189 citations · 957 across the 19 of their papers we have counts for
22 papers
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…
Online Video Deblurring via Dynamic Temporal Blending Network
Tae Hyun Kim, Kyoung Mu Lee, Bernhard Schölkopf +1
State-of-the-art video deblurring methods are capable of removing non-uniform blur caused by unwanted camera shake and/or object motion in dynamic scenes. However, most existing me…