Alex Hepburn
Image Quality Metric Researcher at Huawei Technologies Research & Development (UK) Ltd
United Kingdom
Summary
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Senior🎓
Top SchoolAlex Hepburn is an Image Quality Metric Researcher with a decade of experience at the intersection of perceptual vision science and machine learning, currently based at Huawei R&D (UK) and as an Honorary Research Fellow at the University of Bristol. He holds a PhD in Engineering Mathematics and has developed novel algorithms that incorporate expert annotator information, advanced perceptual metrics like PerceptNet, and tools such as IQM-Vis for psychophysical evaluation. His work bridges image statistics, probability models and human perception, with cross-disciplinary projects spanning audio perception, explainable AI and imbalanced learning. A Turing Fellow alumnus, he has secured competitive funding and supervised PhD students, demonstrating both hands-on research and mentorship. Less obvious is his emphasis on compact, human-inspired neural designs—achieving perceptual fidelity with orders of magnitude fewer parameters than typical models.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Engineering Mathematics, Doctor of Philosophy - PhD, Engineering Mathematics at University of Bristol
Github Skills (20)
transparency10
perceptual9
python9
machine-learning9
perceptual-losses9
tensorflow9
deep-learning9
neural-network8
ml7
deep-neural-networks7
statistics6
pytorch6
compression5
bayesian-methods4
pip4
Programming languages (4)
Github contributions (5)
alexhepburn/ortho_conv
Feb 2022 - Jun 2024
Contributions:2 PRs, 14 pushes, 1 branch in 2 years 4 months
alexhepburn/normalised_laplacian_pyramid
Jul 2019 - Nov 2020
Normalised laplacian pyramid implemented in pytorch.
Contributions:9 commits, 2 PRs, 6 pushes in 1 year 4 months
pytorch
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