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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) - [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]