IAM

DAVIDSTUTZ

I am looking for full-time (applied) research opportunities in industry, involving (trustworthy and robust) machine learning or (3D) computer vision, starting early 2022. Check out my CV and get in touch on LinkedIn!

I am a PhD student at the Max Planck Institute for Informatics supervised by Bernt Schiele as well as Matthias Hein from the University of Tübingen. In 2021, I was a research scientist intern in the robust and verified AI team 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. I volunteer in the PhdNet survey group.

Broadly, my research interests lie in computer vision and machine learning. My academic research addresses robustness of deep neural networks against adversarial examples and adversarial or random bit errors in (quantized) weights. Previously, I worked on weakly-supervised 3D reconstruction and superpixel segmentation. In industry, I worked on various computer vision problems including line segment/kaypoint tracking and pedestrian detection. Generally, I am interested in trustworthy machine learning and deep learning for (3D) computer vision applications.

My research is 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.

Full CV

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. Occasionally, I still do web development.

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.