IAM

DAVIDSTUTZ

I am a research scientist at DeepMind interested in robust and safe deep learning. Before, I was a PhD student at the Max Planck Institute for Informatics supervised by Bernt Schiele as well as Matthias Hein . In 2021, I interned at DeepMind, working with Taylan Cemgil, Krishnamurthy (Dj) Dvijotham and Arnaud Doucet. Throughout my PhD, I also collaborated with Nandhini Chandramoorthy from the IBM T. J. Watson Research Center and volunteered in the PhdNet survey group.

My PhD was supported by a Qualcommm Innovation Fellowship 2019. Furthermore, my work on bit error robustness was selected as outstanding paper at CVPR 2021 CV-AML, I was selected to participate in the 7th Heidelberg Laureate Forum 2020, and my work on 3D reconstruction received the STEM-Award IT 2018. I was also recognized as outstanding/top reviewer for CVPR, ICML and NeurIPS in several.

Full CV
Check out my research: PUBLICATIONS TALKS TALKS ON YOUTUBE THESES

PhD Research Summary

Previously, I obtained both a bachelor and a master degree from RWTH Aachen University . For my master thesis, I worked on weakly-supervised 3D shape completion under the supervision of Andreas Geiger from the Max Planck Institute for Intelligent Systems and received the STEM-Award IT 2018 as well as the Springorum-Denkmünze . As part of my master degree, I also had the opportunity to spend a semester at Georgia Tech , funded by a scholarship from the Hans Hermann Voss Foundation , working with Irfan Essa on video segmentation. For my bachelor thesis, I worked on superpixel segmentation under the supervision of Bastian Leibe . Throughout my studies, I received the Germany Scholarship partly funded by DSA Daten- und Systemtechnik GmbH and was selected repeatedly for RWTH Aachen University's Dean's List. Over the years, I worked for RS Computer , Fraunhofer FKIE , the Computer Vision Group and MATHCCES at RWTH Aachen University , Fyusion , MOBIS and Microsoft . Additionally, I got a glimpse of IT consulting as part of Accenture's Future Technology Leaders Program.

On this blog you will find articles, reading notes and some projects — which can also be found on GitHub or ShortScience . Here's my CV , some mission statements , as well as LinkedIn , Xing , Google Scholar and YouTube profiles.