Limitations of Deep Learning and Future Directions These are the lecture notes for FAU's YouTube Lecture "Deep Learning". This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep lea...

Highlights at FAU These are the lecture notes for FAU's YouTube Lecture "Deep Learning". This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automati...

It's a great pleasure to announce that our Lecture Notes in Deep Learning created a lot of positive feedback. They are to large degrees automatically generated. Yet, we just got the news that a new column "FAU Lecture Notes" was established in Towards Data Science, a Medium publication with more th...

Motivation & High Profile Applications These are the lecture notes for FAU's YouTube Lecture "Deep Learning". This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniq...

Authors: Jessica Diehm, Robert Hermann, Tobias Pertlwieser, Wei-Cheng, Weilin Fu, Florian Kordon, Andreas Maier Description With the rise of deep learning , we see a dramatic need for curated and annotated medical image data. In particular, in volumetric images, such annotations are extremely...

BaCaTeC will fund a joint project between Jokerst Bioimaging Lab at UCSD and PRL with 9.000 EUR. In the collaboration, we want to develop an algorithm to automatically detect wounds from non-invasive ultrasound and photoacoustic images.

Multi-modal (Audio, Text, Visual) Emotion Recognition Grant Awardee: Ronak Kosti Grant Duration: July-2020 to June-2021 Project Description We recognize people's emotions from their facial expressions, body posture, behavior and social interaction with other people. It is an essential ability wh...

Seven common mistakes that break your machine learning experiments' credibility Written by Andreas Maier Machine learning is a great tool that is revolutionizing our world right now. There are lots of great applications in which machine and in particular deep learning has shown to be way supe...

Written by Prathmesh Madhu Contribution This work exploits style transfer in combination with transfer learning to recognize characters in art historical images. Our approach focuses on recognizing two central characters in the "Annunciation of the Lord" scene from Art history, Mary and Gabri...

You think handwriting is unique and cannot be imitated? We show the contrary in our work. To the best of our knowledge, it is the first paper that synthesizes realistic Western cursive handwriting by mimicking the actual temporal writing process. Our method works nearly fully automatic, e.g. no manual cutting out of characters, and is able to render full lines instead of glyphs/words as in other works.