Toby P. Breckon
Orcid: 0000-0003-1666-7590
According to our database1,
Toby P. Breckon
authored at least 168 papers
between 2004 and 2024.
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Bibliography
2024
Progressively Select and Reject Pseudolabeled Samples for Open-Set Domain Adaptation.
IEEE Trans. Artif. Intell., September, 2024
Neural architecture search: A contemporary literature review for computer vision applications.
Pattern Recognit., March, 2024
TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training.
CoRR, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Disentangling Racial Phenotypes: Fine-Grained Control of Race-related Facial Phenotype Characteristics.
Proceedings of the International Joint Conference on Neural Networks, 2024
Superpixel-based Anomaly Detection for Irregular Textures with a Focus on Pixel-level Accuracy.
Proceedings of the International Joint Conference on Neural Networks, 2024
RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation.
Proceedings of the Computer Vision - ECCV 2024, 2024
Towards Open-World Object-Based Anomaly Detection via Self-Supervised Outlier Synthesis.
Proceedings of the Computer Vision - ECCV 2024, 2024
Performance Evaluation of Segment Anything Model with Variational Prompting for Application to Non-Visible Spectrum Imagery.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Data augmentation with norm-AE and selective pseudo-labelling for unsupervised domain adaptation.
Neural Networks, April, 2023
Generalized zero-shot domain adaptation via coupled conditional variational autoencoders.
Neural Networks, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023
Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption.
Proceedings of the 18th International Joint Conference on Computer Vision, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion using Transformers.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Seeing Through the Data: A Statistical Evaluation of Prohibited Item Detection Benchmark Datasets for X-ray Security Screening.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Exact-NeRF: An Exploration of a Precise Volumetric Parameterization for Neural Radiance Fields.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Region-based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Temporal and non-temporal contextual saliency analysis for generalized wide-area search within unmanned aerial vehicle (UAV) video.
Vis. Comput., 2022
IEEE Trans. Intell. Transp. Syst., 2022
Pattern Recognit., 2022
Towards automatic threat detection: A survey of advances of deep learning within X-ray security imaging.
Pattern Recognit., 2022
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
Proceedings of the 17th International Joint Conference on Computer Vision, 2022
Semi-supervised Surface Anomaly Detection of Composite Wind Turbine Blades from Drone Imagery.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
On Depth Error from Spherical Camera Calibration within Omnidirectional Stereo Vision.
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Joint Sub-component Level Segmentation and Classification for Anomaly Detection within Dual-Energy X-Ray Security Imagery.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Proceedings of the IEEE International Joint Conference on Biometrics, 2022
Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes.
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
2021
IEEE Intell. Transp. Syst. Mag., 2021
Progressively Select and Reject Pseudo-labelled Samples for Open-Set Domain Adaptation.
CoRR, 2021
CoRR, 2021
Multi-Modal Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021
Competitive Simplicity for Multi-Task Learning for Real-Time Foggy Scene Understanding via Domain Adaptation.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021
On the Evaluation of Semi-Supervised 2D Segmentation for Volumetric 3D Computed Tomography Baggage Security Screening.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray Imagery.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
Continuous Multi-modal Emotion Prediction in Video based on Recurrent Neural Network Variants with Attention.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
On the Impact of Using X-Ray Energy Response Imagery for Object Detection Via Convolutional Neural Networks.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
Re-ID-AR: Improved Person Re-identification in Videovia Joint Weakly Supervised Action Recognition.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
DurLAR: A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications.
Proceedings of the International Conference on 3D Vision, 2021
2020
Multi-Model Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation.
CoRR, 2020
A Reference Architecture for Plausible Threat Image Projection (TIP) Within 3D X-ray Computed Tomography Volumes.
CoRR, 2020
On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional Loss.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Multi-view Object Detection Using Epipolar Constraints within Cluttered X-ray Security Imagery.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Not 3D Re-ID: Simple Single Stream 2D Convolution for Robust Video Re-identification.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments [dataset].
Dataset, July, 2019
IEEE Trans. Image Process., 2019
Multi-Task Regression-Based Learning for Autonomous Unmanned Aerial Vehicle Flight Control Within Unstructured Outdoor Environments.
IEEE Robotics Autom. Lett., 2019
Generative adversarial framework for depth filling via Wasserstein metric, cosine transform and domain transfer.
Pattern Recognit., 2019
Online Deep Reinforcement Learning for Autonomous UAV Navigation and Exploration of Outdoor Environments.
CoRR, 2019
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.
CoRR, 2019
Multi-Task Learning for Automotive Foggy Scene Understanding via Domain Adaptation to an Illumination-Invariant Representation.
CoRR, 2019
An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening.
CoRR, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery.
Proceedings of the International Joint Conference on Neural Networks, 2019
Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification.
Proceedings of the International Joint Conference on Neural Networks, 2019
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection.
Proceedings of the International Joint Conference on Neural Networks, 2019
Using Variable Natural Environment Brain-Computer Interface Stimuli for Real-time Humanoid Robot Navigation.
Proceedings of the International Conference on Robotics and Automation, 2019
On the Performance of Extended Real-Time Object Detection and Attribute Estimation within Urban Scene Understanding.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
On the Impact of Object and Sub-Component Level Segmentation Strategies for Supervised Anomaly Detection within X-Ray Security Imagery.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Experimental Exploration of Compact Convolutional Neural Network Architectures for Non-Temporal Real-Time Fire Detection.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
A Baseline for Multi-Label Image Classification Using an Ensemble of Deep Convolutional Neural Networks.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Degraf-Flow: Extending Degraf Features for Accurate and Efficient Sparse-To-Dense Optical Flow Estimation.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Monocular Segment-Wise Depth: Monocular Depth Estimation Based on a Semantic Segmentation Prior.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the 16th IEEE/ACS International Conference on Computer Systems and Applications, 2019
To Complete or to Estimate, That is the Question: A Multi-Task Approach to Depth Completion and Monocular Depth Estimation.
Proceedings of the 2019 International Conference on 3D Vision, 2019
2018
Using Deep Convolutional Neural Network Architectures for Object Classification and Detection Within X-Ray Baggage Security Imagery.
IEEE Trans. Inf. Forensics Secur., 2018
Multim. Tools Appl., 2018
CoRR, 2018
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery.
CoRR, 2018
Depth Not Needed - An Evaluation of RGB-D Feature Encodings for Off-Road Scene Understanding by Convolutional Neural Network.
CoRR, 2018
A comparative review of plausible hole filling strategies in the context of scene depth image completion.
Comput. Graph., 2018
Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation Within the Forest Canopy.
Proceedings of the Towards Autonomous Robotic Systems - 19th Annual Conference, 2018
On the Classification of SSVEP-Based Dry-EEG Signals via Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Learning to Drive: Using Visual Odometry to Bootstrap Deep Learning for Off-Road Path Prediction.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018
On the Impact of Illumination-Invariant Image Pre-transformation for Contemporary Automotive Semantic Scene Understanding.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018
On the Impact of Varying Region Proposal Strategies for Raindrop Detection and Classification Using Convolutional Neural Networks.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Experimentally Defined Convolutional Neural Network Architecture Variants for Non-Temporal Real-Time Fire Detection.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018
Encoding Stereoscopic Depth Features for Scene Understanding in off-Road Environments.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018
Extended Patch Prioritization for Depth Filling Within Constrained Exemplar-Based RGB-D Image Completion.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360 ^\circ ∘ Panoramic Imagery.
Proceedings of the Computer Vision - ECCV 2018, 2018
On the Impact of Parallax Free Colour and Infrared Image Co-Registration to Fused Illumination Invariant Adaptive Background Modelling.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018
Real-Time Monocular Depth Estimation Using Synthetic Data With Domain Adaptation via Image Style Transfer.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Author Profiling: Gender Prediction from Tweets and Images: Notebook for PAN at CLEF 2018.
Proceedings of the Working Notes of CLEF 2018, 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Proceedings of the Computer Vision - ACCV 2018, 2018
2017
Noise robust image edge detection based upon the automatic anisotropic Gaussian kernels.
Pattern Recognit., 2017
An evaluation of region based object detection strategies within X-ray baggage security imagery.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
DepthComp: Real-time Depth Image Completion Based on Prior Semantic Scene Segmentation.
Proceedings of the British Machine Vision Conference 2017, 2017
2016
Back to Butterworth - a Fourier basis for 3D surface relief hole filling within RGB-D imagery.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Dense gradient-based features (DEGRAF) for computationally efficient and invariant feature extraction in real-time applications.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Generalized dynamic object removal for dense stereo vision based scene mapping using synthesised optical flow.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Transfer learning using convolutional neural networks for object classification within X-ray baggage security imagery.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
On using feature descriptors as visual words for object detection within X-ray baggage security screening.
Proceedings of the 7th International Conference on Imaging for Crime Detection and Prevention, 2016
SMS Spam Filtering Using Probabilistic Topic Modelling and Stacked Denoising Autoencoder.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016
From On-Road to Off: Transfer Learning Within a Deep Convolutional Neural Network for Segmentation and Classification of Off-Road Scenes.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016
2015
Quantitative Evaluation of Stereo Visual Odometry for Autonomous Vessel Localisation in Inland Waterway Sensing Applications.
Sensors, 2015
Materials-based 3D segmentation of unknown objects from dual-energy computed tomography imagery in baggage security screening.
Pattern Recognit., 2015
Object classification in 3D baggage security computed tomography imagery using visual codebooks.
Pattern Recognit., 2015
J. Electronic Imaging, 2015
Improved raindrop detection using combined shape and saliency descriptors with scene context isolation.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Improved 3D sparse maps for high-performance SFM with low-cost omnidirectional robots.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
2014
3D object classification in baggage computed tomography imagery using randomised clustering forests.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Improved Depth Recovery In Consumer Depth Cameras via Disparity Space Fusion within Cross-spectral Stereo.
Proceedings of the British Machine Vision Conference, 2014
2013
Cross-spectral visual simultaneous localization and mapping (SLAM) with sensor handover.
Robotics Auton. Syst., 2013
A comparison of 3D interest point descriptors with application to airport baggage object detection in complex CT imagery.
Pattern Recognit., 2013
Proceedings of the 14th International Workshop on Image Analysis for Multimedia Interactive Services, 2013
Proceedings of the IEEE International Conference on Image Processing, 2013
A foreground object based quantitative assessment of dense stereo approaches for use in automotive environments.
Proceedings of the IEEE International Conference on Image Processing, 2013
Wiley, ISBN: 978-1-119-94186-6, 2013
2012
Pattern Recognit., 2012
Mach. Vis. Appl., 2012
The application of support vector machine classification to detect cell nuclei for automated microscopy.
Mach. Vis. Appl., 2012
An empirical comparison of real-time dense stereo approaches for use in the automotive environment.
EURASIP J. Image Video Process., 2012
Fully automatic 3D Threat Image Projection: Application to densely cluttered 3D Computed Tomography baggage images.
Proceedings of the 3rd International Conference on Image Processing Theory Tools and Applications, 2012
A novel intensity limiting approach to Metal Artefact Reduction in 3D CT baggage imagery.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012
A comparison of classification approaches for threat detection in CT based baggage screening.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
Proceedings of the British Machine Vision Conference, 2012
2011
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
Proceedings of the Intelligent Robots and Computer Vision XXVIII: Algorithms and Techniques, 2011
2010
A classifier based approach for the detection of potential threats in CT based Baggage Screening.
Proceedings of the International Conference on Image Processing, 2010
Proceedings of the British Machine Vision Conference, 2010
2009
Real-Time Traversable Surface Detection by Colour Space Fusion and Temporal Analysis.
Proceedings of the Computer Vision Systems, 2009
2008
IEEE Trans. Pattern Anal. Mach. Intell., 2008
2005
Proceedings of the Mathematics of Surfaces XI, 2005
Proceedings of the Fifth International Conference on 3D Digital Imaging and Modeling (3DIM 2005), 2005
2004
Proceedings of the Image Analysis and Recognition: International Conference, 2004