| Ganomaly: Semi-supervised anomaly detection via adversarial training S Akcay, A Atapour-Abarghouei, TP Breckon Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 1602 | 2019 |
| Fundamentals of Digital Image Processing: A practical approach with examples in Matlab C Solomon, T Breckon John Wiley & Sons, 2011 | 1501 | 2011 |
| Skip-ganomaly: Skip connected and adversarially trained encoder-decoder anomaly detection S Akçay, A Atapour-Abarghouei, TP Breckon 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 435 | 2019 |
| Using deep convolutional neural network architectures for object classification and detection within x-ray baggage security imagery S Akcay, ME Kundegorski, CG Willcocks, TP Breckon IEEE transactions on information forensics and security 13 (9), 2203-2215, 2018 | 341 | 2018 |
| Transfer learning using convolutional neural networks for object classification within X-ray baggage security imagery S Akçay, ME Kundegorski, M Devereux, TP Breckon 2016 IEEE International Conference on Image Processing (ICIP), 1057-1061, 2016 | 316 | 2016 |
| Real-time monocular depth estimation using synthetic data with domain adaptation via image style transfer A Atapour-Abarghouei, TP Breckon Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 305 | 2018 |
| Real-time people and vehicle detection from UAV imagery A Gaszczak, TP Breckon, J Han Intelligent robots and computer vision XXVIII: algorithms and techniques …, 2011 | 261 | 2011 |
| Dictionary of computer vision and image processing RB Fisher, TP Breckon, K Dawson-Howe, A Fitzgibbon, C Robertson, ... John Wiley & Sons, 2013 | 222 | 2013 |
| Unsupervised domain adaptation via structured prediction based selective pseudo-labeling Q Wang, T Breckon Proceedings of the AAAI conference on artificial intelligence 34 (04), 6243-6250, 2020 | 204 | 2020 |
| Object Recognition using 3D SIFT in Complex CT Volumes. GT Flitton, TP Breckon, NM Bouallagu BMVC 1, 1-12, 2010 | 199 | 2010 |
| Style augmentation: data augmentation via style randomization. PTG Jackson, AA Abarghouei, S Bonner, TP Breckon, B Obara CVPR workshops 6, 10-11, 2019 | 195 | 2019 |
| Improving feature-based object recognition for X-ray baggage security screening using primed visualwords D Turcsany, A Mouton, TP Breckon 2013 IEEE International conference on industrial technology (ICIT), 1140-1145, 2013 | 180 | 2013 |
| Towards automatic threat detection: A survey of advances of deep learning within X-ray security imaging S Akcay, T Breckon Pattern Recognition 122, 108245, 2022 | 161 | 2022 |
| Experimentally defined convolutional neural network architecture variants for non-temporal real-time fire detection AJ Dunnings, TP Breckon 2018 25th IEEE international conference on image processing (ICIP), 1558-1562, 2018 | 140 | 2018 |
| A comparison of 3D interest point descriptors with application to airport baggage object detection in complex CT imagery G Flitton, TP Breckon, N Megherbi Pattern Recognition 46 (9), 2420-2436, 2013 | 132 | 2013 |
| Unit-ddpm: Unpaired image translation with denoising diffusion probabilistic models H Sasaki, CG Willcocks, TP Breckon arXiv preprint arXiv:2104.05358, 2021 | 129 | 2021 |
| Simulating brain signals: Creating synthetic eeg data via neural-based generative models for improved ssvep classification NKN Aznan, A Atapour-Abarghouei, S Bonner, JD Connolly, ... 2019 International joint conference on neural networks (IJCNN), 1-8, 2019 | 113 | 2019 |
| Automatic road environment classification I Tang, TP Breckon IEEE Transactions on Intelligent Transportation Systems 12 (2), 476-484, 2010 | 113 | 2010 |
| Automatic real-time road marking recognition using a feature driven approach A Kheyrollahi, TP Breckon Machine Vision and Applications 23, 123-133, 2012 | 106 | 2012 |
| Noise robust image edge detection based upon the automatic anisotropic Gaussian kernels WC Zhang, YL Zhao, TP Breckon, L Chen Pattern Recognition 63, 193-205, 2017 | 93 | 2017 |
Amir Atapour-AbarghoueiDepartment of Computer Science, Durham University在 durham.ac.uk 的电子邮件经过验证
