Samet Akcay
Samet Akcay
Deep Learning Researcher at COSMONiO | PhD Student - Department of Computer Science, Durham
Verified email at durham.ac.uk - Homepage
TitleCited byYear
Transfer learning using convolutional neural networks for object classification within x-ray baggage security imagery
S Akšay, ME Kundegorski, M Devereux, TP Breckon
2016 IEEE International Conference on Image Processing (ICIP), 1057-1061, 2016
612016
Ganomaly: Semi-supervised anomaly detection via adversarial training
S Akcay, A Atapour-Abarghouei, TP Breckon
Asian Conference on Computer Vision, 622-637, 2018
522018
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
472018
On using feature descriptors as visual words for object detection within x-ray baggage security screening
ME Kundegorski, S Akšay, M Devereux, A Mouton, TP Breckon
IET Digital Library, 2016
162016
Skip-ganomaly: Skip connected and adversarially trained encoder-decoder anomaly detection
S Akšay, A Atapour-Abarghouei, TP Breckon
arXiv preprint arXiv:1901.08954, 2019
72019
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
72017
Real-time classification of vehicles by type within infrared imagery
ME Kundegorski, S Akšay, GP de La Garanderie, TP Breckon
Optics and Photonics for Counterterrorism, Crime Fighting, and Defence XIIá…, 2016
52016
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
42019
On the Impact of Illumination-Invariant Image Pre-transformation for Contemporary Automotive Semantic Scene Understanding
N Alshammari, S Akcay, TP Breckon
2018 IEEE Intelligent Vehicles Symposium (IV), 1027-1032, 2018
42018
Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery
YFA Gaus, N Bhowmik, S Akšay, PM Guillen-Garcia, JW Barker, ...
arXiv preprint arXiv:1904.05304, 2019
12019
Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task
A Bhowmik, S Gumhold, C Rother, E Brachmann
arXiv preprint arXiv:1912.00623, 2019
2019
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
arXiv preprint arXiv:1911.08966, 2019
2019
Multi-Task Learning for Automotive Foggy Scene Understanding via Domain Adaptation to an Illumination-Invariant Representation
N Alshammari, S Akšay, TP Breckon
arXiv preprint arXiv:1909.07697, 2019
2019
Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments
BG Maciel-Pearson, S Akšay, A Atapour-Abarghouei, C Holder, ...
IEEE Robotics and Automation Letters 4 (4), 4116-4123, 2019
2019
On the Impact of Varying Region Proposal Strategies for Raindrop Detection and Classification Using Convolutional Neural Networks
T Guo, S Akcay, PA Adey, TP Breckon
2018 25th IEEE International Conference on Image Processing (ICIP), 3413-3417, 2018
2018
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