Current Topics in Computer Vision and Machine Learning


SS 2019





Note: This page is for a course from a previous semester.
Find a list of current courses on the Teaching page.

Seminar Description

Computer Vision is a very active research field with many interesting applications. Many of its recent successes are due to advances in Machine Learning research. It is therefore useful to study the two fields together and to draw cross-links between them.

The conferences with the strongest impact in Computer Vision are CVPR, ICCV, and ECCV, whereas NIPS and ICML have the strongest impact on the Machine Learning community. In this seminar we will discuss recent results presented at those conferences with a focus on the most interesting and innovative ideas. Participating students have the chance to get familiar with state-of-the-art solutions to problems in Computer Vision and Machine Learning and will get an insight into the involved techniques.

Successful participants will be awarded 4 ECTS credits.


Successful completion of at least one the lectures Computer Vision, Machine Learning, Computer Vision 2, Advanced Machine Learning, Pattern Recognition and Neural Networks, or evidence of equivalent knowledge.



We will announce the precise dates soon

For all questions concerning the seminar, please contact

Paul Voigtlaender (voigtlaender@vision.rwth-aachen.de)

UMIC Research Centre

Mies-van-der-Rohe-Strasse 15, Room 127

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