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Florian Scheidegger

researcher
research
IBM Research
Swaziland

Biography

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.

Research Interest

patio-temporal video pipeline

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