Samet Akçay

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Anomaly Detection

Detect Anomalies

Domain Adaptation

Top Venues

IEEE Robotics Autom. Lett.

Publications

João P. C. Bertoldo, Dick Ameln, Ashwin Vaidya, Samet Akçay
AUPIMO: Redefining Visual Anomaly Detection Benchmarks with High Speed and Low Tolerance. CoRR (2024)
Blaz Rolih, Samet Akçay, Dick Ameln, Ashwin Vaidya
Divide and Conquer: High-Resolution Industrial Anomaly Detection via Memory Efficient Tiled Ensemble. CoRR (2024)
Taimur Hassan, Samet Akçay, Mohammed Bennamoun, Salman Khan, Naoufel Werghi
Unsupervised anomaly instance segmentation for baggage threat recognition. J. Ambient Intell. Humaniz. Comput. 14 (3) (2023)
Taimur Hassan, Samet Akçay, Mohammed Bennamoun, Salman H. Khan, Naoufel Werghi
Tensor pooling-driven instance segmentation framework for baggage threat recognition. Neural Comput. Appl. 34 (2) (2022)
Philip A. Adey, Samet Akçay, Magnus Bordewich, Toby P. Breckon
Autoencoders Without Reconstruction for Textural Anomaly Detection. IJCNN (2021)
Taimur Hassan, Meriem Bettayeb, Samet Akçay, Salman H. Khan, Mohammed Bennamoun, Naoufel Werghi
Detecting Prohibited Items in X-Ray Images: a Contour Proposal Learning Approach. ICIP (2020)
Taimur Hassan, Muhammad Shafay, Samet Akçay, Salman H. Khan, Mohammed Bennamoun, Ernesto Damiani, Naoufel Werghi
Meta-Transfer Learning Driven Tensor-Shot Detector for the Autonomous Localization and Recognition of Concealed Baggage Threats. Sensors 20 (22) (2020)
Seyma Yucer, Samet Akçay, Noura Al Moubayed, Toby P. Breckon
Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation. CoRR (2020)
Seyma Yucer, Samet Akçay, Noura Al Moubayed, Toby P. Breckon
Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation. CVPR Workshops (2020)
Naif Alshammari, Samet Akçay, Toby P. Breckon
Multi-Task Learning for Automotive Foggy Scene Understanding via Domain Adaptation to an Illumination-Invariant Representation. CoRR (2019)
Neelanjan Bhowmik, Yona Falinie A. Gaus, Samet Akçay, Jack W. Barker, Toby P. Breckon
On the Impact of Object and Sub-Component Level Segmentation Strategies for Supervised Anomaly Detection within X-Ray Security Imagery. ICMLA (2019)
Bruna G. Maciel-Pearson, Samet Akçay, Amir Atapour Abarghouei, Christopher J. Holder, Toby P. Breckon
Multi-Task Regression-Based Learning for Autonomous Unmanned Aerial Vehicle Flight Control Within Unstructured Outdoor Environments. IEEE Robotics Autom. Lett. 4 (4) (2019)
Samet Akçay, Amir Atapour Abarghouei, Toby P. Breckon
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection. CoRR (2019)
Yona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akçay, Paolo M. Guillén-Garcia, Jack W. Barker, Toby P. Breckon
Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery. IJCNN (2019)
Yona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akçay, Paolo M. Guillén-Garcia, Jack W. Barker, Toby P. Breckon
Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery. CoRR (2019)
Samet Akçay, Amir Atapour Abarghouei, Toby P. Breckon
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection. IJCNN (2019)