Hello there, my name is Simon, I work as a research assistant here at the Computer Vision for Human Computer Interaction Lab.

I am excited by democratizising machine learning and making it's benefits accessible to endeavours of all sizes.
In my research, I aim at breaking down the obstacles when deploying vision technology by designing cost-efficient, economical methods while upholding excellent performance.
I develop computer vision algorithms that leverage small and inexpensive data to solve semantic segmentation tasks.

If you as a passionate student are interested in bringing streamlined semantic segmentation systems to all developers regardless of how niche the field of application, shoot me an e-mail and come work with me (see below for open thesis topics).

Topics that interest me most include but are not limited to, semi-supervised learning, weakly-supervised learning, self-supervised learning, medical image segmentation as well as unsupervised image segmentation.

I work in a close collaboration with the Carl Zeiss AG.