| Human action recognition using local two-stream convolution neural network features and support vector machines D Torpey, T Celik arXiv preprint arXiv:2002.09423, 2020 | 7 | 2020 |
| Summarynet: a multi-stage deep learning model for automatic video summarisation Z Jappie, D Torpey, T Celik arXiv preprint arXiv:2002.09424, 2020 | 3 | 2020 |
| MiDaS: a large-scale Minecraft dataset for non-natural image benchmarking D Torpey, M Parkin, J Alter, R Klein, S James Journal of Electronic Imaging 33 (1), 013035, 2024 | 1 | 2024 |
| On the robustness of self-supervised representations for multi-view object classification D Torpey, R Klein Pattern Recognition Letters 161, 82-89, 2022 | 1 | 2022 |
| A Large-scale Evaluation of Pretraining Paradigms for the Detection of Defects in Electroluminescence Solar Cell Images D Torpey, L Pratt, R Klein arXiv preprint arXiv:2402.17611, 2024 | | 2024 |
| DeepSet SimCLR: Self-supervised deep sets for improved pathology representation learning D Torpey, R Klein arXiv preprint arXiv:2402.15598, 2024 | | 2024 |
| Affine transformation estimation improves visual self-supervised learning D Torpey, R Klein arXiv preprint arXiv:2402.09071, 2024 | | 2024 |
| Explicit homography estimation improves contrastive self-supervised learning D Torpey, R Klein arXiv preprint arXiv:2101.04713, 2021 | | 2021 |
| CNN FEATURES WITH SVMS D TORPEY SCHOOL OF COMPUTER SCIENCE AND APPLIED MATHEMATICS UNIVERSITY OF THE …, 0 | | |
| Human action recognition using local two-stream CNN features with SVMs D Torpey | | |
Richard KleinAssociate Professor, School of Computer Science and Applied Mathematics, University of theVerified email at wits.ac.za
