Nikolaus Mayer

PhD Student

Computer Vision Lab
Department of Computer Science
University of Freiburg

Office location:
Georges-Köhler-Allee, Building 052, 2nd floor (1. OG), room 01-032
79110 Freiburg

Phone: +49 761 203 8276

Brief Bio Scientific Interests Publications Projects Teaching Miscellaneous

Brief Bio

Nikolaus Mayer received his Bachelor's degree in Computer Science in 2011 and his Master's degree in Applied Computer Science in 2014 at the University of Freiburg, Germany. Each time he was honored as best of the year.

For his Master's thesis work he was awarded the 2014 VDI-Förderpreis (sponsorship award of the Association of German Engineers).

In March 2014 he joined the Computer Vision Group in Freiburg under Prof. Thomas Brox as a full-time PhD student.

Scientific Interests

  • Neural networks for 3D vision
  • Synthetic data generation for deep learning
Input Output
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  • Input images from Disney Research: C. Kim, H. Zimmer, Y. Pritch, A. Sorkine-Hornung, and M. Gross.
    Scene Reconstruction from High Spatio-Angular Resolution Light Fields.
    ACM Transactions on Graphics 32(4) (Proceedings of ACM SIGGRAPH 2013)





D. Kaljaca, Nikolaus Mayer, B. Vroegindeweij, A. Mencarelli, E. van Henten, Thomas Brox
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE: 5542--5549, Nov 2019





Master's Thesis

  • N. Mayer, "Coupling ICP and Whole Image Aligment for Real-time Camera Tracking", Albert-Ludwigs-Universität Freiburg, January 2014 [pdf]



  • The TrimBot2020 project is funded by the ERC and brings together partners from all over Europe

  • We are building an autonomous gardening robot, with lots of vision and robotics components working hand-in-hand


Summer term 2019

Winter term 2018/2019

Summer term 2016

Winter term 2015/2016

Summer term 2015

Winter term 2014/2015

Summer term 2014

  • Lecture assistance: Computer Vision II
  • Proseminar: Bildverarbeitung mit ImageJ und OpenCV (Topic: Scanline Disparity Estimation)

Student's theses and projects supervision

  • Bachelor's thesis: "Enabling and Analyzing Mixed Precision Training in Convolutional Neural Networks", 2020

  • Master's thesis: "A CNN Based Blind Approach to Lossy Image Compression Artefact Reduction", 2020

  • Master's thesis: "Quantifying and improving CNN robustness against common image degradations", 2019 (together with Huizhong Zhou)

  • Master project: "Joint SfM and disparity network for depth estimation in stereo videos", 2018 (together with Benjamin Ummenhofer)

  • Bachelor's thesis: "Evaluation of Dataset Characteristics for Deep Network Training", 2017

  • Master project: "Automated Anthropometric Measurements with a Consumer Depth Camera", 2015


Some talks and code