Markus Müller, PhD
Professor for Spatial Analytical Artificial Intelligence
Würzburg, Germany
markus.mueller@thws.de
markus88mueller@gmx.de
Deep Learning, Convolutional Neural Networks (CNN), Generative Adversarial Networks (GAN), Computer Vision, Image Processing, Pose Regression, Segmentation, Classification, Agile Software Development, Scrum, Kanban, Python, C++, C#, Matlab, TensorFlow, PyTorch, Keras, Caffe, CUDA, GIT, Docker
self-motivated, team player, security-minded, proactive, self-organized
Research Interests
Computer Vision / Photogrammetry
Robotics
Sensors
Automation
Programming
Python
C++
Matlab
C#
Kotlin
Java
Soft Skills
Scrum
Kanban
Languages
German
English
Japanese
Hobbies
Literature
Bonsai
Climbing & Bouldering
Kendo
Mobile App Development (Android)
Short Biography
Professor for Spatial Analytical Artificial Intelligence
10/2023 - now
Technical University of Applied Sciences Würzburg-Schweinfurt.
Position: Professor at Technical University of Applied Sciences Würzburg-Schweinfurt, Faculty of Plastics Engineering and Surveying
Software Developer
08/2020 - 09/2023
ScreenSYS GmbH in Freiburg.
Position: Head of Image Analysis and Machine Learning
Main tasks
- Develpoment of Deep Learning Solutions
- Algorithm Engineering
- Data Analysis
- Project and Team Management
Bonsai Graduate
01/2020 - 04/2020
Shunka-en Bonsai Museum in Tokyo.
Supervisor: Kunio Kobayashi, Bonsai- and Keidomaster
PhD Thesis and Graduate
2016 - 2019
PhD thesis: Camera Re-Localization with Data Augmentation by Image Rendering and Image-to-Image Translation, PDF
Main tasks
- Software Development
- Algorithm Engineering
- Data Analysis
- Scientific Publishing
PhD supervisors: PD Dr.-Ing. Boris Jutzi, Dr. Torsten Sattler and Prof. Dr-Ing. Stefan Hinz
Degree: Doctor of Engineering (Dr.Eng/Dr.-Ing.) - summa cum laude
Research Associate & PhD Student
2016 - 2019
Institute of Photogrammetry and Remote Sensing (IPF) at Karlsruhe Institute of Technology (KIT) and PhD Student in the Graduate School for Climate and Environment (GRACE) of KIT.
Research Stay
May - July 2018
Computer Vision and Geometry Group of ETH Zurich.
Supervisors: Dr. Torsten Sattler and Prof. Dr. Marc Pollefeys.
Master Thesis
2016
Master thesis: "Optische Lenkwinkelbestimmung während des Prüf- und Inbetriebnahme-Prozesses bei der Fahrwerkeinstellung von Automobilen" at Daimler AG.
Supervisor: Dr. Hartmut Presting and PD Dr.-Ing. Boris Jutzi
Master of Science
2014 - 2016
Geodesy and Geoinformatics at KIT.
Bachelor of Science
2010 – 2014
Geodesy and Navigation at Karlsruhe Univerity of Applied Sciences (HsKA).
Positions in Committees and Associations
German Society for Photogrammetry, Remote Sensing and Geoinformation (DGPF)
04/2024 - now
Working Group Leader: Mobile Mapping Systems
Lectures
Given lectures at KIT and THWS
3D Computer Vision: Deep Learning
Mobile Mapping
Photogrammetry
Bio-Imaging
Geospatial Data Evaluation
Industrial Image Processing and Machine Vision (Lab.)
Statistical Pattern Recognition and Image Analysis: Convolutional Neural Networks
Certificates and Prices
2019
PhD Certificate 'summa cum laude'
GRACE Certificate from the Graduate School for Climate and Environment at KIT
Best Paper Award at Photogrammetric Image Analysis (PIA) Congress in Munich
2016
Best Poster Paper Award at ISPRS Congress in Prague
Habert Book Price from DVW (German Association for Geodesy) for best student in geodetic study programms
Publications
2020
Camera Re-Localization with Data Augmentation by Image Rendering and Image-to-Image Translation. Müller, M. S. PhD thesis. doi:10.5445/IR/1000118597
2019
Image-to-image translation for enhanced feature matching, image retrieval and visual localization. Müller, M. S.; Sattler, T.; Pollefeys, M.; Jutzi, B. ISPRS annals, IV-2/W7, 111–119. doi:10.5194/isprs-annals-IV-2-W7-111-2019
Automatic Extrinsic Self-Calibration of Mobile Mapping Systems Based on Geometric 3D Features. Hillemann, M.; Weinmann, M.; Müller, M. S.; Jutzi, B. Remote sensing, 11 (16), Article: 1955. doi:10.3390/rs11161955
2018
UAS Navigation with SqueezePoseNet—Accuracy Boosting for Pose Regression by Data Augmentation. Müller, M. S.; Jutzi, B. Drones, 2 (1), 7. doi:10.3390/drones2010007
CNN-Based Initial Localization Improved by Data Augmentation. Müller, M.; Metzger, A.; Jutzi, B. ISPRS TC I Mid-term Symposium “Innovative Sensing – From Sensors to Methods and Applications”, 10–12 October 2018, Karlsruhe, Germany, 117–124, ISPRS. doi:10.5194/isprs-annals-IV-1-117-2018
2017
Point cloud analysis for UAV-borne laser scanning with horizontally and vertically oriented line scanners - Concept and first results. Weinmann, M.; Müller, M. S.; Hillemann, M.; Reydel, N.; Hinz, S.; Jutzi, B. 4th ISPRS International Conference on Unmanned Aerial Vehicles in Geomatics, Bonn, Germany, 4th - 7th September 2017, 399–406, International Society for Photogrammetry and Remote Sensing, Beijing. doi:10.5194/isprs-archives-XLII-2-W6-399-2017
SQUEEZEPOSENET: Image based pose regression with small convolutional neural networks for real time uas navigation. Müller, M. S.; Urban, S.; Jutzi, B. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences - International Conference on Unmanned Aerial Vehicles in Geomatics, Bonn, Germany, 4–7 September 2017. Vol.: IV-2/W3, 49–57, ISPRS. doi:10.5194/isprs-annals-IV-2-W3-49-2017
2016
Lebendige Technikgeschichte – erste Erfahrungen mit dem nachgebauten „Novum Instrumentum Geometricum“ von Leonhard Zubler. Rösch, N.; Mann, S.; Runge, P.; Ziegler, S.; Müller, M. S. VDV-Magazin, 1, 40–46. doi:10.5194/isprs-archives-XLII-2-W6-399-2017
Determination of Steering Wheel Angles During Car Alignment by Image Analysis Methods. Müller, M.; Vögtle, T. XXIII ISPRS Congress, 12–19 July 2016, Prague, Czech Republic, 77–83, ISPRS. doi:10.5194/isprsarchives-XLI-B5-77-2016