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Graham Taylor
Graham Taylor
University of Guelph and Vector Institute for Artificial Intelligence
Verified email at uoguelph.ca - Homepage
Title
Cited by
Cited by
Year
Improved regularization of convolutional neural networks with cutout
T DeVries, GW Taylor
arXiv preprint arXiv:1708.04552, 2017
23112017
Deconvolutional networks
MD Zeiler, D Krishnan, GW Taylor, R Fergus
Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on …, 2010
18482010
Adaptive deconvolutional networks for mid and high level feature learning
MD Zeiler, GW Taylor, R Fergus
2011 international conference on computer vision, 2018-2025, 2011
14522011
Modeling human motion using binary latent variables
GW Taylor, GE Hinton, S Roweis
Advances in neural information processing systems 19, 2006
9322006
Convolutional learning of spatio-temporal features
GW Taylor, R Fergus, Y LeCun, C Bregler
European conference on computer vision, 140-153, 2010
8242010
The recurrent temporal restricted boltzmann machine
I Sutskever, GE Hinton, GW Taylor
Advances in neural information processing systems 21, 2008
5422008
Factored conditional restricted Boltzmann machines for modeling motion style
GW Taylor, GE Hinton
Proceedings of the 26th annual international conference on machine learning …, 2009
4582009
Deep multimodal learning: A survey on recent advances and trends
D Ramachandram, GW Taylor
IEEE signal processing magazine 34 (6), 96-108, 2017
4552017
Learning confidence for out-of-distribution detection in neural networks
T DeVries, GW Taylor
arXiv preprint arXiv:1802.04865, 2018
4062018
Dataset augmentation in feature space
T DeVries, GW Taylor
arXiv preprint arXiv:1702.05538, 2017
3532017
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, 2015
3282015
Automatic moth detection from trap images for pest management
W Ding, G Taylor
Computers and Electronics in Agriculture 123, 17-28, 2016
2802016
Multi-scale deep learning for gesture detection and localization
N Neverova, C Wolf, GW Taylor, F Nebout
European conference on computer vision, 474-490, 2014
2642014
Learning human pose estimation features with convolutional networks
A Jain, J Tompson, M Andriluka, GW Taylor, C Bregler
arXiv preprint arXiv:1312.7302, 2013
2232013
Deep learning on FPGAs: Past, present, and future
G Lacey, GW Taylor, S Areibi
arXiv preprint arXiv:1602.04283, 2016
2032016
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
1882016
Dynamical binary latent variable models for 3d human pose tracking
GW Taylor, L Sigal, DJ Fleet, GE Hinton
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
1792010
Understanding attention and generalization in graph neural networks
B Knyazev, GW Taylor, M Amer
Advances in neural information processing systems 32, 2019
1602019
Forecasting air quality time series using deep learning
BS Freeman, G Taylor, B Gharabaghi, J Thé
Journal of the Air & Waste Management Association 68 (8), 866-886, 2018
1542018
Two Distributed-State Models For Generating High-Dimensional Time Series.
GW Taylor, GE Hinton, ST Roweis
Journal of Machine Learning Research 12 (3), 2011
1462011
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