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2020 – today
- 2024
[c18]Blaz Rolih, Dick Ameln, Ashwin Vaidya, Samet Akcay:
Divide and Conquer: High-Resolution Industrial Anomaly Detection via Memory Efficient Tiled Ensemble. CVPR Workshops 2024: 3866-3875- [i21]João P. C. Bertoldo, Dick Ameln
, Ashwin Vaidya, Samet Akçay:
AUPIMO: Redefining Visual Anomaly Detection Benchmarks with High Speed and Low Tolerance. CoRR abs/2401.01984 (2024) - [i20]Blaz Rolih, Samet Akçay, Dick Ameln, Ashwin Vaidya:
Divide and Conquer: High-Resolution Industrial Anomaly Detection via Memory Efficient Tiled Ensemble. CoRR abs/2403.04932 (2024) - 2023
- [j9]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): 1607-1618 (2023) - [j8]Taimur Hassan, Samet Akcay, Bilal Hassan, Mohammed Bennamoun, Salman H. Khan, Jorge Dias, Naoufel Werghi:
Cascaded structure tensor for robust baggage threat detection. Neural Comput. Appl. 35(15): 11269-11285 (2023) - [c17]Ammara Nasim, Divya Velayudhan, Abdelfatah Hassan Ahmed, Taimur Hassan, Samet Akcay, Muhammad Usman Akram, Naoufel Werghi:
Incremental Instance Segmentation for Cluttered Baggage Threat Detection. CIVEMSA 2023: 1-6 - 2022
- [j7]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): 1239-1250 (2022) - [j6]Samet Akcay, Toby P. Breckon:
Towards automatic threat detection: A survey of advances of deep learning within X-ray security imaging. Pattern Recognit. 122: 108245 (2022) - [j5]Taimur Hassan, Samet Akcay, Mohammed Bennamoun, Salman H. Khan, Naoufel Werghi:
A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items. IEEE Trans. Syst. Man Cybern. Syst. 52(11): 6937-6951 (2022) - [c16]Samet Akcay, Dick Ameln, Ashwin Vaidya, Barath Lakshmanan, Nilesh A. Ahuja, Ergin Utku Genc:
Anomalib: A Deep Learning Library for Anomaly Detection. ICIP 2022: 1706-1710 - [i19]Taimur Hassan, Samet Akcay, Mohammed Bennamoun, Salman H. Khan, Naoufel Werghi:
A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items. CoRR abs/2201.02560 (2022) - [i18]Samet Akcay, Dick Ameln, Ashwin Vaidya, Barath Lakshmanan, Nilesh A. Ahuja, Ergin Utku Genc:
Anomalib: A Deep Learning Library for Anomaly Detection. CoRR abs/2202.08341 (2022) - 2021
- [c15]Philip A. Adey, Samet Akçay, Magnus Bordewich, Toby P. Breckon:
Autoencoders Without Reconstruction for Textural Anomaly Detection. IJCNN 2021: 1-8 - [c14]Naif Alshammari, Samet Akcay, Toby P. Breckon:
Competitive Simplicity for Multi-Task Learning for Real-Time Foggy Scene Understanding via Domain Adaptation. IV 2021: 1413-1420 - [c13]Naif Alshammari, Samet Akcay, Toby P. Breckon:
Multi-Modal Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation. IV 2021: 1428-1435 - [i17]Taimur Hassan, Samet Akcay, Mohammed Bennamoun, Salman H. Khan, Naoufel Werghi:
Unsupervised Anomaly Instance Segmentation for Baggage Threat Recognition. CoRR abs/2107.07333 (2021) - [i16]Taimur Hassan, Samet Akcay, Mohammed Bennamoun, Salman H. Khan, Naoufel Werghi:
Tensor Pooling Driven Instance Segmentation Framework for Baggage Threat Recognition. CoRR abs/2108.09603 (2021) - 2020
- [b1]Samet Akcay:
Towards real-time anomaly detection within X-ray security imagery: self-supervised adversarial training approach. Durham University, UK, 2020 - [j4]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): 6450 (2020) - [c12]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: 83-92 - [c11]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: 2016-2020 - [i15]Samet Akcay, Toby P. Breckon:
Towards Automatic Threat Detection: A Survey of Advances of Deep Learning within X-ray Security Imaging. CoRR abs/2001.01293 (2020) - [i14]Taimur Hassan, Samet Akcay, Mohammed Bennamoun, Salman H. Khan, Naoufel Werghi:
Cascaded Structure Tensor Framework for Robust Identification of Heavily Occluded Baggage Items from X-ray Scans. CoRR abs/2004.06780 (2020) - [i13]Seyma Yucer, Samet Akçay, Noura Al Moubayed, Toby P. Breckon:
Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation. CoRR abs/2004.08945 (2020) - [i12]Taimur Hassan, Samet Akcay, Mohammed Bennamoun, Salman H. Khan, Naoufel Werghi:
Trainable Structure Tensors for Autonomous Baggage Threat Detection Under Extreme Occlusion. CoRR abs/2009.13158 (2020) - [i11]Naif Alshammari, Samet Akcay, Toby P. Breckon:
Competitive Simplicity for Multi-Task Learning for Real-Time Foggy Scene Understanding via Domain Adaptation. CoRR abs/2012.05304 (2020) - [i10]Naif Alshammari, Samet Akcay, Toby P. Breckon:
Multi-Model Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation. CoRR abs/2012.05320 (2020)
2010 – 2019
- 2019
- [j3]Amir Atapour Abarghouei, Samet Akcay, Grégoire Payen de La Garanderie, Toby P. Breckon:
Generative adversarial framework for depth filling via Wasserstein metric, cosine transform and domain transfer. Pattern Recognit. 91: 232-244 (2019) - [j2]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): 4116-4123 (2019) - [c10]Yona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akcay, Toby P. Breckon:
Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery. ICMLA 2019: 420-425 - [c9]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: 986-991 - [c8]Samet Akçay, Amir Atapour Abarghouei, Toby P. Breckon:
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection. IJCNN 2019: 1-8 - [c7]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: 1-8 - [d1]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 [dataset]. Zenodo, 2019
- [i9]Samet Akçay, Amir Atapour Abarghouei, Toby P. Breckon:
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection. CoRR abs/1901.08954 (2019) - [i8]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 abs/1904.05304 (2019) - [i7]Bruna G. Maciel-Pearson, Samet Akcay, 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. CoRR abs/1907.08320 (2019) - [i6]Naif Alshammari, Samet Akçay, Toby P. Breckon:
Multi-Task Learning for Automotive Foggy Scene Understanding via Domain Adaptation to an Illumination-Invariant Representation. CoRR abs/1909.07697 (2019) - [i5]Neelanjan Bhowmik, Yona Falinie A. Gaus, Samet Akcay, 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. CoRR abs/1911.08216 (2019) - [i4]Yona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akcay, Toby P. Breckon:
Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery. CoRR abs/1911.08966 (2019) - [i3]Taimur Hassan, Salman H. Khan, Samet Akcay, Mohammed Bennamoun, Naoufel Werghi:
Deep CMST Framework for the Autonomous Recognition of Heavily Occluded and Cluttered Baggage Items from Multivendor Security Radiographs. CoRR abs/1912.04251 (2019) - [i2]Bruna G. Maciel-Pearson, Letizia Marchegiani, Samet Akcay, Amir Atapour Abarghouei, James Garforth, Toby P. Breckon:
Online Deep Reinforcement Learning for Autonomous UAV Navigation and Exploration of Outdoor Environments. CoRR abs/1912.05684 (2019) - 2018
- [j1]Samet Akcay, Mikolaj E. Kundegorski, Chris G. Willcocks, Toby P. Breckon:
Using Deep Convolutional Neural Network Architectures for Object Classification and Detection Within X-Ray Baggage Security Imagery. IEEE Trans. Inf. Forensics Secur. 13(9): 2203-2215 (2018) - [c6]Samet Akcay, Amir Atapour Abarghouei, Toby P. Breckon:
GANomaly: Semi-supervised Anomaly Detection via Adversarial Training. ACCV (3) 2018: 622-637 - [c5]Tiancheng Guo, Samet Akcay, Philip A. Adey, Toby P. Breckon:
On the Impact of Varying Region Proposal Strategies for Raindrop Detection and Classification Using Convolutional Neural Networks. ICIP 2018: 3413-3417 - [c4]Naif Alshammari, Samet Akcay, Toby P. Breckon:
On the Impact of Illumination-Invariant Image Pre-transformation for Contemporary Automotive Semantic Scene Understanding. Intelligent Vehicles Symposium 2018: 1027-1032 - [i1]Samet Akcay, Amir Atapour Abarghouei, Toby P. Breckon:
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training. CoRR abs/1805.06725 (2018) - 2017
- [c3]Samet Akcay, Toby P. Breckon:
An evaluation of region based object detection strategies within X-ray baggage security imagery. ICIP 2017: 1337-1341 - 2016
- [c2]Mikolaj E. Kundegorski, Samet Akcay, Michael Devereux, André Mouton, Toby P. Breckon:
On using feature descriptors as visual words for object detection within X-ray baggage security screening. ICDP 2016: 1-6 - [c1]Samet Akcay, Mikolaj E. Kundegorski, Michael Devereux, Toby P. Breckon:
Transfer learning using convolutional neural networks for object classification within X-ray baggage security imagery. ICIP 2016: 1057-1061
Coauthor Index
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last updated on 2024-10-11 18:20 CEST by the dblp team
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