Christoph Reinders studied Computer Science at Leibniz Universität Hannover. For his Bachelor's thesis – "Handwriting Recognition On-The-Fly" – he was awarded the "Studienpreis 2014 des VDE Hannover". In the winter of 2014 he studied at the University of California, Berkeley, as a visiting student researcher and conducted research with Professor Alexei Efros on interactive editing during photo-capture for an iPad app.
Throughout his Master he focused on image processing and machine learning and graduated in October 2017. His Master's thesis, "Deep-Learning based Road Type Classification", deals with training fully convolutional networks with very little data by combining random forests and convolutional neural networks. Since November 2017, he has been working towards his PhD at the Institut für Informationsverarbeitung (TNT). His main research interests are deep learning and image processing.
If you are interested in any of these topics for a student position, bachelor's thesis, or master's thesis, feel free to contact me.
The training and test dataset used in "Object Recognition from very few Training Examples for Enhancing Bicycle Maps" is available upon request.