172 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Johannes Gutenberg University MainzDE4 papers
- Mercedes-Benz (Germany)DE3 papers
- Universität UlmDE2 papers
- Aix-Marseille UniversitéFR1 paper
- Bielefeld UniversityDE1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Christian-Albrechts-Universität zu KielDE1 paper
- Elektrobit (Austria)AT1 paper
- Elektrobit (Finland)FI1 paper
- GESIS - Leibniz Institute for the Social SciencesDE1 paper
- Goethe University FrankfurtDE1 paper
- Laboratoire d’Informatique Fondamentale de MarseilleFR1 paper
5 papers · 1 filter
Vocalics in Human-Drone Interaction
Marc Lieser, Ulrich Schwanecke
As the presence of flying robots continues to grow in both commercial and private sectors, it necessitates an understanding of appropriate methods for nonverbal interaction with hu…
TailorMe: Self-Supervised Learning of an Anatomically Constrained Volumetric Human Shape Model
Stephan Wenninger, Fabian Kemper, Ulrich Schwanecke +1
Human shape spaces have been extensively studied, as they are a core element of human shape and pose inference tasks. Classic methods for creating a human shape model register a su…
LEAVEN -- Lightweight Surface and Volume Mesh Sampling Application for Particle-based Simulations
Alexander Sommer, Ulrich Schwanecke
We present an easy-to-use and lightweight surface and volume mesh sampling standalone application tailored for the needs of particle-based simulation. We describe the surface and v…
Interactive High-Resolution Simulation of Granular Material
Alexander Sommer, Ulrich Schwanecke, Elmar Schömer
We introduce a particle-based simulation method for granular material in interactive frame rates. We divide the simulation into two decoupled steps. In the first step, a relatively…
Real-time Light Estimation and Neural Soft Shadows for AR Indoor Scenarios
Alexander Sommer, Ulrich Schwanecke, Elmar Schömer
We present a pipeline for realistic embedding of virtual objects into footage of indoor scenes with focus on real-time AR applications. Our pipeline consists of two main components…