INCLG: Inpainting for Non-Cleft Lip Generation with a Multi-Task Image Processing Network (S. Chen, A. Atapour-Abarghouei, E.S.L. Ho, H.P.H. Shum). In Software Impacts, Elsevier, 2023. [code] [pdf] [bib] [doi]

Differentiating Glaucomatous Optic Neuropathy from Non-Glaucomatous Optic Neuropathies Using Deep Learning Algorithms (M. Vali, M. Mohammadi, N. Zarei, M. Samadi, A. Atapour-Abarghouei, W. Supakontanasan, Y. Suwan, P.S. Subramanian, N.R. Miller, R. Kafieh, M. Aghsaei Fard). In American Journal of Ophthalmology, Elsevier, 2023. [code] [pdf] [bib] [doi]

Region-based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery (Y.F.A. Gaus, N. Bhowmik, B.K.S. Isaac-Medina, A. Atapour-Abarghouei, H.P.H. Shum, T.P. Breckon). In Proc. 2023 IEEE/CVF Conf. Computer Vision and Pattern Recognition Workshops (CVPRW), 2023. [pdf] [bib] [poster] [doi]

FEGR: Feature Enhanced Graph Representation Method for Graph Classification (M. Abushofa, A. Atapour-Abarghouei, M. Forshaw, A.S. McGough). In Proc. 2023 IEEE / ACM Int. Conf. Advances in Social Networks Analysis and Mining (ASONAM), 2023. [pdf] [bib] [presentation]

Predicting the Performance of a Computing System with Deep Networks (M. Cengiz, M. Forshaw, A. Atapour-Abarghouei, A.S. McGough). In Proc. 2023 ACM/SPEC Int. Conf. Performance Engineering, 2023. [arxiv] [pdf] [bib] [doi]

Siamese Neural Networks for Skin Cancer Classification and New Class Detection using Clinical and Dermoscopic Image Datasets (M.L. Battle, A. Atapour-Abarghouei, A.S. McGough). In Proc. IEEE Int. Conf. Big Data, IEEE, 2022. [arxiv] [pdf] [bib] [doi]

A Feasibility Study on Image Inpainting for Non-cleft Lip Generation from Patients with Cleft Lip (S. Chen, A. Atapour-Abarghouei, J. Kerby, E.S.L. Ho, D.C.G. Sainsbury, S. Butterworth, H.P.H. Shum). In Proc. IEEE-EMBS Int. Conf. Biomedical and Health Informatics (BHI), 2022. [code] [arxiv] [pdf] [bib] [doi]

Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification (P. Bevan, A. Atapour-Abarghouei). In Proc. Int. Conf. Machine Learning, PMLR, 2022. [code] [arxiv] [pdf] [bib]

Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification (P. Bevan, A. Atapour-Abarghouei). In Proc. 4th MICCAI Workshop on Domain Adaptation and Representation Transfer, Lecture Notes in Computer Science, Springer, Cham, 2022. [video] [code] [arxiv] [pdf] [bib] [doi]

Long-term Reproducibility for Neural Architecture Search (D. Towers, M. Forshaw, A.S. McGough, A. Atapour-Abarghouei). In Third Workshop on Neural Architecture Search:2nd Lightweight NAS Challenge - IEEE / CVF Conf. Computer Vision and Pattern Recognition Workshops, IEEE, 2022. [video] [code] [arxiv] [pdf] [bib]

Identification of Driver Phone Usage Violations via State-of-the-Art Object Detection with Tracking (S. Carrell, A. Atapour-Abarghouei). In Proc. IEEE Int. Conf. Big Data, IEEE, 2021. [video] [code] [arxiv] [pdf] [bib] [doi]

Transforming Fake News: Robust Generalisable News Classification Using Transformers (C. Blackledge, A. Atapour-Abarghouei). In Proc. IEEE Int. Conf. Big Data, IEEE, 2021. [video] [code] [arxiv] [pdf] [bib] [doi]

"Just Drive": Colour Bias Mitigation for Semantic Segmentation in the Context of Urban Driving (J. Stelling, A. Atapour-Abarghouei). In Proc. IEEE Int. Conf. Big Data, IEEE, 2021. [video] [code] [arxiv] [pdf] [bib] [doi]

Rank over Class: The Untapped Potential of Ranking in Natural Language Processing (A. Atapour-Abarghouei, S. Bonner, A.S. McGough). In Proc. IEEE Int. Conf. Big Data, IEEE, 2021. [video] [presentation] [code] [arxiv] [pdf] [bib] [doi]

Resolving the Cybersecurity Data Sharing Paradox to Scale up Cybersecurity via a Co-Production Approach towards Data Sharing (A. Atapour-Abarghouei, A.S. McGough, D.S. Wall). In Int. Conf. Big Data, IEEE, 2020. [arxiv] [pdf] [bib] [doi]

Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural Networks (J. Brennan, S. Bonner, A. Atapour-Abarghouei, P.T. Jackson, B. Obara, A.S. McGough). In Int. Conf. Big Data, IEEE, 2020. [arxiv] [pdf] [bib] [doi]

Domain Adaptation via Image Style Transfer (A. Atapour-Abarghouei, T.P. Breckon). Chapter in Domain Adaptation in Computer Vision with Deep Learning, Springer, pp. 137-156, 2020. (ISBN: 978-3-030-45528-6 / 978-3-030-45529-3) [pdf] [bib] [doi]

Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI (N. Khadijah Nik Aznan, A. Atapour-Abarghouei, S. Bonner, J.D. Connolly, T.P. Breckon). In Int. Conf. Pattern Recognition, IEEE, 2020. [video] [arxiv] [code] [poster] [pdf] [bib] [doi]

On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures (M. Poyser, A. Atapour-Abarghouei, T.P. Breckon). In Int. Conf. Pattern Recognition, IEEE, 2020. [video] [arxiv] [pdf] [poster] [bib] [doi]

Online Deep Reinforcement Learning for Autonomous UAV Navigation and Exploration of Outdoor Environments (B.G. Maciel-Pearson, L. Marchegiani, S. Akcay, A. Atapour-Abarghouei, J. Garforth, T.P. Breckon). Under review in IEEE Transactions on Robotics, 2020. [video] [arxiv] [pdf] [bib]

Volenti non fit injuria: Ransomware and its Victims (A. Atapour-Abarghouei, S. Bonner and A.S. McGough). In Int. Conf. Big Data, IEEE, 2019. [arxiv] [pdf] [bib] [doi]

A King’s Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation (A. Atapour-Abarghouei, S. Bonner and A.S. McGough). In Int. Conf. Big Data, IEEE, 2019. [arxiv] [pdf] [code] [bib] [doi]

Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions (S. Bonner, A. Atapour-Abarghouei, P.T. Jackson, J. Brennan, I. Kureshi, G. Theodoropoulos, A.S. McGough, B. Obara). In Int. Conf. Big Data, IEEE, 2019. [code] [arxiv] [pdf] [bib] [doi]

Immaculate Depth Perception: Recovering 3D Scene Information via Depth Completion and Prediction (A. Atapour-Abarghouei). PhD Thesis, Durham University, 2019. [pdf] [bib] [e-thesis]

Monocular Segment-Wise Depth: Monocular Depth Estimation based on a Semantic Segmentation Prior (A. Atapour-Abarghouei, T.P. Breckon). In Int. Conf. Image Processing, IEEE, 2019. [video] [pdf] [presentation] [bib] [doi]

To complete or to estimate, that is the question: A Multi-Task Approach to Depth Completion and Monocular Depth Estimation (A. Atapour-Abarghouei, T.P. Breckon). In Int. Conf. 3D Vision, IEEE, 2019. [video] [pdf] [arxiv] [poster] [bib] [doi]

Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments (B.G. Maciel-Pearson, S. Akcay, A. Atapour-Abarghouei, C. Holder, T.P. Breckon). In IEEE Robotics and Automation Letters, IEEE, Volume 4, No. 4, pp. 4116-4123, 2019. [code] [pdf] [arxiv] [bib] [doi]

Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection (S. Akcay, A. Atapour-Abarghouei, T.P. Breckon). In Int. Joint Conf. Neural Networks, IEEE, 2019. [pdf] [arxiv] [bib] [doi]

Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification (N. Khadijah Nik Aznan, A. Atapour-Abarghouei, S. Bonner, J.D. Connolly, N. Al Moubayed, T.P. Breckon). In Int. Joint Conf. Neural Networks, IEEE, 2019. [pdf] [arxiv] [poster] [bib] [doi]

Generative Adversarial Framework for Depth Filling via Wasserstein Metric, Cosine Transform and Domain Transfer (A. Atapour-Abarghouei, S. Akcay, G. Payen de La Garanderie, T.P. Breckon). In Pattern Recognition, Elsevier, Volume 91, pp. 232-244, 2019. [pdf] [code] [bib] [doi]

Dealing with Missing Depth: Recent Advances in Depth Image Completion and Estimation (A. Atapour-Abarghouei, T.P. Breckon). Chapter in RGB-D Image Analysis and Processing, Springer, pp. 15-50, 2019. (ISBN: 978-3-030-28602-6 / 978-3-030-28603-3) [pdf] [bib] [doi]

Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach (A. Atapour-Abarghouei, T.P. Breckon). In IEEE. Conf. Computer Vision and Pattern Recognition, IEEE, 2019. [video] [pdf] [arxiv] [code] [poster] [bib] [doi]

Style Augmentation: Data Augmentation via Style Randomization (P.T. Jackson, A. Atapour-Abarghouei, S. Bonner, T.P. Breckon, B. Obara). In IEEE. Conf. Computer Vision and Pattern Recognition Workshops, IEEE, 2019. [pdf] [arxiv] [code] [poster] [bib]

Extended Patch Prioritization for Depth Filling within Constrained Exemplar-based RGB-D Image Completion (A. Atapour-Abarghouei, T.P. Breckon). In Int. Conf. Image Analysis and Recognition, Springer, 2018. [pdf] [video] [bib] [presentation] [doi]

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training (S. Akcay, A. Atapour-Abarghouei, T.P. Breckon). In Asian Conf. Computer Vision, Springer, 2018. [pdf] [code] [arxiv] [poster] [bib] [doi]

A Comparative Review of Plausible Hole Filling Strategies in the Context of Scene Depth Image Completion (A. Atapour-Abarghouei, T.P. Breckon). In Computers and Graphics, Elsevier, Volume 72, pp. 39-58, 2018. [pdf] [bib] [doi]

Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery (G. Payen de La Garanderie, A. Atapour-Abarghouei, T.P. Breckon). In Euro. Conf. Computer Vision, Springer, 2018. [video] [code] [pdf] [arxiv] [poster] [bib] [doi]

Real-Time Monocular Depth Estimation Using Synthetic Data With Domain Adaptation via Image Style Transfer (A. Atapour-Abarghouei, T.P. Breckon). In IEEE Conf. Computer Vision and Pattern Recognition, IEEE, 2018. [video] [code] [pdf] [poster] [bib] [doi]

DepthComp: Real-time Depth Image Completion Based on Prior Semantic Scene Segmentation (A. Atapour-Abarghouei, T.P. Breckon). In British Machine Vision Conference, BMVA, 2017. [pdf] [video] [code] [poster] [bib] [doi]

Inspiring Computer Vision System Solutions (J. Zilly, A. Boyarski, M. Carvalho, A. Atapour-Abarghouei, Others). ICVSS Project Outcome, 2017. [pdf] [arxiv]

Back to Butterworth - A Fourier Basis for 3D Surface Relief Hole Filling within RGB-D Imagery (A. Atapour-Abarghouei, G. Payen de La Garanderie, T.P. Breckon). In Int. Conf. Pattern Recognition, IEEE, 2016. [pdf] [video] [poster] [bib] [doi]

Iris Segmentation using an Edge Detector based on Fuzzy Sets Theory and Cellular Learning Automata (A. Ghanizadeh, A. Atapour-Abarghouei, S. Sinaie, P. Saad, S.M. Shamsuddin). In Applied Optics, IEEE, 2011. [pdf] [bib] [doi]

A Novel Solution to Travelling Salesman Problem using Fuzzy Sets, Gravitational Search Algorithm, and Genetic Algorithm (A. Atapour-Abarghouei). MSc Thesis, Universiti Teknologi Malaysia, 2010. [pdf] [bib]

A Robust Fuzzy and Cellular Learning Automata Edge Detection and Enhancement Method (A. Ghanizadeh, S. Sinaie, A. Atapour-Abarghouei, E. Mozafari-Majd, S.M. Shamsuddin). Int. Conf. Image Processing, Computer Vision, and Pattern Recognition, 2010. [bib]

A Modified PSO Method Enhanced with Fuzzy Inference System for Solving the Planar Graph Coloring Problem (M. Erfani, A. Ghanizadeh, A. Atapour-Abarghouei, S. Sinaie, S.M. Shamsuddin). Int. Conf. Artificial Intelligence, 2010. [bib]

A Survey of Pattern Recognition Applications in Cancer Diagnosis (A. Atapour-Abarghouei, A. Ghanizadeh, S. Sinaie, S.M. Shamsuddin). In Int. Conf. Soft Computing and Pattern Recognition, 2009. [pdf] [bib] [doi]

Advances of Soft Computing Methods in Edge Detection (A. Atapour-Abarghouei, A. Ghanizadeh, S.M. Shamsuddin). In Int. J. Advances in Soft Computing and Its Applications, Vol. 1, No. 2, 2009. [pdf] [bib]