Chair

On the occasion of the retirement of Prof. Walter Kellermann, who worked at the LMS since 1999 as holder of the professorship for communications, the LMS arranged a farewell event on March 25, 2024. It opened with a colloquium chaired by Prof André Kaup starting at 1:30 pm in the lecture hall H6 wit...

Join us at the prestigious Ferienakademie 2024 (22.09.2024 – 04.10.2024) located in the picturesque Sarntal Alps of South Tirol. This comprehensive course provides an in-depth overview of classical image and video processing algorithms, a foundational understanding of deep learning principles, and a detailed exploration of practical applications.

For various research projects at the interface between image/video signal processing and machine learning, the Chair of Multimedia Communications and Signal Processing is looking for Research Assistants (m/f/d) with the possibility to do a PhD. You can find the job ad here.

Andreas Brendel received the VDE Bayern Award 2023 for his dissertation From Blind to Semi-Blind Acoustic Source Separation based on Independent Component Analysis, which he completed at the LMS in June 2022 under the supervision of Prof. Walter Kellermann. The award was presented at a ceremony at t...

On Nov. 10th, the chair conducted an excursion to the company Dallmeier electronic in Regensburg, which develops and manufactures video-based surveillance system. The excursion was completed by a visit of the Hofbräuhaus Regensburg and a guided city tour.

In this episode of "Knowledge in 1 minute" - videos on TikTok about fascinating fields at FAU - Annika Briegleb explains basic characteristics of audio signals in the context of speech enhancement as it can be found in smartphones and hearing aids. Which signals are easy to suppress and which not? F...

Prof. Walter Kellermann was appointed as Research Fellow of Fraunhofer IIS. The award ceremony took place on October 18, 2023 at Fraunhofer IIS in Erlangen-Tennenlohe.

On Oct. 21 from 5 to 12pm, the Lange Nacht der Wissenschaften took place in the metropolitan region of Erlangen-Nuremberg-Fuerth. The LMS was also present at this event with two demonstrations. In one of them, the visitors could take place in a “virtual barber shop” where the acoustic illusion of a ...

This year our machine learning team participated in the International Conference on Computer Vision (ICCV) 2023 with two conference papers and one workshop paper. Our first paper is on "Out-of-Distribution Detection for Monocular Depth Estimation". The paper presents an approach for estimating epist...

In this video from the series "2 Minuten Wissen" (2 minutes of knowledge), our colleague Annika Briegleb discusses annoying background noise when making phone calls. In the video, she explains how multiple microphones can be used to successfully suppress complex and variable noises such as road traf...

On October 05 and 06, 2023, after a four-year break, the "Igel" seminar finally took place again. We heard interesting talks about research topics from staff members of the two chairs LMS and idc. The talks gave insights into different topics from signal processing and digitial communications, fro...

The results of the exam "Introduction to Deep Learning" from August 3, 2023 are now available on Campo. Examination records can be inspected in room 06.025 (Cauerstr. 7) on the following dates: Wednesday, September 20, 2023 at 10:00 a.m. Friday, September 22, 2023 at 12:00 p.m.

We are happy to announce that our colleagues Christian Herglotz, Matthias Kränzler, Robert Schober and André Kaup published an article in the  Magazine of the IEEE Circuits and Systems Society. The paper is entitled "Sweet Streams are Made of This: The System Engineer’s View on Energy Efficiency in ...

What is the relation between recycling and image processing? In the first episode of 1 Minute Wissen on the FAU's TikTok channel, Frank Sippel explains multispectral camera arrays, i.e. cameras that record more than just the usual three color channels red, green, and blue. Such a camera array, which...

For our research group on "Machine Learning", we are searching for a new PhD student with the topic of deep generative models and uncertainty estimation.