Staff profile

Background

• Image Processing and Computer Vision
• Scene Understanding and Image Analysis
• Semantic Segmentation and Object Detection
• Depth Estimation and 3D Reconstruction
• Machine Learning / Deep Learning
• Multi-Task Learning and Neural Architecture Search
• Domain Adaptation and Data Augmentation
• Text Ranking and Classification
• Topic Modelling and Sentiment Analysis
• Robotic Navigation and Autonomy

Chapter in book

• Atapour-Abarghouei, A. & Breckon, T.P. (2019). Dealing with Missing Depth: Recent Advances in Depth Image Completion and Estimation. In RGB-D Image Analysis and Processing. Rosin, Paul L. Lai, Yu-Kun Shao, Ling & Liu, Yonghuai Cham: Springer. 15-50.
• Payen de La Garanderie, Grégoire, Atapour Abarghouei, Amir & Breckon, Toby P. (2018). Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery. In Computer Vision – ECCV 2018: 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XII. Ferrari, Vittorio, Hebert, Martial, Sminchisescu, Cristian & Weiss, Yair Cham: Springer. 11217: 812-830.

Conference Paper

• Gaus, Y.F.A., Bhowmik, N., Issac-Medina, B.K.S., Atapour-Abarghouei, A., Shum, H.P.H & Breckon, T.P. (2023), Region-based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery, IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023. Vancouver, BC, IEEE.
• Battle, Michael L., Atapour-Abarghouei, Amir & McGough, Andrew S. (2023), Siamese Neural Networks for Skin Cancer Classification and New Class Detection using Clinical and Dermoscopic Image Datasets, 2022 IEEE International Conference on Big Data. Osaka, Japan, IEEE, 4346-4355.
• Cengiz, Mehmet, Forshaw, Matthew, Atapour-Abarghouei, Amir & McGough, Andrew Stephen (2023), Predicting the Performance of a Computing System with Deep Networks, 2023 ACM/SPEC International Conference on Performance Engineering (ICPE ’23). Coimbra, Portugal, ACM, 91–98.
• Bevan, Peter & Atapour-Abarghouei, Amir (2022), Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification, in Chaudhuri, Kamalika, Jegelka, Stefanie, Song, Le, Szepesvari, Csaba, Niu, Gang & Sabato, Sivan eds, Proceedings of Machine Learning Research (PMLR) 162: The 39th International Conference on Machine Learning (ICML 2022). Baltimore, MD, ML Research Press, 1874-1892.
• Chen, Shuang, Atapour-Abarghouei, Amir, Kerby, Jane, Ho, Edmond S. L., Sainsbury, David C. G., Butterworth, Sophie & Shum, Hubert P. H. (2022), A Feasibility Study on Image Inpainting for Non-cleft Lip Generation from Patients with Cleft Lip, 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). Ioannina, Greece, IEEE.
• Bevan, Peter J. & Atapour-Abarghouei, Amir (2022), Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification, in Kamnitsas, Konstantinos, Koch, Lisa, Islam, Mobarakol Xu, Ziyue, Cardoso, Jorge, Doi, Qi, Rieke, Nicola & Tsaftaris, Sotirios eds, Lecture Notes in Computer Science 13542: DART: MICCAI Workshop on Domain Adaptation and Representation Transfer. Springer, 1-11.
• Towers, David, Forshaw, Matthew, Atapour-Abarghouei, Amir & McGough, A. Stephen (2022), Long-term Reproducibility for Neural Architecture Search, IEEE/CVF Computer Vision and Pattern Recognition Conference Workshops. New Orleans, USA.
• Poyser, M., Atapour-Abarghouei, A. & Breckon, T.P. (2021), On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures, 25th International Conference on Pattern Recognition (ICPR2020). Milan, Italy, IEEE.
• Carrell, Steven & Atapour-Abarghouei, Amir (2021), Identification of Driver Phone Usage Violations via State-of-the-Art Object Detection with Tracking, 2021 IEEE International Conference on Big Data (IEEE BigData 2021). Orlando, FL, USA, IEEE, BigD398 (Paper ID).
• Blackledge, Ciara & Atapour-Abarghouei, Amir (2021), Transforming Fake News: Robust Generalisable News Classification Using Transformers, 2021 IEEE International Conference on Big Data (IEEE BigData 2021). Orlando, FL, USA, IEEE.
• Atapour-Abarghouei, Amir, Bonner, Stephen & McGough, Andrew Stephen (2021), Rank over Class: The Untapped Potential of Ranking in Natural Language Processing, 2021 IEEE International Conference on Big Data (IEEE BigData 2021). Orlando, FL, USA, IEEE.
• Stelling, Jack & Atapour-Abarghouei, Amir (2021), “Just Drive” Colour Bias Mitigation for Semantic Segmentation in the Context of Urban Driving, 2021 IEEE International Conference on Big Data (IEEE BigData 2021). Orlando, FL, USA, IEEE.
• Atapour-Abarghouei, Amir & Breckon, Toby P. (2019), To complete or to estimate, that is the question: A Multi-Task Depth Completion and Monocular Depth Estimation, International Conference on 3D Vision. Quebec, IEEE, Piscataway, NJ, 183-193.
• Akcay, Akcay, Atapour-Abarghouei, Amir & Breckon, Toby P. (2019), Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection, Proc. Int. Joint Conference on Neural Networks. Budapest, Hungary, IEEE.
• Aznan, N.K.N., Atapour-Abarghouei, A., Bonner, S., Connolly, J.D., Al Moubayed, N. & Breckon, T.P. (2019), Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification, International Joint Conference on Neural Networks (IJCNN). Budapest, Hungary, IEEE, 1-8.
• Atapour-Abarghouei, Amir, Bonner, Stephen & McGough, Andrew Stephen (2019), A King’s Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation, 2019 IEEE International Conference on Big Data (Big Data). 1601.
• Akcay, Samet, Atapour-Abarghouei, Amir & Breckon, Toby P. (2019), GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training, in Jawahar, C. V., Li, Hongdong, Mori, Greg & Schindler, Konrad eds, Lecture Notes in Computer Science 11363: 14th Asian Conference on Computer Vision (ACCV). Perth, Australia, Springer, 622-637.
• Jackson, Philip, Atapour-Abarghouei, Amir, Bonner, Stephen, Breckon, Toby & Obara, Boguslaw (2019), Style Augmentation: Data Augmentation via Style Randomization, IEEE/CVF Conference on Computer Vision and Pattern Recognition, Deep Vision. Long Beach, CA, USA, IEEE.
• Atapour-Abarghouei, Amir, Bonner, Stephen & McGough, Andrew Stephen (2019), Volenti non fit injuria: Ransomware and its Victims, 2019 IEEE International Conference on Big Data (Big Data). Los Angeles, CA, 4701.
• Bonner, Stephen, Atapour-Abarghouei, Amir, Jackson, Phillip, Brennan, John, Kureshi, Ibad, Theodoropoulos, Georgios, McGough, Stephen & Obara, Boguslaw (2019), Temporal neighbourhood aggregation: predicting future links in temporal graphs via recurrent variational graph convolutions, IEEE International Conference on Big Data (Deep Graph Learning: Methodologies and Applications). Los Angeles, CA, USA, IEEE, Piscataway, NJ, 5336-5345.
• Atapour-Abarghouei, A. & Breckon, T.P. (2019), Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach, IEEE/CVF Conference on Computer Vision and Pattern Recognition, Deep Vision. Long Beach, California, USA, IEEE.
• Atapour-Abarghouei, A. & Breckon, T.P. (2018), Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer, 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Salt Lake City, Utah, IEEE, Piscataway, NJ, 2800-2810.
• Atapour-Abarghouei, Amir & Breckon, Toby P. (2018), Extended Patch Prioritization for Depth Filling Within Constrained Exemplar-Based RGB-D Image Completion, in Campilho, Aurélio, Karray, Fakhri & Romeny, Bart ter Haar eds, Lecture Notes in Computer Science 10882: International Conference Image Analysis and Recognition. Póvoa de Varzim, Portugal, Springer, 306-314.
• Atapour-Abarghouei, A. & Breckon, T.P. (2017), DepthComp: Real-time Depth Image Completion Based on Prior Semantic Scene Segmentation, 28th British Machine Vision Conference (BMVC) 2017. London, British Machine Vision Association (BMVA).
• Atapour-Abarghouei, Amir, de La Garanderie, Gregoire Payen & Breckon, Toby P. (2016), Back to Butterworth - a Fourier Basis for 3D Surface Relief Hole Filling within RGB-D Imagery, 2016 23rd International Conference on Pattern Recognition (ICPR). Cancun, IEEE, 2813.
• Ghanizadeh, Afshin, Sinaie, Saman, Atapour-Abarghouei, Amir, Mozafari, Emad & Shamsuddin, Siti Mariyam (2010), A Robust Fuzzy and Cellular Learning Automata Edge Detection and Enhancement Method, International Conference on Image Processing, Computer Vision, & Pattern Recognition. Las Vegas, Nevada, 551-556.
• Erfani, Mostafa, Ghanizadeh, Afshin, Atapour-Abarghouei, Amir, Sinaie, Saman & Shamsuddin, Siti Mariyam (2010), A Modified PSO Method Enhanced with Fuzzy Inference System for Solving the Planar Graph Coloring Problem, International Conference on Artificial Intelligence. 160-165.
• Atapour-Abarghouei, Amir, Ghanizadeh, Afshin, Sinaie, Saman & Shamsuddin, Siti Mariyam (2009), A Survey of Pattern Recognition Applications in Cancer Diagnosis, International Conference on Soft Computing and Pattern Recognition. Malacca, IEEE, 448-453.

Doctoral Thesis

• Atapour-Abarghouei, Amir (2019). Immaculate Depth Perception: Recovering 3D Scene Information via Depth Completion and Prediction. PhD.

Journal Article

• Vali, Mahsa, Mohammadi, Massoud, Zarei, Nasim, Samadi, Melika, Atapour-Abarghouei, Amir, Supakontanasan, Wasu, Suwan, Yanin, Subramanian, Prem S., Miller, Neil R, Kafieh, Rahele & Fard, Masoud Aghsaei (2023). Differentiating Glaucomatous Optic Neuropathy from Non-Glaucomatous Optic Neuropathies Using Deep Learning Algorithms. American Journal of Ophthalmology 252: 1-8.
• Chen, Shuang, Atapour-Abarghouei, Amir, Ho, Edmond S. L. & Shum, Hubert P. H. (2023). INCLG: Inpainting for Non-Cleft Lip Generation with a Multi-Task Image Processing Network. Software Impacts
• Maciel-Pearson, B.G., Akcay, S., Atapour-Abarghouei, A., Holder, C. & Breckon, T.P. (2019). Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments. Robotics and Automation Letters 4(4): 4116-4123.
• Atapour-Abarghouei, Amir, Akcay, Samet, de La Garanderie, Grégoire Payen & Breckon, Toby P. (2019). Generative Adversarial Framework for Depth Filling via Wasserstein Metric, Cosine Transform and Domain Transfer. Pattern Recognition 91: 232-244.
• Atapour-Abarghouei, A. & Breckon, T.P. (2018). A Comparative Review of Plausible Hole Filling Strategies in the Context of Scene Depth Image Completion. Computers and Graphics 72: 39-58.
• Ghanizadeh, Afshin, Atapour-Abarghouei, Amir, Sinaie, Saman, Saad, Puteh & Shamsuddin, Siti Mariyam (2011). Iris Segmentation using an Edge Detector based on Fuzzy Sets Theory and Cellular Learning Automata. Applied optics 50(19): 3191-3200.
• Atapour-Abarghouei, Amir, Ghanizadeh, Afshin & Shamsuddin, Siti Mariyam (2009). Advances of Soft Computing Methods in Edge Detection. International Journal of Advances in Soft Computing and its Applications 1(2): 162-203.

Masters Thesis

• Atapour-Abarghouei, Amir (2010). A Novel Solution to Travelling Salesman Problem using Fuzzy Sets, Gravitational Search Algorithm, and Genetic Algorithm. Masters.