ungauged basins
M Atieh, G Taylor, AMA Sattar, B Gharabaghi
Journal of hydrology 545, 383-394, 2017
37*2017
Hands by hand: Crowd-sourced motion tracking for gesture annotation
I Spiro, G Taylor, G Williams, C Bregler
Computer Vision and Pattern Recognition Workshops (CVPRW), 2010 IEEE …, 2010
342010
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