Jan Frederick Eick

Name:Jan Frederick Eick, M.Sc.
Room:Schwanseestraße 143, R. 2.36
Phone:+49 (0) 36 43/58 37 23
Office Hours:On request

Applied Deep Learning for Computer

Shape of you: 3D Semantic Segmentation of Point Cloud Data

Generating 3D Interior Design for Point Cloud Scene Understanding and Room Layout Analysis

Neural Radiance Fields (NeRF) for 3reCapSL Capturing Device
Research:3D Semantic Segmentation of Point Clouds, Stereo Matching, Photogrammetry

Jan Frederick Eick is a research assistant at the Computer Science department at Bauhaus University Weimar since July 2020.

Before that, he completed his studies in the Computer Science department as a MSc with his master's thesis "Deep Learning based Stereo Matching for High-Resolution Images".

His research interests include various disciplines of computer vision, in particular automatic semantic segmentation of point clouds using machine learning methods.

Ongoing Research

  • MetaReal - Immersive communication, collaboration and intelligent services in a digital world copy


  • Morgenthal, G., Eick, J. F., Rau, S., & Taraben, J. (2019). Wireless Sensor Networks Composed of Standard Microcomputers and Smartphones for Applications in Structural Health Monitoring. Sensors, 19(9), 2070. https://doi.org/10.3390/s19092070

Betreute Abschlussarbeiten

Master's theses:
El Mehdi Essadki: A Framework for Guided 3D Point Cloud Annotation, WiSe 2021/22
Huy Khanh Ha: Real-time multi-view marker-less motion capture of multiple humans, SoSe 2021

Bachelor's theses:
Martin Tippmann: Retrieval of 3D Point Cloud Submaps from 2D Query Images, WiSe 2022/23
Philipp Tornow: Unsupervised object extraction for semantic segmentation of bridge scenes, SoSe 2021