Amir Atapour-Abarghouei

48 papers A* 5A 5B 3Journal 25Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
EEG-Driven Intention Decoding: Offline Deep Learning Benchmarking on a Robotic Rover.
CoRR
Ghadah Alosaimi, Maha Alsayyari, Yixin Sun, Stamos Katsigiannis, Amir Atapour-Abarghouei, Toby P. Breckon
2026 A* conf
Exploring the Potentials of Spiking Neural Networks for Image Deraining.
AAAI
Shuang Chen, Tomás Krajník, Farshad Arvin, Amir Atapour-Abarghouei
2025 — conf
BcQLM: Efficient Vision-Language Understanding with Distilled Q-Gated Cross-Modal Fusion.
EMNLP (Findings)
Sike Xiang, Shuang Chen, Amir Atapour-Abarghouei
2025 J jnl
BcQLM: Efficient Vision-Language Understanding with Distilled Q-Gated Cross-Modal Fusion.
CoRR
Sike Xiang, Shuang Chen, Amir Atapour-Abarghouei
2025 — conf
Beyond Syntax: How Do LLMs Understand Code?
NIER@ICSE
Marc North, Amir Atapour-Abarghouei, Nelly Bencomo
2025 J jnl
CaFlow: Enhancing Long-Term Action Quality Assessment with Causal Counterfactual Flow.
CoRR
Ruisheng Han, Kanglei Zhou, Shuang Chen, Amir Atapour-Abarghouei, Hubert P. H. Shum
2025 A conf
DEEP-SEA: Deep-Learning Enhancement for Environmental Perception in Submerged Aquatics.
IROS
Shuang Chen, Ronald Thenius, Farshad Arvin, Amir Atapour-Abarghouei
2025 J jnl
DEEP-SEA: Deep-Learning Enhancement for Environmental Perception in Submerged Aquatics.
CoRR
Shuang Chen, Ronald Thenius, Farshad Arvin, Amir Atapour-Abarghouei
2025 A* conf
Deep Learning-Enhanced Visual Monitoring in Hazardous Underwater Environments with a Swarm of Micro-Robots.
ICRA
Shuang Chen, Yifeng He, Barry Lennox, Farshad Arvin, Amir Atapour-Abarghouei
2025 J jnl
Deep Learning-Enhanced Visual Monitoring in Hazardous Underwater Environments with a Swarm of Micro-Robots.
CoRR
Shuang Chen, Yifeng He, Barry Lennox, Farshad Arvin, Amir Atapour-Abarghouei
2025 A* conf
Dur360BEV: A Real-World 360-Degree Single Camera Dataset and Benchmark for Bird-Eye View Mapping in Autonomous Driving.
ICRA
Wenke E, Chao Yuan, Li Li, Yixin Sun, Yona Falinie A. Gaus, Amir Atapour-Abarghouei, Toby P. Breckon
2025 J jnl
Dur360BEV: A Real-world 360-degree Single Camera Dataset and Benchmark for Bird-Eye View Mapping in Autonomous Driving.
CoRR
Wenke E, Chao Yuan, Li Li, Yixin Sun, Yona Falinie A. Gaus, Amir Atapour-Abarghouei, Toby P. Breckon
2025 J jnl
Exploring the Potentials of Spiking Neural Networks for Image Deraining.
CoRR
Shuang Chen, Tomás Krajník, Farshad Arvin, Amir Atapour-Abarghouei
2025 — conf
FineCausal: A Causal-Based Framework for Interpretable Fine-Grained Action Quality Assessment.
CVPR Workshops
Ruisheng Han, Kanglei Zhou, Amir Atapour-Abarghouei, Xiaohui Liang, Hubert P. H. Shum
2025 J jnl
FineCausal: A Causal-Based Framework for Interpretable Fine-Grained Action Quality Assessment.
CoRR
Ruisheng Han, Kanglei Zhou, Amir Atapour-Abarghouei, Xiaohui Liang, Hubert P. H. Shum
2025 J jnl
KD360-VoxelBEV: LiDAR and 360-degree Camera Cross Modality Knowledge Distillation for Bird's-Eye-View Segmentation.
CoRR
Wenke E, Yixin Sun, Jiaxu Liu, Hubert P. H. Shum, Amir Atapour-Abarghouei, Toby P. Breckon
2025 A conf
MDCF-Net: Modality Decomposition and Compensation Fusion Network for Infrared-Visible Object Detection.
ECAI
Jiangtao Fan, Zeyu Xiao, Anish Jindal, Amir Atapour-Abarghouei
2025 A conf
SEM-Net: Efficient Pixel Modelling for Image Inpainting with Spatially Enhanced SSM.
WACV
Shuang Chen, Haozheng Zhang, Amir Atapour-Abarghouei, Hubert P. H. Shum
2025 B conf
TOMD: A Trail-based Off-road Multimodal Dataset for Traversable Pathway Segmentation under Challenging Illumination Conditions.
IJCNN
Yixin Sun, Li Li, Wenke E, Amir Atapour-Abarghouei, Toby P. Breckon
2025 J jnl
TOMD: A Trail-based Off-road Multimodal Dataset for Traversable Pathway Segmentation under Challenging Illumination Conditions.
CoRR
Yixin Sun, Li Li, Wenke E, Amir Atapour-Abarghouei, Toby P. Breckon
2024 A conf
Code Gradients: Towards Automated Traceability of LLM-Generated Code.
RE
Marc North, Amir Atapour-Abarghouei, Nelly Bencomo
2024 J jnl
Diagnosis of Multiple Sclerosis by Detecting Asymmetry Within the Retina Using a Similarity-Based Neural Network.
IEEE Access
Regan Cain Bolton, Rahele Kafieh, Fereshteh Ashtari, Amir Atapour-Abarghouei
2024 — conf
Evaluating Deep Graph Network Performance by Augmenting Node Features with Structural Features.
ASONAM (3)
Mohamad Elhadi Abushofa, Amir Atapour-Abarghouei, Matthew Forshaw, A. Stephen McGough
2024 J jnl
HINT: High-Quality INpainting Transformer With Mask-Aware Encoding and Enhanced Attention.
IEEE Trans. Multim.
Shuang Chen, Amir Atapour-Abarghouei, Hubert P. H. Shum
2024 J jnl
HINT: High-quality INPainting Transformer with Mask-Aware Encoding and Enhanced Attention.
CoRR
Shuang Chen, Amir Atapour-Abarghouei, Hubert P. H. Shum
2024 A* conf
Insights from the Use of Previously Unseen Neural Architecture Search Datasets.
CVPR
Rob Geada, David Towers, Matthew Forshaw, Amir Atapour-Abarghouei, A. Stephen McGough
2024 J jnl
Insights from the Use of Previously Unseen Neural Architecture Search Datasets.
CoRR
Rob Geada, David Towers, Matthew Forshaw, Amir Atapour-Abarghouei, A. Stephen McGough
2024 A conf
MxT: Mamba x Transformer for Image Inpainting.
BMVC
Shuang Chen, Amir Atapour-Abarghouei, Haozheng Zhang, Hubert P. H. Shum
2024 J jnl
MxT: Mamba x Transformer for Image Inpainting.
CoRR
Shuang Chen, Amir Atapour-Abarghouei, Haozheng Zhang, Hubert P. H. Shum
2024 J jnl
SEM-Net: Efficient Pixel Modelling for image inpainting with Spatially Enhanced SSM.
CoRR
Shuang Chen, Haozheng Zhang, Amir Atapour-Abarghouei, Hubert P. H. Shum
2023 J jnl
INCLG: Inpainting for Non-Cleft Lip Generation with a Multi-Task Image Processing Network.
CoRR
Shuang Chen, Amir Atapour-Abarghouei, Edmond S. L. Ho, Hubert P. H. Shum
2023 J jnl
INCLG: Inpainting for non-cleft lip generation with a multi-task image processing network.
Softw. Impacts
Shuang Chen, Amir Atapour-Abarghouei, Edmond S. L. Ho, Hubert P. H. Shum
2023 B conf
Predicting the Performance of a Computing System with Deep Networks.
ICPE
Mehmet Cengiz, Matthew Forshaw, Amir Atapour-Abarghouei, Andrew Stephen McGough
2023 J jnl
Predicting the Performance of a Computing System with Deep Networks.
CoRR
Mehmet Cengiz, Matthew Forshaw, Amir Atapour-Abarghouei, Andrew Stephen McGough
2023 — conf
Region-based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery.
CVPR Workshops
Yona Falinie A. Gaus, Neelanjan Bhowmik, Brian K. S. Isaac-Medina, Hubert P. H. Shum, Amir Atapour-Abarghouei, Toby P. Breckon
2022 — conf
A Feasibility Study on Image Inpainting for Non-cleft Lip Generation from Patients with Cleft Lip.
BHI
Shuang Chen, Amir Atapour-Abarghouei, Jane Kerby, Edmond S. L. Ho, David C. G. Sainsbury, Sophie Butterworth, Hubert P. H. Shum
2022 J jnl
A Feasibility Study on Image Inpainting for Non-cleft Lip Generation from Patients with Cleft Lip.
CoRR
Shuang Chen, Amir Atapour-Abarghouei, Jane Kerby, Edmond S. L. Ho, David C. G. Sainsbury, Sophie Butterworth, Hubert P. H. Shum
2022 — conf
Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification.
DART@MICCAI
Peter J. Bevan, Amir Atapour-Abarghouei
2022 J jnl
Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification.
CoRR
Peter J. Bevan, Amir Atapour-Abarghouei
2022 J jnl
Long-term Reproducibility for Neural Architecture Search.
CoRR
David Towers, Matthew Forshaw, Amir Atapour-Abarghouei, Andrew Stephen McGough
2022 B conf
Siamese Neural Networks for Skin Cancer Classification and New Class Detection using Clinical and Dermoscopic Image Datasets.
IEEE Big Data
Michael Luke Battle, Amir Atapour-Abarghouei, Andrew Stephen McGough
2022 J jnl
Siamese Neural Networks for Skin Cancer Classification and New Class Detection using Clinical and Dermoscopic Image Datasets.
CoRR
Michael Luke Battle, Amir Atapour-Abarghouei, Andrew Stephen McGough
2022 A* conf
Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification.
ICML
Peter J. Bevan, Amir Atapour-Abarghouei
2021 — conf
"Just Drive": Colour Bias Mitigation for Semantic Segmentation in the Context of Urban Driving.
IEEE BigData
Jack Stelling, Amir Atapour-Abarghouei
2021 J jnl
"Just Drive": Colour Bias Mitigation for Semantic Segmentation in the Context of Urban Driving.
CoRR
Jack Stelling, Amir Atapour-Abarghouei
2021 — conf
Rank over Class: The Untapped Potential of Ranking in Natural Language Processing.
IEEE BigData
Amir Atapour-Abarghouei, Stephen Bonner, Andrew Stephen McGough
2021 — conf
Transforming Fake News: Robust Generalisable News Classification Using Transformers.
IEEE BigData
Ciara Blackledge, Amir Atapour-Abarghouei
2021 J jnl
Transforming Fake News: Robust Generalisable News Classification Using Transformers.
CoRR
Ciara Blackledge, Amir Atapour-Abarghouei