Eleonora Vig
Senior Applied Scientist at Amazon
Greater Munich Metropolitan Area Germany
Summary
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Senior🎓
Top SchoolEleonora Vig is a Senior Applied Scientist specializing in computer vision with over 11 years of experience spanning academia and industry, currently leading research at Amazon from the Greater Munich area. She has developed benchmark-winning deep learning methods for scene understanding—human action recognition, multi-object tracking, detection, and semantic segmentation—with applications in autonomous driving and crowd behavior modeling. Her work has been published at top venues (CVPR, ECCV, T-PAMI, BMVC), resulted in several patents, and helped secure multiple awards and grants totaling millions of euros. Eleonora has led research groups at DLR and as a Helmholtz Young Investigator, combining hands-on algorithm development with project and team leadership. She bridges rigorous academic methodology with product-focused deployment, routinely moving models from state-of-the-art research into real-world systems. A detail often missed: her background includes both industry R&D at Xerox Research and early software development, giving her rare end-to-end fluency from engineering to scientific impact.
11 years of coding experience
12 years of employment as a software developer
MSc Intelligent Systems, MSc Intelligent Systems at Babes-Bolyai University, RomaniaPhD Computer Vision, PhD Computer Vision at University of Lübeck, Germany
Hungarian, English, German, Romanian, French, ItalianGithub contributions (1)
coxlab/edn-cvpr2014
Oct 2014 - Mar 2016
Contributions:6 commits, 4 pushes in 1 year 5 months
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