Mike E. Davies

4 papers · 2017–2022 · 4 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

Venues

CVPR (1) ECCV (1) ICCV (1) ICML (1)

Top co-authors

Dongdong Chen (3) Julián Tachella (2) Mohammad Golbabaee (1) Junqi Tang (1)

Research topics

Machine Learning (3) Computer Vision (2) Learning Types · Machine Learning (2) Processing (2) Deep Learning (1) Mathematics & Optimization (1) Domain-Specific (1) Learning Types · Deep Learning (1) Optimization (1) Optimization & Theory (1)

Keywords

inverse problem (2) self-supervised learning (2) iterative sketching (1) image inpainting (1) gradient projection (1) first-order optimization (1) computed tomography (1) constrained least square (1) equivariant imaging (1) stein's unbiased risk estimator (1) unsupervised learning (1) compressed measurement (1) image reconstruction (1)

Papers

Robust Equivariant Imaging: A Fully Unsupervised Framework for Learning To Image From Noisy and Partial Measurements CVPR 2022 Equivariant Imaging: Learning Beyond the Range Space ICCV 2021 Deep Decomposition Learning for Inverse Imaging Problems ECCV 2020 Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares ICML 2017