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TUM Department of Informatics
Technical University of Munich

Technical University of Munich

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Nan Yang

PhD student

Technische Universität München

Department of Computer Science
Informatik 9
Boltzmannstrasse 3
85748 Garching

Fax: +49-89-289-17757
Mail: yangn@in.tum.de


  • [09.2019] One paper accepted for CoRL 2019, Osaka – oral.
  • [07.2018] One paper accepted for ECCV 2018, Munich – oral (2.5%, link).
  • [06.2018] One paper accepted for IROS 2018, Madrid.
  • [05.2018] One paper accepted for publication in RA-L.

Research Interests

My research interests lie in incorporating deep learning into visual odometry and SLAM.

Deep Virtual Stereo Odometry (DVSO)Project Page

Brief Bio

Nan Yang received his Bachelor's degree in Computer Science from Beijing University of Posts and Telecommunications and his Master's degree in Informatics from the Technical University of Munich. Since May 2018, he is a PhD student and senior computer vision & AI researcher in Artisense, a startup co-founded by Prof. Daniel Cremers.


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Journal Articles
[]Challenges in Monocular Visual Odometry: Photometric Calibration, Motion Bias and Rolling Shutter Effect (N. Yang, R. Wang, X. Gao and D. Cremers), In In IEEE Robotics and Automation Letters (RA-L) & Int. Conference on Intelligent Robots and Systems (IROS), volume 3, 2018. ([arxiv]) [bibtex] [doi] [pdf]
Conference and Workshop Papers
[]D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry (N. Yang, L. von Stumberg, R. Wang and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.  [bibtex] [arXiv:2003.01060] [pdf]Oral Presentation
[]DirectShape: Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation (R. Wang, N. Yang, J. Stueckler and D. Cremers), In Proc. of the IEEE International Conference on Robotics and Automation (ICRA), 2020. ([arxiv][video][presentation][project page][supplementary]) [bibtex] [pdf]
[]Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light (E. Jung, N. Yang and D. Cremers), In Conference on Robot Learning (CoRL), 2019. ([arxiv],[supplementary],[video]) [bibtex]Full Oral Presentation
[]Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry (N. Yang, R. Wang, J. Stueckler and D. Cremers), In European Conference on Computer Vision (ECCV), 2018. ([arxiv],[supplementary],[video],[talk],[project]) [bibtex]Oral Presentation
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Rechte Seite

Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching