Amir Atapour-Abarghouei

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 23

Top Topics

Image Inpainting

Natural Language

Neural Architecture

Top Venues

Publications

Rob Geada, David Towers, Matthew Forshaw, Amir Atapour-Abarghouei, A. Stephen McGough
Insights from the Use of Previously Unseen Neural Architecture Search Datasets. CoRR (2024)
Shuang Chen, Amir Atapour-Abarghouei, Hubert P. H. Shum
HINT: High-quality INPainting Transformer with Mask-Aware Encoding and Enhanced Attention. CoRR (2024)
Regan Cain Bolton, Rahele Kafieh, Fereshteh Ashtari, Amir Atapour-Abarghouei
Diagnosis of Multiple Sclerosis by Detecting Asymmetry Within the Retina Using a Similarity-Based Neural Network. IEEE Access 12 (2024)
Shuang Chen, Amir Atapour-Abarghouei, Haozheng Zhang, Hubert P. H. Shum
MxT: Mamba x Transformer for Image Inpainting. CoRR (2024)
Shuang Chen, Amir Atapour-Abarghouei, Hubert P. H. Shum
HINT: High-Quality INpainting Transformer With Mask-Aware Encoding and Enhanced Attention. IEEE Trans. Multim. 26 (2024)
Shuang Chen, Amir Atapour-Abarghouei, Edmond S. L. Ho, Hubert P. H. Shum
INCLG: Inpainting for non-cleft lip generation with a multi-task image processing network. Softw. Impacts 17 (2023)
Mehmet Cengiz, Matthew Forshaw, Amir Atapour-Abarghouei, Andrew Stephen McGough
Predicting the Performance of a Computing System with Deep Networks. CoRR (2023)
Mehmet Cengiz, Matthew Forshaw, Amir Atapour-Abarghouei, Andrew Stephen McGough
Predicting the Performance of a Computing System with Deep Networks. ICPE (2023)
Yona Falinie A. Gaus, Neelanjan Bhowmik, Brian K. S. Isaac-Medina, Hubert P. H. Shum, Amir Atapour-Abarghouei, Toby P. Breckon
Region-based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery. CVPR Workshops (2023)
Shuang Chen, Amir Atapour-Abarghouei, Edmond S. L. Ho, Hubert P. H. Shum
INCLG: Inpainting for Non-Cleft Lip Generation with a Multi-Task Image Processing Network. CoRR (2023)
Michael Luke Battle, Amir Atapour-Abarghouei, Andrew Stephen McGough
Siamese Neural Networks for Skin Cancer Classification and New Class Detection using Clinical and Dermoscopic Image Datasets. CoRR (2022)
Peter J. Bevan, Amir Atapour-Abarghouei
Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification. DART@MICCAI (2022)
Peter J. Bevan, Amir Atapour-Abarghouei
Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification. CoRR (2022)
David Towers, Matthew Forshaw, Amir Atapour-Abarghouei, Andrew Stephen McGough
Long-term Reproducibility for Neural Architecture Search. CoRR (2022)
Peter J. Bevan, Amir Atapour-Abarghouei
Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification. ICML (2022)
Shuang Chen, Amir Atapour-Abarghouei, Jane Kerby, Edmond S. L. Ho, David C. G. Sainsbury, Sophie Butterworth, Hubert P. H. Shum
A Feasibility Study on Image Inpainting for Non-cleft Lip Generation from Patients with Cleft Lip. CoRR (2022)
Michael Luke Battle, Amir Atapour-Abarghouei, Andrew Stephen McGough
Siamese Neural Networks for Skin Cancer Classification and New Class Detection using Clinical and Dermoscopic Image Datasets. Big Data (2022)
Shuang Chen, Amir Atapour-Abarghouei, Jane Kerby, Edmond S. L. Ho, David C. G. Sainsbury, Sophie Butterworth, Hubert P. H. Shum
A Feasibility Study on Image Inpainting for Non-cleft Lip Generation from Patients with Cleft Lip. BHI (2022)
Jack Stelling, Amir Atapour-Abarghouei
"Just Drive": Colour Bias Mitigation for Semantic Segmentation in the Context of Urban Driving. CoRR (2021)
Ciara Blackledge, Amir Atapour-Abarghouei
Transforming Fake News: Robust Generalisable News Classification Using Transformers. CoRR (2021)
Jack Stelling, Amir Atapour-Abarghouei
"Just Drive": Colour Bias Mitigation for Semantic Segmentation in the Context of Urban Driving. IEEE BigData (2021)
Ciara Blackledge, Amir Atapour-Abarghouei
Transforming Fake News: Robust Generalisable News Classification Using Transformers. IEEE BigData (2021)
Amir Atapour-Abarghouei, Stephen Bonner, Andrew Stephen McGough
Rank over Class: The Untapped Potential of Ranking in Natural Language Processing. IEEE BigData (2021)