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Books and Theses
- 2019
[b1]Amir Atapour Abarghouei:
Immaculate depth perception: recovering 3D scene information via depth completion and prediction. Durham University, UK, 2019
Journal Articles
- 2024
- [j6]Regan Cain Bolton, Rahele Kafieh
, Fereshteh Ashtari, Amir Atapour-Abarghouei:
Diagnosis of Multiple Sclerosis by Detecting Asymmetry Within the Retina Using a Similarity-Based Neural Network. IEEE Access 12: 62975-62985 (2024) - [j5]Shuang Chen, Amir Atapour-Abarghouei, Hubert P. H. Shum:
HINT: High-Quality INpainting Transformer With Mask-Aware Encoding and Enhanced Attention. IEEE Trans. Multim. 26: 7649-7660 (2024) - 2023
- [j4]Shuang Chen, Amir Atapour-Abarghouei, Edmond S. L. Ho, Hubert P. H. Shum:
INCLG: Inpainting for non-cleft lip generation with a multi-task image processing network. Softw. Impacts 17: 100517 (2023) - 2019
- [j3]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) - [j2]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) - 2018
- [j1]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)
Conference and Workshop Papers
- 2024
- [c36]Rob Geada, David Towers, Matthew Forshaw, Amir Atapour-Abarghouei, A. Stephen McGough:
Insights from the Use of Previously Unseen Neural Architecture Search Datasets. CVPR 2024: 22541-22550 - [c35]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 - [c34]Marc North, Amir Atapour-Abarghouei, Nelly Bencomo:
Code Gradients: Towards Automated Traceability of LLM-Generated Code. RE 2024: 321-329 - 2023
- [c33]Mohamad Elhadi Abushofa, Amir Atapour Abarghouei, Matthew Forshaw, Andrew Stephen McGough:
FEGR: Feature Enhanced Graph Representation Method for Graph Classification. ASONAM 2023: 371-378 - [c32]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 - [c31]Mehmet Cengiz, Matthew Forshaw, Amir Atapour-Abarghouei, Andrew Stephen McGough:
Predicting the Performance of a Computing System with Deep Networks. ICPE 2023: 91-98 - 2022
- [c30]Shuang Chen, Amir Atapour-Abarghouei, Jane Kerby, Edmond S. L. Ho, David C. G. Sainsbury, Sophie Butterworth, Hubert P. H. Shum:
A Feasibility Study on Image Inpainting for Non-cleft Lip Generation from Patients with Cleft Lip. BHI 2022: 1-4 - [c29]Michael Luke Battle, Amir Atapour-Abarghouei, Andrew Stephen McGough:
Siamese Neural Networks for Skin Cancer Classification and New Class Detection using Clinical and Dermoscopic Image Datasets. IEEE Big Data 2022: 4346-4355 - [c28]Peter J. Bevan, Amir Atapour-Abarghouei:
Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification. ICML 2022: 1874-1892 - [c27]Peter J. Bevan, Amir Atapour-Abarghouei:
Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification. DART@MICCAI 2022: 1-11 - 2021
- [c26]Steven Carrell, Amir Atapour Abarghouei:
Identification of Driver Phone Usage Violations via State-of-the-Art Object Detection with Tracking. IEEE BigData 2021: 1236-1241 - [c25]Amir Atapour-Abarghouei, Stephen Bonner, Andrew Stephen McGough:
Rank over Class: The Untapped Potential of Ranking in Natural Language Processing. IEEE BigData 2021: 3950-3959 - [c24]Ciara Blackledge, Amir Atapour-Abarghouei:
Transforming Fake News: Robust Generalisable News Classification Using Transformers. IEEE BigData 2021: 3960-3968 - [c23]Jack Stelling, Amir Atapour-Abarghouei:
"Just Drive": Colour Bias Mitigation for Semantic Segmentation in the Context of Urban Driving. IEEE BigData 2021: 3975-3984 - 2020
- [c22]John Brennan, Stephen Bonner, Amir Atapour Abarghouei, Philip T. G. Jackson, Boguslaw Obara, Andrew Stephen McGough:
Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural Networks. IEEE BigData 2020: 2725-2734 - [c21]Amir Atapour Abarghouei, A. Stephen McGough, David S. Wall:
Resolving the cybersecurity Data Sharing Paradox to scale up cybersecurity via a co-production approach towards data sharing. IEEE BigData 2020: 3867-3876 - [c20]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 - [c19]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 - 2019
- [c18]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 - [c17]Amir Atapour Abarghouei, Stephen Bonner, Andrew Stephen McGough:
A King's Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation. IEEE BigData 2019: 1601-1606 - [c16]Amir Atapour Abarghouei, Stephen Bonner, Andrew Stephen McGough:
Volenti non fit injuria: Ransomware and its Victims. IEEE BigData 2019: 4701-4707 - [c15]Stephen Bonner, Amir Atapour Abarghouei, Philip T. G. Jackson, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara:
Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions. IEEE BigData 2019: 5336-5345 - [c14]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 - [c13]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 - [c12]Amir Atapour Abarghouei, Toby P. Breckon:
Monocular Segment-Wise Depth: Monocular Depth Estimation Based on a Semantic Segmentation Prior. ICIP 2019: 4295-4299 - [c11]Samet Akçay, Amir Atapour Abarghouei, Toby P. Breckon:
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection. IJCNN 2019: 1-8 - [c10]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 - 2018
- [c9]Samet Akcay, Amir Atapour Abarghouei, Toby P. Breckon:
GANomaly: Semi-supervised Anomaly Detection via Adversarial Training. ACCV (3) 2018: 622-637 - [c8]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 - [c7]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 - [c6]Amir Atapour Abarghouei, Toby P. Breckon:
Extended Patch Prioritization for Depth Filling Within Constrained Exemplar-Based RGB-D Image Completion. ICIAR 2018: 306-314 - 2017
- [c5]Amir Atapour Abarghouei, Toby P. Breckon:
DepthComp: Real-time Depth Image Completion Based on Prior Semantic Scene Segmentation. BMVC 2017 - 2016
- [c4]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 - 2010
- [c3]Mostafa Erfani, Afshin Ghanizadeh, Amir Atapour Abarghouei, Saman Sinaie, Siti Mariyam Hj. Shamsuddin:
A Modified PSO Method Enhanced with Fuzzy Inference System for Solving the Planar Graph Coloring Problem. IC-AI 2010: 160-165 - [c2]Afshin Ghanizadeh, Saman Sinaie, Amir Atapour Abarghouei, Emadaldin Mozafari Majd, Siti Mariyam Hj. Shamsuddin:
A Robust Fuzzy and Cellular Learning Automata Edge Detection and Enhancement Method. IPCV 2010: 551-556 - 2009
- [c1]Amir Atapour Abarghouei, Afshin Ghanizadeh, Saman Sinaie, Siti Mariyam Shamsuddin:
A Survey of Pattern Recognition Applications in Cancer Diagnosis. SoCPaR 2009: 448-453
Data and Artifacts
- 2019
- [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
Informal and Other Publications
- 2024
- [i30]Shuang Chen, Amir Atapour-Abarghouei, Hubert P. H. Shum:
HINT: High-quality INPainting Transformer with Mask-Aware Encoding and Enhanced Attention. CoRR abs/2402.14185 (2024) - [i29]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) - [i28]Rob Geada, David Towers, Matthew Forshaw, Amir Atapour-Abarghouei, A. Stephen McGough:
Insights from the Use of Previously Unseen Neural Architecture Search Datasets. CoRR abs/2404.02189 (2024) - [i27]Shuang Chen, Amir Atapour-Abarghouei, Haozheng Zhang, Hubert P. H. Shum:
MxT: Mamba x Transformer for Image Inpainting. CoRR abs/2407.16126 (2024) - 2023
- [i26]Mehmet Cengiz, Matthew Forshaw, Amir Atapour-Abarghouei, Andrew Stephen McGough:
Predicting the Performance of a Computing System with Deep Networks. CoRR abs/2302.13638 (2023) - [i25]Shuang Chen, Amir Atapour-Abarghouei, Edmond S. L. Ho, Hubert P. H. Shum:
INCLG: Inpainting for Non-Cleft Lip Generation with a Multi-Task Image Processing Network. CoRR abs/2305.10589 (2023) - 2022
- [i24]Peter J. Bevan, Amir Atapour-Abarghouei:
Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification. CoRR abs/2202.02832 (2022) - [i23]David Towers, Matthew Forshaw, Amir Atapour-Abarghouei, Andrew Stephen McGough:
Long-term Reproducibility for Neural Architecture Search. CoRR abs/2207.04821 (2022) - [i22]Shuang Chen, Amir Atapour-Abarghouei, Jane Kerby, Edmond S. L. Ho, David C. G. Sainsbury, Sophie Butterworth, Hubert P. H. Shum:
A Feasibility Study on Image Inpainting for Non-cleft Lip Generation from Patients with Cleft Lip. CoRR abs/2208.01149 (2022) - [i21]Michael Luke Battle, Amir Atapour-Abarghouei, Andrew Stephen McGough:
Siamese Neural Networks for Skin Cancer Classification and New Class Detection using Clinical and Dermoscopic Image Datasets. CoRR abs/2212.06130 (2022) - 2021
- [i20]Steven Carrell, Amir Atapour Abarghouei:
Identification of Driver Phone Usage Violations via State-of-the-Art Object Detection with Tracking. CoRR abs/2109.02119 (2021) - [i19]Ciara Blackledge, Amir Atapour-Abarghouei:
Transforming Fake News: Robust Generalisable News Classification Using Transformers. CoRR abs/2109.09796 (2021) - [i18]Peter J. Bevan, Amir Atapour Abarghouei:
Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification. CoRR abs/2109.09818 (2021) - [i17]Jack Stelling, Amir Atapour-Abarghouei:
"Just Drive": Colour Bias Mitigation for Semantic Segmentation in the Context of Urban Driving. CoRR abs/2112.01121 (2021) - 2020
- [i16]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) - [i15]Amir Atapour Abarghouei, Stephen Bonner, Andrew Stephen McGough:
Rank over Class: The Untapped Potential of Ranking in Natural Language Processing. CoRR abs/2009.05160 (2020) - [i14]John Brennan, Stephen Bonner, Amir Atapour Abarghouei, Philip T. G. Jackson, Boguslaw Obara, Andrew Stephen McGough:
Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural Networks. CoRR abs/2010.12635 (2020) - [i13]Amir Atapour Abarghouei, Andrew Stephen McGough, David Stanley Wall:
Resolving the cybersecurity Data Sharing Paradox to scale up cybersecurity via a co-production approach towards data sharing. CoRR abs/2011.12709 (2020) - 2019
- [i12]Samet Akçay, Amir Atapour Abarghouei, Toby P. Breckon:
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection. CoRR abs/1901.08954 (2019) - [i11]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) - [i10]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) - [i9]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) - [i8]Amir Atapour Abarghouei, Stephen Bonner, Andrew Stephen McGough:
A Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation. CoRR abs/1908.06750 (2019) - [i7]Stephen Bonner, Amir Atapour Abarghouei, Philip T. G. Jackson, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara:
Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions. CoRR abs/1908.08402 (2019) - [i6]Amir Atapour Abarghouei, Stephen Bonner, Andrew Stephen McGough:
Volenti non fit injuria: Ransomware and its Victims. CoRR abs/1911.08364 (2019) - [i5]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
- [i4]Samet Akcay, Amir Atapour Abarghouei, Toby P. Breckon:
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training. CoRR abs/1805.06725 (2018) - [i3]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) - [i2]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) - 2017
- [i1]Julian G. Zilly, Amit Boyarski, Micael Carvalho, Amir Atapour Abarghouei, Konstantinos Amplianitis, Aleksandr Krasnov, Massimiliano Mancini, Hernán Gonzalez, Riccardo Spezialetti, Carlos Sampedro Pérez, Hao Li:
Inspiring Computer Vision System Solutions. CoRR abs/1707.07210 (2017)
Coauthor Index
A. Stephen McGough
aka: Andrew Stephen McGough
aka: Andrew Stephen McGough
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