Current Topics / Important Developments in Computer Vision and Machine Learning

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.

Prerequisites

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.

Material

• Ethical Guidelines for the Authoring of Academic Work in German and English
• Declaration of Compliance in German and English
• LaTeX for the report (mandatory!): Template
• Slide template (optional): PPT, Keynote, LaTeX

Schedule

• Introductory Meeting: 18.10.2019 - mandatory for all participants (Slides)
• Outline due: TBA
• Report due: TBA
• Slides due: TBA
• Presentations: TBA - Please hand in your corrected report at this date!

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