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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
39492017
Deconvolutional networks
MD Zeiler, D Krishnan, GW Taylor, R Fergus
Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on …, 2010
22502010
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
16512011
Modeling human motion using binary latent variables
GW Taylor, GE Hinton, S Roweis
Advances in neural information processing systems 19, 2006
10132006
Convolutional learning of spatio-temporal features
GW Taylor, R Fergus, Y LeCun, C Bregler
Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010
8842010
Deep multimodal learning: A survey on recent advances and trends
D Ramachandram, GW Taylor
IEEE signal processing magazine 34 (6), 96-108, 2017
8502017
Learning confidence for out-of-distribution detection in neural networks
T DeVries, GW Taylor
arXiv preprint arXiv:1802.04865, 2018
5992018
The recurrent temporal restricted boltzmann machine
I Sutskever, GE Hinton, GW Taylor
Advances in neural information processing systems 21, 2008
5932008
Factored conditional restricted Boltzmann machines for modeling motion style
GW Taylor, GE Hinton
Proceedings of the 26th annual international conference on machine learning …, 2009
5132009
Dataset augmentation in feature space
T DeVries, GW Taylor
arXiv preprint arXiv:1702.05538, 2017
5062017
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
4152015
Automatic moth detection from trap images for pest management
W Ding, G Taylor
Computers and Electronics in Agriculture 123, 17-28, 2016
3702016
Understanding attention and generalization in graph neural networks
B Knyazev, GW Taylor, M Amer
Advances in neural information processing systems 32, 2019
3162019
Multi-scale deep learning for gesture detection and localization
N Neverova, C Wolf, GW Taylor, F Nebout
Computer Vision-ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and …, 2015
2952015
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
2742018
Learning human pose estimation features with convolutional networks
A Jain, J Tompson, M Andriluka, GW Taylor, C Bregler
arXiv preprint arXiv:1312.7302, 2013
2552013
Deep learning on FPGAs: Past, present, and future
G Lacey, GW Taylor, S Areibi
arXiv preprint arXiv:1602.04283, 2016
2442016
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
2122016
Federated learning and differential privacy for medical image analysis
M Adnan, S Kalra, JC Cresswell, GW Taylor, HR Tizhoosh
Scientific reports 12 (1), 1953, 2022
2052022
Deep learning object detection methods for ecological camera trap data
S Schneider, GW Taylor, S Kremer
2018 15th Conference on computer and robot vision (CRV), 321-328, 2018
1992018
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