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Technical University of Munich

Technical University of Munich

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Teaching

Summer Term 2021

* Machine Learning for Computer Vision (IN2357)
Lecture (2 h) and Exercise (1 h) (5 ECTS)

Winter Term 2020/2021

* Machine Learning for Computer Vision (IN2357)
Lecture (2 h) and Exercise (1 h) (5 ECTS)

Summer Term 2020

* Machine Learning for Computer Vision (IN2357)
Lecture (2 h) and Exercise (1 h) (5 ECTS)

Winter Term 2019/2020

* Machine Learning for Computer Vision (IN2357)
Lecture (2 h) and Exercise (2 h) (5 ECTS)

Summer Term 2019

* Machine Learning for Computer Vision (IN2357)
Lecture (2 h) and Exercise (1 h) (5 ECTS)

Winter Term 2018/2019

* Machine Learning for Computer Vision (IN2357)
Lecture (2 h) and Exercise (1 h) (5 ECTS)

Summer Term 2018

* Machine Learning for Computer Vision (IN2357)
Lecture (2 h) and Exercise (1 h) (5 ECTS)

Winter Term 2017/2018

* Machine Learning for Computer Vision (IN3200)
Lecture (2 h) and Exercise (1 h) (4 ECTS)

Summer Term 2017

* Machine Learning for Computer Vision (IN3200)
Lecture (2 h) and Exercise (1 h) (4 ECTS)

Winter Term 2016/2017

* Machine Learning for Computer Vision (IN3200)
Lecture (2 h) and Exercise (1 h) (4 ECTS)

Summer Term 2016

* Machine Learning for Computer Vision (IN3200)
Lecture (2 h) and Exercise (1 h) (4 ECTS)

Winter Term 2015/2016

* Machine Learning for Computer Vision (IN3200)
Lecture (2 h) and Exercise (1 h) (4 ECTS)

* Numerisches Programmieren (in German)
Lecture (2 h) and Exercise (3 h) (6 ECTS)

Summer Term 2015

Winter Term 2014/2015

* Numerisches Programmieren (in German)
Lecture (2 h) and Exercise (3 h) (6 ECTS) * Seminar: Current Trends in Machine Learning (IN 2107)
(2 h / 4 ECTS)

Winter Term 2013/2014

Summer Term 2013

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Informatik IX
Chair of Computer Vision & Artificial Intelligence

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

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News

04.06.2021

Bernt Schiele (Max Planck Institute for Informatics) will give a talk in the TUM AI lecture series on June 10th, 3pm! Livestream

05.05.2021
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.

03.05.2021

Ron Kimmel (Technion - Israel Institute of Technology) will give a talk in the TUM AI lecture series on May 6th, 3pm! Livestream

23.04.2021

4Seasons Dataset: We have released a novel dataset for benchmarking multi-weather SLAM in autonomous driving.

19.04.2021

Hao Li (Pinscreen) will give a talk in the TUM AI lecture series on April 22nd, 8pm! Livestream

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