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Graham Taylor
Graham Taylor
University of Guelph and Vector Institute for Artificial Intelligence
Verifisert e-postadresse på uoguelph.ca - Startside
Tittel
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Improved regularization of convolutional neural networks with Cutout
T DeVries, GW Taylor
arXiv preprint arXiv:1708.04552, 2017
47682017
Deconvolutional networks
MD Zeiler, D Krishnan, GW Taylor, R Fergus
Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on …, 2010
23872010
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
17162011
Modeling human motion using binary latent variables
GW Taylor, GE Hinton, S Roweis
Advances in neural information processing systems 19, 2006
10452006
Deep multimodal learning: A survey on recent advances and trends
D Ramachandram, GW Taylor
IEEE signal processing magazine 34 (6), 96-108, 2017
10432017
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
9122010
Learning confidence for out-of-distribution detection in neural networks
T DeVries, GW Taylor
arXiv preprint arXiv:1802.04865, 2018
6932018
The recurrent temporal restricted boltzmann machine
I Sutskever, GE Hinton, GW Taylor
Advances in neural information processing systems 21, 2008
6142008
Dataset augmentation in feature space
T DeVries, GW Taylor
arXiv preprint arXiv:1702.05538, 2017
5682017
Factored conditional restricted Boltzmann machines for modeling motion style
GW Taylor, GE Hinton
Proceedings of the 26th annual international conference on machine learning …, 2009
5252009
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
4522015
Automatic moth detection from trap images for pest management
W Ding, G Taylor
Computers and Electronics in Agriculture 123, 17-28, 2016
4132016
Understanding attention and generalization in graph neural networks
B Knyazev, GW Taylor, M Amer
Advances in neural information processing systems 32, 2019
4052019
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
3372018
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
3362022
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
3032014
Learning human pose estimation features with convolutional networks
A Jain, J Tompson, M Andriluka, GW Taylor, C Bregler
arXiv preprint arXiv:1312.7302, 2013
2642013
Deep learning on FPGAs: Past, present, and future
G Lacey, GW Taylor, S Areibi
arXiv preprint arXiv:1602.04283, 2016
2562016
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
2362018
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
2312016
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Artikler 1–20