We are looking for outstanding candidates (Doctoral Researchers) to work in the EVA group on the topics of Video analysis with a focus on data-efficiency, learning with few labels, robustness and controllability, . learn more
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 , 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”. hessian.AI