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Computer Vision Group
TUM School of Computation, Information and Technology
Technical University of Munich

Technical University of Munich

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Linus Härenstam-Nielsen

PhD StudentTechnical University of Munich

School of Computation, Information and Technology
Informatics 9
Boltzmannstrasse 3
85748 Garching
Germany

Tel: 017682091318
Fax: +49-89-289-17757
Office: 
Mail: linus.nielsen@tum.de

Links: Google Scholar GitHub Linkedin

Research Interests

  • Learning-based 3D reconstruction and pose estimation, especially approaches based on sensor-fusion
  • Semidefinite relaxations for certifiably optimal solvers in computer vision

About

I received my M.Sc. in Systems control and Robotics from KTH, Royal Institute of Technology (Stockholm, Sweden) in 2018. After that I spent roughly 3 years as a computer vision engineer at Univrses working on visual odometry and deep learning for autonomous driving. Since September 2021 I am a Ph.D. student in the Computer Vision Group, headed by Prof. Dr. Daniel Cremers at TUM. I spent the first year of the PhD at Artisense.

Publications


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Conference and Workshop Papers
2020
[]Optimal least-squares solution to the hand-eye calibration problem (A Dekel, L Härenstam-Nielsen and S Caccamo), In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.  [bibtex] [arXiv:2002.10838]
Other Publications
2023
[] Semidefinite Relaxations for Robust Multiview Triangulation (L Härenstam-Nielsen, N Zeller and D Cremers), arXiv, 2023.  [bibtex] [pdf] [doi]
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Rechte Seite

Informatik IX
Computer Vision Group

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

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News

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023.

31.08.2022

Fulbright PULSE podcast on Prof. Cremers went online on Apple Podcasts and Spotify.

17.07.2022

MCML Kick-Off

On July 27th, we are organizing the Kick-Off of the Munich Center for Machine Learning in the Bavarian Academy of Sciences.

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