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

Technical University of Munich

Menu

Links


Machine Learning for Computer Vision (IN2357) (2h + 2h, 5ECTS)

SS 2019, TU München

Announcements

You can use our library for the programming exercises: mlcv-tutorial

April, 24th: Link for piazza: https://piazza.com/tum.de/spring2019/in2357

FAQ

1. Attendance to the lecture is open for all.

2. If your pursuing degree is not in Computer Science and you want to take the exam, you should ask the administrative staff responsible for your degree whether that is possible (it most probably is).

3. If you are a LMU student and you want to take the exam, you should ask the administrative staff responsible for your degree whether that is possible (it most probably is).

4. There is no way to get extra points for your final grade, such as bonus exercises, etc.

Lecture

Location: 5620.01.102 Interims Hörsaal 2
Date: Fridays, starting from April 26th
Time: 12.00 - 14.00
Important! New Starting time: 12:15!
Lecturer: PD Dr. habil. Rudolph Triebel
SWS: 2

Tutorial

Location: 5620.01.102 Interims Hörsaal 2
Date: Thursdays, starting from May 2nd
Time: 16.00 - 18.00
Lecturer: John Chiotellis, Maximilian Denninger, Martin Sundermeyer
SWS: 2

Contents

In this lecture, the students will be introduced into the most frequently used machine learning methods in computer vision and robotics applications. The major aim of the lecture is to obtain a broad overview of existing methods, and to understand their motivations and main ideas in the context of computer vision and pattern recognition.

Note that the lecture has a new module number now. In earlier semesters it was IN3200, now it is IN2357. The content is however (almost) the same. For material from previous semesters, please refer to, e.g.: WS2017

Prerequisites

Linear Algebra, Calculus and Probability Theory are essential building blocks to this course. The homework exercises do not have to be handed in. Solutions for the programming exercises will be provided in Python .

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

05.12.2021
04.12.2021

TANDEM (CoRL 2021) received the Best Demo Award at 3DV 2021! Congrats to Lukas Koestler, Nan Yang, and Niclas Zeller!

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 brought together some of the leading ML researchers from France and Germany to give us a glimpse into their research and engage in discussions on the future of machine learning. 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

More