2026
Neural Reranking for UK Statutory Retrieval: Provision-Level Evaluation and an Open Distilled Model (A.S. Alshehri, C. Eken, N. Bencomo, A. Atapour-Abarghouei). In Artificial Intelligence and Law, Springer Nature, 2026. [pdf] [bib] [code] [doi]
Exploring the Potentials of Spiking Neural Networks for Image Deraining (S. Chen, T. Krajnik, F. Arvin, A. Atapour-Abarghouei). In Proc. AAAI Conference on Artificial Intelligence (AAAI), AAAI Press, 2026. [pdf] [bib] [code] [poster] [doi]
KD360-VoxelBEV: LiDAR and 360-degree Camera Cross Modality Knowledge Distillation for Bird’s-Eye-View Segmentation (W. E, Y. Sun, J. Liu, H.P.H. Shum, A. Atapour-Abarghouei, T.P. Breckon). In Proc. 2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), IEEE/CVF, 2026. [pdf] [bib] [code] [poster] [doi] [video]
CaFlow: Enhancing Long-Term Action Quality Assessment with Causal Counterfactual Flow (R. Han, K. Zhou, S. Chen, A. Atapour-Abarghouei, H.P.H. Shum). In Proc. 2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), IEEE/CVF, 2026. [pdf] [bib] [code] [poster] [doi] [video]
2025
BcQLM: Efficient Vision-Language Understanding with Distilled Q-Gated Cross-Modal Fusion (S. Xiang, S. Chen, A. Atapour-Abarghouei). In Proc. Findings of the Association for Computational Linguistics: EMNLP 2025, ACL, 2025. [pdf] [bib] [code] [poster] [doi] [video]
Using Artificial Intelligence in the Analysis of CT Scans of the Axillary Nodes in Breast Cancer: A Systematic Review(J. Cox, A. Bhatti, A. Atapour-Abarghouei). In European Journal of Radiology Artificial Intelligence, Elsevier, 2025. [pdf] [bib] [doi]
DEEP-SEA: Deep-Learning Enhancement for Environmental Perception in Submerged Aquatics (S. Chen, R. Thenius, F. Arvin, A. Atapour-Abarghouei). In Proc. 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, China, 2025. [pdf] [code] [bib] [doi] [poster]
DurTOMD: A Trail-based Off-road Multimodal Dataset for Traversable Pathway Segmentation under Challenging Illumination Conditions (Y. Sun, L. Li, W. E, A. Atapour-Abarghouei, T.P. Breckon). In Proc. International Joint Conference on Neural Networks (IJCNN) , IEEE, Rome, Italy, 2025. [pdf] [code] [bib] [doi] [poster]
FineCausal: A Causal-Based Framework for Interpretable Fine-Grained Action Quality Assessment (R. Han, K. Zhou, A. Atapour-Abarghouei, X. Liang, H.P.H. Shum). In Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) , IEEE, Nashville, TN, USA, 2025. [pdf] [arxiv] [code] [bib] [doi]
Deep Learning-Enhanced Visual Monitoring in Hazardous Underwater Environments with a Swarm of Micro-Robots (S. Chen, Y. He, B. Lennox, F. Arvin, A. Atapour-Abarghouei). In Proc. IEEE International Conference on Robotics and Automation (ICRA), IEEE, Atlanta, USA, 2025. [pdf] [arxiv] [code] [bib] [doi]
Dur360BEV: A Real-world 360-degree Single Camera Dataset and Benchmark for Bird-Eye View Mapping in Autonomous Driving (W. E, C. Yuan, Y. Sun, Y.F.A. Gaus, A. Atapour-Abarghouei, T.P. Breckon). In Proc. IEEE International Conference on Robotics and Automation (ICRA) , IEEE, Atlanta, USA, 2025. [pdf] [arxiv] [video] [bib] [code] [doi] [poster]
SEM-Net: Efficient Pixel Modelling for Image Inpainting with Spatially Enhanced SSM (S. Chen, H. Zhang, A. Atapour-Abarghouei, H.P.H. Shum). In Proc. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , IEEE, 2025. [pdf] [arxiv] [code] [bib] [doi]
2024
Beyond Syntax: How Do LLMs Understand Code? (M. North, A. Atapour-Abarghouei, N. Bencomo). In Proc. IEEE/ACM International Conference on Software Engineering (ICSE) , Ottawa, Canada, IEEE, 2025. [pdf] [bib] [doi]
MxT: Mamba x Transformer for Image Inpainting (S. Chen, A. Atapour-Abarghouei, H. Zhang, H.P.H. Shum). In Proc. British Machine Vision Conference (BMVC) , BMVA, 2024. [pdf] [code] [bib] [arxiv] [poster]
Insights from the Use of Previously Unseen Neural Architecture Search Datasets (R. Geada, D. Towers, M. Forshaw, A. Atapour-Abarghouei, A.S. McGough). In Proc. IEEE / CVF Conf. Computer Vision and Pattern Recognition (CVPR), IEEE, 2024. [code] [pdf] [appendix] [poster] [bib] [video] [arxiv] [doi]
Evaluating Deep Graph Network Performance by Augmenting Node Features with Structural Features (M. Abushofa, A. Atapour-Abarghouei, M. Forshaw, A.S. McGough). In Proc. International Conference on Advances in Social Networks Analysis and Mining (ASONAM) , LNCS Vol. 15213, Springer, 2025. [pdf] [bib] [doi]
Diagnosis of Multiple Sclerosis by Detecting Asymmetry Within the Retina Using a Similarity-Based Neural Network (R.C. Bolton, R. Kafieh, F. Ashtari, A. Atapour-Abarghouei). In IEEE Access, IEEE, 2024. [code] [pdf] [bib] [doi]
Disentangling Racial Phenotypes: Fine-Grained Control of Race-related Facial Phenotype Characteristics (S Yucer, A. Atapour-Abarghouei, N.A. Moubayed, T.P. Breckon). In Proc. International Joint Conference on Neural Networks (IJCNN), IEEE, 2024. [pdf] [poster] [video] [bib] [arxiv] [doi]
Code Gradients: Towards Automated Traceability of LLM-Generated Code (M. North, A. Atapour-Abarghouei, N. Bencomo). In Proc. International Requirements Engineering Conference (RE), IEEE, 2024. [pdf] [bib] [doi]
HINT: High-quality INpainting Transformer with Mask-Aware Encoding and Enhanced Attention (S. Chen, A. Atapour-Abarghouei, H.P.H. Shum). In IEEE Transactions on Multimedia, IEEE, 2024. [code] [pdf] [bib] [doi] [video] [arxiv]
2023
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 Conference on 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 International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2023. [pdf] [bib] [presentation] [doi]
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 International Conference on Performance Engineering, 2023. [arxiv] [pdf] [bib] [doi]
2022
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 International Conference on 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 International Conference on Biomedical and Health Informatics (BHI), 2022. [code] [arxiv] [pdf] [bib] [doi]
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 Conference Computer Vision and Pattern Recognition Workshops (CVPRW), IEEE, 2022. [video] [code] [arxiv] [pdf] [bib]
2021
Identification of Driver Phone Usage Violations via State-of-the-Art Object Detection with Tracking (S. Carrell, A. Atapour-Abarghouei). In Proc. IEEE International Conference on 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 International Conference on 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 International Conference on Big Data, IEEE, 2021. [video] [code] [arxiv] [pdf] [bib] [doi]
2020
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 Proc. International Conference on 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 Proc. International Conference on 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 Proc. International Conference on 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 Proc. International Conference on 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). Pre-Print, 2020. [video] [arxiv] [pdf] [bib]
2019
Volenti non fit injuria: Ransomware and its Victims (A. Atapour-Abarghouei, S. Bonner and A.S. McGough). In Proc. International Conference on 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 Proc. International Conference on 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 Proc. International Conference on Big Data, IEEE, 2019. [code] [arxiv] [pdf] [bib] [doi]
Monocular Segment-Wise Depth: Monocular Depth Estimation based on a Semantic Segmentation Prior (A. Atapour-Abarghouei, T.P. Breckon). In Proc. International Conference on Image Processing (ICIP), 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 Proc. International Conference on 3D Vision (3DV), 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 Proc. International Joint Conference on Neural Networks (IJCNN, 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 Proc. International Joint Conference on Neural Networks (IJCNN), 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 Proc. IEEE / CVF Conference on Computer Vision and Pattern Recognition (CVPR), 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 Proc. IEEE / CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), IEEE, 2019. [pdf] [arxiv] [code] [poster] [bib]
2018
Extended Patch Prioritization for Depth Filling within Constrained Exemplar-based RGB-D Image Completion (A. Atapour-Abarghouei, T.P. Breckon). In Proc. International Conference on 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 Proc. Asian Conference on Computer Vision (ACCV), 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 Proc. European Conference on Computer Vision (ECCV), 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 Proc. IEEE / CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2018. [video] [code] [pdf] [poster] [bib] [doi]
2017
DepthComp: Real-time Depth Image Completion Based on Prior Semantic Scene Segmentation (A. Atapour-Abarghouei, T.P. Breckon). In Proc. British Machine Vision Conference (BMVC), BMVA, 2017. [pdf] [video] [code] [poster] [bib] [doi]
2016
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 Proc. International Conference on Pattern Recognition (ICPR), IEEE, 2016. [pdf] [video] [poster] [bib] [doi]
2011
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]
2010
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). Proc. International Conference on 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). In Proc. International Conference on Artificial Intelligence, 2010. [bib]
2009
A Survey of Pattern Recognition Applications in Cancer Diagnosis (A. Atapour-Abarghouei, A. Ghanizadeh, S. Sinaie, S.M. Shamsuddin). In Proc. International Conference on 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 International Journal on Advances in Soft Computing and Its Applications, Vol. 1, No. 2, 2009. [pdf] [bib]