Brand, Fabian

Fabian Brand, M.Sc.

Chair of Multimedia Communications and Signal Processing

Forschung

The main topic of my work is deep-learning-based image and video compression. This includes compression methods which are only based on neural networks and such, which extend traditional image and video coders with neural-network-based components. You can find further information on the following page:

Offered Thesis

I am always offering topics in deep-learning-based image and video compression

https://www.lms.tf.fau.de/deep-learning-in-video-coding/

Awards

  • , , , , : Top Viewed Q&A Paper Award (1st place) (IEEE International Conference on Image Processing) – 2020
  • , , : Best Paper Award (Picture Coding Symposium, Ningbo, China) – 2019

Teaching

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Publications

2024

2023

2022

2021

2020

2019

2017