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 | 1634 | 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 | 441 | 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 | 344 | 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 | 317 | 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 | 162 | 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 | 92 | 2017 |
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 IET Digital Library, 2016 | 85 | 2016 |
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 | 83 | 2020 |
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 | 80 | 2022 |
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 | 72 | 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 | 67 | 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 | 62 | 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 | 54 | 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 | 51 | 2020 |
Atapour-Abarghouei A Breckon TP Jawahar CV Li H Mori G Schindler K GANomaly: semi-supervised anomaly detection via adversarial training S Akcay Computer Vision–ACCV 2019, 2018 | 47 | 2018 |
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 | 44 | 2019 |
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 | 41 | 2022 |
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 | 38 | 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 | 29 | 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 | 29 | 2021 |