default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDToby P. Breckon
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j29]Matt Poyser
, Toby P. Breckon:
Neural architecture search: A contemporary literature review for computer vision applications. Pattern Recognit. 147: 110052 (2024)- [j28]Qian Wang, Fanlin Meng, Toby P. Breckon:
Progressively Select and Reject Pseudolabeled Samples for Open-Set Domain Adaptation. IEEE Trans. Artif. Intell. 5(9): 4403-4414 (2024) - [c116]Yona Falinie A. Gaus, Neelanjan Bhowmik, Brian K. S. Isaac-Medina, Toby P. Breckon:
Performance Evaluation of Segment Anything Model with Variational Prompting for Application to Non-Visible Spectrum Imagery. CVPR Workshops 2024: 3142-3152 - [c115]Brian K. S. Isaac-Medina, Yona Falinie A. Gaus, Neelanjan Bhowmik, Toby P. Breckon:
Towards Open-World Object-Based Anomaly Detection via Self-Supervised Outlier Synthesis. ECCV (71) 2024: 196-214 - [c114]Li Li, Hubert P. H. Shum, Toby P. Breckon:
RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation. ECCV (7) 2024: 222-241 - [c113]Mehdi Rafiei, Toby P. Breckon, Alexandros Iosifidis:
Superpixel-based Anomaly Detection for Irregular Textures with a Focus on Pixel-level Accuracy. IJCNN 2024: 1-8 - [c112]Seyma Yucer, Amir Atapour Abarghouei, Noura Al Moubayed, Toby P. Breckon:
Disentangling Racial Phenotypes: Fine-Grained Control of Race-related Facial Phenotype Characteristics. IJCNN 2024: 1-10 - [c111]Jiaxu Liu, Zhengdi Yu, Toby P. Breckon, Hubert P. H. Shum:
U3DS3: Unsupervised 3D Semantic Scene Segmentation. WACV 2024: 3747-3756 - [i73]Seyma Yucer, Amir Atapour Abarghouei, Noura Al Moubayed, Toby P. Breckon:
Disentangling Racial Phenotypes: Fine-Grained Control of Race-related Facial Phenotype Characteristics. CoRR abs/2403.19897 (2024) - [i72]Yona Falinie A. Gaus, Neelanjan Bhowmik, Brian K. S. Isaac-Medina, Toby P. Breckon:
Performance Evaluation of Segment Anything Model with Variational Prompting for Application to Non-Visible Spectrum Imagery. CoRR abs/2404.12285 (2024) - [i71]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. CoRR abs/2406.10068 (2024) - [i70]Li Li, Hubert P. H. Shum, Toby P. Breckon:
RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation. CoRR abs/2407.10159 (2024) - [i69]Brian K. S. Isaac-Medina, Yona Falinie A. Gaus, Neelanjan Bhowmik, Toby P. Breckon:
Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis. CoRR abs/2407.15763 (2024) - [i68]Li Li, Tanqiu Qiao, Hubert P. H. Shum, Toby P. Breckon:
TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training. CoRR abs/2408.13902 (2024) - 2023
- [j27]Qian Wang, Fanlin Meng, Toby P. Breckon:
Data augmentation with norm-AE and selective pseudo-labelling for unsupervised domain adaptation. Neural Networks 161: 614-625 (2023) - [j26]Qian Wang, Toby P. Breckon:
Generalized zero-shot domain adaptation via coupled conditional variational autoencoders. Neural Networks 163: 40-52 (2023) - [c110]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: 66-75 - [c109]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: 524-533 - [c108]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: 2995-3005 - [c107]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: 9361-9371 - [c106]Zhengdi Yu, Shaoli Huang, Chen Fang, Toby P. Breckon, Jue Wang:
ACR: Attention Collaboration-based Regressor for Arbitrary Two-Hand Reconstruction. CVPR 2023: 12955-12964 - [c105]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: 14539-14548 - [c104]Qian Wang, Fanlin Meng, Toby P. Breckon:
On Fine-Tuned Deep Features for Unsupervised Domain Adaptation. IJCNN 2023: 1-7 - [c103]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: 615-625 - [c102]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:
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. WACV (Workshops) 2023: 265-302 - [i67]Jack W. Barker, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon:
Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption. CoRR abs/2303.03925 (2023) - [i66]Zhengdi Yu, Shaoli Huang, Chen Fang, Toby P. Breckon, Jue Wang:
ACR: Attention Collaboration-based Regressor for Arbitrary Two-Hand Reconstruction. CoRR abs/2303.05938 (2023) - [i65]Li Li, Hubert P. H. Shum, Toby P. Breckon:
Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation. CoRR abs/2303.11203 (2023) - [i64]Seyma Yucer, Furkan Tektas, Noura Al Moubayed, Toby P. Breckon:
Racial Bias within Face Recognition: A Survey. CoRR abs/2305.00817 (2023) - [i63]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 abs/2308.14152 (2023) - [i62]Mehdi Rafiei, Toby P. Breckon, Alexandros Iosifidis:
On Pixel-level Performance Assessment in Anomaly Detection. CoRR abs/2310.16435 (2023) - [i61]Jiaxu Liu, Zhengdi Yu, Toby P. Breckon, Hubert P. H. Shum:
U3DS3: Unsupervised 3D Semantic Scene Segmentation. CoRR abs/2311.06018 (2023) - 2022
- [j25]Samet Akcay, Toby P. Breckon:
Towards automatic threat detection: A survey of advances of deep learning within X-ray security imaging. Pattern Recognit. 122: 108245 (2022) - [j24]Qian Wang, Toby P. Breckon:
Cross-domain structure preserving projection for heterogeneous domain adaptation. Pattern Recognit. 123: 108362 (2022) - [j23]Qian Wang, Toby P. Breckon:
Crowd Counting via Segmentation Guided Attention Networks and Curriculum Loss. IEEE Trans. Intell. Transp. Syst. 23(9): 15233-15243 (2022) - [j22]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): 2033-2040 (2022) - [c101]Aishah Alsehaim, Toby P. Breckon:
VID-Trans-ReID: Enhanced Video Transformers for Person Re-identification. BMVC 2022: 342 - [c100]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: 332-340 - [c99]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: 368-377 - [c98]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: 170-188 - [c97]Seyma Yucer, Matt Poyser, Noura Al Moubayed, Toby P. Breckon:
Does lossy image compression affect racial bias within face recognition? IJCB 2022: 1-10 - [c96]Neelanjan Bhowmik, Toby P. Breckon:
Joint Sub-component Level Segmentation and Classification for Anomaly Detection within Dual-Energy X-Ray Security Imagery. ICMLA 2022: 1463-1467 - [c95]Michael Groom, Toby P. Breckon:
On Depth Error from Spherical Camera Calibration within Omnidirectional Stereo Vision. ICPR 2022: 3987-3993 - [c94]Brian K. S. Isaac-Medina, Chris G. Willcocks, Toby P. Breckon:
Multi-view Vision Transformers for Object Detection. ICPR 2022: 4678-4684 - [c93]William Prew, Toby P. Breckon, Magnus Bordewich, Ulrik R. Beierholm:
Evaluating Gaussian Grasp Maps for Generative Grasping Models. IJCNN 2022: 1-9 - [c92]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: 136-146 - [c91]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: 868-876 - [c90]Seyma Yucer, Furkan Tektas, Noura Al Moubayed, Toby P. Breckon:
Measuring Hidden Bias within Face Recognition via Racial Phenotypes. WACV 2022: 3202-3211 - [i60]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 abs/2204.09138 (2022) - [i59]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 abs/2205.08002 (2022) - [i58]William Prew, Toby P. Breckon, Magnus Bordewich, Ulrik R. Beierholm:
Evaluating Gaussian Grasp Maps for Generative Grasping Models. CoRR abs/2206.00432 (2022) - [i57]Seyma Yucer, Matt Poyser, Noura Al Moubayed, Toby P. Breckon:
Does lossy image compression affect racial bias within face recognition? CoRR abs/2208.07613 (2022) - [i56]Qian Wang, Toby P. Breckon:
On Fine-Tuned Deep Features for Unsupervised Domain Adaptation. CoRR abs/2210.14083 (2022) - [i55]Neelanjan Bhowmik, Toby P. Breckon:
Joint Sub-component Level Segmentation and Classification for Anomaly Detection within Dual-Energy X-Ray Security Imagery. CoRR abs/2210.16453 (2022) - [i54]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 abs/2211.12285 (2022) - [i53]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 abs/2211.13508 (2022) - 2021
- [j21]Christopher J. Holder, Toby P. Breckon:
Learning to Drive: End-to-End Off-Road Path Prediction. IEEE Intell. Transp. Syst. Mag. 13(2): 217-221 (2021) - [c89]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: 1227-1237 - [c88]Aishah Alsehaim, Toby P. Breckon:
Re-ID-AR: Improved Person Re-identification in Videovia Joint Weakly Supervised Action Recognition. BMVC 2021: 276 - [c87]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: 1223-1232 - [c86]Qian Wang, Toby P. Breckon:
Source Class Selection With Label Propagation For Partial Domain Adaptation. ICIP 2021: 769-773 - [c85]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: 1224-1228 - [c84]Qian Wang, Toby P. Breckon:
Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery. ICMLA 2021: 75-82 - [c83]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: 610-615 - [c82]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: 688-693 - [c81]Philip A. Adey, Samet Akçay, Magnus Bordewich, Toby P. Breckon:
Autoencoders Without Reconstruction for Textural Anomaly Detection. IJCNN 2021: 1-8 - [c80]Jack W. Barker, Toby P. Breckon:
PANDA: Perceptually Aware Neural Detection of Anomalies. IJCNN 2021: 1-8 - [c79]Qian Wang, Toby P. Breckon:
On the Evaluation of Semi-Supervised 2D Segmentation for Volumetric 3D Computed Tomography Baggage Security Screening. IJCNN 2021: 1-8 - [c78]Naif Alshammari, Samet Akcay, Toby P. Breckon:
Competitive Simplicity for Multi-Task Learning for Real-Time Foggy Scene Understanding via Domain Adaptation. IV 2021: 1413-1420 - [c77]Naif Alshammari, Samet Akcay, Toby P. Breckon:
Multi-Modal Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation. IV 2021: 1428-1435 - [i52]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 abs/2103.13933 (2021) - [i51]Hiroshi Sasaki, Chris G. Willcocks, Toby P. Breckon:
UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models. CoRR abs/2104.05358 (2021) - [i50]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 abs/2104.06219 (2021) - [i49]Jack W. Barker, Toby P. Breckon:
PANDA : Perceptually Aware Neural Detection of Anomalies. CoRR abs/2104.13702 (2021) - [i48]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 abs/2108.12505 (2021) - [i47]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 abs/2110.04906 (2021) - [i46]Seyma Yucer, Furkan Tektas, Noura Al Moubayed, Toby P. Breckon:
Measuring Hidden Bias within Face Recognition via Racial Phenotypes. CoRR abs/2110.09839 (2021) - [i45]Qian Wang, Fanlin Meng, Toby P. Breckon:
Progressively Select and Reject Pseudo-labelled Samples for Open-Set Domain Adaptation. CoRR abs/2110.12635 (2021) - [i44]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 abs/2111.12701 (2021) - [i43]Jack W. Barker, Neelanjan Bhowmik, Toby P. Breckon:
Semi-Supervised Surface Anomaly Detection of Composite Wind Turbine Blades From Drone Imagery. CoRR abs/2112.00556 (2021) - 2020
- [c76]Qian Wang, Toby P. Breckon:
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling. AAAI 2020: 6243-6250 - [c75]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: 83-92 - [c74]Qian Wang, Neelanjan Bhowmik, Toby P. Breckon:
Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery. ICMLA 2020: 13-18 - [c73]William Thomson, Neelanjan Bhowmik, Toby P. Breckon:
Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection. ICMLA 2020: 136-141 - [c72]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: 2830-2837 - [c71]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: 5083-5090 - [c70]Toby P. Breckon, Aishah Alsehaim:
Not 3D Re-ID: Simple Single Stream 2D Convolution for Robust Video Re-identification. ICPR 2020: 5190-5197 - [c69]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: 9843-9850 - [c68]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: 9889-9896 - [c67]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: 10418-10425 - [c66]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: 1-8 - [i42]Samet Akcay, Toby P. Breckon:
Towards Automatic Threat Detection: A Survey of Advances of Deep Learning within X-ray Security Imaging. CoRR abs/2001.01293 (2020) - [i41]Qian Wang, Najla Megherbi, Toby P. Breckon:
A Reference Architecture for Plausible Threat Image Projection (TIP) Within 3D X-ray Computed Tomography Volumes. CoRR abs/2001.05459 (2020) - [i40]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 abs/2003.12625 (2020) - [i39]Seyma Yucer, Samet Akçay, Noura Al Moubayed, Toby P. Breckon:
Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation. CoRR abs/2004.08945 (2020) - [i38]Qian Wang, Toby P. Breckon:
Cross-Domain Structure Preserving Projection for Heterogeneous Domain Adaptation. CoRR abs/2004.12427 (2020) - [i37]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 abs/2005.02436 (2020) - [i36]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 abs/2007.14314 (2020) - [i35]Qian Wang, Toby P. Breckon:
Generalized Zero-Shot Domain Adaptation via Coupled Conditional Variational Autoencoders. CoRR abs/2008.01214 (2020) - [i34]Qian Wang, Neelanjan Bhowmik, Toby P. Breckon:
Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery. CoRR abs/2008.01218 (2020) - [i33]Toby P. Breckon, Aishah Alsehaim:
Not 3D Re-ID: a Simple Single Stream 2D Convolution for Robust Video Re-identification. CoRR abs/2008.06318 (2020) - [i32]William Thomson, Neelanjan Bhowmik, Toby P. Breckon:
Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection. CoRR abs/2010.08833 (2020) - [i31]William Prew, Toby P. Breckon, Magnus Bordewich, Ulrik R. Beierholm:
Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional Loss. CoRR abs/2011.02888 (2020) - [i30]Qian Wang, Fanlin Meng, Toby P. Breckon:
Data Augmentation with norm-VAE for Unsupervised Domain Adaptation. CoRR abs/2012.00848 (2020) - [i29]Naif Alshammari, Samet Akcay, Toby P. Breckon:
Competitive Simplicity for Multi-Task Learning for Real-Time Foggy Scene Understanding via Domain Adaptation. CoRR abs/2012.05304 (2020) - [i28]Naif Alshammari, Samet Akcay, Toby P. Breckon:
Multi-Model Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation. CoRR abs/2012.05320 (2020) - [i27]Qian Wang, Toby P. Breckon:
Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery. CoRR abs/2012.11753 (2020)
2010 – 2019
- 2019
- [j20]Amir Atapour Abarghouei, Samet Akcay, Grégoire Payen de La Garanderie, Toby P. Breckon:
Generative adversarial framework for depth filling via Wasserstein metric, cosine transform and domain transfer. Pattern Recognit. 91: 232-244 (2019) - [j19]Bruna G. Maciel-Pearson, Samet Akçay, Amir Atapour Abarghouei, Christopher J. Holder, Toby P. Breckon:
Multi-Task Regression-Based Learning for Autonomous Unmanned Aerial Vehicle Flight Control Within Unstructured Outdoor Environments. IEEE Robotics Autom. Lett. 4(4): 4116-4123 (2019) - [j18]Weichuan Zhang, Changming Sun, Toby P. Breckon, Naif Alshammari:
Discrete Curvature Representations for Noise Robust Image Corner Detection. IEEE Trans. Image Process. 28(9): 4444-4459 (2019) - [c65]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: 183-193 - [c64]Mahnaz Mohammadi, Sardar F. Jaf, Andrew Stephen McGough, Toby P. Breckon, Peter Matthews, Georgios Theodoropoulos, Boguslaw Obara:
On the Use of Neural Text Generation for the Task of Optical Character Recognition. AICCSA 2019: 1-8 - [c63]Philip T. G. Jackson, Amir Atapour Abarghouei, Stephen Bonner, Toby P. Breckon, Boguslaw Obara:
Style Augmentation: Data Augmentation via Style Randomization. CVPR Workshops 2019: 83-92 - [c62]Amir Atapour Abarghouei, Toby P. Breckon:
Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach. CVPR 2019: 3373-3384 - [c61]Qian Wang, Ning Jia, Toby P. Breckon:
A Baseline for Multi-Label Image Classification Using an Ensemble of Deep Convolutional Neural Networks. ICIP 2019: 644-648 - [c60]Felix Stephenson, Toby P. Breckon, Ioannis Katramados:
Degraf-Flow: Extending Degraf Features for Accurate and Efficient Sparse-To-Dense Optical Flow Estimation. ICIP 2019: 1277-1281 - [c59]Shenhui Peng, Sei-ichiro Kamata, Toby P. Breckon:
A Ranking Based Attention Approach for Visual Tracking. ICIP 2019: 3073-3077 - [c58]Amir Atapour Abarghouei, Toby P. Breckon:
Monocular Segment-Wise Depth: Monocular Depth Estimation Based on a Semantic Segmentation Prior. ICIP 2019: 4295-4299 - [c57]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. ICMLA 2019: 420-425 - [c56]Philip A. Adey, Oliver K. Hamilton, Magnus Bordewich, Toby P. Breckon:
Region Based Anomaly Detection with Real-Time Training and Analysis. ICMLA 2019: 495-499 - [c55]Khalid N. Ismail, Toby P. Breckon:
On the Performance of Extended Real-Time Object Detection and Attribute Estimation within Urban Scene Understanding. ICMLA 2019: 641-646 - [c54]Ganesh Samarth C. A., Neelanjan Bhowmik, Toby P. Breckon:
Experimental Exploration of Compact Convolutional Neural Network Architectures for Non-Temporal Real-Time Fire Detection. ICMLA 2019: 653-658 - [c53]Neelanjan Bhowmik, Yona Falinie A. Gaus, Samet Akçay, Jack W. Barker, Toby P. Breckon:
On the Impact of Object and Sub-Component Level Segmentation Strategies for Supervised Anomaly Detection within X-Ray Security Imagery. ICMLA 2019: 986-991 - [c52]Nik Khadijah Nik Aznan, Jason D. Connolly, Noura Al Moubayed, Toby P. Breckon:
Using Variable Natural Environment Brain-Computer Interface Stimuli for Real-time Humanoid Robot Navigation. ICRA 2019: 4889-4895 - [c51]Samet Akçay, Amir Atapour Abarghouei, Toby P. Breckon:
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection. IJCNN 2019: 1-8 - [c50]Nik Khadijah Nik Aznan, Amir Atapour Abarghouei, Stephen Bonner, Jason D. Connolly, Noura Al Moubayed, Toby P. Breckon:
Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification. IJCNN 2019: 1-8 - [c49]Yona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akçay, Paolo M. Guillén-Garcia, Jack W. Barker, Toby P. Breckon:
Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery. IJCNN 2019: 1-8 - [c48]Qian Wang, Penghui Bu, Toby P. Breckon:
Unifying Unsupervised Domain Adaptation and Zero-Shot Visual Recognition. IJCNN 2019: 1-8 - [d1]Bruna G. Maciel-Pearson, Samet Akçay, Amir Atapour-Abarghouei, Christopher J. Holder, Toby P. Breckon:
Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments [dataset]. Zenodo, 2019
- [i26]Samet Akçay, Amir Atapour Abarghouei, Toby P. Breckon:
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection. CoRR abs/1901.08954 (2019) - [i25]Felix Stephenson, Toby P. Breckon, Ioannis Katramados:
DeGraF-Flow: Extending DeGraF Features for accurate and efficient sparse-to-dense optical flow estimation. CoRR abs/1901.09971 (2019) - [i24]Qian Wang, Penghui Bu, Toby P. Breckon:
Unifying Unsupervised Domain Adaptation and Zero-Shot Visual Recognition. CoRR abs/1903.10601 (2019) - [i23]Qian Wang, Khalid N. Ismail, Toby P. Breckon:
An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening. CoRR abs/1903.10604 (2019) - [i22]Amir Atapour Abarghouei, Toby P. Breckon:
Veritatem Dies Aperit- Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach. CoRR abs/1903.10764 (2019) - [i21]Yona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akçay, Paolo M. Guillén-Garcia, Jack W. Barker, Toby P. Breckon:
Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery. CoRR abs/1904.05304 (2019) - [i20]Fady Medhat, Mahnaz Mohammadi, Sardar F. Jaf, Chris G. Willcocks, Toby P. Breckon, Peter Matthews, Andrew Stephen McGough, Georgios Theodoropoulos, Boguslaw Obara:
TMIXT: A process flow for Transcribing MIXed handwritten and machine-printed Text. CoRR abs/1904.12387 (2019) - [i19]Bruna G. Maciel-Pearson, Samet Akcay, Amir Atapour Abarghouei, Christopher J. Holder, Toby P. Breckon:
Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments. CoRR abs/1907.08320 (2019) - [i18]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. CoRR abs/1908.05540 (2019) - [i17]Naif Alshammari, Samet Akçay, Toby P. Breckon:
Multi-Task Learning for Automotive Foggy Scene Understanding via Domain Adaptation to an Illumination-Invariant Representation. CoRR abs/1909.07697 (2019) - [i16]Neelanjan Bhowmik, Qian Wang, Yona Falinie A. Gaus, Marcin Szarek, Toby P. Breckon:
The Good, the Bad and the Ugly: Evaluating Convolutional Neural Networks for Prohibited Item Detection Using Real and Synthetically Composited X-ray Imagery. CoRR abs/1909.11508 (2019) - [i15]Qian Wang, Toby P. Breckon:
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling. CoRR abs/1911.07982 (2019) - [i14]Qian Wang, Toby P. Breckon:
Segmentation Guided Attention Network for Crowd Counting via Curriculum Learning. CoRR abs/1911.07990 (2019) - [i13]Neelanjan Bhowmik, Yona Falinie A. Gaus, Samet Akcay, Jack W. Barker, Toby P. Breckon:
On the Impact of Object and Sub-component Level Segmentation Strategies for Supervised Anomaly Detection within X-ray Security Imagery. CoRR abs/1911.08216 (2019) - [i12]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 abs/1911.08966 (2019) - [i11]Ganesh Samarth C. A., Neelanjan Bhowmik, Toby P. Breckon:
Experimental Exploration of Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection. CoRR abs/1911.09010 (2019) - [i10]Bruna G. Maciel-Pearson, Letizia Marchegiani, Samet Akcay, Amir Atapour Abarghouei, James Garforth, Toby P. Breckon:
Online Deep Reinforcement Learning for Autonomous UAV Navigation and Exploration of Outdoor Environments. CoRR abs/1912.05684 (2019) - 2018
- [j17]Amir Atapour Abarghouei, Toby P. Breckon:
A comparative review of plausible hole filling strategies in the context of scene depth image completion. Comput. Graph. 72: 39-58 (2018) - [j16]Cheng Qian, Toby P. Breckon, Zezhong Xu:
Clustering in pursuit of temporal correlation for human motion segmentation. Multim. Tools Appl. 77(15): 19615-19631 (2018) - [j15]Samet Akcay, Mikolaj E. Kundegorski, Chris G. Willcocks, Toby P. Breckon:
Using Deep Convolutional Neural Network Architectures for Object Classification and Detection Within X-Ray Baggage Security Imagery. IEEE Trans. Inf. Forensics Secur. 13(9): 2203-2215 (2018) - [c47]Samet Akcay, Amir Atapour Abarghouei, Toby P. Breckon:
GANomaly: Semi-supervised Anomaly Detection via Adversarial Training. ACCV (3) 2018: 622-637 - [c46]Fady Medhat, Mahnaz Mohammadi, Sardar F. Jaf, Chris G. Willcocks, Toby P. Breckon, Peter Matthews, Andrew Stephen McGough, Georgios Theodoropoulos, Boguslaw Obara:
TMIXT: A process flow for Transcribing MIXed handwritten and machine-printed Text. IEEE BigData 2018: 2986-2994 - [c45]Yaakov HaCohen-Kerner, Yair Yigal, Elyashiv Shayovitz, Daniel Miller, Toby P. Breckon:
Author Profiling: Gender Prediction from Tweets and Images: Notebook for PAN at CLEF 2018. CLEF (Working Notes) 2018 - [c44]Michael Loveday, Toby P. Breckon:
On the Impact of Parallax Free Colour and Infrared Image Co-Registration to Fused Illumination Invariant Adaptive Background Modelling. CVPR Workshops 2018: 1186-1195 - [c43]Amir Atapour Abarghouei, Toby P. Breckon:
Real-Time Monocular Depth Estimation Using Synthetic Data With Domain Adaptation via Image Style Transfer. CVPR 2018: 2800-2810 - [c42]Grégoire Payen de La Garanderie, Amir Atapour Abarghouei, Toby P. Breckon:
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360 ^\circ ∘ Panoramic Imagery. ECCV (13) 2018: 812-830 - [c41]Amir Atapour Abarghouei, Toby P. Breckon:
Extended Patch Prioritization for Depth Filling Within Constrained Exemplar-Based RGB-D Image Completion. ICIAR 2018: 306-314 - [c40]Kaiwen Lin, Toby P. Breckon:
Real-Time Low-Cost Omni-Directional Stereo Vision via Bi-polar Spherical Cameras. ICIAR 2018: 315-325 - [c39]Christopher J. Holder, Toby P. Breckon:
Encoding Stereoscopic Depth Features for Scene Understanding in off-Road Environments. ICIAR 2018: 427-434 - [c38]Andrew J. Dunnings, Toby P. Breckon:
Experimentally Defined Convolutional Neural Network Architecture Variants for Non-Temporal Real-Time Fire Detection. ICIP 2018: 1558-1562 - [c37]Ziyue Dong, Sei-ichiro Kamata, Toby P. Breckon:
Infrared Image Colorization Using a S-Shape Network. ICIP 2018: 2242-2246 - [c36]Tiancheng Guo, Samet Akcay, Philip A. Adey, Toby P. Breckon:
On the Impact of Varying Region Proposal Strategies for Raindrop Detection and Classification Using Convolutional Neural Networks. ICIP 2018: 3413-3417 - [c35]Naif Alshammari, Samet Akcay, Toby P. Breckon:
On the Impact of Illumination-Invariant Image Pre-transformation for Contemporary Automotive Semantic Scene Understanding. Intelligent Vehicles Symposium 2018: 1027-1032 - [c34]Christopher J. Holder, Toby P. Breckon:
Learning to Drive: Using Visual Odometry to Bootstrap Deep Learning for Off-Road Path Prediction. Intelligent Vehicles Symposium 2018: 2104-2110 - [c33]Nik Khadijah Nik Aznan, Stephen Bonner, Jason D. Connolly, Noura Al Moubayed, Toby P. Breckon:
On the Classification of SSVEP-Based Dry-EEG Signals via Convolutional Neural Networks. SMC 2018: 3726-3731 - [c32]Bruna G. Maciel-Pearson, Patrice Carbonneau, Toby P. Breckon:
Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation Within the Forest Canopy. TAROS 2018: 147-158 - [i9]Christopher J. Holder, Toby P. Breckon, Xiong Wei:
Depth Not Needed - An Evaluation of RGB-D Feature Encodings for Off-Road Scene Understanding by Convolutional Neural Network. CoRR abs/1801.01235 (2018) - [i8]Nik Khadijah Nik Aznan, Stephen Bonner, Jason D. Connolly, Noura Al Moubayed, Toby P. Breckon:
On the Classification of SSVEP-Based Dry-EEG Signals via Convolutional Neural Networks. CoRR abs/1805.04157 (2018) - [i7]Samet Akcay, Amir Atapour Abarghouei, Toby P. Breckon:
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training. CoRR abs/1805.06725 (2018) - [i6]Grégoire Payen de La Garanderie, Amir Atapour Abarghouei, Toby P. Breckon:
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery. CoRR abs/1808.06253 (2018) - [i5]Philip T. G. Jackson, Amir Atapour Abarghouei, Stephen Bonner, Toby P. Breckon, Boguslaw Obara:
Style Augmentation: Data Augmentation via Style Randomization. CoRR abs/1809.05375 (2018) - [i4]Xin Zhang, Qian Wang, Toby P. Breckon, Ioannis P. Ivrissimtzis:
Watermark Retrieval from 3D Printed Objects via Convolutional Neural Networks. CoRR abs/1811.07640 (2018) - [i3]Qian Wang, Ning Jia, Toby P. Breckon:
A Baseline for Multi-Label Image Classification Using Ensemble Deep CNN. CoRR abs/1811.08412 (2018) - [i2]Nik Khadijah Nik Aznan, Jason D. Connolly, Noura Al Moubayed, Toby P. Breckon:
Using Variable Natural Environment Brain-Computer Interface Stimuli for Real-time Humanoid Robot Navigation. CoRR abs/1811.10280 (2018) - 2017
- [j14]Weichuan Zhang, Yali Zhao, Toby P. Breckon, Long Chen:
Noise robust image edge detection based upon the automatic anisotropic Gaussian kernels. Pattern Recognit. 63: 193-205 (2017) - [c31]Amir Atapour Abarghouei, Toby P. Breckon:
DepthComp: Real-time Depth Image Completion Based on Prior Semantic Scene Segmentation. BMVC 2017 - [c30]Samet Akcay, Toby P. Breckon:
An evaluation of region based object detection strategies within X-ray baggage security imagery. ICIP 2017: 1337-1341 - 2016
- [c29]Christopher J. Holder, Toby P. Breckon, Wei Xiong:
From On-Road to Off: Transfer Learning Within a Deep Convolutional Neural Network for Segmentation and Classification of Off-Road Scenes. ECCV Workshops (1) 2016: 149-162 - [c28]Noura Al Moubayed, Toby P. Breckon, Peter Matthews, A. Stephen McGough:
SMS Spam Filtering Using Probabilistic Topic Modelling and Stacked Denoising Autoencoder. ICANN (2) 2016: 423-430 - [c27]Mikolaj E. Kundegorski, Samet Akcay, Michael Devereux, André Mouton, Toby P. Breckon:
On using feature descriptors as visual words for object detection within X-ray baggage security screening. ICDP 2016: 1-6 - [c26]Ioannis Katramados, Toby P. Breckon:
Dense gradient-based features (DEGRAF) for computationally efficient and invariant feature extraction in real-time applications. ICIP 2016: 300-304 - [c25]Samet Akcay, Mikolaj E. Kundegorski, Michael Devereux, Toby P. Breckon:
Transfer learning using convolutional neural networks for object classification within X-ray baggage security imagery. ICIP 2016: 1057-1061 - [c24]Kenjiro Sugimoto, Toby P. Breckon, Sei-ichiro Kamata:
Constant-time bilateral filter using spectral decomposition. ICIP 2016: 3319-3323 - [c23]Oliver K. Hamilton, Toby P. Breckon:
Generalized dynamic object removal for dense stereo vision based scene mapping using synthesised optical flow. ICIP 2016: 3439-3443 - [c22]Amir Atapour Abarghouei, Grégoire Payen de La Garanderie, Toby P. Breckon:
Back to Butterworth - a Fourier basis for 3D surface relief hole filling within RGB-D imagery. ICPR 2016: 2813-2818 - [i1]Noura Al Moubayed, Toby P. Breckon, Peter Matthews, A. Stephen McGough:
SMS Spam Filtering using Probabilistic Topic Modelling and Stacked Denoising Autoencoder. CoRR abs/1606.05554 (2016) - 2015
- [j13]Cheng Qian, Toby P. Breckon, Hui Li:
Robust visual tracking via speedup multiple kernel ridge regression. J. Electronic Imaging 24(5): 053016 (2015) - [j12]André Mouton, Toby P. Breckon:
Materials-based 3D segmentation of unknown objects from dual-energy computed tomography imagery in baggage security screening. Pattern Recognit. 48(6): 1961-1978 (2015) - [j11]Gregory T. Flitton, André Mouton, Toby P. Breckon:
Object classification in 3D baggage security computed tomography imagery using visual codebooks. Pattern Recognit. 48(8): 2489-2499 (2015) - [j10]Thomas Kriechbaumer, Kim Blackburn, Toby P. Breckon, Oliver K. Hamilton, Mónica Rivas Casado:
Quantitative Evaluation of Stereo Visual Odometry for Autonomous Vessel Localisation in Inland Waterway Sensing Applications. Sensors 15(12): 31869-31887 (2015) - [c21]Dereck D. Webster, Toby P. Breckon:
Improved raindrop detection using combined shape and saliency descriptors with scene context isolation. ICIP 2015: 4376-4380 - [c20]Pedro Cavestcmy, Antonio L. Rodriguez, Humberto Martínez Barberá, Toby P. Breckon:
Improved 3D sparse maps for high-performance SFM with low-cost omnidirectional robots. ICIP 2015: 4927-4931 - 2014
- [c19]Grégoire Payen de La Garanderie, Toby P. Breckon:
Improved Depth Recovery In Consumer Depth Cameras via Disparity Space Fusion within Cross-spectral Stereo. BMVC 2014 - [c18]André Mouton, Toby P. Breckon, Gregory T. Flitton, Najla Megherbi Bouallagu:
3D object classification in baggage computed tomography imagery using randomised clustering forests. ICIP 2014: 5202-5206 - 2013
- [b1]Robert B. Fisher, Toby P. Breckon, Kenneth M. Dawson-Howe, Andrew W. Fitzgibbon, Craig Robertson, Emanuele Trucco, Christopher K. I. Williams:
Dictionary of Computer Vision and Image Processing, Second Edition. Wiley 2013, ISBN 978-1-119-94186-6, pp. I-VIII, 1-372 - [j9]Gregory T. Flitton, Toby P. Breckon, Najla Megherbi:
A comparison of 3D interest point descriptors with application to airport baggage object detection in complex CT imagery. Pattern Recognit. 46(9): 2420-2436 (2013) - [j8]Marina Magnabosco, Toby P. Breckon:
Cross-spectral visual simultaneous localization and mapping (SLAM) with sensor handover. Robotics Auton. Syst. 61(2): 195-208 (2013) - [c17]Oliver K. Hamilton, Toby P. Breckon, Xuejiao Bai, Sei-ichiro Kamata:
A foreground object based quantitative assessment of dense stereo approaches for use in automotive environments. ICIP 2013: 418-422 - [c16]André Mouton, Najla Megherbi, Katrien Van Slambrouck, Johan Nuyts, Toby P. Breckon:
A distance driven method for metal artefact reduction in computed tomography. ICIP 2013: 2334-2338 - [c15]João Faria, Stanislav Bagley, Stefan M. Rüger, Toby P. Breckon:
Challenges of finding aesthetically pleasing images. WIAMIS 2013: 1-4 - 2012
- [j7]Filip Mroz, Toby P. Breckon:
An empirical comparison of real-time dense stereo approaches for use in the automotive environment. EURASIP J. Image Video Process. 2012: 13 (2012) - [j6]Ji Wan Han, Toby P. Breckon, David A. Randell, Gabriel Landini:
The application of support vector machine classification to detect cell nuclei for automated microscopy. Mach. Vis. Appl. 23(1): 15-24 (2012) - [j5]Alireza Kheyrollahi, Toby P. Breckon:
Automatic real-time road marking recognition using a feature driven approach. Mach. Vis. Appl. 23(1): 123-133 (2012) - [j4]Toby P. Breckon, Robert B. Fisher:
A hierarchical extension to 3D non-parametric surface relief completion. Pattern Recognit. 45(1): 172-185 (2012) - [c14]Peter Pinggera, Toby P. Breckon, Horst Bischof:
On Cross-Spectral Stereo Matching using Dense Gradient Features. BMVC 2012: 1-12 - [c13]Gregory T. Flitton, Toby P. Breckon, Najla Megherbi:
A 3D extension to cortex like mechanisms for 3D object class recognition. CVPR 2012: 3634-3641 - [c12]André Mouton, Najla Megherbi, Gregory T. Flitton, Suzanne Bizot, Toby P. Breckon:
A novel intensity limiting approach to Metal Artefact Reduction in 3D CT baggage imagery. ICIP 2012: 2057-2060 - [c11]Najla Megherbi, Ji Wan Han, Toby P. Breckon, Gregory T. Flitton:
A comparison of classification approaches for threat detection in CT based baggage screening. ICIP 2012: 3109-3112 - [c10]Najla Megherbi Bouallagu, Toby P. Breckon, Gregory T. Flitton, André Mouton:
Fully automatic 3D Threat Image Projection: Application to densely cluttered 3D Computed Tomography baggage images. IPTA 2012: 153-159 - 2011
- [j3]Isabelle Tang, Toby P. Breckon:
Automatic Road Environment Classification. IEEE Trans. Intell. Transp. Syst. 12(2): 476-484 (2011) - [c9]Anna Gaszczak, Toby P. Breckon, Ji Wan Han:
Real-time people and vehicle detection from UAV imagery. Intelligent Robots and Computer Vision: Algorithms and Techniques 2011: 78780B - [c8]Ioannis Katramados, Toby P. Breckon:
Real-time visual saliency by Division of Gaussians. ICIP 2011: 1701-1704 - [c7]Audrey Chenebert, Toby P. Breckon, Anna Gaszczak:
A non-temporal texture driven approach to real-time fire detection. ICIP 2011: 1741-1744 - 2010
- [c6]Gregory T. Flitton, Toby P. Breckon, Najla Megherbi Bouallagu:
Object Recognition using 3D SIFT in Complex CT Volumes. BMVC 2010: 1-12 - [c5]Najla Megherbi, Gregory T. Flitton, Toby P. Breckon:
A classifier based approach for the detection of potential threats in CT based Baggage Screening. ICIP 2010: 1833-1836
2000 – 2009
- 2009
- [c4]Ioannis Katramados, Steve Crumpler, Toby P. Breckon:
Real-Time Traversable Surface Detection by Colour Space Fusion and Temporal Analysis. ICVS 2009: 265-274 - 2008
- [j2]Toby P. Breckon, Robert B. Fisher:
Three-Dimensional Surface Relief Completion Via Nonparametric Techniques. IEEE Trans. Pattern Anal. Mach. Intell. 30(12): 2249-2255 (2008) - 2005
- [j1]Toby P. Breckon, Robert B. Fisher:
Amodal volume completion: 3D visual completion. Comput. Vis. Image Underst. 99(3): 499-526 (2005) - [c3]Toby P. Breckon, Robert B. Fisher:
Non-Parametric 3D Surface Completion. 3DIM 2005: 573-580 - [c2]Toby P. Breckon, Robert B. Fisher:
Plausible 3D Colour Surface Completion Using Non-parametric Techniques. IMA Conference on the Mathematics of Surfaces 2005: 102-120 - 2004
- [c1]Toby P. Breckon, Robert B. Fisher:
Environment Authentication Through 3D Structural Analysis. ICIAR (1) 2004: 680-687
Coauthor Index
Amir Atapour Abarghouei
aka: Amir Atapour-Abarghouei
aka: Amir Atapour-Abarghouei
Samet Akcay
aka: Samet Akçay
aka: Samet Akçay
Najla Megherbi Bouallagu
aka: Najla Megherbi
aka: Najla Megherbi
Yona Falinie Binti A. Gaus
aka: Yona Falinie A. Gaus
aka: Yona Falinie A. Gaus
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-11 21:31 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
