Dr. Simone Schaub-Meyer appointed independent research group leader

Research on “Image and Video Analysis”


Dr. Simone Schaub-Meyer was appointed head of the independent research group “Image and Videoanalysis” on 25 January. With the Independent Research Groups (IRG), the department enables young researchers to achieve early scientific independence.

Dean Prof. Dr. Dr. Christian Reuter awards Dr. Simone Schaub-Meyer her IRG certificate.

Before starting her own group,Dr Simone Schaub-Meyer has been working as a postdoctoral researcher in Professor Stefan Roth's Visual Inference Lab. In 2018, she received her PhD from the ETH Zurich in collaboration with Disney Research Zurich. In her thesis, which was awarded the ETH Medal, she developed novel methods for motion representation and video frame interpolation. Prior to joining TU Darmstadt in 2020, Schaub-Meyer worked as a postdoctoral researcher at the Media Technology Lab at ETH Zurich, in the field of augmented reality.

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 image synthesis.

The primary research focus of the IRG group is the development of data-efficient, scalable, robust, and understandable algorithms for analyzing video data.

To achieve this goal, the group will develop unsupervised learning methods for domain transfer and lifelong learning, as well as technologies for the utilization of additional information sources (e.g., self-supervised signals, geometric priorities, or the use of additional modalities), and approaches for understanding predictions and their failure.

This topic area is relevant for the development of robotics, augmented reality, autonomous driving, and computational photography. It is a crucial building block for the development of general artificial intelligence.

Schaub-Meyer also heads the Efficient Video Analysis (EVA) project group at hessian.AI, which is funded by the HMWK. Her research focuses on the development of efficient, robust and controllable methods and algorithms that can learn from less labels by exploiting low-level perception and high-level reasoning.

Independent Research Groups (IRG)

The Department of Computer Science offers excellent conditions for an academic career.

The high level of qualification expected from leaders of IRGs will be ascertained through a nomination process that meets the requirements of an appointment procedure.

Among other privileges, IRG leaders have the right to supervise doctoral students and can also take on teaching responsibilities if they wish.

Mehr erfahren