Check out our latest research on weakly-supervised 3D shape completion.

I am a PhD student at the Max Planck Institute for Informatics supervised by Prof. Bernt Schiele interested in computer vision and deep learning. Previously, I completed my master degree at RWTH Aachen University and wrote my master thesis at the Max Planck Institute for Intelligent Systems supervised by Prof. Andreas Geiger . During my master degree, I also spent a semester abroad at Georgia Tech working with Prof. Irfan Essa . I also hold a bachelor degree from RWTH Aachen University for which I wrote my bachelor thesis in the Computer Vision Group supervised by Prof. Bastian Leibe .

Over the last few years, I worked for RS Computer , Fraunhofer FKIE , the Computer Vision Group and MATHCCES at RWTH Aachen University , Fyusion , MOBIS and Microsoft . I am still working as a freelance web developer.

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


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What I've been up to ...

In September, I was honored to receive the MINT-Award IT 2018, sponsored by ZF and audimax, for my master thesis on weakly-supervised shape completion. For CVPR 2019, however, I am working on a different topic: adversarial robustness and generalization of deep neural networks.18thOCTOBER2018
In the last few months, I finished my work on weakly-supervised 3D shape completion with a CVPR 2018 paper as well as a follow-up journal submission. This means that I will be visiting CVPR this year. Afterwards, I plan to focus on robustness of deep neural networks — for example: why do adversarial examples exist and how can we defend deep neural networks against them? To answer these questions, I will also be visiting MLSS 2018 later this summer.22thMAY2018