Direkt zum Inhalt springen
Computer Vision Group
TUM Department of Informatics
Technical University of Munich

Technical University of Munich



Thomas Frerix

PhD StudentTechnical University of Munich

Department of Informatics
Informatics 9
Boltzmannstrasse 3
85748 Garching

Tel: +49-89-289-17780
Fax: +49-89-289-17757
Office: 02.09.035
Mail: thomas.frerix@tum.de

About myself

I am a PhD student at the Technical University of Munich advised by Prof. Daniel Cremers. Previously, I received my Bachelor in Physics from the University of Göttingen and my Master in Theoretical and Mathematical Physics in a joint program from LMU Munich and TU Munich. My current research interests lie in machine learning and optimization.

Please don't hesitate to contact me if you have questions or are interested in a collaboration.


Summer Term 2021

Winter Term 2020/2021

Winter Term 2019/2020

Summer Term 2019

Winter Term 2017/2018

Summer Term 2017


Export as PDF, XML, TEX or BIB

[]Homogeneous Linear Inequality Constraints for Neural Network Activations (T. Frerix, M. Nießner and D. Cremers), In preprint, 2019. (arXiv) [bibtex]
Conference and Workshop Papers
[]Approximating Orthogonal Matrices with Effective Givens Factorization (T. Frerix and J. Bruna), In Proceedings of the 36th International Conference on Machine Learning (ICML), 2019. (URL, code) [bibtex]
[]Proximal Backpropagation (T. Frerix, T. Möllenhoff, M. Moeller and D. Cremers), In International Conference on Learning Representations (ICLR), 2018. (arXiv:1706.04638, code) [bibtex]
[]Associative Domain Adaptation (P. Haeusser, T. Frerix, A. Mordvintsev and D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2017. ([code] [PDF from CVF]) [bibtex] [pdf]
Powered by bibtexbrowser
Export as PDF, XML, TEX or BIB

Rechte Seite

Informatik IX
Chair of Computer Vision & Artificial Intelligence

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

Follow us on:
CVG Group DVL Group



Rick Szeliski (University of Washington) will give a talk in the TUM AI lecture series on Jan 28th, 5pm! Livestream


Frank Dellaert (Georgia Tech) will give a talk in the TUM AI lecture series on Dec 17th, 4pm! Livestream


Jon Barron (Google) will give a talk in the TUM AI lecture series on Oct 22nd, 9pm! Livestream


We have five papers accepted to 3DV 2020!


Our effcient deep network architectures form the AI engine of the project Slow Down COVID-19 at Harvard.