As data scientist and part of the Data Science and Future & Trends Research Group of the Nuremberg Institute for Market Decisions, René Schallner researches methods for gaining marketing intelligence from social media pictures, together with Dr. Carolin Kaiser. In 2016 the research project “Social Media Pictures” won the innovation price of the German BVM (Bundesverband Deutscher Markt- und Sozialforscher).
His primary focus lies in the application and development of modern technologies and methods, such as Deep Learning, in the area of Computer Vision, and their application on mobile devices.
Within 15 years of international work as a self-employed software engineer, he transitioned from the telecom industry via the medical-engineering sector into the field of market research. There he spent the first three years analyzing smartphone data at GfK SE, before joining the GfK Verein in 2016.
René Schallner graduated from the “Higher department of electronics and technical informatics” of the Austrian "Höhere Technische Bundeslehr- und Versuchsanstalt" in Mödling near Vienna.
Harzig, P., Brehm, S., Lienhart, R., Kaiser, C., and Schallner, R. (2018). Multimodal Image Captioning for Marketing Analysis. In Proceedings of the IEEE Conference on Multimedia Information Processing and Retrieval, FL, USA.
Paolanti, M., Kaiser, C., Schallner, R., Frontoni, E., and Zingaretti, P. (2017). Visual and Textual Sentiment Analysis of Brand-Related Social Media Pictures Using Deep Convolutional Neural Networks. In Battiato, S., Gallo, G., Schettini, R., and Stanco, F., editors, Lecture Notes in Computer Science, vol 10484, Springer, 402-413.