New Professor on Computer Vision joining the DWS group: Prof. Dr.-Ing. Margret Keuper

The Data and Web Science group is very happy to announce that Prof. Dr.-Ing. Margret Keuper has joined the group as Juniorprofessor for Computer Vision and Image Processing. A warm welcome to Professor Keuper, we are very happy to have her in the group now!

Below, you find an overview of Professor Keuper's research as well as the courses that she will offer at the University of Mannheim.


Extracting relevant information from a scene is an easy task for humans. During car driving, the driver knows where pedestrians are walking dangerously close to the street or which bicyclist might cross their way. Thus, image analysis is a highly relevant aspect in technologies such as humanoid robotics or autonomous driving. The task is to understand images and image sequences with their motion patterns, to recognize and delineate object categories such as "person", "pedestrian" or "car". Such questions drive the research of computer scientist Margret Keuper. Her focus is on the formulation and optimization of segmentation or clustering problems, i.e. the grouping of picture and video elements to relevant entities such as pedestrians or driving cars in crowded street scenes. During her PhD, she focused on the automated analysis of volumetric, microscopic recordings, with high relevance for biological research questions, for example in collaboration with the Max-Planck-Institute for Immunobiology and Epigenetics.

Research Interests

  • Image and Video Segmentation
  • Motion Analysis


  • Image Processing (autumn semester): This lecture focusses on the fundamentals of image processing. Central aspects are: Imaging and fundamental image operators, feature extraction, image segmentation and motion estimation.
  • Higher Level Computer Vision (spring semester): This lecture focusses on more complex computer vision algorithms, such as image and video segmentation by continuous and combinatorial optimization, motion estimation and depth reconstruction. An further important topic are the fundamentals of convolutional neural networks for the implementation of deep learning algorithms for computer vision.

 Former Positions

  • 2012-2017: PostDoc at the University of Freiburg
  • 2013-2017: Visiting researcher at the Max-Planck-Institute for Informatics, Saarbrücken

Further Information

Further information about Professor Keuper is found on her webpage.