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20192026
most citedMulti-task deep learning for image segmentation using recursive approximation tasks

27 citations · 49 across the 8 of their papers we have counts for

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cs.LG2026

Learning-based Statistical Refinement for Denoising

Rihuan Ke

This work proposes a learning-based statistical refinement method for improving the denoising results of a given denoiser without knowing the precise noise distribution or accessin…

cs.LG2020★ 14 cited

iUNets: Fully invertible U-Nets with Learnable Up- and Downsampling

Christian Etmann, Rihuan Ke, Carola-Bibiane Schönlieb

U-Nets have been established as a standard architecture for image-to-image learning problems such as segmentation and inverse problems in imaging. For large-scale data, as it for e…