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Computer Vision Group
TUM Department of Informatics
Technical University of Munich

Technical University of Munich



Research Interest

Erik's main research area is 3D reconstruction in various forms such as online 3D-reconstruction using depth sensors and estimating fine-detailed 3D models using photometric stereo techniques. He is also interested in methods for reconstructing humans in dynamic scenes.

Short Bio

He received his MSc in Engineering Physics from Lund University 2013 where he also obtained his PhD under supervision from Carl Olsson and Fredrik Kahl. The title of his PhD-thesis is Optimization Methods for 3D Reconstruction: Depth Sensors, Distance Functions and Low-Rank Models.

After his PhD he worked one year as a researcher at Lund University in cooperation with SONY-Mobile. He joined the Computer Vision Group headed by Prof. Daniel Cremers in May as a Post-Doc.

Find me on Google Scholar, LinkedIn

Our paper Combining Depth Fusion and Photometric Stereo for Fine Detailed 3D Models received the SCIA 2019 Honourable Mention Award.

Rechte Seite

Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

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Bernt Schiele (Max Planck Institute for Informatics) will give a talk in the TUM AI lecture series on June 10th, 3pm! Livestream

French-German Machine Learning Symposium

French-German Machine Learning Symposium

The French-German Machine Learning Symposium aims to strengthen interactions and inspire collaborations between both countries. We invited some of the leading ML researchers from France and Germany to this two-day symposium to give a glimpse into their research, and engage in discussions on the future of machine learning and how to strengthen research collaborations in ML between France and Germany.

The list of speakers includes Yann LeCun, Cordelia Schmid, Jean-Bernard Lasserre, Bernhard Schölkopf, and many more! For the full program please visit the webpage.


Ron Kimmel (Technion - Israel Institute of Technology) will give a talk in the TUM AI lecture series on May 6th, 3pm! Livestream


4Seasons Dataset: We have released a novel dataset for benchmarking multi-weather SLAM in autonomous driving.


Hao Li (Pinscreen) will give a talk in the TUM AI lecture series on April 22nd, 8pm! Livestream