196 citations · 591 across the 35 of their papers we have counts for
6 papers · 1 filter
Orthogonal Wasserstein GANs
Jan Müller, Reinhard Klein, Michael Weinmann
Wasserstein-GANs have been introduced to address the deficiencies of generative adversarial networks (GANs) regarding the problems of vanishing gradients and mode collapse during t…
Bonn Activity Maps: Dataset Description
Julian Tanke, Oh-Hun Kwon, Patrick Stotko +9
The key prerequisite for accessing the huge potential of current machine learning techniques is the availability of large databases that capture the complex relations of interest.…
Efficient 3D Reconstruction and Streaming for Group-Scale Multi-Client Live Telepresence
Patrick Stotko, Stefan Krumpen, Michael Weinmann +1
Sharing live telepresence experiences for teleconferencing or remote collaboration receives increasing interest with the recent progress in capturing and AR/VR technology. Whereas…
A VR System for Immersive Teleoperation and Live Exploration with a Mobile Robot
Patrick Stotko, Stefan Krumpen, Max Schwarz +4
Applications like disaster management and industrial inspection often require experts to enter contaminated places. To circumvent the need for physical presence, it is desirable to…
Automatic reconstruction of fully volumetric 3D building models from point clouds
Sebastian Ochmann, Richard Vock, Reinhard Klein
We present a novel method for reconstructing parametric, volumetric, multi-story building models from unstructured, unfiltered indoor point clouds by means of solving an integer li…
Automatic normal orientation in point clouds of building interiors
Sebastian Ochmann, Reinhard Klein
Orienting surface normals correctly and consistently is a fundamental problem in geometry processing. Applications such as visualization, feature detection, and geometry reconstruc…