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Computer Vision Group
TUM Department of Informatics
Technical University of Munich

Technical University of Munich



Yuesong Shen

PhD StudentTechnical University of Munich

Department of Informatics
Informatics 9
Boltzmannstrasse 3
85748 Garching

Tel: +49-89-289-17790
Fax: +49-89-289-17757
Office: 02.09.039
Mail: yuesong [dot] shen [at] in [dot] tum [dot] de

Research Interests

Graphical models, (Bayesian) deep learning, machine learning, and how to apply them in computer vision.

Master thesis / IDP / Guided research ...

Are you looking for a cool master thesis / IDP / guided research / bachlor thesis? Are you interested in machine learning / deep learning beyond stacking layers and tuning hyperparameters? You have come to the right place!

I am offering ML/DL projects related to Uncertainy estimation (Bayesian deep learning), new network designs, probabilistic graphical models, and more!

If you fulfill the following minimum requirements:

  • Solid background in machine learning / deep learning (e.g. reasonably good grades for ML/DL courses);
  • Practical Python programing skill and familiarity with numpy and pytorch;
  • Reasonable math background (the math involved in ML lecture should not be hard for you);

and hopefully meet some of the following additional strong points:

  • Practical ML/DL project experiences (research internships, past thesis/IDP/guided research, practical course …);
  • Strong math background (proba/stat, optimization. differential geometry, etc);
  • Good academic performance (e.g., fellow best.in.tum members);
  • Other relevant strong points that make you stand out;

feel free to apply via the application form (you might also get additional offers from other members of the chair) and/or contact me personally to let me know your interests and project preferences.

(Due to the potential high demand, unfortunately I won't be able to reply to all emails. If you do not hear from me 2 weeks after your contact, you should assume that unfortunately I do not have any project at hand that suits your expertise.)


Winter Term 2020/2021

Summer Term 2020

Winter Term 2019/2020

Summer Term 2019

Winter Term 2018/2019

Rechte Seite

Informatik IX
Chair of Computer Vision & Artificial Intelligence

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

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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


Thomas Pock (TU Graz) will give a talk in the TUM AI lecture series on April 15th, 3pm! Livestream