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Terrance DeVries
Terrance DeVries
Luma AI
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
34802017
Learning confidence for out-of-distribution detection in neural networks
T DeVries, GW Taylor
arXiv preprint arXiv:1802.04865, 2018
5402018
Dataset augmentation in feature space
T DeVries, GW Taylor
International Conference on Learning Representations (ICLR) Workshop, 2017
477*2017
Does object recognition work for everyone?
T DeVries, I Misra, C Wang, L van der Maaten
Computer Vision and Pattern Recognition (CVPR) - Workshop on Computer Vision …, 2019
2222019
ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis
EW Teh, T DeVries, GW Taylor
European Conference on Computer Vision (ECCV), 2020
1462020
Multi-task learning of facial landmarks and expression
T DeVries, K Biswaranjan, GW Taylor
Canadian Conference on Computer and Robot Vision (CRV), 2014
1262014
Leveraging uncertainty estimates for predicting segmentation quality
T DeVries, GW Taylor
arXiv preprint arXiv:1807.00502, 2018
1152018
Unconstrained Scene Generation with Locally Conditioned Radiance Fields
T DeVries, MA Bautista, N Srivastava, GW Taylor, JM Susskind
International Conference on Computer Vision (ICCV), 2021
1062021
Skin lesion classification using deep multi-scale convolutional neural networks
T DeVries, D Ramachandram
arXiv preprint arXiv:1703.01402, 2017
532017
Instance selection for GANs
T DeVries, M Drozdzal, GW Taylor
Neural Information Processing Systems (NeurIPS), 2020
352020
On the evaluation of conditional GANs
T DeVries, A Romero, L Pineda, GW Taylor, M Drozdzal
arXiv preprint arXiv:1907.08175, 2019
352019
Building LEGO Using Deep Generative Models of Graphs
R Thompson, E Ghalebi, T DeVries, GW Taylor
Neural Information Processing Systems (NeurIPS) - Workshop on Machine …, 2020
132020
LesionSeg: semantic segmentation of skin lesions using deep convolutional neural network
D Ramachandram, T DeVries
arXiv preprint arXiv:1703.03372, 2017
102017
The GIST and RIST of Iterative Self-Training for Semi-Supervised Segmentation
E Wern Teh, T DeVries, B Duke, R Jiang, P Aarabi, GW Taylor
arXiv e-prints, arXiv: 2103.17105, 2021
3*2021
Generative scene networks
MAB MARTIN, N Srivastava, JM Susskind, T Devries
US Patent App. 17/689,851, 2022
2022
Towards High Fidelity Generation of Synthetic 3D Worlds
T DeVries
University of Guelph, 2021
2021
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Articles 1–16