Environment Authentication Through 3D Structural Analysis. - Toby P. Breckon; Robert B. Fisher (ICIAR (1), 2004)

Non-Parametric 3D Surface Completion. - Toby P. Breckon; Robert B. Fisher (3DIM, 2005)

Plausible 3D Colour Surface Completion Using Non-parametric Techniques. - Toby P. Breckon; Robert B. Fisher (IMA Conference on the Mathematics of Surfaces, 2005)

Amodal volume completion: 3D visual completion. - Toby P. Breckon; Robert B. Fisher (Comput. Vis. Image Underst., 2005)

Three-Dimensional Surface Relief Completion Via Nonparametric Techniques. - Toby P. Breckon; Robert B. Fisher (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Real-Time Traversable Surface Detection by Colour Space Fusion and Temporal Analysis. - Ioannis Katramados; Steve Crumpler; Toby P. Breckon (ICVS, 2009)

Object Recognition using 3D SIFT in Complex CT Volumes. - Gregory T. Flitton; Toby P. Breckon; Najla Megherbi Bouallagu (BMVC, 2010)

A classifier based approach for the detection of potential threats in CT based Baggage Screening. - Najla Megherbi; Gregory T. Flitton; Toby P. Breckon (ICIP, 2010)

Real-time people and vehicle detection from UAV imagery. - Anna Gaszczak; Toby P. Breckon; Ji Wan Han (Intelligent Robots and Computer Vision: Algorithms and Techniques, 2011)

A non-temporal texture driven approach to real-time fire detection. - Audrey Chenebert; Toby P. Breckon; Anna Gaszczak (ICIP, 2011)

Real-time visual saliency by Division of Gaussians. - Ioannis Katramados; Toby P. Breckon (ICIP, 2011)

Automatic Road Environment Classification. - Isabelle Tang; Toby P. Breckon (IEEE Trans. Intell. Transp. Syst., 2011)

On Cross-Spectral Stereo Matching using Dense Gradient Features. - Peter Pinggera; Toby P. Breckon; Horst Bischof (BMVC, 2012)

A 3D extension to cortex like mechanisms for 3D object class recognition. - Gregory T. Flitton; Toby P. Breckon; Najla Megherbi (CVPR, 2012)

A comparison of classification approaches for threat detection in CT based baggage screening. - Najla Megherbi; Ji Wan Han; Toby P. Breckon; Gregory T. Flitton (ICIP, 2012)

A novel intensity limiting approach to Metal Artefact Reduction in 3D CT baggage imagery. - André Mouton; Najla Megherbi; Gregory T. Flitton; Suzanne Bizot; Toby P. Breckon (ICIP, 2012)

Fully automatic 3D Threat Image Projection: Application to densely cluttered 3D Computed Tomography baggage images. - Najla Megherbi Bouallagu; Toby P. Breckon; Gregory T. Flitton; André Mouton (IPTA, 2012)

An empirical comparison of real-time dense stereo approaches for use in the automotive environment. - Filip Mroz; Toby P. Breckon (EURASIP J. Image Video Process., 2012)

The application of support vector machine classification to detect cell nuclei for automated microscopy. - Ji Wan Han; Toby P. Breckon; David A. Randell; Gabriel Landini (Mach. Vis. Appl., 2012)

Automatic real-time road marking recognition using a feature driven approach. - Alireza Kheyrollahi; Toby P. Breckon (Mach. Vis. Appl., 2012)

A hierarchical extension to 3D non-parametric surface relief completion. - Toby P. Breckon; Robert B. Fisher (Pattern Recognit., 2012)

Dictionary of Computer Vision and Image Processing, Second Edition. - Robert B. Fisher; Toby P. Breckon; Kenneth M. Dawson-Howe; Andrew W. Fitzgibbon; Craig Robertson; Emanuele Trucco; Christopher K. I. Williams (Wiley, 2013)

A foreground object based quantitative assessment of dense stereo approaches for use in automotive environments. - Oliver K. Hamilton; Toby P. Breckon; Xuejiao Bai; Sei-ichiro Kamata (ICIP, 2013)

A distance driven method for metal artefact reduction in computed tomography. - André Mouton; Najla Megherbi; Katrien Van Slambrouck; Johan Nuyts; Toby P. Breckon (ICIP, 2013)

Challenges of finding aesthetically pleasing images. - João Faria; Stanislav Bagley; Stefan M. Rüger; Toby P. Breckon (WIAMIS, 2013)

A comparison of 3D interest point descriptors with application to airport baggage object detection in complex CT imagery. - Gregory T. Flitton; Toby P. Breckon; Najla Megherbi (Pattern Recognit., 2013)

Cross-spectral visual simultaneous localization and mapping (SLAM) with sensor handover. - Marina Magnabosco; Toby P. Breckon (Robotics Auton. Syst., 2013)

Improved Depth Recovery In Consumer Depth Cameras via Disparity Space Fusion within Cross-spectral Stereo. - Grégoire Payen de La Garanderie; Toby P. Breckon (BMVC, 2014)

3D object classification in baggage computed tomography imagery using randomised clustering forests. - André Mouton; Toby P. Breckon; Gregory T. Flitton; Najla Megherbi Bouallagu (ICIP, 2014)

Improved 3D sparse maps for high-performance SFM with low-cost omnidirectional robots. - Pedro Cavestcmy; Antonio L. Rodriguez; Humberto Martínez Barberá; Toby P. Breckon (ICIP, 2015)

Improved raindrop detection using combined shape and saliency descriptors with scene context isolation. - Dereck D. Webster; Toby P. Breckon (ICIP, 2015)

Robust visual tracking via speedup multiple kernel ridge regression. - Cheng Qian; Toby P. Breckon; Hui Li (J. Electronic Imaging, 2015)

Object classification in 3D baggage security computed tomography imagery using visual codebooks. - Gregory T. Flitton; André Mouton; Toby P. Breckon (Pattern Recognit., 2015)

Materials-based 3D segmentation of unknown objects from dual-energy computed tomography imagery in baggage security screening. - André Mouton; Toby P. Breckon (Pattern Recognit., 2015)

Quantitative Evaluation of Stereo Visual Odometry for Autonomous Vessel Localisation in Inland Waterway Sensing Applications. - Thomas Kriechbaumer; Kim Blackburn; Toby P. Breckon; Oliver K. Hamilton; Mónica Rivas Casado (Sensors, 2015)

From On-Road to Off: Transfer Learning Within a Deep Convolutional Neural Network for Segmentation and Classification of Off-Road Scenes. - Christopher J. Holder; Toby P. Breckon; Wei Xiong 001 (ECCV Workshops (1), 2016)

SMS Spam Filtering Using Probabilistic Topic Modelling and Stacked Denoising Autoencoder. - Noura Al Moubayed; Toby P. Breckon; Peter Matthews; A. Stephen McGough (ICANN (2), 2016)

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)

Generalized dynamic object removal for dense stereo vision based scene mapping using synthesised optical flow. - Oliver K. Hamilton; Toby P. Breckon (ICIP, 2016)

Dense gradient-based features (DEGRAF) for computationally efficient and invariant feature extraction in real-time applications. - Ioannis Katramados; Toby P. Breckon (ICIP, 2016)

Constant-time bilateral filter using spectral decomposition. - Kenjiro Sugimoto; Toby P. Breckon; Sei-ichiro Kamata (ICIP, 2016)

Back to Butterworth - a Fourier basis for 3D surface relief hole filling within RGB-D imagery. - Amir Atapour Abarghouei; Grégoire Payen de La Garanderie; Toby P. Breckon (ICPR, 2016)

DepthComp: Real-time Depth Image Completion Based on Prior Semantic Scene Segmentation. - Amir Atapour Abarghouei; Toby P. Breckon (BMVC, 2017)

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

Noise robust image edge detection based upon the automatic anisotropic Gaussian kernels. - Weichuan Zhang; Yali Zhao; Toby P. Breckon; Long Chen (Pattern Recognit., 2017)

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

TMIXT: A process flow for Transcribing MIXed handwritten and machine-printed Text. - Fady Medhat; Mahnaz Mohammadi; Sardar F. Jaf; Chris G. Willcocks; Toby P. Breckon; Peter Matthews; Andrew Stephen McGough; Georgios Theodoropoulos 001; Boguslaw Obara (IEEE BigData, 2018)

Author Profiling: Gender Prediction from Tweets and Images: Notebook for PAN at CLEF 2018. - Yaakov HaCohen-Kerner; Yair Yigal; Elyashiv Shayovitz; Daniel Miller; Toby P. Breckon (CLEF (Working Notes), 2018)

Real-Time Monocular Depth Estimation Using Synthetic Data With Domain Adaptation via Image Style Transfer. - Amir Atapour Abarghouei; Toby P. Breckon (CVPR, 2018)

On the Impact of Parallax Free Colour and Infrared Image Co-Registration to Fused Illumination Invariant Adaptive Background Modelling. - Michael Loveday; Toby P. Breckon (CVPR Workshops, 2018)

Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360 ^ circ ∘ Panoramic Imagery. - Grégoire Payen de La Garanderie; Amir Atapour Abarghouei; Toby P. Breckon (ECCV (13), 2018)

Extended Patch Prioritization for Depth Filling Within Constrained Exemplar-Based RGB-D Image Completion. - Amir Atapour Abarghouei; Toby P. Breckon (ICIAR, 2018)

Encoding Stereoscopic Depth Features for Scene Understanding in off-Road Environments. - Christopher J. Holder; Toby P. Breckon (ICIAR, 2018)

Real-Time Low-Cost Omni-Directional Stereo Vision via Bi-polar Spherical Cameras. - Kaiwen Lin; Toby P. Breckon (ICIAR, 2018)

Infrared Image Colorization Using a S-Shape Network. - Ziyue Dong; Sei-ichiro Kamata; Toby P. Breckon (ICIP, 2018)

Experimentally Defined Convolutional Neural Network Architecture Variants for Non-Temporal Real-Time Fire Detection. - Andrew J. Dunnings; Toby P. Breckon (ICIP, 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)

Learning to Drive: Using Visual Odometry to Bootstrap Deep Learning for Off-Road Path Prediction. - Christopher J. Holder; Toby P. Breckon (Intelligent Vehicles Symposium, 2018)

On the Classification of SSVEP-Based Dry-EEG Signals via Convolutional Neural Networks. - Nik Khadijah Nik Aznan; Stephen Bonner; Jason D. Connolly; Noura Al Moubayed; Toby P. Breckon (SMC, 2018)

Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation Within the Forest Canopy. - Bruna G. Maciel-Pearson; Patrice E. Carbonneau; Toby P. Breckon (TAROS, 2018)

A comparative review of plausible hole filling strategies in the context of scene depth image completion. - Amir Atapour Abarghouei; Toby P. Breckon (Comput. Graph., 2018)

Depth Not Needed - An Evaluation of RGB-D Feature Encodings for Off-Road Scene Understanding by Convolutional Neural Network. - Christopher J. Holder; Toby P. Breckon; Xiong Wei 001 (CoRR, 2018)

Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery. - Grégoire Payen de La Garanderie; Amir Atapour Abarghouei; Toby P. Breckon (CoRR, 2018)

Watermark Retrieval from 3D Printed Objects via Convolutional Neural Networks. - Xin Zhang; Qian Wang 017; Toby P. Breckon; Ioannis P. Ivrissimtzis (CoRR, 2018)

A Baseline for Multi-Label Image Classification Using Ensemble Deep CNN. - Qian Wang 017; Ning Jia; Toby P. Breckon (CoRR, 2018)

Clustering in pursuit of temporal correlation for human motion segmentation. - Cheng Qian; Toby P. Breckon; Zezhong Xu (Multim. Tools Appl., 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)

To Complete or to Estimate, That is the Question: A Multi-Task Approach to Depth Completion and Monocular Depth Estimation. - Amir Atapour Abarghouei; Toby P. Breckon (3DV, 2019)

On the Use of Neural Text Generation for the Task of Optical Character Recognition. - Mahnaz Mohammadi; Sardar F. Jaf; Andrew Stephen McGough; Toby P. Breckon; Peter Matthews; Georgios Theodoropoulos 001; Boguslaw Obara (AICCSA, 2019)

Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach. - Amir Atapour Abarghouei; Toby P. Breckon (CVPR, 2019)

Style Augmentation: Data Augmentation via Style Randomization. - Philip T. G. Jackson; Amir Atapour Abarghouei; Stephen Bonner; Toby P. Breckon; Boguslaw Obara (CVPR Workshops, 2019)

Monocular Segment-Wise Depth: Monocular Depth Estimation Based on a Semantic Segmentation Prior. - Amir Atapour Abarghouei; Toby P. Breckon (ICIP, 2019)

A Ranking Based Attention Approach for Visual Tracking. - Shenhui Peng; Sei-ichiro Kamata; Toby P. Breckon (ICIP, 2019)

Degraf-Flow: Extending Degraf Features for Accurate and Efficient Sparse-To-Dense Optical Flow Estimation. - Felix Stephenson; Toby P. Breckon; Ioannis Katramados (ICIP, 2019)

A Baseline for Multi-Label Image Classification Using an Ensemble of Deep Convolutional Neural Networks. - Qian Wang 017; Ning Jia; Toby P. Breckon (ICIP, 2019)

Experimental Exploration of Compact Convolutional Neural Network Architectures for Non-Temporal Real-Time Fire Detection. - Ganesh Samarth C. A.; Neelanjan Bhowmik; Toby P. Breckon (ICMLA, 2019)

Region Based Anomaly Detection with Real-Time Training and Analysis. - Philip A. Adey; Oliver K. Hamilton; Magnus Bordewich; Toby P. Breckon (ICMLA, 2019)

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)

On the Performance of Extended Real-Time Object Detection and Attribute Estimation within Urban Scene Understanding. - Khalid N. Ismail; Toby P. Breckon (ICMLA, 2019)

Using Variable Natural Environment Brain-Computer Interface Stimuli for Real-time Humanoid Robot Navigation. - Nik Khadijah Nik Aznan; Jason D. Connolly; Noura Al Moubayed; Toby P. Breckon (ICRA, 2019)

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

Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification. - Nik Khadijah Nik Aznan; Amir Atapour Abarghouei; Stephen Bonner; Jason D. Connolly; Noura Al Moubayed; 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)

Unifying Unsupervised Domain Adaptation and Zero-Shot Visual Recognition. - Qian Wang 017; Penghui Bu; Toby P. Breckon (IJCNN, 2019)

An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening. - Qian Wang 017; Khalid N. Ismail; Toby P. Breckon (CoRR, 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)

The Good, the Bad and the Ugly: Evaluating Convolutional Neural Networks for Prohibited Item Detection Using Real and Synthetically Composited X-ray Imagery. - Neelanjan Bhowmik; Qian Wang 017; Yona Falinie A. Gaus; Marcin Szarek; Toby P. Breckon (CoRR, 2019)

Segmentation Guided Attention Network for Crowd Counting via Curriculum Learning. - Qian Wang 017; Toby P. Breckon (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)

Discrete Curvature Representations for Noise Robust Image Corner Detection. - Weichuan Zhang; Changming Sun; Toby P. Breckon; Naif Alshammari (IEEE Trans. Image Process., 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)

Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling. - Qian Wang 017; Toby P. Breckon (AAAI, 2020)

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)

Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection. - William Thomson; Neelanjan Bhowmik; Toby P. Breckon (ICMLA, 2020)

Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery. - Qian Wang 017; Neelanjan Bhowmik; Toby P. Breckon (ICMLA, 2020)

Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI. - Nik Khadijah Nik Aznan; Amir Atapour Abarghouei; Stephen Bonner; Jason D. Connolly; Toby P. Breckon (ICPR, 2020)

Not 3D Re-ID: Simple Single Stream 2D Convolution for Robust Video Re-identification. - Toby P. Breckon; Aishah Alsehaim (ICPR, 2020)

Multi-view Object Detection Using Epipolar Constraints within Cluttered X-ray Security Imagery. - Brian K. S. Isaac-Medina; Chris G. Willcocks; Toby P. Breckon (ICPR, 2020)

On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures. - Matt Poyser; Amir Atapour Abarghouei; Toby P. Breckon (ICPR, 2020)

Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional Loss. - William Prew; Toby P. Breckon; Magnus Bordewich; Ulrik R. Beierholm (ICPR, 2020)

Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery. - Hiroshi Sasaki 009; Chris G. Willcocks; Toby P. Breckon (ICPR, 2020)

On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery. - Qian Wang 017; Neelanjan Bhowmik; Toby P. Breckon (IJCNN, 2020)

A Reference Architecture for Plausible Threat Image Projection (TIP) Within 3D X-ray Computed Tomography Volumes. - Qian Wang 017; Najla Megherbi; Toby P. Breckon (CoRR, 2020)

Data Augmentation with norm-VAE for Unsupervised Domain Adaptation. - Qian Wang 017; Fanlin Meng; Toby P. Breckon (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)

DurLAR: A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications. - Li Li 092; Khalid N. Ismail; Hubert P. H. Shum; Toby P. Breckon (3DV, 2021)

Re-ID-AR: Improved Person Re-identification in Videovia Joint Weakly Supervised Action Recognition. - Aishah Alsehaim; Toby P. Breckon (BMVC, 2021)

Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark. - Brian K. S. Isaac-Medina; Matt Poyser; Daniel Organisciak; Chris G. Willcocks; Toby P. Breckon; Hubert P. H. Shum (ICCVW, 2021)

On the Impact of Using X-Ray Energy Response Imagery for Object Detection Via Convolutional Neural Networks. - Neelanjan Bhowmik; Yona Falinie A. Gaus; Toby P. Breckon (ICIP, 2021)

Source Class Selection With Label Propagation For Partial Domain Adaptation. - Qian Wang 017; Toby P. Breckon (ICIP, 2021)

Continuous Multi-modal Emotion Prediction in Video based on Recurrent Neural Network Variants with Attention. - Joyal Raju; Yona Falinie A. Gaus; Toby P. Breckon (ICMLA, 2021)

Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery. - Qian Wang 017; Toby P. Breckon (ICMLA, 2021)

Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray Imagery. - Thomas W. Webb; Neelanjan Bhowmik; Yona Falinie A. Gaus; Toby P. Breckon (ICMLA, 2021)

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

PANDA: Perceptually Aware Neural Detection of Anomalies. - Jack W. Barker; Toby P. Breckon (IJCNN, 2021)

On the Evaluation of Semi-Supervised 2D Segmentation for Volumetric 3D Computed Tomography Baggage Security Screening. - Qian Wang 017; 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)

UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models. - Hiroshi Sasaki 009; Chris G. Willcocks; Toby P. Breckon (CoRR, 2021)

UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-identification. - Daniel Organisciak; Brian K. S. Isaac-Medina; Matthew Poyser; Shanfeng Hu; Toby P. Breckon; Hubert P. H. Shum (CoRR, 2021)

Progressively Select and Reject Pseudo-labelled Samples for Open-Set Domain Adaptation. - Qian Wang 017; Fanlin Meng; Toby P. Breckon (CoRR, 2021)

Learning to Drive: End-to-End Off-Road Path Prediction. - Christopher J. Holder; Toby P. Breckon (IEEE Intell. Transp. Syst. Mag., 2021)

VID-Trans-ReID: Enhanced Video Transformers for Person Re-identification. - Aishah Alsehaim; Toby P. Breckon (BMVC, 2022)

Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery. - Neelanjan Bhowmik; Jack W. Barker; Yona Falinie A. Gaus; Toby P. Breckon (CVPR Workshops, 2022)

Cross-modal Image Synthesis within Dual-Energy X-ray Security Imagery. - Brian K. S. Isaac-Medina; Neelanjan Bhowmik; Chris G. Willcocks; Toby P. Breckon (CVPR Workshops, 2022)

Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes. - Sam Bond-Taylor; Peter Hessey; Hiroshi Sasaki 009; Toby P. Breckon; Chris G. Willcocks (ECCV (23), 2022)

Does lossy image compression affect racial bias within face recognition? - Seyma Yucer; Matt Poyser; Noura Al Moubayed; Toby P. Breckon (IJCB, 2022)

Joint Sub-component Level Segmentation and Classification for Anomaly Detection within Dual-Energy X-Ray Security Imagery. - Neelanjan Bhowmik; Toby P. Breckon (ICMLA, 2022)

On Depth Error from Spherical Camera Calibration within Omnidirectional Stereo Vision. - Michael Groom; Toby P. Breckon (ICPR, 2022)

Multi-view Vision Transformers for Object Detection. - Brian K. S. Isaac-Medina; Chris G. Willcocks; Toby P. Breckon (ICPR, 2022)

Evaluating Gaussian Grasp Maps for Generative Grasping Models. - William Prew; Toby P. Breckon; Magnus Bordewich; Ulrik R. Beierholm (IJCNN, 2022)

Semi-supervised Surface Anomaly Detection of Composite Wind Turbine Blades from Drone Imagery. - Jack W. Barker; Neelanjan Bhowmik; Toby P. Breckon (VISIGRAPP (4: VISAPP), 2022)

UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-identification in Video Imagery. - Daniel Organisciak; Matthew Poyser; Aishah Alsehaim; Shanfeng Hu; Brian K. S. Isaac-Medina; Toby P. Breckon; Hubert P. H. Shum (VISIGRAPP (4: VISAPP), 2022)

Measuring Hidden Bias within Face Recognition via Racial Phenotypes. - Seyma Yucer; Furkan Tektas; Noura Al Moubayed; Toby P. Breckon (WACV, 2022)

RangeUDF: Semantic Surface Reconstruction from 3D Point Clouds. - Bing Wang 013; Zhengdi Yu; Bo Yang 027; Jie Qin; Toby P. Breckon; Ling Shao 001; Niki Trigoni; Andrew Markham (CoRR, 2022)

On Fine-Tuned Deep Features for Unsupervised Domain Adaptation. - Qian Wang 017; Toby P. Breckon (CoRR, 2022)

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. - Benjamin Kiefer; Matej Kristan; Janez Pers; Lojze Zust; Fabio Poiesi; Fabio Augusto de Alcantara Andrade; Alexandre Bernardino; Matthew Dawkins; Jenni Raitoharju; Yitong Quan; Adem Atmaca; Timon Höfer; et al. (CoRR, 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)

Cross-domain structure preserving projection for heterogeneous domain adaptation. - Qian Wang 017; Toby P. Breckon (Pattern Recognit., 2022)

Crowd Counting via Segmentation Guided Attention Networks and Curriculum Loss. - Qian Wang 017; Toby P. Breckon (IEEE Trans. Intell. Transp. Syst., 2022)

Temporal and non-temporal contextual saliency analysis for generalized wide-area search within unmanned aerial vehicle (UAV) video. - Simon G. E. Gökstorp; Toby P. Breckon (Vis. Comput., 2022)

Region-based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery. - Yona Falinie A. Gaus; Neelanjan Bhowmik; Brian K. S. Isaac-Medina; Hubert P. H. Shum; Amir Atapour-Abarghouei; Toby P. Breckon (CVPR Workshops, 2023)

Exact-NeRF: An Exploration of a Precise Volumetric Parameterization for Neural Radiance Fields. - Brian K. S. Isaac-Medina; Chris G. Willcocks; Toby P. Breckon (CVPR, 2023)

Seeing Through the Data: A Statistical Evaluation of Prohibited Item Detection Benchmark Datasets for X-ray Security Screening. - Brian K. S. Isaac-Medina; Seyma Yucer; Neelanjan Bhowmik; Toby P. Breckon (CVPR Workshops, 2023)

Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation. - Li Li 092; Hubert P. H. Shum; Toby P. Breckon (CVPR, 2023)

ACR: Attention Collaboration-based Regressor for Arbitrary Two-Hand Reconstruction. - Zhengdi Yu; Shaoli Huang; Chen Fang; Toby P. Breckon; Jue Wang 001 (CVPR, 2023)

Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion using Transformers. - Abril Corona-Figueroa; Sam Bond-Taylor; Neelanjan Bhowmik; Yona Falinie A. Gaus; Toby P. Breckon; Hubert P. H. Shum; Chris G. Willcocks (ICCV, 2023)

On Fine-Tuned Deep Features for Unsupervised Domain Adaptation. - Qian Wang 017; Fanlin Meng; Toby P. Breckon (IJCNN, 2023)

Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption. - Jack W. Barker; Neelanjan Bhowmik; Yona Falinie A. Gaus; Toby P. Breckon (VISIGRAPP (5: VISAPP), 2023)

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. - Benjamin Kiefer; Matej Kristan; Janez Pers; Lojze Zust; Fabio Poiesi; Fabio Augusto de Alcantara Andrade; Alexandre Bernardino; Matthew Dawkins; Jenni Raitoharju; Yitong Quan; Adem Atmaca; Timon Höfer; et al. (WACV (Workshops), 2023)

On Pixel-level Performance Assessment in Anomaly Detection. - Mehdi Rafiei; Toby P. Breckon; Alexandros Iosifidis (CoRR, 2023)

Generalized zero-shot domain adaptation via coupled conditional variational autoencoders. - Qian Wang 017; Toby P. Breckon (Neural Networks, 2023)

Data augmentation with norm-AE and selective pseudo-labelling for unsupervised domain adaptation. - Qian Wang 017; Fanlin Meng; Toby P. Breckon (Neural Networks, 2023)

TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training. - Li Li 092; Tanqiu Qiao; Hubert P. H. Shum; Toby P. Breckon (BMVC, 2024)

Performance Evaluation of Segment Anything Model with Variational Prompting for Application to Non-Visible Spectrum Imagery. - Yona Falinie A. Gaus; Neelanjan Bhowmik; Brian K. S. Isaac-Medina; Toby P. Breckon (CVPR Workshops, 2024)

Towards Open-World Object-Based Anomaly Detection via Self-Supervised Outlier Synthesis. - Brian K. S. Isaac-Medina; Yona Falinie A. Gaus; Neelanjan Bhowmik; Toby P. Breckon (ECCV (71), 2024)

RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation. - Li Li 092; Hubert P. H. Shum; Toby P. Breckon (ECCV (7), 2024)

Superpixel-based Anomaly Detection for Irregular Textures with a Focus on Pixel-level Accuracy. - Mehdi Rafiei; Toby P. Breckon; Alexandros Iosifidis (IJCNN, 2024)

Disentangling Racial Phenotypes: Fine-Grained Control of Race-related Facial Phenotype Characteristics. - Seyma Yucer; Amir Atapour Abarghouei; Noura Al Moubayed; Toby P. Breckon (IJCNN, 2024)

U3DS3: Unsupervised 3D Semantic Scene Segmentation. - Jiaxu Liu 002; Zhengdi Yu; Toby P. Breckon; Hubert P. H. Shum (WACV, 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)

Neural architecture search: A contemporary literature review for computer vision applications. - Matt Poyser; Toby P. Breckon (Pattern Recognit., 2024)

Progressively Select and Reject Pseudolabeled Samples for Open-Set Domain Adaptation. - Qian Wang 017; Fanlin Meng; Toby P. Breckon (IEEE Trans. Artif. Intell., 2024)

Semi-supervised Object-Wise Anomaly Detection for Firearm and Firearm Component Detection in X-ray Security Imagery. - Yona Falinie A. Gaus; Brian K. S. Isaac-Medina; Neelanjan Bhowmik; Yam T. Lee; Toby P. Breckon (CVPR Workshops, 2025)

Dur360BEV: A Real-world 360-degree Single Camera Dataset and Benchmark for Bird-Eye View Mapping in Autonomous Driving. - Wenke E; Chao Yuan; Li Li 092; Yixin Sun; Yona Falinie A. Gaus; Amir Atapour-Abarghouei; Toby P. Breckon (CoRR, 2025)

TFDM: Time-Variant Frequency-Based Point Cloud Diffusion with Mamba. - Jiaxu Liu 002; Li Li 092; Hubert P. H. Shum; Toby P. Breckon (CoRR, 2025)

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection. - Brian K. S. Isaac-Medina; Toby P. Breckon (CoRR, 2025)

Racial Bias within Face Recognition: A Survey. - Seyma Yucer; Furkan Tektas; Noura Al Moubayed; Toby P. Breckon (ACM Comput. Surv., 2025)

TOMD: A Trail-based Off-road Multimodal Dataset for Traversable Pathway Segmentation under Challenging Illumination Conditions. - Yixin Sun; Li Li 092; Wenke E; Amir Atapour-Abarghouei; Toby P. Breckon (CoRR, 2025)

DDS-NAS: Dynamic data selection within neural architecture search via on-line hard example mining applied to image classification. - Matt Poyser; Toby P. Breckon (Pattern Recognit., 2026)