On using feature descriptors as visual words for object detection within X-ray baggage security screening. - Mikolaj E. Kundegorski; Samet Akcay; Michael Devereux; André Mouton; Toby P. Breckon (ICDP, 2016)

Transfer learning using convolutional neural networks for object classification within X-ray baggage security imagery. - Samet Akcay; Mikolaj E. Kundegorski; Michael Devereux; Toby P. Breckon (ICIP, 2016)

An evaluation of region based object detection strategies within X-ray baggage security imagery. - Samet Akcay; Toby P. Breckon (ICIP, 2017)

GANomaly: Semi-supervised Anomaly Detection via Adversarial Training. - Samet Akcay; Amir Atapour Abarghouei; Toby P. Breckon (ACCV (3), 2018)

On the Impact of Varying Region Proposal Strategies for Raindrop Detection and Classification Using Convolutional Neural Networks. - Tiancheng Guo; Samet Akcay; Philip A. Adey; Toby P. Breckon (ICIP, 2018)

On the Impact of Illumination-Invariant Image Pre-transformation for Contemporary Automotive Semantic Scene Understanding. - Naif Alshammari; Samet Akcay; Toby P. Breckon (Intelligent Vehicles Symposium, 2018)

Using Deep Convolutional Neural Network Architectures for Object Classification and Detection Within X-Ray Baggage Security Imagery. - Samet Akcay; Mikolaj E. Kundegorski; Chris G. Willcocks; Toby P. Breckon (IEEE Trans. Inf. Forensics Secur., 2018)

On the Impact of Object and Sub-Component Level Segmentation Strategies for Supervised Anomaly Detection within X-Ray Security Imagery. - Neelanjan Bhowmik; Yona Falinie A. Gaus; Samet Akçay; Jack W. Barker; Toby P. Breckon (ICMLA, 2019)

Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery. - Yona Falinie A. Gaus; Neelanjan Bhowmik; Samet Akcay; Toby P. Breckon (ICMLA, 2019)

Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection. - Samet Akçay; Amir Atapour Abarghouei; Toby P. Breckon (IJCNN, 2019)

Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery. - Yona Falinie A. Gaus; Neelanjan Bhowmik; Samet Akçay; Paolo M. Guillén-Garcia; Jack W. Barker; Toby P. Breckon (IJCNN, 2019)

Multi-Task Learning for Automotive Foggy Scene Understanding via Domain Adaptation to an Illumination-Invariant Representation. - Naif Alshammari; Samet Akçay; Toby P. Breckon (CoRR, 2019)

Deep CMST Framework for the Autonomous Recognition of Heavily Occluded and Cluttered Baggage Items from Multivendor Security Radiographs. - Taimur Hassan; Salman H. Khan 001; Samet Akcay; Mohammed Bennamoun; Naoufel Werghi (CoRR, 2019)

Online Deep Reinforcement Learning for Autonomous UAV Navigation and Exploration of Outdoor Environments. - Bruna G. Maciel-Pearson; Letizia Marchegiani; Samet Akcay; Amir Atapour Abarghouei; James Garforth; Toby P. Breckon (CoRR, 2019)

Generative adversarial framework for depth filling via Wasserstein metric, cosine transform and domain transfer. - Amir Atapour Abarghouei; Samet Akcay; Grégoire Payen de La Garanderie; Toby P. Breckon (Pattern Recognit., 2019)

Multi-Task Regression-Based Learning for Autonomous Unmanned Aerial Vehicle Flight Control Within Unstructured Outdoor Environments. - Bruna G. Maciel-Pearson; Samet Akçay; Amir Atapour Abarghouei; Christopher J. Holder; Toby P. Breckon (IEEE Robotics Autom. Lett., 2019)

Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments [dataset]. - Bruna G. Maciel-Pearson; Samet Akçay; Amir Atapour-Abarghouei; Christopher J. Holder; Toby P. Breckon (Zenodo, 2019)

Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation. - Seyma Yucer; Samet Akçay; Noura Al Moubayed; Toby P. Breckon (CVPR Workshops, 2020)

Detecting Prohibited Items in X-Ray Images: a Contour Proposal Learning Approach. - Taimur Hassan; Meriem Bettayeb; Samet Akçay; Salman H. Khan 001; Mohammed Bennamoun; Naoufel Werghi (ICIP, 2020)

Cascaded Structure Tensor Framework for Robust Identification of Heavily Occluded Baggage Items from X-ray Scans. - Taimur Hassan; Samet Akcay; Mohammed Bennamoun; Salman H. Khan 001; Naoufel Werghi (CoRR, 2020)

Trainable Structure Tensors for Autonomous Baggage Threat Detection Under Extreme Occlusion. - Taimur Hassan; Samet Akcay; Mohammed Bennamoun; Salman H. Khan 001; Naoufel Werghi (CoRR, 2020)

Multi-Model Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation. - Naif Alshammari; Samet Akcay; Toby P. Breckon (CoRR, 2020)

Meta-Transfer Learning Driven Tensor-Shot Detector for the Autonomous Localization and Recognition of Concealed Baggage Threats. - Taimur Hassan; Muhammad Shafay; Samet Akçay; Salman H. Khan 001; Mohammed Bennamoun; Ernesto Damiani; Naoufel Werghi (Sensors, 2020)

Towards real-time anomaly detection within X-ray security imagery: self-supervised adversarial training approach. - Samet Akcay (2020)

Autoencoders Without Reconstruction for Textural Anomaly Detection. - Philip A. Adey; Samet Akçay; Magnus Bordewich; Toby P. Breckon (IJCNN, 2021)

Competitive Simplicity for Multi-Task Learning for Real-Time Foggy Scene Understanding via Domain Adaptation. - Naif Alshammari; Samet Akcay; Toby P. Breckon (IV, 2021)

Multi-Modal Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation. - Naif Alshammari; Samet Akcay; Toby P. Breckon (IV, 2021)

Anomalib: A Deep Learning Library for Anomaly Detection. - Samet Akcay; Dick Ameln; Ashwin Vaidya; Barath Lakshmanan; Nilesh A. Ahuja; Ergin Utku Genc (ICIP, 2022)

Tensor pooling-driven instance segmentation framework for baggage threat recognition. - Taimur Hassan; Samet Akçay; Mohammed Bennamoun; Salman H. Khan 001; Naoufel Werghi (Neural Comput. Appl., 2022)

Towards automatic threat detection: A survey of advances of deep learning within X-ray security imaging. - Samet Akcay; Toby P. Breckon (Pattern Recognit., 2022)

A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items. - Taimur Hassan; Samet Akcay; Mohammed Bennamoun; Salman H. Khan 001; Naoufel Werghi (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Incremental Instance Segmentation for Cluttered Baggage Threat Detection. - Ammara Nasim; Divya Velayudhan; Abdelfatah Hassan Ahmed; Taimur Hassan; Samet Akcay; Muhammad Usman Akram; Naoufel Werghi (CIVEMSA, 2023)

Unsupervised anomaly instance segmentation for baggage threat recognition. - Taimur Hassan; Samet Akçay; Mohammed Bennamoun; Salman Khan 001; Naoufel Werghi (J. Ambient Intell. Humaniz. Comput., 2023)

Cascaded structure tensor for robust baggage threat detection. - Taimur Hassan; Samet Akcay; Bilal Hassan; Mohammed Bennamoun; Salman H. Khan 001; Jorge Dias 001; Naoufel Werghi (Neural Comput. Appl., 2023)

AUPIMO: Redefining Anomaly Localization Benchmarks with High Speed and Low Tolerance. - João P. C. Bertoldo; Dick Ameln; Ashwin Vaidya; Samet Akcay (BMVC, 2024)

Divide and Conquer: High-Resolution Industrial Anomaly Detection via Memory Efficient Tiled Ensemble. - Blaz Rolih; Dick Ameln; Ashwin Vaidya; Samet Akcay (CVPR Workshops, 2024)

AUPIMO: Redefining Visual Anomaly Detection Benchmarks with High Speed and Low Tolerance. - João P. C. Bertoldo; Dick Ameln; Ashwin Vaidya; Samet Akçay (CoRR, 2024)

FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection. - Brian K. S. Isaac-Medina; Mauricio Che; Yona Falinie Binti A. Gaus; Samet Akcay; Toby P. Breckon (CoRR, 2024)

Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection. - Aimira Baitieva; Yacine Bouaouni; Alexandre Briot; Dick Ameln; Souhaiel Khalfaoui; Samet Akcay (CVPR Workshops, 2025)

A Vision Language Correlation Framework for Screening Disabled Retina. - Taimur Hassan; Hina Raja; Kais Belwafi; Samet Akcay; Mohamed Jleli; Bessem Samet; Naoufel Werghi; Jawad Yousaf; Mohammed Ghazal (IEEE J. Biomed. Health Informatics, 2025)

Average Calibration Losses for Reliable Uncertainty in Medical Image Segmentation. - Theodore Barfoot; Luis C. García-Peraza-Herrera; Samet Akcay; Ben Glocker; Tom Vercauteren (CoRR, 2025)