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Computer Vision Group
TUM Department of Informatics
Technical University of Munich

Technical University of Munich

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Informatik IX
Chair of Computer Vision & Artificial Intelligence

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

Follow us on:
CVG Group DVL Group

News

02.10.2020

We have five papers accepted to 3DV 2020!

30.09.2020

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

24.07.2020

Our practical course "Vision-based Navigation" (WS18, SS19) by Dr. Vladyslav Usenko and Nikolaus Demmel was honored as best practical course in the academic year 2018/2019 by the department for Informatics.

07.05.2020

We are organizing a workshop on Map-based Localization for Autonomous Driving at ECCV 2020, Glasgow, UK.

13.04.2020

Daniel Cremers received an ERC Advanced Grant (3.5 Mio Euro) for pioneering frontier research from the European Research Council. This constitutes his fifth ERC grant.

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Yuesong Shen

PhD StudentTechnical University of Munich

Department of Informatics
Informatics 9
Boltzmannstrasse 3
85748 Garching
Germany

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.)

Teaching

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

Follow us on:
CVG Group DVL Group

News

02.10.2020

We have five papers accepted to 3DV 2020!

30.09.2020

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

24.07.2020

Our practical course "Vision-based Navigation" (WS18, SS19) by Dr. Vladyslav Usenko and Nikolaus Demmel was honored as best practical course in the academic year 2018/2019 by the department for Informatics.

07.05.2020

We are organizing a workshop on Map-based Localization for Autonomous Driving at ECCV 2020, Glasgow, UK.

13.04.2020

Daniel Cremers received an ERC Advanced Grant (3.5 Mio Euro) for pioneering frontier research from the European Research Council. This constitutes his fifth ERC grant.

More