| 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 | 1937 | 2019 |
| 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 | 526 | 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 | 370 | 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 | 338 | 2016 |
| Towards Automatic Threat Detection: A Survey of Advances of Deep Learning within X-ray Security Imaging S Akçay, T Breckon Pattern Recognition 122, 108245, 2022 | 194 | 2022 |
| Anomalib: A Deep Learning Library for Anomaly Detection S Akcay, D Ameln, A Vaidya, B Lakshmanan, N Ahuja, U Genc International Conference on Image Processing (ICIP), 2022 | 122 | 2022 |
| An Evaluation Of Region Based Object Detection Strategies Within X-ray Baggage Security Imagery S Akcay, TP Breckon IEEE International Conference on Image Processing (ICIP), 2017, 2017 | 105 | 2017 |
| Exploring racial bias within face recognition via per-subject adversarially-enabled data augmentation S Yucer, S Akçay, N Al-Moubayed, TP Breckon Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 97 | 2020 |
| On using feature descriptors as visual words for object detection within X-ray baggage security screening ME Kundegorski, S Akçay, M Devereux, A Mouton, TP Breckon 7th International conference on imaging for crime detection and prevention …, 2016 | 94 | 2016 |
| Evaluation of a dual convolutional neural network architecture for object-wise anomaly detection in cluttered X-ray security imagery YFA Gaus, N Bhowmik, S Akçay, PM Guillen-Garcia, JW Barker, ... 2019 international joint conference on neural networks (IJCNN), 1-8, 2019 | 79 | 2019 |
| Detecting prohibited items in X-ray images: A contour proposal learning approach T Hassan, M Bettayeb, S Akçay, S Khan, M Bennamoun, N Werghi 2020 IEEE International Conference on Image Processing (ICIP), 2016-2020, 2020 | 76 | 2020 |
| Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery YFA Gaus, N Bhowmik, S Akcay, TP Breckon IEEE International Conference On Machine Learning And Applications (ICMLA …, 2019 | 71 | 2019 |
| Meta-transfer learning driven tensor-shot detector for the autonomous localization and recognition of concealed baggage threats T Hassan, M Shafay, S Akçay, S Khan, M Bennamoun, E Damiani, ... Sensors 20 (22), 6450, 2020 | 60 | 2020 |
| Trainable structure tensors for autonomous baggage threat detection under extreme occlusion T Hassan, N Werghi Proceedings of the Asian conference on computer vision, 2020 | 60 | 2020 |
| Tensor pooling-driven instance segmentation framework for baggage threat recognition T Hassan, S Akcay, M Bennamoun, S Khan, N Werghi Neural Computing and Applications, 1-12, 2022 | 46 | 2022 |
| Multi-task regression-based learning for autonomous unmanned aerial vehicle flight control within unstructured outdoor environments BG Maciel-Pearson, S Akçay, A Atapour-Abarghouei, C Holder, ... IEEE Robotics and Automation Letters 4 (4), 4116-4123, 2019 | 45 | 2019 |
| Online deep reinforcement learning for autonomous UAV navigation and exploration of outdoor environments BG Maciel-Pearson, L Marchegiani, S Akcay, A Atapour-Abarghouei, ... arXiv preprint arXiv:1912.05684, 2019 | 39 | 2019 |
| Unsupervised anomaly instance segmentation for baggage threat recognition T Hassan, S Akçay, M Bennamoun, S Khan, N Werghi Journal of Ambient Intelligence and Humanized Computing, 1-12, 2023 | 35 | 2023 |
| A novel incremental learning driven instance segmentation framework to recognize highly cluttered instances of the contraband items T Hassan, S Akcay, M Bennamoun, S Khan, N Werghi IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (11), 6937-6951, 2021 | 34 | 2021 |
| Generative adversarial framework for depth filling via wasserstein metric, cosine transform and domain transfer A Atapour-Abarghouei, S Akcay, GP de La Garanderie, TP Breckon Pattern Recognition 91, 232-244, 2019 | 29 | 2019 |
Toby P BreckonEngineering & Computer Science, Durham University, UKVerificeret mail på durham.ac.uk