Toby P. Breckon

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 177

Top Venues

Publications

Matt Poyser, Toby P. Breckon
Neural architecture search: A contemporary literature review for computer vision applications. Pattern Recognit. 147 (2024)
Jiaxu Liu, Zhengdi Yu, Toby P. Breckon, Hubert P. H. Shum
: Unsupervised 3D Semantic Scene Segmentation. CoRR (2023)
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, Zheng Ziqiang, 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
Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. WACV (Workshops) (2023)
Zhengdi Yu, Shaoli Huang, Chen Fang, Toby P. Breckon, Jue Wang
ACR: Attention Collaboration-based Regressor for Arbitrary Two-Hand Reconstruction. CVPR (2023)
Qian Wang, Toby P. Breckon
Generalized zero-shot domain adaptation via coupled conditional variational autoencoders. Neural Networks 163 (2023)
Brian K. S. Isaac-Medina, Chris G. Willcocks, Toby P. Breckon
Exact-NeRF: An Exploration of a Precise Volumetric Parameterization for Neural Radiance Fields. CVPR (2023)
Brian K. S. Isaac-Medina, Seyma Yucer, Neelanjan Bhowmik, Toby P. Breckon
Seeing Through the Data: A Statistical Evaluation of Prohibited Item Detection Benchmark Datasets for X-ray Security Screening. CVPR Workshops (2023)
Abril Corona-Figueroa, Sam Bond-Taylor, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon, Hubert P. H. Shum, Chris G. Willcocks
Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion using Transformers. ICCV (2023)
Mehdi Rafiei, Toby P. Breckon, Alexandros Iosifidis
On Pixel-level Performance Assessment in Anomaly Detection. CoRR (2023)
Seyma Yucer, Furkan Tektas, Noura Al Moubayed, Toby P. Breckon
Racial Bias within Face Recognition: A Survey. CoRR (2023)
Jack W. Barker, Neelanjan Bhowmik, Yona Falinie A Gaus, Toby P. Breckon
Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption. CoRR (2023)
Li Li, Hubert P. H. Shum, Toby P. Breckon
Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation. CVPR (2023)
Qian Wang, Fanlin Meng, Toby P. Breckon
Data augmentation with norm-AE and selective pseudo-labelling for unsupervised domain adaptation. Neural Networks 161 (2023)
Yona Falinie A. Gaus, Neelanjan Bhowmik, Brian K. S. Isaac-Medina, Hubert P. H. Shum, Amir Atapour-Abarghouei, Toby P. Breckon
Region-based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery. CVPR Workshops (2023)
Li Li, Hubert P. H. Shum, Toby P. Breckon
Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation. CoRR (2023)
Qian Wang, Fanlin Meng, Toby P. Breckon
On Fine-Tuned Deep Features for Unsupervised Domain Adaptation. IJCNN (2023)
Jack W. Barker, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon
Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption. VISIGRAPP (5: VISAPP) (2023)
Abril Corona-Figueroa, Sam Bond-Taylor, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon, Hubert P. H. Shum, Chris G. Willcocks
Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion using Transformers. CoRR (2023)
Zhengdi Yu, Shaoli Huang, Chen Fang, Toby P. Breckon, Jue Wang
ACR: Attention Collaboration-based Regressor for Arbitrary Two-Hand Reconstruction. CoRR (2023)
Neelanjan Bhowmik, Toby P. Breckon
Joint Sub-component Level Segmentation and Classification for Anomaly Detection within Dual-Energy X-Ray Security Imagery. ICMLA (2022)
Seyma Yucer, Matt Poyser, Noura Al Moubayed, Toby P. Breckon
Does lossy image compression affect racial bias within face recognition? CoRR (2022)
Jack W. Barker, Neelanjan Bhowmik, Toby P. Breckon
Semi-supervised Surface Anomaly Detection of Composite Wind Turbine Blades from Drone Imagery. VISIGRAPP (4: VISAPP) (2022)
Qian Wang, Toby P. Breckon
Cross-domain structure preserving projection for heterogeneous domain adaptation. Pattern Recognit. 123 (2022)
Seyma Yucer, Matt Poyser, Noura Al Moubayed, Toby P. Breckon
Does lossy image compression affect racial bias within face recognition? IJCB (2022)
Seyma Yucer, Furkan Tektas, Noura Al Moubayed, Toby P. Breckon
Measuring Hidden Bias within Face Recognition via Racial Phenotypes. WACV (2022)
Qian Wang, Toby P. Breckon
Crowd Counting via Segmentation Guided Attention Networks and Curriculum Loss. IEEE Trans. Intell. Transp. Syst. 23 (9) (2022)
Brian K. S. Isaac-Medina, Neelanjan Bhowmik, Chris G. Willcocks, Toby P. Breckon
Cross-modal Image Synthesis within Dual-Energy X-ray Security Imagery. CVPR Workshops (2022)
Aishah Alsehaim, Toby P. Breckon
VID-Trans-ReID: Enhanced Video Transformers for Person Re-identification. BMVC (2022)
Daniel Organisciak, Matthew Poyser, Aishah Alsehaim, Shanfeng Hu, Brian K. S. Isaac-Medina, Toby P. Breckon, Hubert P. H. Shum
UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-identification in Video Imagery. VISIGRAPP (4: VISAPP) (2022)
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, Zheng Ziqiang, 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
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. CoRR (2022)
Neelanjan Bhowmik, Jack W. Barker, Yona Falinie A. Gaus, Toby P. Breckon
Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery. CoRR (2022)
Brian K. S. Isaac-Medina, Chris G. Willcocks, Toby P. Breckon
Exact-NeRF: An Exploration of a Precise Volumetric Parameterization for Neural Radiance Fields. CoRR (2022)
Michael Groom, Toby P. Breckon
On Depth Error from Spherical Camera Calibration within Omnidirectional Stereo Vision. ICPR (2022)
Neelanjan Bhowmik, Jack W. Barker, Yona Falinie A. Gaus, Toby P. Breckon
Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery. CVPR Workshops (2022)
William Prew, Toby P. Breckon, Magnus Bordewich, Ulrik R. Beierholm
Evaluating Gaussian Grasp Maps for Generative Grasping Models. IJCNN (2022)
Samet Akcay, Toby P. Breckon
Towards automatic threat detection: A survey of advances of deep learning within X-ray security imaging. Pattern Recognit. 122 (2022)
Bing Wang, Zhengdi Yu, Bo Yang, Jie Qin, Toby P. Breckon, Ling Shao, Niki Trigoni, Andrew Markham
RangeUDF: Semantic Surface Reconstruction from 3D Point Clouds. CoRR (2022)
Brian K. S. Isaac-Medina, Chris G. Willcocks, Toby P. Breckon
Multi-view Vision Transformers for Object Detection. ICPR (2022)
Simon G. E. Gökstorp, Toby P. Breckon
Temporal and non-temporal contextual saliency analysis for generalized wide-area search within unmanned aerial vehicle (UAV) video. Vis. Comput. 38 (6) (2022)
Qian Wang, Toby P. Breckon
On Fine-Tuned Deep Features for Unsupervised Domain Adaptation. CoRR (2022)
Sam Bond-Taylor, Peter Hessey, Hiroshi Sasaki, Toby P. Breckon, Chris G. Willcocks
Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes. ECCV (23) (2022)
William Prew, Toby P. Breckon, Magnus Bordewich, Ulrik R. Beierholm
Evaluating Gaussian Grasp Maps for Generative Grasping Models. CoRR (2022)
Neelanjan Bhowmik, Toby P. Breckon
Joint Sub-component Level Segmentation and Classification for Anomaly Detection within Dual-Energy X-Ray Security Imagery. CoRR (2022)
Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon
On the Impact of Using X-Ray Energy Response Imagery for Object Detection Via Convolutional Neural Networks. ICIP (2021)
Brian K. S. Isaac-Medina, Matt Poyser, Daniel Organisciak, Chris G. Willcocks, Toby P. Breckon, Hubert P. H. Shum
Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark. ICCVW (2021)
Aishah Alsehaim, Toby P. Breckon
Re-ID-AR: Improved Person Re-identification in Videovia Joint Weakly Supervised Action Recognition. BMVC (2021)
Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon
On the impact of using X-ray energy response imagery for object detection via Convolutional Neural Networks. CoRR (2021)
Philip A. Adey, Samet Akçay, Magnus Bordewich, Toby P. Breckon
Autoencoders Without Reconstruction for Textural Anomaly Detection. IJCNN (2021)
Christopher J. Holder, Toby P. Breckon
Learning to Drive: End-to-End Off-Road Path Prediction. IEEE Intell. Transp. Syst. Mag. 13 (2) (2021)
Thomas W. Webb, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon
Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray Imagery. CoRR (2021)
Li Li, Khalid N. Ismail, Hubert P. H. Shum, Toby P. Breckon
DurLAR: A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications. 3DV (2021)
Sam Bond-Taylor, Peter Hessey, Hiroshi Sasaki, Toby P. Breckon, Chris G. Willcocks
Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes. CoRR (2021)
Daniel Organisciak, Brian K. S. Isaac-Medina, Matthew Poyser, Shanfeng Hu, Toby P. Breckon, Hubert P. H. Shum
UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-identification. CoRR (2021)
Qian Wang, Toby P. Breckon
On the Evaluation of Semi-Supervised 2D Segmentation for Volumetric 3D Computed Tomography Baggage Security Screening. IJCNN (2021)
Seyma Yucer, Furkan Tektas, Noura Al Moubayed, Toby P. Breckon
Measuring Hidden Bias within Face Recognition via Racial Phenotypes. CoRR (2021)
Qian Wang, Fanlin Meng, Toby P. Breckon
Progressively Select and Reject Pseudo-labelled Samples for Open-Set Domain Adaptation. CoRR (2021)
Naif Alshammari, Samet Akcay, Toby P. Breckon
Multi-Modal Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation. IV (2021)
Joyal Raju, Yona Falinie A. Gaus, Toby P. Breckon
Continuous Multi-modal Emotion Prediction in Video based on Recurrent Neural Network Variants with Attention. ICMLA (2021)
Qian Wang, Toby P. Breckon
Source Class Selection With Label Propagation For Partial Domain Adaptation. ICIP (2021)
Jack W. Barker, Toby P. Breckon
PANDA: Perceptually Aware Neural Detection of Anomalies. IJCNN (2021)
Hiroshi Sasaki, Chris G. Willcocks, Toby P. Breckon
UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models. CoRR (2021)
Jack W. Barker, Neelanjan Bhowmik, Toby P. Breckon
Semi-Supervised Surface Anomaly Detection of Composite Wind Turbine Blades From Drone Imagery. CoRR (2021)
Qian Wang, Toby P. Breckon
Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery. ICMLA (2021)
Thomas W. Webb, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon
Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray Imagery. ICMLA (2021)
Naif Alshammari, Samet Akcay, Toby P. Breckon
Competitive Simplicity for Multi-Task Learning for Real-Time Foggy Scene Understanding via Domain Adaptation. IV (2021)
Jack W. Barker, Toby P. Breckon
PANDA : Perceptually Aware Neural Detection of Anomalies. CoRR (2021)
Brian K. S. Isaac-Medina, Matt Poyser, Daniel Organisciak, Chris G. Willcocks, Toby P. Breckon, Hubert P. H. Shum
Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark. CoRR (2021)
Qian Wang, Neelanjan Bhowmik, Toby P. Breckon
On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery. IJCNN (2020)
Matt Poyser, Amir Atapour Abarghouei, Toby P. Breckon
On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures. ICPR (2020)
Hiroshi Sasaki, Chris G. Willcocks, Toby P. Breckon
Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery. ICPR (2020)
Naif Alshammari, Samet Akcay, Toby P. Breckon
Competitive Simplicity for Multi-Task Learning for Real-Time Foggy Scene Understanding via Domain Adaptation. CoRR (2020)
Qian Wang, Fanlin Meng, Toby P. Breckon
Data Augmentation with norm-VAE for Unsupervised Domain Adaptation. CoRR (2020)
William Thomson, Neelanjan Bhowmik, Toby P. Breckon
Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection. CoRR (2020)
Matt Poyser, Amir Atapour Abarghouei, Toby P. Breckon
On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures. CoRR (2020)
William Prew, Toby P. Breckon, Magnus Bordewich, Ulrik R. Beierholm
Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional Loss. CoRR (2020)
Toby P. Breckon, Aishah Alsehaim
Not 3D Re-ID: Simple Single Stream 2D Convolution for Robust Video Re-identification. ICPR (2020)
Samet Akcay, Toby P. Breckon
Towards Automatic Threat Detection: A Survey of Advances of Deep Learning within X-ray Security Imaging. CoRR (2020)
Qian Wang, Toby P. Breckon
Generalized Zero-Shot Domain Adaptation via Coupled Conditional Variational Autoencoders. CoRR (2020)
Qian Wang, Neelanjan Bhowmik, Toby P. Breckon
On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery. CoRR (2020)
Qian Wang, Toby P. Breckon
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling. AAAI (2020)
Nik Khadijah Nik Aznan, Amir Atapour Abarghouei, Stephen Bonner, Jason D. Connolly, Toby P. Breckon
Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI. ICPR (2020)
Qian Wang, Neelanjan Bhowmik, Toby P. Breckon
Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery. CoRR (2020)
Qian Wang, Neelanjan Bhowmik, Toby P. Breckon
Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery. ICMLA (2020)
Hiroshi Sasaki, Chris G. Willcocks, Toby P. Breckon
Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery. CoRR (2020)
Qian Wang, Toby P. Breckon
Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery. CoRR (2020)
Qian Wang, Najla Megherbi, Toby P. Breckon
A Reference Architecture for Plausible Threat Image Projection (TIP) Within 3D X-ray Computed Tomography Volumes. CoRR (2020)
Qian Wang, Toby P. Breckon
Cross-Domain Structure Preserving Projection for Heterogeneous Domain Adaptation. CoRR (2020)
William Prew, Toby P. Breckon, Magnus Bordewich, Ulrik R. Beierholm
Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional Loss. ICPR (2020)
Seyma Yucer, Samet Akçay, Noura Al Moubayed, Toby P. Breckon
Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation. CoRR (2020)
William Thomson, Neelanjan Bhowmik, Toby P. Breckon
Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection. ICMLA (2020)
Seyma Yucer, Samet Akçay, Noura Al Moubayed, Toby P. Breckon
Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation. CVPR Workshops (2020)
Toby P. Breckon, Aishah Alsehaim
Not 3D Re-ID: a Simple Single Stream 2D Convolution for Robust Video Re-identification. CoRR (2020)
Naif Alshammari, Samet Akcay, Toby P. Breckon
Multi-Model Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation. CoRR (2020)
Brian K. S. Isaac-Medina, Chris G. Willcocks, Toby P. Breckon
Multi-view Object Detection Using Epipolar Constraints within Cluttered X-ray Security Imagery. ICPR (2020)
Amir Atapour Abarghouei, Toby P. Breckon
To Complete or to Estimate, That is the Question: A Multi-Task Approach to Depth Completion and Monocular Depth Estimation. 3DV (2019)
Qian Wang, Penghui Bu, Toby P. Breckon
Unifying Unsupervised Domain Adaptation and Zero-Shot Visual Recognition. CoRR (2019)
Naif Alshammari, Samet Akçay, Toby P. Breckon
Multi-Task Learning for Automotive Foggy Scene Understanding via Domain Adaptation to an Illumination-Invariant Representation. CoRR (2019)
Shenhui Peng, Sei-ichiro Kamata, Toby P. Breckon
A Ranking Based Attention Approach for Visual Tracking. ICIP (2019)
Yona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akcay, Toby P. Breckon
Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery. CoRR (2019)
Felix Stephenson, Toby P. Breckon, Ioannis Katramados
Degraf-Flow: Extending Degraf Features for Accurate and Efficient Sparse-To-Dense Optical Flow Estimation. ICIP (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Toby P. Breckon