Toby P. Breckon

233 papers A* 10A 9B 50C 15Journal 112Unranked 36

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DDS-NAS: Dynamic data selection within neural architecture search via on-line hard example mining applied to image classification. Pattern Recognit. Matt Poyser, Toby P. Breckon
2026	J	`jnl`	EEG-Driven Intention Decoding: Offline Deep Learning Benchmarking on a Robotic Rover. CoRR Ghadah Alosaimi, Maha Alsayyari, Yixin Sun, Stamos Katsigiannis, Amir Atapour-Abarghouei, Toby P. Breckon
2025	J	`jnl`	DDS-NAS: Dynamic Data Selection within Neural Architecture Search via On-line Hard Example Mining applied to Image Classification. CoRR Matt Poyser, Toby P. Breckon
2025	J	`jnl`	Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection. CoRR Brian K. S. Isaac-Medina, Toby P. Breckon
2025	A*	`conf`	Dur360BEV: A Real-World 360-Degree Single Camera Dataset and Benchmark for Bird-Eye View Mapping in Autonomous Driving. ICRA Wenke E, Chao Yuan, Li Li, Yixin Sun, Yona Falinie A. Gaus, Amir Atapour-Abarghouei, Toby P. Breckon
2025	J	`jnl`	Dur360BEV: A Real-world 360-degree Single Camera Dataset and Benchmark for Bird-Eye View Mapping in Autonomous Driving. CoRR Wenke E, Chao Yuan, Li Li, Yixin Sun, Yona Falinie A. Gaus, Amir Atapour-Abarghouei, Toby P. Breckon
2025	J	`jnl`	KD360-VoxelBEV: LiDAR and 360-degree Camera Cross Modality Knowledge Distillation for Bird's-Eye-View Segmentation. CoRR Wenke E, Yixin Sun, Jiaxu Liu, Hubert P. H. Shum, Amir Atapour-Abarghouei, Toby P. Breckon
2025	J	`jnl`	Racial Bias within Face Recognition: A Survey. ACM Comput. Surv. Seyma Yucer, Furkan Tektas, Noura Al Moubayed, Toby P. Breckon
2025	—	`conf`	Semi-supervised Object-Wise Anomaly Detection for Firearm and Firearm Component Detection in X-ray Security Imagery. CVPR Workshops Yona Falinie A. Gaus, Brian K. S. Isaac-Medina, Neelanjan Bhowmik, Yam T. Lee, Toby P. Breckon
2025	J	`jnl`	TFDM: Time-Variant Frequency-Based Point Cloud Diffusion with Mamba. CoRR Jiaxu Liu, Li Li, Hubert P. H. Shum, Toby P. Breckon
2025	B	`conf`	TOMD: A Trail-based Off-road Multimodal Dataset for Traversable Pathway Segmentation under Challenging Illumination Conditions. IJCNN Yixin Sun, Li Li, Wenke E, Amir Atapour-Abarghouei, Toby P. Breckon
2025	J	`jnl`	TOMD: A Trail-based Off-road Multimodal Dataset for Traversable Pathway Segmentation under Challenging Illumination Conditions. CoRR Yixin Sun, Li Li, Wenke E, Amir Atapour-Abarghouei, Toby P. Breckon
2024	B	`conf`	Disentangling Racial Phenotypes: Fine-Grained Control of Race-related Facial Phenotype Characteristics. IJCNN Seyma Yucer, Amir Atapour Abarghouei, Noura Al Moubayed, Toby P. Breckon
2024	J	`jnl`	Disentangling Racial Phenotypes: Fine-Grained Control of Race-related Facial Phenotype Characteristics. CoRR Seyma Yucer, Amir Atapour Abarghouei, Noura Al Moubayed, Toby P. Breckon
2024	J	`jnl`	DurLAR: A High-fidelity 128-channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-modal Autonomous Driving Applications. CoRR Li Li, Khalid N. Ismail, Hubert P. H. Shum, Toby P. Breckon
2024	J	`jnl`	FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection. CoRR Brian K. S. Isaac-Medina, Mauricio Che, Yona Falinie Binti A. Gaus, Samet Akcay, Toby P. Breckon
2024	J	`jnl`	Neural architecture search: A contemporary literature review for computer vision applications. Pattern Recognit. Matt Poyser, Toby P. Breckon
2024	—	`conf`	Performance Evaluation of Segment Anything Model with Variational Prompting for Application to Non-Visible Spectrum Imagery. CVPR Workshops Yona Falinie A. Gaus, Neelanjan Bhowmik, Brian K. S. Isaac-Medina, Toby P. Breckon
2024	J	`jnl`	Performance Evaluation of Segment Anything Model with Variational Prompting for Application to Non-Visible Spectrum Imagery. CoRR Yona Falinie A. Gaus, Neelanjan Bhowmik, Brian K. S. Isaac-Medina, Toby P. Breckon
2024	J	`jnl`	Progressively Select and Reject Pseudolabeled Samples for Open-Set Domain Adaptation. IEEE Trans. Artif. Intell. Qian Wang, Fanlin Meng, Toby P. Breckon
2024	—	`conf`	RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation. ECCV (7) Li Li, Hubert P. H. Shum, Toby P. Breckon
2024	J	`jnl`	RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation. CoRR Li Li, Hubert P. H. Shum, Toby P. Breckon
2024	B	`conf`	Superpixel-based Anomaly Detection for Irregular Textures with a Focus on Pixel-level Accuracy. IJCNN Mehdi Rafiei, Toby P. Breckon, Alexandros Iosifidis
2024	—	`conf`	Towards Open-World Object-Based Anomaly Detection via Self-Supervised Outlier Synthesis. ECCV (71) Brian K. S. Isaac-Medina, Yona Falinie A. Gaus, Neelanjan Bhowmik, Toby P. Breckon
2024	J	`jnl`	Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis. CoRR Brian K. S. Isaac-Medina, Yona Falinie A. Gaus, Neelanjan Bhowmik, Toby P. Breckon
2024	A	`conf`	TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training. BMVC Li Li, Tanqiu Qiao, Hubert P. H. Shum, Toby P. Breckon
2024	J	`jnl`	TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training. CoRR Li Li, Tanqiu Qiao, Hubert P. H. Shum, Toby P. Breckon
2024	A	`conf`	U3DS WACV Jiaxu Liu, Zhengdi Yu, Toby P. Breckon, Hubert P. H. Shum
2023	—	`conf`	1 WACV (Workshops) 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, Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao, Lars Sommer, Raphael Spraul, Hangyue Zhao, Hongpu Zhang, Yanyun Zhao, Jan Lukas Augustin, Eui-ik Jeon, Impyeong Lee, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Sagar Verma, Siddharth Gupta, Shishir Muralidhara, Niharika Hegde, Daitao Xing, Nikolaos Evangeliou, Anthony Tzes, Vojtech Bartl, Jakub Spanhel, Adam Herout, Neelanjan Bhowmik, Toby P. Breckon, Shivanand Kundargi, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudengudi, Arpita Vats, Yang Song, Delong Liu, Yonglin Li, Shuman Li, Chenhao Tan, Long Lan, Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi, Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Kyoungoh Lee, Shuai Jiang, Haiwen Li, Ziqiang Zheng, Tuan-Anh Vu, Hai Nguyen-Truong, Sai-Kit Yeung, Zhuang Jia, Sophia Yang, Chih-Chung Hsu, Xiu-Yu Hou, Yu-An Jhang, Simon Yang, Mau-Tsuen Yang
2023	A*	`conf`	ACR: Attention Collaboration-based Regressor for Arbitrary Two-Hand Reconstruction. CVPR Zhengdi Yu, Shaoli Huang, Chen Fang, Toby P. Breckon, Jue Wang
2023	J	`jnl`	ACR: Attention Collaboration-based Regressor for Arbitrary Two-Hand Reconstruction. CoRR Zhengdi Yu, Shaoli Huang, Chen Fang, Toby P. Breckon, Jue Wang
2023	J	`jnl`	Data augmentation with norm-AE and selective pseudo-labelling for unsupervised domain adaptation. Neural Networks Qian Wang, Fanlin Meng, Toby P. Breckon
2023	A*	`conf`	Exact-NeRF: An Exploration of a Precise Volumetric Parameterization for Neural Radiance Fields. CVPR Brian K. S. Isaac-Medina, Chris G. Willcocks, Toby P. Breckon
2023	J	`jnl`	Generalized zero-shot domain adaptation via coupled conditional variational autoencoders. Neural Networks Qian Wang, Toby P. Breckon
2023	A*	`conf`	Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation. CVPR Li Li, Hubert P. H. Shum, Toby P. Breckon
2023	J	`jnl`	Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation. CoRR Li Li, Hubert P. H. Shum, Toby P. Breckon
2023	B	`conf`	On Fine-Tuned Deep Features for Unsupervised Domain Adaptation. IJCNN Qian Wang, Fanlin Meng, Toby P. Breckon
2023	J	`jnl`	On Pixel-level Performance Assessment in Anomaly Detection. CoRR Mehdi Rafiei, Toby P. Breckon, Alexandros Iosifidis
2023	J	`jnl`	Racial Bias within Face Recognition: A Survey. CoRR Seyma Yucer, Furkan Tektas, Noura Al Moubayed, Toby P. Breckon
2023	—	`conf`	Region-based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery. CVPR Workshops Yona Falinie A. Gaus, Neelanjan Bhowmik, Brian K. S. Isaac-Medina, Hubert P. H. Shum, Amir Atapour-Abarghouei, Toby P. Breckon
2023	—	`conf`	Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption. VISIGRAPP (5: VISAPP) Jack W. Barker, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon
2023	J	`jnl`	Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption. CoRR Jack W. Barker, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon
2023	—	`conf`	Seeing Through the Data: A Statistical Evaluation of Prohibited Item Detection Benchmark Datasets for X-ray Security Screening. CVPR Workshops Brian K. S. Isaac-Medina, Seyma Yucer, Neelanjan Bhowmik, Toby P. Breckon
2023	J	`jnl`	U3DS CoRR Jiaxu Liu, Zhengdi Yu, Toby P. Breckon, Hubert P. H. Shum
2023	A*	`conf`	Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion using Transformers. ICCV Abril Corona-Figueroa, Sam Bond-Taylor, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon, Hubert P. H. Shum, Chris G. Willcocks
2023	J	`jnl`	Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion using Transformers. CoRR Abril Corona-Figueroa, Sam Bond-Taylor, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon, Hubert P. H. Shum, Chris G. Willcocks
2022	J	`jnl`	1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. CoRR 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, Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao, Lars Sommer, Raphael Spraul, Hangyue Zhao, Hongpu Zhang, Yanyun Zhao, Jan Lukas Augustin, Eui-ik Jeon, Impyeong Lee, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Sagar Verma, Siddharth Gupta, Shishir Muralidhara, Niharika Hegde, Daitao Xing, Nikolaos Evangeliou, Anthony Tzes, Vojtech Bartl, Jakub Spanhel, Adam Herout, Neelanjan Bhowmik, Toby P. Breckon, Shivanand Kundargi, Tejas Anvekar, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudengudi, Arpita Vats, Yang Song, Delong Liu, Yonglin Li, Shuman Li, Chenhao Tan, Long Lan, Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi, Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Kyoungoh Lee, Shuai Jiang, Haiwen Li, Ziqiang Zheng, Tuan-Anh Vu, Hai Nguyen-Truong, Sai-Kit Yeung, Zhuang Jia, Sophia Yang, Chih-Chung Hsu, Xiu-Yu Hou, Yu-An Jhang, Simon Yang, Mau-Tsuen Yang
2022	J	`jnl`	Cross-domain structure preserving projection for heterogeneous domain adaptation. Pattern Recognit. Qian Wang, Toby P. Breckon
2022	—	`conf`	Cross-modal Image Synthesis within Dual-Energy X-ray Security Imagery. CVPR Workshops Brian K. S. Isaac-Medina, Neelanjan Bhowmik, Chris G. Willcocks, Toby P. Breckon
2022	J	`jnl`	Crowd Counting via Segmentation Guided Attention Networks and Curriculum Loss. IEEE Trans. Intell. Transp. Syst. Qian Wang, Toby P. Breckon
2022	B	`conf`	Does lossy image compression affect racial bias within face recognition? IJCB Seyma Yucer, Matt Poyser, Noura Al Moubayed, Toby P. Breckon
2022	J	`jnl`	Does lossy image compression affect racial bias within face recognition? CoRR Seyma Yucer, Matt Poyser, Noura Al Moubayed, Toby P. Breckon
2022	B	`conf`	Evaluating Gaussian Grasp Maps for Generative Grasping Models. IJCNN William Prew, Toby P. Breckon, Magnus Bordewich, Ulrik R. Beierholm
2022	J	`jnl`	Evaluating Gaussian Grasp Maps for Generative Grasping Models. CoRR William Prew, Toby P. Breckon, Magnus Bordewich, Ulrik R. Beierholm
2022	J	`jnl`	Exact-NeRF: An Exploration of a Precise Volumetric Parameterization for Neural Radiance Fields. CoRR Brian K. S. Isaac-Medina, Chris G. Willcocks, Toby P. Breckon
2022	C	`conf`	Joint Sub-component Level Segmentation and Classification for Anomaly Detection within Dual-Energy X-Ray Security Imagery. ICMLA Neelanjan Bhowmik, Toby P. Breckon
2022	J	`jnl`	Joint Sub-component Level Segmentation and Classification for Anomaly Detection within Dual-Energy X-Ray Security Imagery. CoRR Neelanjan Bhowmik, Toby P. Breckon
2022	—	`conf`	Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery. CVPR Workshops Neelanjan Bhowmik, Jack W. Barker, Yona Falinie A. Gaus, Toby P. Breckon
2022	J	`jnl`	Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery. CoRR Neelanjan Bhowmik, Jack W. Barker, Yona Falinie A. Gaus, Toby P. Breckon
2022	A	`conf`	Measuring Hidden Bias within Face Recognition via Racial Phenotypes. WACV Seyma Yucer, Furkan Tektas, Noura Al Moubayed, Toby P. Breckon
2022	B	`conf`	Multi-view Vision Transformers for Object Detection. ICPR Brian K. S. Isaac-Medina, Chris G. Willcocks, Toby P. Breckon
2022	B	`conf`	On Depth Error from Spherical Camera Calibration within Omnidirectional Stereo Vision. ICPR Michael Groom, Toby P. Breckon
2022	J	`jnl`	On Fine-Tuned Deep Features for Unsupervised Domain Adaptation. CoRR Qian Wang, Toby P. Breckon
2022	J	`jnl`	RangeUDF: Semantic Surface Reconstruction from 3D Point Clouds. CoRR Bing Wang, Zhengdi Yu, Bo Yang, Jie Qin, Toby P. Breckon, Ling Shao, Niki Trigoni, Andrew Markham
2022	—	`conf`	Semi-supervised Surface Anomaly Detection of Composite Wind Turbine Blades from Drone Imagery. VISIGRAPP (4: VISAPP) Jack W. Barker, Neelanjan Bhowmik, Toby P. Breckon
2022	J	`jnl`	Temporal and non-temporal contextual saliency analysis for generalized wide-area search within unmanned aerial vehicle (UAV) video. Vis. Comput. Simon G. E. Gökstorp, Toby P. Breckon
2022	J	`jnl`	Towards automatic threat detection: A survey of advances of deep learning within X-ray security imaging. Pattern Recognit. Samet Akcay, Toby P. Breckon
2022	—	`conf`	UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-identification in Video Imagery. VISIGRAPP (4: VISAPP) Daniel Organisciak, Matthew Poyser, Aishah Alsehaim, Shanfeng Hu, Brian K. S. Isaac-Medina, Toby P. Breckon, Hubert P. H. Shum
2022	—	`conf`	Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes. ECCV (23) Sam Bond-Taylor, Peter Hessey, Hiroshi Sasaki, Toby P. Breckon, Chris G. Willcocks
2022	A	`conf`	VID-Trans-ReID: Enhanced Video Transformers for Person Re-identification. BMVC Aishah Alsehaim, Toby P. Breckon
2021	B	`conf`	Autoencoders Without Reconstruction for Textural Anomaly Detection. IJCNN Philip A. Adey, Samet Akçay, Magnus Bordewich, Toby P. Breckon
2021	C	`conf`	Competitive Simplicity for Multi-Task Learning for Real-Time Foggy Scene Understanding via Domain Adaptation. IV Naif Alshammari, Samet Akcay, Toby P. Breckon
2021	C	`conf`	Continuous Multi-modal Emotion Prediction in Video based on Recurrent Neural Network Variants with Attention. ICMLA Joyal Raju, Yona Falinie A. Gaus, Toby P. Breckon
2021	C	`conf`	Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery. ICMLA Qian Wang, Toby P. Breckon
2021	—	`conf`	DurLAR: A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications. 3DV Li Li, Khalid N. Ismail, Hubert P. H. Shum, Toby P. Breckon
2021	J	`jnl`	Learning to Drive: End-to-End Off-Road Path Prediction. IEEE Intell. Transp. Syst. Mag. Christopher J. Holder, Toby P. Breckon
2021	J	`jnl`	Measuring Hidden Bias within Face Recognition via Racial Phenotypes. CoRR Seyma Yucer, Furkan Tektas, Noura Al Moubayed, Toby P. Breckon
2021	C	`conf`	Multi-Modal Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation. IV Naif Alshammari, Samet Akcay, Toby P. Breckon
2021	B	`conf`	On the Evaluation of Semi-Supervised 2D Segmentation for Volumetric 3D Computed Tomography Baggage Security Screening. IJCNN Qian Wang, Toby P. Breckon
2021	B	`conf`	On the Impact of Using X-Ray Energy Response Imagery for Object Detection Via Convolutional Neural Networks. ICIP Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon
2021	J	`jnl`	On the impact of using X-ray energy response imagery for object detection via Convolutional Neural Networks. CoRR Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon
2021	C	`conf`	Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray Imagery. ICMLA Thomas W. Webb, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon
2021	J	`jnl`	Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray Imagery. CoRR Thomas W. Webb, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon
2021	J	`jnl`	PANDA : Perceptually Aware Neural Detection of Anomalies. CoRR Jack W. Barker, Toby P. Breckon
2021	B	`conf`	PANDA: Perceptually Aware Neural Detection of Anomalies. IJCNN Jack W. Barker, Toby P. Breckon
2021	J	`jnl`	Progressively Select and Reject Pseudo-labelled Samples for Open-Set Domain Adaptation. CoRR Qian Wang, Fanlin Meng, Toby P. Breckon
2021	A	`conf`	Re-ID-AR: Improved Person Re-identification in Videovia Joint Weakly Supervised Action Recognition. BMVC Aishah Alsehaim, Toby P. Breckon
2021	J	`jnl`	Semi-Supervised Surface Anomaly Detection of Composite Wind Turbine Blades From Drone Imagery. CoRR Jack W. Barker, Neelanjan Bhowmik, Toby P. Breckon
2021	B	`conf`	Source Class Selection With Label Propagation For Partial Domain Adaptation. ICIP Qian Wang, Toby P. Breckon
2021	J	`jnl`	UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-identification. CoRR Daniel Organisciak, Brian K. S. Isaac-Medina, Matthew Poyser, Shanfeng Hu, Toby P. Breckon, Hubert P. H. Shum
2021	J	`jnl`	UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models. CoRR Hiroshi Sasaki, Chris G. Willcocks, Toby P. Breckon
2021	J	`jnl`	Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes. CoRR Sam Bond-Taylor, Peter Hessey, Hiroshi Sasaki, Toby P. Breckon, Chris G. Willcocks
2021	—	`conf`	Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark. ICCVW Brian K. S. Isaac-Medina, Matt Poyser, Daniel Organisciak, Chris G. Willcocks, Toby P. Breckon, Hubert P. H. Shum
2021	J	`jnl`	Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark. CoRR Brian K. S. Isaac-Medina, Matt Poyser, Daniel Organisciak, Chris G. Willcocks, Toby P. Breckon, Hubert P. H. Shum
2020	J	`jnl`	A Reference Architecture for Plausible Threat Image Projection (TIP) Within 3D X-ray Computed Tomography Volumes. CoRR Qian Wang, Najla Megherbi, Toby P. Breckon
2020	J	`jnl`	Competitive Simplicity for Multi-Task Learning for Real-Time Foggy Scene Understanding via Domain Adaptation. CoRR Naif Alshammari, Samet Akcay, Toby P. Breckon
2020	J	`jnl`	Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery. CoRR Qian Wang, Toby P. Breckon
2020	J	`jnl`	Cross-Domain Structure Preserving Projection for Heterogeneous Domain Adaptation. CoRR Qian Wang, Toby P. Breckon
2020	B	`conf`	Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery. ICPR Hiroshi Sasaki, Chris G. Willcocks, Toby P. Breckon
2020	J	`jnl`	Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery. CoRR Hiroshi Sasaki, Chris G. Willcocks, Toby P. Breckon
2020	J	`jnl`	Data Augmentation with norm-VAE for Unsupervised Domain Adaptation. CoRR Qian Wang, Fanlin Meng, Toby P. Breckon
2020	C	`conf`	Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection. ICMLA William Thomson, Neelanjan Bhowmik, Toby P. Breckon
2020	J	`jnl`	Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection. CoRR William Thomson, Neelanjan Bhowmik, Toby P. Breckon
2020	—	`conf`	Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation. CVPR Workshops Seyma Yucer, Samet Akçay, Noura Al Moubayed, Toby P. Breckon
2020	J	`jnl`	Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation. CoRR Seyma Yucer, Samet Akçay, Noura Al Moubayed, Toby P. Breckon
2020	J	`jnl`	Generalized Zero-Shot Domain Adaptation via Coupled Conditional Variational Autoencoders. CoRR Qian Wang, Toby P. Breckon
2020	B	`conf`	Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional Loss. ICPR William Prew, Toby P. Breckon, Magnus Bordewich, Ulrik R. Beierholm
2020	J	`jnl`	Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional Loss. CoRR William Prew, Toby P. Breckon, Magnus Bordewich, Ulrik R. Beierholm
2020	B	`conf`	Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI. ICPR Nik Khadijah Nik Aznan, Amir Atapour Abarghouei, Stephen Bonner, Jason D. Connolly, Toby P. Breckon
2020	C	`conf`	Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery. ICMLA Qian Wang, Neelanjan Bhowmik, Toby P. Breckon
2020	J	`jnl`	Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery. CoRR Qian Wang, Neelanjan Bhowmik, Toby P. Breckon
2020	J	`jnl`	Multi-Model Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation. CoRR Naif Alshammari, Samet Akcay, Toby P. Breckon
2020	B	`conf`	Multi-view Object Detection Using Epipolar Constraints within Cluttered X-ray Security Imagery. ICPR Brian K. S. Isaac-Medina, Chris G. Willcocks, Toby P. Breckon
2020	B	`conf`	Not 3D Re-ID: Simple Single Stream 2D Convolution for Robust Video Re-identification. ICPR Toby P. Breckon, Aishah Alsehaim
2020	J	`jnl`	Not 3D Re-ID: a Simple Single Stream 2D Convolution for Robust Video Re-identification. CoRR Toby P. Breckon, Aishah Alsehaim
2020	B	`conf`	On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery. IJCNN Qian Wang, Neelanjan Bhowmik, Toby P. Breckon
2020	J	`jnl`	On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery. CoRR Qian Wang, Neelanjan Bhowmik, Toby P. Breckon
2020	B	`conf`	On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures. ICPR Matt Poyser, Amir Atapour Abarghouei, Toby P. Breckon
2020	J	`jnl`	On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures. CoRR Matt Poyser, Amir Atapour Abarghouei, Toby P. Breckon
2020	J	`jnl`	Towards Automatic Threat Detection: A Survey of Advances of Deep Learning within X-ray Security Imaging. CoRR Samet Akcay, Toby P. Breckon
2020	A*	`conf`	Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling. AAAI Qian Wang, Toby P. Breckon
2019	B	`conf`	A Baseline for Multi-Label Image Classification Using an Ensemble of Deep Convolutional Neural Networks. ICIP Qian Wang, Ning Jia, Toby P. Breckon
2019	B	`conf`	A Ranking Based Attention Approach for Visual Tracking. ICIP Shenhui Peng, Sei-ichiro Kamata, Toby P. Breckon
2019	J	`jnl`	An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening. CoRR Qian Wang, Khalid N. Ismail, Toby P. Breckon
2019	J	`jnl`	DeGraF-Flow: Extending DeGraF Features for accurate and efficient sparse-to-dense optical flow estimation. CoRR Felix Stephenson, Toby P. Breckon, Ioannis Katramados
2019	B	`conf`	Degraf-Flow: Extending Degraf Features for Accurate and Efficient Sparse-To-Dense Optical Flow Estimation. ICIP Felix Stephenson, Toby P. Breckon, Ioannis Katramados
2019	J	`jnl`	Discrete Curvature Representations for Noise Robust Image Corner Detection. IEEE Trans. Image Process. Weichuan Zhang, Changming Sun, Toby P. Breckon, Naif Alshammari
2019	C	`conf`	Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery. ICMLA Yona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akcay, Toby P. Breckon
2019	J	`jnl`	Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery. CoRR Yona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akcay, Toby P. Breckon
2019	B	`conf`	Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery. IJCNN Yona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akçay, Paolo M. Guillén-Garcia, Jack W. Barker, Toby P. Breckon
2019	J	`jnl`	Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery. CoRR Yona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akçay, Paolo M. Guillén-Garcia, Jack W. Barker, Toby P. Breckon
2019	C	`conf`	Experimental Exploration of Compact Convolutional Neural Network Architectures for Non-Temporal Real-Time Fire Detection. ICMLA Ganesh Samarth C. A., Neelanjan Bhowmik, Toby P. Breckon
2019	J	`jnl`	Experimental Exploration of Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection. CoRR Ganesh Samarth C. A., Neelanjan Bhowmik, Toby P. Breckon
2019	J	`jnl`	Generative adversarial framework for depth filling via Wasserstein metric, cosine transform and domain transfer. Pattern Recognit. Amir Atapour Abarghouei, Samet Akcay, Grégoire Payen de La Garanderie, Toby P. Breckon
2019	B	`conf`	Monocular Segment-Wise Depth: Monocular Depth Estimation Based on a Semantic Segmentation Prior. ICIP Amir Atapour Abarghouei, Toby P. Breckon
2019	J	`jnl`	Multi-Task Learning for Automotive Foggy Scene Understanding via Domain Adaptation to an Illumination-Invariant Representation. CoRR Naif Alshammari, Samet Akçay, Toby P. Breckon
2019	J	`jnl`	Multi-Task Regression-Based Learning for Autonomous Unmanned Aerial Vehicle Flight Control Within Unstructured Outdoor Environments. IEEE Robotics Autom. Lett. Bruna G. Maciel-Pearson, Samet Akçay, Amir Atapour Abarghouei, Christopher J. Holder, Toby P. Breckon
2019	J	`jnl`	Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments. CoRR Bruna G. Maciel-Pearson, Samet Akcay, Amir Atapour Abarghouei, Christopher J. Holder, Toby P. Breckon
2019	C	`conf`	On the Impact of Object and Sub-Component Level Segmentation Strategies for Supervised Anomaly Detection within X-Ray Security Imagery. ICMLA Neelanjan Bhowmik, Yona Falinie A. Gaus, Samet Akçay, Jack W. Barker, Toby P. Breckon
2019	J	`jnl`	On the Impact of Object and Sub-component Level Segmentation Strategies for Supervised Anomaly Detection within X-ray Security Imagery. CoRR Neelanjan Bhowmik, Yona Falinie A. Gaus, Samet Akcay, Jack W. Barker, Toby P. Breckon
2019	C	`conf`	On the Performance of Extended Real-Time Object Detection and Attribute Estimation within Urban Scene Understanding. ICMLA Khalid N. Ismail, Toby P. Breckon
2019	C	`conf`	On the Use of Neural Text Generation for the Task of Optical Character Recognition. AICCSA Mahnaz Mohammadi, Sardar F. Jaf, Andrew Stephen McGough, Toby P. Breckon, Peter Matthews, Georgios Theodoropoulos, Boguslaw Obara
2019	J	`jnl`	Online Deep Reinforcement Learning for Autonomous UAV Navigation and Exploration of Outdoor Environments. CoRR Bruna G. Maciel-Pearson, Letizia Marchegiani, Samet Akcay, Amir Atapour Abarghouei, James Garforth, Toby P. Breckon
2019	C	`conf`	Region Based Anomaly Detection with Real-Time Training and Analysis. ICMLA Philip A. Adey, Oliver K. Hamilton, Magnus Bordewich, Toby P. Breckon
2019	J	`jnl`	Segmentation Guided Attention Network for Crowd Counting via Curriculum Learning. CoRR Qian Wang, Toby P. Breckon
2019	B	`conf`	Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification. IJCNN Nik Khadijah Nik Aznan, Amir Atapour Abarghouei, Stephen Bonner, Jason D. Connolly, Noura Al Moubayed, Toby P. Breckon
2019	B	`conf`	Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection. IJCNN Samet Akçay, Amir Atapour Abarghouei, Toby P. Breckon
2019	J	`jnl`	Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection. CoRR Samet Akçay, Amir Atapour Abarghouei, Toby P. Breckon
2019	—	`conf`	Style Augmentation: Data Augmentation via Style Randomization. CVPR Workshops Philip T. G. Jackson, Amir Atapour Abarghouei, Stephen Bonner, Toby P. Breckon, Boguslaw Obara
2019	J	`jnl`	TMIXT: A process flow for Transcribing MIXed handwritten and machine-printed Text. CoRR Fady Medhat, Mahnaz Mohammadi, Sardar F. Jaf, Chris G. Willcocks, Toby P. Breckon, Peter Matthews, Andrew Stephen McGough, Georgios Theodoropoulos, Boguslaw Obara
2019	J	`jnl`	The Good, the Bad and the Ugly: Evaluating Convolutional Neural Networks for Prohibited Item Detection Using Real and Synthetically Composited X-ray Imagery. CoRR Neelanjan Bhowmik, Qian Wang, Yona Falinie A. Gaus, Marcin Szarek, Toby P. Breckon
2019	—	`conf`	To Complete or to Estimate, That is the Question: A Multi-Task Approach to Depth Completion and Monocular Depth Estimation. 3DV Amir Atapour Abarghouei, Toby P. Breckon
2019	J	`jnl`	To complete or to estimate, that is the question: A Multi-Task Approach to Depth Completion and Monocular Depth Estimation. CoRR Amir Atapour Abarghouei, Toby P. Breckon
2019	B	`conf`	Unifying Unsupervised Domain Adaptation and Zero-Shot Visual Recognition. IJCNN Qian Wang, Penghui Bu, Toby P. Breckon
2019	J	`jnl`	Unifying Unsupervised Domain Adaptation and Zero-Shot Visual Recognition. CoRR Qian Wang, Penghui Bu, Toby P. Breckon
2019	J	`jnl`	Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling. CoRR Qian Wang, Toby P. Breckon
2019	A*	`conf`	Using Variable Natural Environment Brain-Computer Interface Stimuli for Real-time Humanoid Robot Navigation. ICRA Nik Khadijah Nik Aznan, Jason D. Connolly, Noura Al Moubayed, Toby P. Breckon
2019	A*	`conf`	Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach. CVPR Amir Atapour Abarghouei, Toby P. Breckon
2019	J	`jnl`	Veritatem Dies Aperit- Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach. CoRR Amir Atapour Abarghouei, Toby P. Breckon
2018	J	`jnl`	A Baseline for Multi-Label Image Classification Using Ensemble Deep CNN. CoRR Qian Wang, Ning Jia, Toby P. Breckon
2018	J	`jnl`	A comparative review of plausible hole filling strategies in the context of scene depth image completion. Comput. Graph. Amir Atapour Abarghouei, Toby P. Breckon
2018	—	`conf`	Author Profiling: Gender Prediction from Tweets and Images: Notebook for PAN at CLEF 2018. CLEF (Working Notes) Yaakov HaCohen-Kerner, Yair Yigal, Elyashiv Shayovitz, Daniel Miller, Toby P. Breckon
2018	J	`jnl`	Clustering in pursuit of temporal correlation for human motion segmentation. Multim. Tools Appl. Cheng Qian, Toby P. Breckon, Zezhong Xu
2018	J	`jnl`	Depth Not Needed - An Evaluation of RGB-D Feature Encodings for Off-Road Scene Understanding by Convolutional Neural Network. CoRR Christopher J. Holder, Toby P. Breckon, Xiong Wei
2018	—	`conf`	Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360 ^\circ ∘ Panoramic Imagery. ECCV (13) Grégoire Payen de La Garanderie, Amir Atapour Abarghouei, Toby P. Breckon
2018	J	`jnl`	Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery. CoRR Grégoire Payen de La Garanderie, Amir Atapour Abarghouei, Toby P. Breckon
2018	—	`conf`	Encoding Stereoscopic Depth Features for Scene Understanding in off-Road Environments. ICIAR Christopher J. Holder, Toby P. Breckon
2018	B	`conf`	Experimentally Defined Convolutional Neural Network Architecture Variants for Non-Temporal Real-Time Fire Detection. ICIP Andrew J. Dunnings, Toby P. Breckon
2018	—	`conf`	Extended Patch Prioritization for Depth Filling Within Constrained Exemplar-Based RGB-D Image Completion. ICIAR Amir Atapour Abarghouei, Toby P. Breckon
2018	—	`conf`	Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation Within the Forest Canopy. TAROS Bruna G. Maciel-Pearson, Patrice E. Carbonneau, Toby P. Breckon
2018	J	`jnl`	GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training. CoRR Samet Akcay, Amir Atapour Abarghouei, Toby P. Breckon
2018	—	`conf`	GANomaly: Semi-supervised Anomaly Detection via Adversarial Training. ACCV (3) Samet Akcay, Amir Atapour Abarghouei, Toby P. Breckon
2018	B	`conf`	Infrared Image Colorization Using a S-Shape Network. ICIP Ziyue Dong, Sei-ichiro Kamata, Toby P. Breckon
2018	B	`conf`	Learning to Drive: Using Visual Odometry to Bootstrap Deep Learning for Off-Road Path Prediction. Intelligent Vehicles Symposium Christopher J. Holder, Toby P. Breckon
2018	B	`conf`	On the Classification of SSVEP-Based Dry-EEG Signals via Convolutional Neural Networks. SMC Nik Khadijah Nik Aznan, Stephen Bonner, Jason D. Connolly, Noura Al Moubayed, Toby P. Breckon
2018	J	`jnl`	On the Classification of SSVEP-Based Dry-EEG Signals via Convolutional Neural Networks. CoRR Nik Khadijah Nik Aznan, Stephen Bonner, Jason D. Connolly, Noura Al Moubayed, Toby P. Breckon
2018	B	`conf`	On the Impact of Illumination-Invariant Image Pre-transformation for Contemporary Automotive Semantic Scene Understanding. Intelligent Vehicles Symposium Naif Alshammari, Samet Akcay, Toby P. Breckon
2018	—	`conf`	On the Impact of Parallax Free Colour and Infrared Image Co-Registration to Fused Illumination Invariant Adaptive Background Modelling. CVPR Workshops Michael Loveday, Toby P. Breckon
2018	B	`conf`	On the Impact of Varying Region Proposal Strategies for Raindrop Detection and Classification Using Convolutional Neural Networks. ICIP Tiancheng Guo, Samet Akcay, Philip A. Adey, Toby P. Breckon
2018	—	`conf`	Real-Time Low-Cost Omni-Directional Stereo Vision via Bi-polar Spherical Cameras. ICIAR Kaiwen Lin, Toby P. Breckon
2018	A*	`conf`	Real-Time Monocular Depth Estimation Using Synthetic Data With Domain Adaptation via Image Style Transfer. CVPR Amir Atapour Abarghouei, Toby P. Breckon
2018	J	`jnl`	Style Augmentation: Data Augmentation via Style Randomization. CoRR Philip T. G. Jackson, Amir Atapour Abarghouei, Stephen Bonner, Toby P. Breckon, Boguslaw Obara
2018	—	`conf`	TMIXT: A process flow for Transcribing MIXed handwritten and machine-printed Text. IEEE BigData Fady Medhat, Mahnaz Mohammadi, Sardar F. Jaf, Chris G. Willcocks, Toby P. Breckon, Peter Matthews, Andrew Stephen McGough, Georgios Theodoropoulos, Boguslaw Obara
2018	J	`jnl`	Using Deep Convolutional Neural Network Architectures for Object Classification and Detection Within X-Ray Baggage Security Imagery. IEEE Trans. Inf. Forensics Secur. Samet Akcay, Mikolaj E. Kundegorski, Chris G. Willcocks, Toby P. Breckon
2018	J	`jnl`	Using Variable Natural Environment Brain-Computer Interface Stimuli for Real-time Humanoid Robot Navigation. CoRR Nik Khadijah Nik Aznan, Jason D. Connolly, Noura Al Moubayed, Toby P. Breckon
2018	J	`jnl`	Watermark Retrieval from 3D Printed Objects via Convolutional Neural Networks. CoRR Xin Zhang, Qian Wang, Toby P. Breckon, Ioannis P. Ivrissimtzis
2017	B	`conf`	An evaluation of region based object detection strategies within X-ray baggage security imagery. ICIP Samet Akcay, Toby P. Breckon
2017	A	`conf`	DepthComp: Real-time Depth Image Completion Based on Prior Semantic Scene Segmentation. BMVC Amir Atapour Abarghouei, Toby P. Breckon
2017	J	`jnl`	Noise robust image edge detection based upon the automatic anisotropic Gaussian kernels. Pattern Recognit. Weichuan Zhang, Yali Zhao, Toby P. Breckon, Long Chen
2016	B	`conf`	Back to Butterworth - a Fourier basis for 3D surface relief hole filling within RGB-D imagery. ICPR Amir Atapour Abarghouei, Grégoire Payen de La Garanderie, Toby P. Breckon
2016	B	`conf`	Constant-time bilateral filter using spectral decomposition. ICIP Kenjiro Sugimoto, Toby P. Breckon, Sei-ichiro Kamata
2016	B	`conf`	Dense gradient-based features (DEGRAF) for computationally efficient and invariant feature extraction in real-time applications. ICIP Ioannis Katramados, Toby P. Breckon
2016	—	`conf`	From On-Road to Off: Transfer Learning Within a Deep Convolutional Neural Network for Segmentation and Classification of Off-Road Scenes. ECCV Workshops (1) Christopher J. Holder, Toby P. Breckon, Wei Xiong
2016	B	`conf`	Generalized dynamic object removal for dense stereo vision based scene mapping using synthesised optical flow. ICIP Oliver K. Hamilton, Toby P. Breckon
2016	—	`conf`	On using feature descriptors as visual words for object detection within X-ray baggage security screening. ICDP Mikolaj E. Kundegorski, Samet Akcay, Michael Devereux, André Mouton, Toby P. Breckon
2016	—	`conf`	SMS Spam Filtering Using Probabilistic Topic Modelling and Stacked Denoising Autoencoder. ICANN (2) Noura Al Moubayed, Toby P. Breckon, Peter Matthews, A. Stephen McGough
2016	J	`jnl`	SMS Spam Filtering using Probabilistic Topic Modelling and Stacked Denoising Autoencoder. CoRR Noura Al Moubayed, Toby P. Breckon, Peter Matthews, A. Stephen McGough
2016	B	`conf`	Transfer learning using convolutional neural networks for object classification within X-ray baggage security imagery. ICIP Samet Akcay, Mikolaj E. Kundegorski, Michael Devereux, Toby P. Breckon
2015	B	`conf`	Improved 3D sparse maps for high-performance SFM with low-cost omnidirectional robots. ICIP Pedro Cavestcmy, Antonio L. Rodriguez, Humberto Martínez Barberá, Toby P. Breckon
2015	B	`conf`	Improved raindrop detection using combined shape and saliency descriptors with scene context isolation. ICIP Dereck D. Webster, Toby P. Breckon
2015	J	`jnl`	Materials-based 3D segmentation of unknown objects from dual-energy computed tomography imagery in baggage security screening. Pattern Recognit. André Mouton, Toby P. Breckon
2015	J	`jnl`	Object classification in 3D baggage security computed tomography imagery using visual codebooks. Pattern Recognit. Gregory T. Flitton, André Mouton, Toby P. Breckon
2015	J	`jnl`	Quantitative Evaluation of Stereo Visual Odometry for Autonomous Vessel Localisation in Inland Waterway Sensing Applications. Sensors Thomas Kriechbaumer, Kim Blackburn, Toby P. Breckon, Oliver K. Hamilton, Mónica Rivas Casado
2015	J	`jnl`	Robust visual tracking via speedup multiple kernel ridge regression. J. Electronic Imaging Cheng Qian, Toby P. Breckon, Hui Li
2014	B	`conf`	3D object classification in baggage computed tomography imagery using randomised clustering forests. ICIP André Mouton, Toby P. Breckon, Gregory T. Flitton, Najla Megherbi Bouallagu
2014	A	`conf`	Improved Depth Recovery In Consumer Depth Cameras via Disparity Space Fusion within Cross-spectral Stereo. BMVC Grégoire Payen de La Garanderie, Toby P. Breckon
2013	J	`jnl`	A comparison of 3D interest point descriptors with application to airport baggage object detection in complex CT imagery. Pattern Recognit. Gregory T. Flitton, Toby P. Breckon, Najla Megherbi
2013	B	`conf`	A distance driven method for metal artefact reduction in computed tomography. ICIP André Mouton, Najla Megherbi, Katrien Van Slambrouck, Johan Nuyts, Toby P. Breckon
2013	B	`conf`	A foreground object based quantitative assessment of dense stereo approaches for use in automotive environments. ICIP Oliver K. Hamilton, Toby P. Breckon, Xuejiao Bai, Sei-ichiro Kamata
2013	—	`conf`	Challenges of finding aesthetically pleasing images. WIAMIS João Faria, Stanislav Bagley, Stefan M. Rüger, Toby P. Breckon
2013	J	`jnl`	Cross-spectral visual simultaneous localization and mapping (SLAM) with sensor handover. Robotics Auton. Syst. Marina Magnabosco, Toby P. Breckon
2013	—	`book`	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
2012	A*	`conf`	A 3D extension to cortex like mechanisms for 3D object class recognition. CVPR Gregory T. Flitton, Toby P. Breckon, Najla Megherbi
2012	B	`conf`	A comparison of classification approaches for threat detection in CT based baggage screening. ICIP Najla Megherbi, Ji Wan Han, Toby P. Breckon, Gregory T. Flitton
2012	J	`jnl`	A hierarchical extension to 3D non-parametric surface relief completion. Pattern Recognit. Toby P. Breckon, Robert B. Fisher
2012	B	`conf`	A novel intensity limiting approach to Metal Artefact Reduction in 3D CT baggage imagery. ICIP André Mouton, Najla Megherbi, Gregory T. Flitton, Suzanne Bizot, Toby P. Breckon
2012	J	`jnl`	An empirical comparison of real-time dense stereo approaches for use in the automotive environment. EURASIP J. Image Video Process. Filip Mroz, Toby P. Breckon
2012	J	`jnl`	Automatic real-time road marking recognition using a feature driven approach. Mach. Vis. Appl. Alireza Kheyrollahi, Toby P. Breckon
2012	—	`conf`	Fully automatic 3D Threat Image Projection: Application to densely cluttered 3D Computed Tomography baggage images. IPTA Najla Megherbi Bouallagu, Toby P. Breckon, Gregory T. Flitton, André Mouton
2012	A	`conf`	On Cross-Spectral Stereo Matching using Dense Gradient Features. BMVC Peter Pinggera, Toby P. Breckon, Horst Bischof
2012	J	`jnl`	The application of support vector machine classification to detect cell nuclei for automated microscopy. Mach. Vis. Appl. Ji Wan Han, Toby P. Breckon, David A. Randell, Gabriel Landini
2011	B	`conf`	A non-temporal texture driven approach to real-time fire detection. ICIP Audrey Chenebert, Toby P. Breckon, Anna Gaszczak
2011	J	`jnl`	Automatic Road Environment Classification. IEEE Trans. Intell. Transp. Syst. Isabelle Tang, Toby P. Breckon
2011	—	`conf`	Real-time people and vehicle detection from UAV imagery. Intelligent Robots and Computer Vision: Algorithms and Techniques Anna Gaszczak, Toby P. Breckon, Ji Wan Han
2011	B	`conf`	Real-time visual saliency by Division of Gaussians. ICIP Ioannis Katramados, Toby P. Breckon
2010	B	`conf`	A classifier based approach for the detection of potential threats in CT based Baggage Screening. ICIP Najla Megherbi, Gregory T. Flitton, Toby P. Breckon
2010	A	`conf`	Object Recognition using 3D SIFT in Complex CT Volumes. BMVC Gregory T. Flitton, Toby P. Breckon, Najla Megherbi Bouallagu
2009	C	`conf`	Real-Time Traversable Surface Detection by Colour Space Fusion and Temporal Analysis. ICVS Ioannis Katramados, Steve Crumpler, Toby P. Breckon
2008	J	`jnl`	Three-Dimensional Surface Relief Completion Via Nonparametric Techniques. IEEE Trans. Pattern Anal. Mach. Intell. Toby P. Breckon, Robert B. Fisher
2005	J	`jnl`	Amodal volume completion: 3D visual completion. Comput. Vis. Image Underst. Toby P. Breckon, Robert B. Fisher
2005	—	`conf`	Non-Parametric 3D Surface Completion. 3DIM Toby P. Breckon, Robert B. Fisher
2005	—	`conf`	Plausible 3D Colour Surface Completion Using Non-parametric Techniques. IMA Conference on the Mathematics of Surfaces Toby P. Breckon, Robert B. Fisher
2004	—	`conf`	Environment Authentication Through 3D Structural Analysis. ICIAR (1) Toby P. Breckon, Robert B. Fisher