| 2026 | AAAI | Exploring the Potentials of Spiking Neural Networks for Image Deraining. | Shuang Chen, Toms Krajnk, Farshad Arvin, Amir Atapour-Abarghouei |
| 2026 | WACV | KD360-VoxelBEV: LiDAR and 360-degree Camera Cross Modality Knowledge Distillation for Bird's-Eye-View Segmentation. | Wenke E, Yixin Sun, Jiaxu Liu, Hubert P. H. Shum, Amir Atapour-Abarghouei, Toby P. Breckon |
| 2026 | WACV | CaFlow: Enhancing Long-Term Action Quality Assessment with Causal Counterfactual Flow. | Ruisheng Han, Kanglei Zhou, Shuang Chen, Amir Atapour-Abarghouei, Hubert P. H. Shum |
| 2025 | CVPR | FineCausal: A Causal-Based Framework for Interpretable Fine-Grained Action Quality Assessment. | Ruisheng Han, Kanglei Zhou, Amir Atapour-Abarghouei, Xiaohui Liang, Hubert P. H. Shum |
| 2025 | ECAI | MDCF-Net: Modality Decomposition and Compensation Fusion Network for Infrared-Visible Object Detection. | Jiangtao Fan, Zeyu Xiao, Anish Jindal, Amir Atapour-Abarghouei |
| 2025 | EMNLP | BcQLM: Efficient Vision-Language Understanding with Distilled Q-Gated Cross-Modal Fusion. | Sike Xiang, Shuang Chen, Amir Atapour-Abarghouei |
| 2025 | ICRA | Deep Learning-Enhanced Visual Monitoring in Hazardous Underwater Environments with a Swarm of Micro-Robots. | Shuang Chen, Yifeng He, Barry Lennox, Farshad Arvin, Amir Atapour-Abarghouei |
| 2025 | ICRA | Dur360BEV: A Real-World 360-Degree Single Camera Dataset and Benchmark for Bird-Eye View Mapping in Autonomous Driving. | Wenke E, Chao Yuan, Li Li, Yixin Sun, Yona Falinie A. Gaus, Amir Atapour-Abarghouei, Toby P. Breckon |
| 2025 | IJCNN | TOMD: A Trail-based Off-road Multimodal Dataset for Traversable Pathway Segmentation under Challenging Illumination Conditions. | Yixin Sun, Li Li, Wenke E, Amir Atapour-Abarghouei, Toby P. Breckon |
| 2025 | IROS | DEEP-SEA: Deep-Learning Enhancement for Environmental Perception in Submerged Aquatics. | Shuang Chen, Ronald Thenius, Farshad Arvin, Amir Atapour-Abarghouei |
| 2025 | ICSE | Beyond Syntax: How Do LLMs Understand Code? | Marc North, Amir Atapour-Abarghouei, Nelly Bencomo |
| 2025 | WACV | SEM-Net: Efficient Pixel Modelling for Image Inpainting with Spatially Enhanced SSM. | Shuang Chen, Haozheng Zhang, Amir Atapour-Abarghouei, Hubert P. H. Shum |
| 2024 | BMVC | MxT: Mamba x Transformer for Image Inpainting. | Shuang Chen, Amir Atapour-Abarghouei, Haozheng Zhang, Hubert P. H. Shum |
| 2024 | CVPR | Insights from the Use of Previously Unseen Neural Architecture Search Datasets. | Rob Geada, David Towers, Matthew Forshaw, Amir Atapour-Abarghouei, A. Stephen McGough |
| 2024 | RE | Code Gradients: Towards Automated Traceability of LLM-Generated Code. | Marc North, Amir Atapour-Abarghouei, Nelly Bencomo |
| 2023 | CVPR | Region-based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery. | Yona Falinie A. Gaus, Neelanjan Bhowmik, Brian K. S. Isaac-Medina, Hubert P. H. Shum, Amir Atapour-Abarghouei, Toby P. Breckon |
| 2022 | ICML | Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification. | Peter J. Bevan, Amir Atapour-Abarghouei |
| 2022 | MICCAI | Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification. | Peter J. Bevan, Amir Atapour-Abarghouei |