| Improved Regularization of Convolutional Neural Networks with Cutout T DeVries arXiv preprint arXiv:1708.04552, 2017 | 4384 | 2017 |
| Learning confidence for out-of-distribution detection in neural networks T DeVries, GW Taylor arXiv preprint arXiv:1802.04865, 2018 | 659 | 2018 |
| Dataset augmentation in feature space T DeVries, GW Taylor International Conference on Learning Representations (ICLR) Workshop, 2017 | 576* | 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 | 287 | 2019 |
| ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis EW Teh, T DeVries, GW Taylor European Conference on Computer Vision (ECCV), 2020 | 186 | 2020 |
| Leveraging uncertainty estimates for predicting segmentation quality T DeVries, GW Taylor arXiv preprint arXiv:1807.00502, 2018 | 147 | 2018 |
| 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 | 143 | 2021 |
| Multi-task learning of facial landmarks and expression T DeVries, K Biswaranjan, GW Taylor Canadian Conference on Computer and Robot Vision (CRV), 2014 | 135 | 2014 |
| Skin lesion classification using deep multi-scale convolutional neural networks T DeVries, D Ramachandram arXiv preprint arXiv:1703.01402, 2017 | 66 | 2017 |
| On the evaluation of conditional GANs T DeVries, A Romero, L Pineda, GW Taylor, M Drozdzal arXiv preprint arXiv:1907.08175, 2019 | 44 | 2019 |
| Instance selection for GANs T DeVries, M Drozdzal, GW Taylor Neural Information Processing Systems (NeurIPS), 2020 | 40 | 2020 |
| 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 | 24 | 2020 |
| LesionSeg: semantic segmentation of skin lesions using deep convolutional neural network D Ramachandram, T DeVries arXiv preprint arXiv:1703.03372, 2017 | 11 | 2017 |
| 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 | 9* | 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 |
Graham TaylorUniversity of Guelph and Vector Institute for Artificial Intelligenceuoguelph.ca의 이메일 확인됨
