Toby P Breckon
Toby P Breckon
Engineering & Computer Science, Durham University, UK
E-mailová adresa ověřena na: - Domovská stránka
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
Fundamentals of Digital Image Processing: A practical approach with examples in Matlab
C Solomon, T Breckon
John Wiley & Sons, 2011
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
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
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
Real-time monocular depth estimation using synthetic data with domain adaptation via image style transfer
A Atapour-Abarghouei, TP Breckon
Proceedings of the IEEE conference on computer vision and pattern …, 2018
Real-time people and vehicle detection from UAV imagery
A Gaszczak, TP Breckon, J Han
Intelligent robots and computer vision XXVIII: algorithms and techniques …, 2011
Dictionary of computer vision and image processing
RB Fisher, TP Breckon, K Dawson-Howe, A Fitzgibbon, C Robertson, ...
John Wiley & Sons, 2013
Unsupervised domain adaptation via structured prediction based selective pseudo-labeling
Q Wang, T Breckon
Proceedings of the AAAI conference on artificial intelligence 34 (04), 6243-6250, 2020
Object Recognition using 3D SIFT in Complex CT Volumes.
GT Flitton, TP Breckon, NM Bouallagu
BMVC 1, 1-12, 2010
Style augmentation: data augmentation via style randomization.
PTG Jackson, AA Abarghouei, S Bonner, TP Breckon, B Obara
CVPR workshops 6, 10-11, 2019
Improving feature-based object recognition for X-ray baggage security screening using primed visualwords
D Turcsany, A Mouton, TP Breckon
2013 IEEE International conference on industrial technology (ICIT), 1140-1145, 2013
Towards automatic threat detection: A survey of advances of deep learning within X-ray security imaging
S Akcay, T Breckon
Pattern Recognition 122, 108245, 2022
Experimentally defined convolutional neural network architecture variants for non-temporal real-time fire detection
AJ Dunnings, TP Breckon
2018 25th IEEE international conference on image processing (ICIP), 1558-1562, 2018
A comparison of 3D interest point descriptors with application to airport baggage object detection in complex CT imagery
G Flitton, TP Breckon, N Megherbi
Pattern Recognition 46 (9), 2420-2436, 2013
Unit-ddpm: Unpaired image translation with denoising diffusion probabilistic models
H Sasaki, CG Willcocks, TP Breckon
arXiv preprint arXiv:2104.05358, 2021
Automatic road environment classification
I Tang, TP Breckon
IEEE Transactions on Intelligent Transportation Systems 12 (2), 476-484, 2010
Simulating brain signals: Creating synthetic eeg data via neural-based generative models for improved ssvep classification
NKN Aznan, A Atapour-Abarghouei, S Bonner, JD Connolly, ...
2019 International joint conference on neural networks (IJCNN), 1-8, 2019
Automatic real-time road marking recognition using a feature driven approach
A Kheyrollahi, TP Breckon
Machine Vision and Applications 23, 123-133, 2012
Noise robust image edge detection based upon the automatic anisotropic Gaussian kernels
WC Zhang, YL Zhao, TP Breckon, L Chen
Pattern Recognition 63, 193-205, 2017
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Články 1–20