| Unmanned aerial vehicle visual detection and tracking using deep neural networks: A performance benchmark BKS Isaac-Medina, M Poyser, D Organisciak, CG Willcocks, TP Breckon, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 75 | 2021 |
| On the impact of lossy image and video compression on the performance of deep convolutional neural network architectures M Poyser, A Atapour-Abarghouei, TP Breckon 2020 25th international conference on pattern recognition (ICPR), 2830-2837, 2021 | 37 | 2021 |
| Neural architecture search: A contemporary literature review for computer vision applications M Poyser, TP Breckon Pattern Recognition 147, 110052, 2024 | 10 | 2024 |
| Does lossy image compression affect racial bias within face recognition? S Yucer, M Poyser, N Al Moubayed, TP Breckon 2022 IEEE International Joint Conference on Biometrics (IJCB), 1-10, 2022 | 4 | 2022 |
| Uav-reid: A benchmark on unmanned aerial vehicle re-identification in video imagery D Organisciak, M Poyser, A Alsehaim, S Hu, BKS Isaac-Medina, ... arXiv preprint arXiv:2104.06219, 2021 | 4 | 2021 |
| Uav-reid: A benchmark on unmanned aerial vehicle re-identification D Organisciak, BKS Isaac-Medina, M Poyser, S Hu, TP Breckon, ... CoRR, 2021 | 1 | 2021 |
| Minimizing Computational Resources for Deep Machine Learning: A Compression and Neural Architecture Search Perspective for Image Classification and Object Detection M POYSER Durham University, 2023 | | 2023 |
