6 citations · 8 across the 2 of their papers we have counts for
3 papers
Efficient 2D Simulation on Moving 3D Surfaces
Dieter Morgenroth, Stefan Reinhardt, Daniel Weiskopf +1
We present a method to simulate fluid flow on evolving surfaces, e.g., an oil film on a water surface. Given an animated surface (e.g., extracted from a particle-based fluid simula…
Unsupervised and Generic Short-Term Anticipation of Human Body Motions
Kristina Enes, Hassan Errami, Moritz Wolter +4
Various neural network based methods are capable of anticipating human body motions from data for a short period of time. What these methods lack are the interpretability and expla…
Dynamic Mode Decomposition: Theory and Data Reconstruction
Tim Krake, Daniel Weiskopf, Bernhard Eberhardt
Dynamic Mode Decomposition (DMD) is a data-driven decomposition technique extracting spatio-temporal patterns of time-dependent phenomena. In this paper, we perform a comprehensive…