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Samet Akcay
Samet Akcay
AI Research Engineer/Scientist at Intel Corporation
Verified email at intel.com - Homepage
Title
Cited by
Cited by
Year
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
16282019
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
4402019
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
3432018
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
3172016
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
1622022
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
922017
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
852016
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
832020
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
802022
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
722019
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
672020
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
622019
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
542020
Trainable structure tensors for autonomous baggage threat detection under extreme occlusion
T Hassan, N Werghi
Proceedings of the Asian conference on computer vision, 2020
512020
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
472018
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
432019
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
412022
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
382019
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
292023
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
292021
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