Shakarim Soltanayev

3 papers · 2018–2019 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird 🏆 Keyword Champion (2)

Venues

NeurIPS (2) CVPR (1)

Top co-authors

Se Young Chun (3) Magauiya Zhussip (2)

Research topics

Deep Learning (3) Machine Learning (3) Learning Types · Deep Learning (3) Computer Vision (2) Learning Types · Machine Learning (2) Optimization & Theory (2) Processing (2) Architectures (1) Core Methods (1) Domain-Specific (1) Models (1)

Keywords

image denoising (3) stein unbiased risk estimator (3) deep neural network (2) stein's unbiased risk estimator (2) unsupervised learning (2) ground truth (1) unsupervised training (1) synthetic noise (1) neural network (1) ground truth-free training (1) gaussian denoiser (1) compressive sensing (1) approximate message passing (1) correlated noise (1) inverse problem (1)

Papers

Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images NeurIPS 2019 Training Deep Learning Based Image Denoisers From Undersampled Measurements Without Ground Truth and Without Image Prior CVPR 2019 Training deep learning based denoisers without ground truth data NeurIPS 2018