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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.

  • Introduction to Deep Learning (I2DL) (IN2346)
  • Mathematical background: Linear algebra and calculus.
  • Knowledge of Python is mandatory.
  • Knowledge of PyTorch is highly recommended.
What When Where Who
Lecture Tuesdays, 16:00-18:00 004, Hörsaal 1 "Interims II" (5416.01.004) Nikita Araslanov
Exercise Thursdays, 08:00-10:00 00.02.001, MI HS 1, Friedrich L. Bauer Hörsaal (5602.EG.001) 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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CVPR 2023

We have six papers accepted to CVPR 2023.


NeurIPS 2022

We have two papers accepted to NeurIPS 2022.


WACV 2023

We have two papers accepted at WACV 2023.


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.