Personal information

Verified email domains

United Kingdom

Biography

Amir Atapour-Abarghouei is an Assistant Professor in Computer Science within the VIViD Research Group (Vision, Imaging and Visualisation in Durham) in the Department of Computer Science at Durham University in the UK.. He received his M.Sc. degree in 2010 and his B.Sc. degree in 2008. He completed his Ph.D. in the Department of Computer Science at Durham University (UK). After that, he joined Newcastle University as a Post-Doctoral Research Associate working on various applications of machine learning approaches within the areas of computer vision and natural language processing. Subsequently, he began working as a Lecturer in Computer Science at the School of Computing Science at Newcastle University in the UK. His research interests span across the areas of computer vision, anomaly detection and deep learning for semantic, geometric scene understanding and natural language processing. His work includes generalised high-impact GANomaly anomaly detection approach, which is now part of the Intel OpenVINO/GETI AI product line and has been mentioned in around 40 international patents as the underpinning anomaly detection approach in industrial monitoring/sensing solutions. Amir has Co-organised the highly prized CVPR-NAS workshop (2021-2024) with a strong competition element as well as workshops at IEEE BigData (BDA4CID and BDA4HM 2017-2023).

Activities

Employment (3)

Durham University: Durham, GB

2021-10 to present | Assistant Professor (Department of Computer Science)
Employment
Source: Self-asserted source
Amir Atapour-Abarghouei

Newcastle University: Newcastle upon Tyne, GB

2021-01 to 2021-10 | Lecturer (School of Computing)
Employment
Source: Self-asserted source
Amir Atapour-Abarghouei

Newcastle University: Newcastle upon Tyne, Tyne and Wear, GB

2019-05 to 2020-12 | Research Associate (School of Computing)
Employment
Source: Self-asserted source
Amir Atapour-Abarghouei

Education and qualifications (3)

Universiti Teknologi Malaysia: Skudai, Johor, MY

M.Sc. (Department of Computer Science)
Education
Source: Self-asserted source
Amir Atapour-Abarghouei

Shahid Bahonar University of Kerman: Kerman, Kerman, IR

B.Sc. (Department of Software Engineering)
Education
Source: Self-asserted source
Amir Atapour-Abarghouei

Durham University: Durham, Durham, GB

2015-08-01 to 2020-01-10 | PhD (Computer Science)
Education
Source: Self-asserted source
Amir Atapour-Abarghouei

Works (19)

A King's Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation

Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019
2019 | Conference paper
EID:

2-s2.0-85081344052

Contributors: Atapour-Abarghouei, A.; Bonner, S.; McGough, A.S.
Source: Self-asserted source
Amir Atapour-Abarghouei via Scopus - Elsevier

Dealing with Missing Depth: Recent Advances in Depth Image Completion and Estimation

Advances in Computer Vision and Pattern Recognition
2019 | Book chapter
EID:

2-s2.0-85074558810

Part of ISBN:

21916594 21916586

Contributors: Atapour-Abarghouei, A.; Breckon, T.P.
Source: Self-asserted source
Amir Atapour-Abarghouei via Scopus - Elsevier

GANomaly: Semi-supervised Anomaly Detection via Adversarial Training

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2019 | Book
EID:

2-s2.0-85067239111

Part of ISBN:

16113349 03029743

Contributors: Akcay, S.; Atapour-Abarghouei, A.; Breckon, T.P.
Source: Self-asserted source
Amir Atapour-Abarghouei via Scopus - Elsevier

Generative adversarial framework for depth filling via Wasserstein metric, cosine transform and domain transfer

Pattern Recognition
2019 | Journal article
EID:

2-s2.0-85062227088

Part of ISBN:

00313203

Contributors: Atapour-Abarghouei, A.; Akcay, S.; Payen de La Garanderie, G.; Breckon, T.P.
Source: Self-asserted source
Amir Atapour-Abarghouei via Scopus - Elsevier

Monocular Segment-Wise Depth: Monocular Depth Estimation Based on a Semantic Segmentation Prior

Proceedings - International Conference on Image Processing, ICIP
2019 | Conference paper
EID:

2-s2.0-85075009623

Part of ISBN:

15224880

Contributors: Atapour-Abarghouei, A.; Breckon, T.P.
Source: Self-asserted source
Amir Atapour-Abarghouei via Scopus - Elsevier

Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification

Proceedings of the International Joint Conference on Neural Networks
2019 | Conference paper
EID:

2-s2.0-85073216164

Contributors: Nik Aznan, N.K.; Atapour-Abarghouei, A.; Bonner, S.; Connolly, J.D.; Al Moubayed, N.; Breckon, T.P.
Source: Self-asserted source
Amir Atapour-Abarghouei via Scopus - Elsevier

Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection

Proceedings of the International Joint Conference on Neural Networks
2019 | Conference paper
EID:

2-s2.0-85073219664

Contributors: Akcay, S.; Atapour-Abarghouei, A.; Breckon, T.P.
Source: Self-asserted source
Amir Atapour-Abarghouei via Scopus - Elsevier

Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions

Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019
2019 | Conference paper
EID:

2-s2.0-85081337627

Contributors: Bonner, S.; Atapour-Abarghouei, A.; Jackson, P.T.; Brennan, J.; Kureshi, I.; Theodoropoulos, G.; McGough, A.S.; Obara, B.
Source: Self-asserted source
Amir Atapour-Abarghouei via Scopus - Elsevier

To Complete or to Estimate, That is the Question: A Multi-Task Approach to Depth Completion and Monocular Depth Estimation

Proceedings - 2019 International Conference on 3D Vision, 3DV 2019
2019 | Conference paper
EID:

2-s2.0-85075032770

Contributors: Atapour-Abarghouei, A.; Breckon, T.P.
Source: Self-asserted source
Amir Atapour-Abarghouei via Scopus - Elsevier

Veritatem dies aperit-Temporally consistent depth prediction enabled by a multi-task geometric and semantic scene understanding approach

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
2019 | Conference paper
EID:

2-s2.0-85075025226

Part of ISBN:

10636919

Contributors: Atapour-Abarghouei, A.; Breckon, T.P.
Source: Self-asserted source
Amir Atapour-Abarghouei via Scopus - Elsevier

Volenti non fit injuria: Ransomware and its Victims

Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019
2019 | Conference paper
EID:

2-s2.0-85081357580

Contributors: Atapour-Abarghouei, A.; Bonner, S.; McGough, A.S.
Source: Self-asserted source
Amir Atapour-Abarghouei via Scopus - Elsevier

A comparative review of plausible hole filling strategies in the context of scene depth image completion

Computers and Graphics (Pergamon)
2018 | Journal article
EID:

2-s2.0-85042696746

Part of ISBN:

00978493

Contributors: Atapour-Abarghouei, A.; Breckon, T.P.
Source: Self-asserted source
Amir Atapour-Abarghouei via Scopus - Elsevier

Eliminating the blind spot: Adapting 3D object detection and monocular depth estimation to 360 ° Panoramic Imagery

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2018 | Book
EID:

2-s2.0-85055521756

Part of ISBN:

16113349 03029743

Contributors: Payen de La Garanderie, G.; Atapour Abarghouei, A.; Breckon, T.P.
Source: Self-asserted source
Amir Atapour-Abarghouei via Scopus - Elsevier

Extended Patch Prioritization for Depth Filling Within Constrained Exemplar-Based RGB-D Image Completion

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2018 | Book
EID:

2-s2.0-85049467861

Part of ISBN:

16113349 03029743

Contributors: Atapour-Abarghouei, A.; Breckon, T.P.
Source: Self-asserted source
Amir Atapour-Abarghouei via Scopus - Elsevier

Real-Time Monocular Depth Estimation Using Synthetic Data with Domain Adaptation via Image Style Transfer

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
2018 | Conference paper
EID:

2-s2.0-85061698815

Part of ISBN:

10636919

Contributors: Atapour-Abarghouei, A.; Breckon, T.P.
Source: Self-asserted source
Amir Atapour-Abarghouei via Scopus - Elsevier

DepthComp: Real-time depth image completion based on prior semantic scene segmentation

British Machine Vision Conference 2017, BMVC 2017
2017 | Conference paper
EID:

2-s2.0-85084016893

Contributors: Atapour-Abarghouei, A.; Breckon, T.P.
Source: Self-asserted source
Amir Atapour-Abarghouei via Scopus - Elsevier

Back to Butterworth - A Fourier basis for 3D surface relief hole filling within RGB-D imagery

Proceedings - International Conference on Pattern Recognition
2016 | Conference paper
EID:

2-s2.0-85019162547

Part of ISBN:

10514651

Contributors: Atapour-Abarghouei, A.; De La Garanderie, G.P.; Breckon, T.P.
Source: Self-asserted source
Amir Atapour-Abarghouei via Scopus - Elsevier

A modified PSO method enhanced with fuzzy inference system for solving the planar Graph Coloring problem

Proceedings of the 2010 International Conference on Artificial Intelligence, ICAI 2010
2010 | Conference paper
EID:

2-s2.0-84866118429

Contributors: Erfani, M.; Ghanizadeh, A.; Atapour Abarghouei, A.; Sinaie, S.; Shamsuddin, S.M.
Source: Self-asserted source
Amir Atapour-Abarghouei via Scopus - Elsevier

A robust fuzzy and Cellular Learning Automata edge detection and enhancement method

Proceedings of the 2010 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2010
2010 | Conference paper
EID:

2-s2.0-84864913879

Contributors: Ghanizadeh, A.; Sinaie, S.; Atapour Abarghouei, A.; Mozafari Majd, E.; Shamsuddin, S.M.
Source: Self-asserted source
Amir Atapour-Abarghouei via Scopus - Elsevier

Peer review (3 reviews for 3 publications/grants)

Review activity for Artificial intelligence review. (1)
Review activity for Pattern recognition. (1)
Review activity for Signal, image and video processing. (1)