Florian Scheidegger achieved a Master of Science ETH in Electrical Engineering and Information Technology in 2017 with a main focus on software and hardware development for high performance data processing applications. He worked for five months at the Integrated Systems Laboratory of ETH developing a spatio-temporal video pipeline in first part, followed by a work that uses Neuronal Nets to classify videos. In January 2017, he started as PhD at IBM research Zürich for the OPRECOMP project. Florian Scheidegger achieved a Master of Science ETH in Electrical Engineering and Information Technology in 2017 with a main focus on software and hardware development for high performance data processing applications. He worked for five months at the Integrated Systems Laboratory of ETH developing a spatio-temporal video pipeline in first part, followed by a work that uses Neuronal Nets to classify videos. In January 2017, he started as PhD at IBM research Zürich for the OPRECOMP project.
patio-temporal video pipeline