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Computer Vision Group
TUM School of Computation, Information and Technology
Technical University of Munich

Technical University of Munich



Computer Vision III: Detection, Segmentation and Tracking


The "Computer Vision III" course in winter semester 22/23 provides a comprehensive overview of methods for high-level computer vision tasks. These tasks provide the most compelling examples of computer vision and its use in the real world. Despite many challenges, we have seen substantial progress over the past years, fuelled by deep learning. Research on object detection, tracking and semantic segmentation is one the most active and impactful in computer vision.


To attend the course, please register in TUMonline.
Keep in mind that you will have to register for the exam separately later on.

Course website

All course material, announcements and the discussion forum will be provided on Moodle.

What When Where Who
Lecture Tuesdays, 16:00-18:00 004, Hörsaal 1 "Interims II" Nikita Araslanov
Exercise Thursdays, 08:00-10:00 MI HS 1, Friedrich L. Bauer Hörsaal Regine Hartwig
Dominik Muhle

If you have any questions that may be relevant to other students, please post in the forum on Moodle. For individual inquiries, you can send us an email to cv3-ws22@vision.in.tum.de.


The course material this semester will be heavily based on the previous iterations, which were developed and taught by Prof. Dr. Laura Leal-Taixé.

Rechte Seite

Informatik IX
Computer Vision Group

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

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Fulbright PULSE podcast on Prof. Cremers went online on Apple Podcasts and Spotify.


MCML Kick-Off

On July 27th, we are organizing the Kick-Off of the Munich Center for Machine Learning in the Bavarian Academy of Sciences.


AI Symposium

On July 22nd 2022, we are organizing a Symposium on AI within the Technology Forum of the Bavarian Academy of Sciences.


We are organizing a workshop on Map-Based Localization for Autonomous Driving at ECCV 2022, Tel Aviv, Israel.


In April 2022 Jürgen Sturm and Daniel Cremers were featured among the top 6 most influential scholars in robotics of the last decade.