Toby P. Breckon

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A Reference Architecture for Plausible Threat Image Projection (TIP) Within 3D X-ray Computed Tomography Volumes

Qian Wang, Najla Megherbi Bouallagu, Toby P. Breckon, 2020, Journal of X-ray science and technology.

Watermark Retrieval from 3D Printed Objects via Convolutional Neural Networks pdf

Toby P. Breckon, Ioannis P. Ivrissimtzis, Qian Wang, 2018, ArXiv.

Three-Dimensional Surface Relief Completion Via Nonparametric Techniques

Robert B. Fisher, Toby P. Breckon, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

On the Impact of Illumination-Invariant Image Pre-transformation for Contemporary Automotive Semantic Scene Understanding

Toby P. Breckon, Samet Akcay, Naif Alshammari, 2018, 2018 IEEE Intelligent Vehicles Symposium (IV).

Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery

Toby P. Breckon, Yona Falinie A. Gaus, Neelanjan Bhowmik, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Using Deep Neural Networks to Address the Evolving Challenges of Concealed Threat Detection within Complex Electronic Items

Toby P. Breckon, Yona Falinie A. Gaus, Neelanjan Bhowmik, 2019, 2019 IEEE International Symposium on Technologies for Homeland Security (HST).

Completing unknown portions of 3D scenes by 3D visual propagation

Toby P. Breckon, 2006 .

Style Augmentation: Data Augmentation via Style Randomization

Toby P. Breckon, Philip T. G. Jackson, Boguslaw Obara, 2018, CVPR Workshops.

Human pose classification within the context of near-IR imagery tracking

Toby P. Breckon, Stuart E. Barnes, Jiwan Han, 2013, Optics/Photonics in Security and Defence.

From On-Road to Off: Transfer Learning Within a Deep Convolutional Neural Network for Segmentation and Classification of Off-Road Scenes

Toby P. Breckon, Wei Xiong, Christopher J. Holder, 2016, ECCV Workshops.

Object Recognition using 3D SIFT in Complex CT Volumes

Najla Megherbi Bouallagu, Toby P. Breckon, Gregory T. Flitton, 2010, BMVC.

Combining motion segmentation and feature based tracking for object classification and anomaly detection

Xiang Li, Toby P. Breckon, 2007 .

Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI.

Toby P. Breckon, Stephen Bonner, Nik Khadijah Nik Aznan, 2020 .

Materials-based 3D segmentation of unknown objects from dual-energy computed tomography imagery in baggage security screening

Toby P. Breckon, André Mouton, T. Breckon, 2015, Pattern Recognit..

The application of support vector machine classification to detect cell nuclei for automated microscopy

Toby P. Breckon, David A. Randell, Gabriel Landini, 2010, Machine Vision and Applications.

Robust visual tracking via speedup multiple kernel ridge regression

Hui Li, Toby P. Breckon, Cheng Qian, 2015, J. Electronic Imaging.

Noise robust image edge detection based upon the automatic anisotropic Gaussian kernels

Long Chen, Toby P. Breckon, Yali Zhao, 2017, Pattern Recognit..

Multi-modal target detection for autonomous wide area search and surveillance

Toby P. Breckon, Stuart E. Barnes, Jiwan Han, 2013, Optics/Photonics in Security and Defence.

3D colour mesh detail enhancement driven from 2D texture edge information

Toby P. Breckon, Q. Desile, R. Finnie, 2008 .

A non-temporal texture driven approach to real-time fire detection

Toby P. Breckon, Anna Gaszczak, Audrey Chenebert, 2011, 2011 18th IEEE International Conference on Image Processing.

On the Impact of Varying Region Proposal Strategies for Raindrop Detection and Classification Using Convolutional Neural Networks

Toby P. Breckon, Samet Akcay, Philip A. Adey, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Improved 3D sparse maps for high-performance SFM with low-cost omnidirectional robots

Toby P. Breckon, Humberto Martínez Barberá, Pedro Cavestcmy, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery

Toby P. Breckon, Amir Atapour Abarghouei, Grégoire Payen de La Garanderie, 2018, ECCV.

Automatic Road Environment Classification

Toby P. Breckon, Isabelle Tang, T. Breckon, 2011, IEEE Transactions on Intelligent Transportation Systems.

On the Impact of Object and Sub-Component Level Segmentation Strategies for Supervised Anomaly Detection within X-Ray Security Imagery

Toby P. Breckon, Samet Akcay, Yona Falinie A. Gaus, 2019, 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA).

Amodal volume completion: 3D visual completion

Robert B. Fisher, Toby P. Breckon, T. Breckon, 2005, Comput. Vis. Image Underst..

Challenges of finding aesthetically pleasing images

Toby P. Breckon, João Faria, Stefan M. Rüger, 2013, 2013 14th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS).

A comparison of classification approaches for threat detection in CT based baggage screening

Najla Megherbi Bouallagu, Toby P. Breckon, J. W. Han, 2012, 2012 19th IEEE International Conference on Image Processing.

Realizing perceptive virtual reality imaging applications on conventional PC hardware

Toby P. Breckon, Karl W. Jenkins, P Sonkoly, 2011 .

Automatic real-time road marking recognition using a feature driven approach

Toby P. Breckon, Alireza Kheyrollahi, T. Breckon, 2010, Machine Vision and Applications.

Considering video as a volume

Toby P. Breckon, Greg T. Flitton, 2007 .

A hierarchical extension to 3D non-parametric surface relief completion

Robert B. Fisher, Toby P. Breckon, T. Breckon, 2012, Pattern Recognit..

On Cross-Spectral Stereo Matching using Dense Gradient Features

Toby P. Breckon, Horst Bischof, Peter Pinggera, 2012, BMVC.

Real-Time Low-Cost Omni-Directional Stereo Vision via Bi-polar Spherical Cameras

Toby P. Breckon, Kaiwen Lin, T. Breckon, 2018, ICIAR.

Real-time people and vehicle detection from UAV imagery

Toby P. Breckon, Jiwan Han, Anna Gaszczak, 2011, Electronic Imaging.

Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation

Toby P. Breckon, Noura Al Moubayed, Samet Akçay, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

A novel intensity limiting approach to Metal Artefact Reduction in 3D CT baggage imagery

Najla Megherbi Bouallagu, Toby P. Breckon, Gregory T. Flitton, 2012, 2012 19th IEEE International Conference on Image Processing.

Direct Geometric Texture Synthesis and Transfer on 3D Meshes

Robert B. Fisher, Toby P. Breckon, 2006 .

Dictionary of Computer Vision and Image Processing, Second Edition

Andrew W. Fitzgibbon, Robert B. Fisher, Toby P. Breckon, 2013 .

Geometrical approach for automatic detection of liquid surfaces in 3D computed tomography baggage imagery

Toby P. Breckon, Lounis Chermak, Najla Megherbi, 2015 .

Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification

Toby P. Breckon, Stephen Bonner, Nik Khadijah Nik Aznan, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

In Proc. International Conference on Image Analysis and Recognition 2004, pp. 680-687 (LNCS 3211) c Springer-Verlag 2004 Environment Authentication through 3D Structural Analysis

Toby P. Breckon, Robert B. Fisher, 2004 .

Adopting deep learning methods for airborne RGB fluvial scene classification

Toby P. Breckon, Amy Woodget, Mark A. Fonstad, 2020 .

Transfer learning using convolutional neural networks for object classification within X-ray baggage security imagery

Toby P. Breckon, Samet Akcay, Michael Devereux, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Visual Media Production, 2006. CVMP 2006. 3rd European Conference on

Toby P. Breckon, Bob Fisher, 2006 .

Non-parametric 3D surface completion

Robert B. Fisher, Toby P. Breckon, T. Breckon, 2005, Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05).

3D object classification in baggage computed tomography imagery using randomised clustering forests

Najla Megherbi Bouallagu, Toby P. Breckon, Gregory T. Flitton, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

On the Classification of SSVEP-Based Dry-EEG Signals via Convolutional Neural Networks

Toby P. Breckon, Stephen Bonner, Nik Khadijah Nik Aznan, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Dictionary of Computer Vision and Image Processing, 2nd Edition

Toby P. Breckon, Kenneth M. Dawson-Howe, Christopher K. I. Williams, 2013 .

Consistency in multi-modal automated target detection using temporally filtered reporting

Toby P. Breckon, J. W. Han, Ji W. Han, 2012, Optics/Photonics in Security and Defence.

Real-time visual saliency by Division of Gaussians

Toby P. Breckon, Ioannis Katramados, T. Breckon, 2011, 2011 18th IEEE International Conference on Image Processing.

Plausible 3D Colour Surface Completion Using Non-parametric Techniques

Robert B. Fisher, Toby P. Breckon, T. Breckon, 2005, IMA Conference on the Mathematics of Surfaces.

Degraf-Flow: Extending Degraf Features for Accurate and Efficient Sparse-To-Dense Optical Flow Estimation

Toby P. Breckon, Ioannis Katramados, Felix Stephenson, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

Fully automatic 3D Threat Image Projection: Application to densely cluttered 3D Computed Tomography baggage images

Najla Megherbi Bouallagu, Toby P. Breckon, Gregory T. Flitton, 2012, 2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA).

Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation Within the Forest Canopy

Toby P. Breckon, Bruna G. Maciel-Pearson, Patrice Carbonneau, 2018, TAROS.

A comparative review of plausible hole filling strategies in the context of scene depth image completion

Toby P. Breckon, Amir Atapour Abarghouei, T. Breckon, 2018, Comput. Graph..

Toward sensor modular autonomy for persistent land intelligence surveillance and reconnaissance (ISR)

Simon Islip, Toby P. Breckon, David Faulkner, 2016, SPIE Defense + Security.

Unifying Unsupervised Domain Adaptation and Zero-Shot Visual Recognition

Toby P. Breckon, Qian Wang, Penghui Bu, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Adaptive object placement for augmented reality use in driver assistance systems

Toby P. Breckon, Ioannis Katramados, Alireza Kheyrollahi, 2011 .

Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection

Toby P. Breckon, Samet Akçay, Amir Atapour Abarghouei, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

A photogrammetric approach for real-time 3D localization and tracking of pedestrians in monocular infrared imagery

Toby P. Breckon, Mikolaj E. Kundegorski, T. Breckon, 2014, Security and Defence.

Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab

Toby P. Breckon, Christopher J. Solomon, T. Breckon, 2011 .

Author Profiling: Gender Prediction from Tweets and Images: Notebook for PAN at CLEF 2018

Yaakov HaCohen-Kerner, Toby P. Breckon, Daniel Miller, 2018, CLEF.

Real-time video analysis for vehicle lights detection using temporal information

Toby P. Breckon, Marcin Eichner, M. Eichner, 2007, IET 4th European Conference on Visual Media Production (CVMP 2007).

Radon transform based automatic metal artefacts generation for 3D threat image projection

Toby P. Breckon, Greg T. Flitton, Andre Mouton, 2013, Optics/Photonics in Security and Defence.

Learning to Drive: Using Visual Odometry to Bootstrap Deep Learning for Off-Road Path Prediction

Toby P. Breckon, Christopher J. Holder, T. Breckon, 2018, 2018 IEEE Intelligent Vehicles Symposium (IV).

On the Impact of Parallax Free Colour and Infrared Image Co-Registration to Fused Illumination Invariant Adaptive Background Modelling

Toby P. Breckon, Michael Loveday, T. Breckon, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Environment Authentication Through 3D Structural Analysis

Robert B. Fisher, Toby P. Breckon, 2004, ICIAR.

Quantitative Evaluation of Stereo Visual Odometry for Autonomous Vessel Localisation in Inland Waterway Sensing Applications

Toby P. Breckon, Oliver K. Hamilton, Monica Rivas Casado, 2015, Sensors.

TMIXT: A process flow for Transcribing MIXed handwritten and machine-printed Text

Toby P. Breckon, A. Stephen McGough, Peter Matthews, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Extended Patch Prioritization for Depth Filling Within Constrained Exemplar-Based RGB-D Image Completion

Toby P. Breckon, Amir Atapour Abarghouei, 2018, ICIAR.

Posture estimation for improved photogrammetric localization of pedestrians in monocular infrared imagery

Toby P. Breckon, Mikolaj E. Kundegorski, T. Breckon, 2015, SPIE Security + Defence.

A 3D extension to cortex like mechanisms for 3D object class recognition

Najla Megherbi Bouallagu, Toby P. Breckon, Gregory T. Flitton, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Real-Time Traversable Surface Detection by Colour Space Fusion and Temporal Analysis

Toby P. Breckon, Ioannis Katramados, Steve Crumpler, 2009, ICVS.

A Ranking Based Attention Approach for Visual Tracking

Toby P. Breckon, Sei-ichiro Kamata, Shenhui Peng, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

A distance driven method for metal artefact reduction in computed tomography

Najla Megherbi Bouallagu, Toby P. Breckon, Johan Nuyts, 2013, 2013 IEEE International Conference on Image Processing.

Using Deep Convolutional Neural Network Architectures for Object Classification and Detection Within X-Ray Baggage Security Imagery

Toby P. Breckon, Samet Akcay, Chris G. Willcocks, 2018, IEEE Transactions on Information Forensics and Security.

Clustering in pursuit of temporal correlation for human motion segmentation

Toby P. Breckon, Zezhong Xu, Cheng Qian, 2018, Multimedia Tools and Applications.

Depth Not Needed - An Evaluation of RGB-D Feature Encodings for Off-Road Scene Understanding by Convolutional Neural Network pdf

Toby P. Breckon, Xiong Wei, Christopher J. Holder, 2018, ArXiv.

VIDEO RE-SAMPLING AND CONTENT RE-TARGETING FOR REALISTIC DRIVING INCIDENT SIMULATION

Toby P. Breckon, Alejo M. Heras, Marko Tirovic, 2011 .

Generative adversarial framework for depth filling via Wasserstein metric, cosine transform and domain transfer

Toby P. Breckon, Samet Akcay, Amir Atapour Abarghouei, 2019, Pattern Recognit..

On the Relative Contribution of Deep Convolutional Neural Networks for SSVEP-Based Bio-Signal Decoding in BCI Speller Applications

Toby P. Breckon, Jason D. Connolly, J. D. Connolly, 2019, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Using Variable Natural Environment Brain-Computer Interface Stimuli for Real-time Humanoid Robot Navigation

Toby P. Breckon, Nik Khadijah Nik Aznan, Noura Al Moubayed, 2018, 2019 International Conference on Robotics and Automation (ICRA).

Encoding Stereoscopic Depth Features for Scene Understanding in off-Road Environments

Toby P. Breckon, Christopher J. Holder, 2018, ICIAR.

An empirical comparison of real-time dense stereo approaches for use in the automotive environment

Toby P. Breckon, Filip Mroz, T. Breckon, 2012, EURASIP J. Image Video Process..

SMS Spam Filtering Using Probabilistic Topic Modelling and Stacked Denoising Autoencoder pdf

Toby P. Breckon, A. Stephen McGough, Peter Matthews, 2016, ICANN.

Improved raindrop detection using combined shape and saliency descriptors with scene context isolation

Toby P. Breckon, Dereck D. Webster, T. Breckon, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Cross-spectral visual simultaneous localization and mapping (SLAM) with sensor handover

Toby P. Breckon, Marina Magnabosco, T. Breckon, 2013, Robotics Auton. Syst..

Dealing with Missing Depth: Recent Advances in Depth Image Completion and Estimation

Toby P. Breckon, Amir Atapour-Abarghouei, T. Breckon, 2019, RGB-D Image Analysis and Processing.

Experimentally Defined Convolutional Neural Network Architecture Variants for Non-Temporal Real-Time Fire Detection

Toby P. Breckon, Andrew J. Dunnings, T. Breckon, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Visible to infrared transfer learning as a paradigm for accessible real-time object detection and classification in infrared imagery

Toby P. Breckon, Neelanjan Bhowmik, Yona Falinie A. Gaus, 2020, Security + Defence.

Augmenting GPS speed limit monitoring with road side visual information

Toby P. Breckon, Marcin Eichner, 2008 .

Infrared Image Colorization Using a S-Shape Network

Toby P. Breckon, Sei-ichiro Kamata, Ziyue Dong, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Real-Time Monocular Depth Estimation Using Synthetic Data with Domain Adaptation via Image Style Transfer

Toby P. Breckon, Amir Atapour Abarghouei, T. Breckon, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

On the Use of Deep Learning for the Detection of Firearms in X-ray Baggage Security Imagery

Toby P. Breckon, Yona Falinie A. Gaus, Neelanjan Bhowmik, 2019, 2019 IEEE International Symposium on Technologies for Homeland Security (HST).

On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery

Toby P. Breckon, Qian Wang, Neelanjan Bhowmik, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach

Toby P. Breckon, Amir Atapour Abarghouei, T. Breckon, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

The Good, the Bad and the Ugly: Evaluating Convolutional Neural Networks for Prohibited Item Detection Using Real and Synthetically Composited X-ray Imagery pdf

Toby P. Breckon, Qian Wang, Yona Falinie A. Gaus, 2019, ArXiv.

Real-time classification of vehicles by type within infrared imagery

Toby P. Breckon, Samet Akçay, Mikolaj E. Kundegorski, 2016, Security + Defence.

Artwork image retrieval using weighted colour and texture similarity

Toby P. Breckon, Stephanie Zirnhelt, 2007 .

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

Toby P. Breckon, Samet Akcay, Amir Atapour Abarghouei, 2018, ACCV.

Gesture recognition using a laser pointer

Toby P. Breckon, Stuart E. Barnes, J. Rzeznik, 2008 .

To Complete or to Estimate, That is the Question: A Multi-Task Approach to Depth Completion and Monocular Depth Estimation

Toby P. Breckon, Amir Atapour Abarghouei, 2019, 2019 International Conference on 3D Vision (3DV).

DepthComp: Real-time Depth Image Completion Based on Prior Semantic Scene Segmentation

Toby P. Breckon, Amir Atapour Abarghouei, T. Breckon, 2017, BMVC.

Monocular Segment-Wise Depth: Monocular Depth Estimation Based on a Semantic Segmentation Prior

Toby P. Breckon, Amir Atapour Abarghouei, T. Breckon, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

Using compressed audio-visual words for multi-modal scene classification

Toby P. Breckon, Jan J. Kurcius, T. Breckon, 2014, 2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM).

Multi-Task Learning for Automotive Foggy Scene Understanding via Domain Adaptation to an Illumination-Invariant Representation pdf

Toby P. Breckon, Naif Alshammari, Samet Akçay, 2019, ArXiv.

Object classification in 3D baggage security computed tomography imagery using visual codebooks

Toby P. Breckon, Gregory T. Flitton, André Mouton, 2015, Pattern Recognit..

Robust motion filtering as an enabler to video stabilization for a tele-operated mobile robot

Toby P. Breckon, Romain Chereau, 2013, Optics/Photonics in Security and Defence.

A Baseline for Multi-Label Image Classification Using Ensemble Deep CNN pdf

Toby P. Breckon, Qian Wang, Ning Jia, 2018, ArXiv.

On the Use of Neural Text Generation for the Task of Optical Character Recognition

Toby P. Breckon, Peter Matthews, Boguslaw Obara, 2019, 2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA).

Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery pdf

Toby P. Breckon, Qian Wang, T. Breckon, 2020, 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).

A comparison of 3D interest point descriptors with application to airport baggage object detection in complex CT imagery

Najla Megherbi Bouallagu, Toby P. Breckon, Gregory T. Flitton, 2013, Pattern Recognit..

A classifier based approach for the detection of potential threats in CT based Baggage Screening

Najla Megherbi Bouallagu, Toby P. Breckon, Gregory T. Flitton, 2010, 2010 IEEE International Conference on Image Processing.

Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery

Toby P. Breckon, Samet Akcay, Yona Falinie A. Gaus, 2019, 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA).

A foreground object based quantitative assessment of dense stereo approaches for use in automotive environments

Toby P. Breckon, Sei-ichiro Kamata, Oliver K. Hamilton, 2013, 2013 IEEE International Conference on Image Processing.

An evaluation of region based object detection strategies within X-ray baggage security imagery

Toby P. Breckon, Samet Akcay, T. Breckon, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening

Toby P. Breckon, Qian Wang, Khalid N. Ismail, 2019, Journal of X-ray science and technology.

Improved Depth Recovery In Consumer Depth Cameras via Disparity Space Fusion within Cross-spectral Stereo

Toby P. Breckon, Grégoire Payen de La Garanderie, T. Breckon, 2014, BMVC.

An Optimised Deep Neural Network Approach for Forest Trail Navigation for UAV Operation within the Forest Canopy

Toby P. Breckon, Bruna G. Maciel-Pearson, Pratrice Carbonneu, 2017 .

Investigating existing medical CT segmentation techniques within automated baggage and package inspection

Toby P. Breckon, Greg T. Flitton, Najla Megherbi, 2013, Optics/Photonics in Security and Defence.

Constant-time bilateral filter using spectral decomposition

Toby P. Breckon, Sei-ichiro Kamata, Kenjiro Sugimoto, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Real-time construction and visualisation of drift-free video mosaics from unconstrained camera motion

Toby P. Breckon, Mateusz Brzeszcz, T. Breckon, 2015 .

Super-resolution imaging applied to moving targets in high dynamics scenes

Toby P. Breckon, Olegs Mise, T. Breckon, 2013, Optics/Photonics in Security and Defence.

Generalized dynamic object removal for dense stereo vision based scene mapping using synthesised optical flow

Toby P. Breckon, Oliver K. Hamilton, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

On the Evaluation of Semi-Supervised 2D Segmentation for Volumetric 3D Computed Tomography Baggage Security Screening

Toby P. Breckon, Qian Wang, Qian Wang, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Autoencoders Without Reconstruction for Textural Anomaly Detection

Toby P. Breckon, Philip A. Adey, Magnus Bordewich, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes pdf

Toby P. Breckon, Chris G. Willcocks, Sam Bond-Taylor, 2021, ECCV.

DurLAR: A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications

Toby P. Breckon, Li Li, Hubert P. H. Shum, 2021, 2021 International Conference on 3D Vision (3DV).

On the Impact of Using X-Ray Energy Response Imagery for Object Detection Via Convolutional Neural Networks pdf

Toby P. Breckon, Yona Falinie A. Gaus, Neelanjan Bhowmik, 2021, 2021 IEEE International Conference on Image Processing (ICIP).

Multi-view Object Detection Using Epipolar Constraints within Cluttered X-ray Security Imagery

Toby P. Breckon, Chris G. Willcocks, Brian K. S. Isaac-Medina, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Progressively Select and Reject Pseudo-labelled Samples for Open-Set Domain Adaptation pdf

Toby P. Breckon, Qian Wang, Fanlin Meng, 2021, IEEE Transactions on Artificial Intelligence.

Source Class Selection With Label Propagation For Partial Domain Adaptation

Toby P. Breckon, Qian Wang, Qian Wang, 2021, 2021 IEEE International Conference on Image Processing (ICIP).

Temporal and non-temporal contextual saliency analysis for generalized wide-area search within unmanned aerial vehicle (UAV) video

Toby P. Breckon, Simon G. E. Gökstorp, 2021, The Visual Computer.

UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models pdf

Toby P. Breckon, Chris G. Willcocks, Hiroshi Sasaki, 2021, ArXiv.

Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray Imagery

Toby P. Breckon, Yona Falinie A. Gaus, Neelanjan Bhowmik, 2021, 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).

UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-identification pdf

Toby P. Breckon, Hubert P. H. Shum, Shanfeng Hu, 2021, VISIGRAPP.

Measuring Hidden Bias within Face Recognition via Racial Phenotypes pdf

Toby P. Breckon, Noura Al Moubayed, Seyma Yucer, 2021, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark

Toby P. Breckon, Hubert P. H. Shum, Chris G. Willcocks, 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

PANDA: Perceptually Aware Neural Detection of Anomalies

Toby P. Breckon, Jack W. Barker, T. Breckon, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

A comparison of features for regression-based driver head pose estimation under varying illumination conditions

Toby P. Breckon, Thomas Popham, Anna Gaszczak, 2014, 2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM).

Real-time Mosaicing from Unconstrained Video Imagery for UAV Applications

Toby P. Breckon, Mateusz Brzeszcz, T. Breckon, 2010 .

Improved 3D Sparse Maps for High-performance Structure from Motion with Low-cost Omnidirectional Robots - Evaluation Dataset

Toby P. Breckon, Pedro Cavestany, T. Breckon, 2015 .

AUTOMATIC SALIENT OBJECT DETECTION IN UAV IMAGERY

Toby P. Breckon, T. Breckon, Jan Sokalski, 2010 .

Fourier Transforms and Frequency‐Domain Processing

Toby P. Breckon, Christopher J. Solomon, 2011 .

Back to Butterworth - a Fourier basis for 3D surface relief hole filling within RGB-D imagery

Toby P. Breckon, Amir Atapour Abarghouei, Grégoire Payen de La Garanderie, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).