Stop the war!Остановите войну!
for scientists:
Google
Google Scholar
Semantic Scholar
IA 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
- 2022
[j24]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)- [j23]Qian Wang, Toby P. Breckon:
Cross-domain structure preserving projection for heterogeneous domain adaptation. Pattern Recognit. 123: 108362 (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) - [c90]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 - [c89]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 - [c88]Seyma Yucer, Furkan Tektas, Noura Al Moubayed, Toby P. Breckon:
Measuring Hidden Bias within Face Recognition via Racial Phenotypes. WACV 2022: 3202-3211 - [i54]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) - [i53]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) - 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) - [c87]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 - [c86]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 - [c85]Qian Wang, Toby P. Breckon:
Source Class Selection With Label Propagation For Partial Domain Adaptation. ICIP 2021: 769-773 - [c84]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 - [c83]Qian Wang, Toby P. Breckon:
Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery. ICMLA 2021: 75-82 - [c82]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 - [c81]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 - [c80]Philip A. Adey, Samet Akçay, Magnus Bordewich, Toby P. Breckon:
Autoencoders Without Reconstruction for Textural Anomaly Detection. IJCNN 2021: 1-8 - [c79]Jack W. Barker, Toby P. Breckon:
PANDA: Perceptually Aware Neural Detection of Anomalies. IJCNN 2021: 1-8 - [c78]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 - [c77]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 - [c76]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
- [c75]Qian Wang, Toby P. Breckon:
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling. AAAI 2020: 6243-6250 - [c74]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 - [c73]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 - [c72]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 - [c71]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 - [c70]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 - [c69]Toby P. Breckon, Aishah Alsehaim:
Not 3D Re-ID: Simple Single Stream 2D Convolution for Robust Video Re-identification. ICPR 2020: 5190-5197 - [c68]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 - [c67]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 - [c66]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 - [c65]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) - [c64]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 - [c63]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 - [c62]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 - [c61]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 - [c60]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 - [c59]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 - [c58]Shenhui Peng, Sei-ichiro Kamata, Toby P. Breckon:
A Ranking Based Attention Approach for Visual Tracking. ICIP 2019: 3073-3077 - [c57]Amir Atapour Abarghouei, Toby P. Breckon:
Monocular Segment-Wise Depth: Monocular Depth Estimation Based on a Semantic Segmentation Prior. ICIP 2019: 4295-4299 - [c56]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 - [c55]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 - [c54]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 - [c53]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 - [c52]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 - [c51]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 - [c50]Samet Akçay, Amir Atapour Abarghouei, Toby P. Breckon:
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection. IJCNN 2019: 1-8 - [c49]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 - [c48]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 - [c47]Qian Wang, Penghui Bu, Toby P. Breckon:
Unifying Unsupervised Domain Adaptation and Zero-Shot Visual Recognition. IJCNN 2019: 1-8 - [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) - [c46]Samet Akcay, Amir Atapour Abarghouei, Toby P. Breckon:
GANomaly: Semi-supervised Anomaly Detection via Adversarial Training. ACCV (3) 2018: 622-637 - [c45]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 - [c44]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 - [c43]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 - [c42]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 - [c41]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 - [c40]Amir Atapour Abarghouei, Toby P. Breckon:
Extended Patch Prioritization for Depth Filling Within Constrained Exemplar-Based RGB-D Image Completion. ICIAR 2018: 306-314 - [c39]Kaiwen Lin, Toby P. Breckon:
Real-Time Low-Cost Omni-Directional Stereo Vision via Bi-polar Spherical Cameras. ICIAR 2018: 315-325 - [c38]Christopher J. Holder, Toby P. Breckon:
Encoding Stereoscopic Depth Features for Scene Understanding in off-Road Environments. ICIAR 2018: 427-434 - [c37]Andrew J. Dunnings, Toby P. Breckon:
Experimentally Defined Convolutional Neural Network Architecture Variants for Non-Temporal Real-Time Fire Detection. ICIP 2018: 1558-1562 - [c36]Ziyue Dong, Sei-ichiro Kamata, Toby P. Breckon:
Infrared Image Colorization Using a S-Shape Network. ICIP 2018: 2242-2246 - [c35]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 - [c34]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 - [c33]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 - [c32]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 - [c31]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]