most citedBonn Activity Maps: Dataset Description

3 citations · 5 across the 2 of their papers we have counts for

collaborators

5 papers

cs.LG20192 cited

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…

cs.CV20193 cited

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.…

cs.HC2019

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…

cs.HC2019

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…

cs.GR2019

Computational Parquetry: Fabricated Style Transfer with Wood Pixels

Julian Iseringhausen, Michael Weinmann, Weizhen Huang +1

Parquetry is the art and craft of decorating a surface with a pattern of differently colored veneers of wood, stone or other materials. Traditionally, the process of designing and…