Please find my dissertation (Doktorarbeit) here: https://mediatum.ub.tum.de/1444880
I finished my PhD in computer science at TUM 2018. My focus was research in computer vision and machine learning (colloquially known as "artificial intelligence") advised by Prof. Daniel Cremers.
I hold a Master's degree in physics from the University of California, Santa Cruz (USA) and a Bachelor's degree in physics from the LMU Munich where I was working at the cavity quantum optics group headed by Prof. T.W. Haensch.
When I'm not in the lab you might find me playing squash or volleyball or you might encounter one of my TV productions.
I will be on leave from May 2017 – September 2017 for an internship at Google.
More about my research at Google can be found here and here.
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Conference and Workshop Papers
2018
[] Associative Deep Clustering - Training a Classification Network with no Labels , In Proc. of the German Conference on Pattern Recognition (GCPR), 2018.
2017
[] Associative Domain Adaptation , In IEEE International Conference on Computer Vision (ICCV), 2017. ([code] [PDF from CVF])
[] Better Text Understanding Through Image-To-Text Transfer , In arxiv:1705.08386, 2017.
[] Learning by Association - A versatile semi-supervised training method for neural networks , In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. ([code] [PDF from CVF])
2015
[] FlowNet: Learning Optical Flow with Convolutional Networks , In IEEE International Conference on Computer Vision (ICCV), 2015. ([video],[code])