9 citations · 9 across the 1 of their papers we have counts for
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The Unreasonable Effectiveness of Texture Transfer for Single Image Super-resolution
Muhammad Waleed Gondal, Bernhard Schölkopf, Michael Hirsch
While implicit generative models such as GANs have shown impressive results in high quality image reconstruction and manipulation using a combination of various losses, we consider…
Perceptual Video Super Resolution with Enhanced Temporal Consistency
Eduardo Pérez-Pellitero, Mehdi S. M. Sajjadi, Michael Hirsch +1
With the advent of perceptual loss functions, new possibilities in super-resolution have emerged, and we currently have models that successfully generate near-photorealistic high-r…
Automatic Estimation of Modulation Transfer Functions
Matthias Bauer, Valentin Volchkov, Michael Hirsch +1
The modulation transfer function (MTF) is widely used to characterise the performance of optical systems. Measuring it is costly and it is thus rarely available for a given lens sp…
Learning Blind Motion Deblurring
Patrick Wieschollek, Michael Hirsch, Bernhard Schölkopf +1
As handheld video cameras are now commonplace and available in every smartphone, images and videos can be recorded almost everywhere at anytime. However, taking a quick shot freque…
Weakly-supervised localization of diabetic retinopathy lesions in retinal fundus images
Waleed M. Gondal, Jan M. Köhler, René Grzeszick +2
Convolutional neural networks (CNNs) show impressive performance for image classification and detection, extending heavily to the medical image domain. Nevertheless, medical expert…