most citedBonn Activity Maps: Dataset Description

3 citations · 3 across the 1 of their papers we have counts for

collaborators

5 papers

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.DC2019

stdgpu: Efficient STL-like Data Structures on the GPU

Patrick Stotko

Tremendous advances in parallel computing and graphics hardware opened up several novel real-time GPU applications in the fields of computer vision, computer graphics as well as au…

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.HC2018

SLAMCast: Large-Scale, Real-Time 3D Reconstruction and Streaming for Immersive Multi-Client Live Telepresence

Patrick Stotko, Stefan Krumpen, Matthias B. Hullin +2

Real-time 3D scene reconstruction from RGB-D sensor data, as well as the exploration of such data in VR/AR settings, has seen tremendous progress in recent years. The combination o…