Simone Schaub-Meyer Dr. Sc.
Junior research group leader | data-Efficient Video Analysis (EVA) group
Contact
simone.schaub@visinf.tu-...
work +49 6151 16-25411
fax +49 6151 16-25412
Work
S2|02 A306
Hochschulstr. 10
64289
Darmstadt
Visual Inference Lab
Junior research group leader | data-Efficient Video Analysis (EVA) group
simone.schaub@visinf.tu-...
work +49 6151 16-25411
fax +49 6151 16-25412
Work
S2|02 A306
Hochschulstr. 10
64289
Darmstadt
Simone Schaub-Meyer is leading the EVA group. She has joined TU Darmstadt as a postdoctoral researcher in the Visual Inference Lab in 2020. She obtained her doctoral degree in 2018 from ETH Zurich and in collaboration with Disney Research Zurich. Her research interests lie at the intersection of computer vision, computer graphics, and machine learning with a focus on motion representation, temporal interpolation, and video frame synthesis. Prior to joining TU Darmstadt, she was a postdoctoral researcher at the Media Technology Lab at ETH Zurich working on augmented reality.
The data-Efficient Video Analysis (EVA) group is researching novel AI methods for visual data with a focus on developing efficient, robust and controllable methods and algorithms that can learn from less labels by exploiting low-level perception and high-level reasoning. EVA has been created as a DEPTH research group within the HMWK-funded cluster project "The Third Wave of Artificial Intelligence (3AI)". The cluster project is embedded into hessian.AI, the Hessian Centre for Artificial Intelligence, with its mission to “understand the interplay of AI algorithms, AI systems, and synergies between artificial and natural intelligence to provide the foundation for AI transformation”.
We would like to customise the information and usability of this website to your preferences and needs.
To this end, we use so-called cookies. Please choose which cookies you would like to enable when visiting our webpages.
Some of these cookies are required to load and correctly display this website on your device.
These are strictly necessary or essential cookies and cannot be deselected.
The preferences cookie saves your language setting, while the statistics cookie regulates
how the open-source statistical software “Matomo” analyses your visits to and activities on our website.
For more information about cookies we use, please refer to our
privacy policy.