2 citations · 6 across the 4 of their papers we have counts for
4 papers
Volterra bootstrap: Resampling higher-order statistics for strictly stationary univariate time series
Natalia Sirotko-Sibirskaya, Matthias O. Franz, Thorsten Dickhaus
We are concerned with nonparametric hypothesis testing of time series functionals. It is known that the popular autoregressive sieve bootstrap is, in general, not valid for statist…
Deep Learning Parametrization for B-Spline Curve Approximation
Pascal Laube, Matthias O. Franz, Georg Umlauf
In this paper we present a method using deep learning to compute parametrizations for B-spline curve approximation. Existing methods consider the computation of parametric values a…
Image Inpainting for High-Resolution Textures using CNN Texture Synthesis
Pascal Laube, Michael Grunwald, Matthias O. Franz +1
Deep neural networks have been successfully applied to problems such as image segmentation, image super-resolution, coloration and image inpainting. In this work we propose the use…
Adaptive mixed norm optical flow estimation
Vania V. Estrela, Matthias O. Franz, Ricardo T. Lopes +1
The pel-recursive computation of 2-D optical flow has been extensively studied in computer vision to estimate motion from image sequences, but it still raises a wealth of issues, s…