Prof. Dr.-Ing. Margret Keuper (Alumni)

Image Processing

Email: keuper (at)

We recently moved to the University of Siegen. Visit our new page here.


    I joined the Data and Web Science Group in April 2017 as a Juniorprofessor. My research interests are Computer Vision and Machine Learning. More specifically, I am interested in problems such as

    • Learning Graph Embeddings and Graph Representations
    • Neural Architecture Search
    • Grouping Problems (in applications such as Image and Motion Segmentation and Multiple Object Tracking)
    • Efficient Solvers for Large Grouping Problems
    • Motion Estimation
    • Image Generation and Deep Fake Detection


    During my PhD with Thomas Brox at the University of Freiburg, I focused on the segmentation in volumetric bio-medical image data.

    Ongoing Research Projects

    DeToL – Deep Topology Learning - funded by the BMBF (Federal Ministry of Education and Research)

    Video Segmentation from Multiple Representations using Lifted Multicuts - DFG Project KE 2264/1–1


    Phd Students

    at the University of Mannheim

    external Phd Students





    Estimating the Robustness of Classification Models by the Structure of the Learned Feature-Space, K. Ho, F.-J. Pfreundt, J Keuper, M Keuper,

    Beyond the Spectrum: Detecting Deepfakes by Image Re-Synthesis, Y He, N Yu, M Keuper, M Fritz, accepted at IJCAI 2021

    Uncertainty in Minimum Cost Multicuts for Image and Motion Segmentation, A Kardoost, M Keuper,  arXiv preprint arXiv:2105.07469, accepted at UAI 2021

    Multi-Class Multi-Instance Count Conditioned Adversarial Image Generation, A Saseendran, K Skubch, M Keuper, arXiv preprint arXiv:2103.16795

    SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain, P Harder, FJ Pfreundt, M Keuper, J Keuper, arXiv preprint arXiv:2103.03000, accepted at IJCNN 2021

    Learning embeddings for image clustering: An empirical study of triplet loss approaches, K Ho, J Keuper, FJ Pfreundt, M Keuper, 2020 25th International Conference on Pattern Recognition (ICPR), 87–94

    Object Segmentation Tracking from Generic Video Cues, A Kardoost, S Müller, J Weickert, M Keuper, 2020 25th International Conference on Pattern Recognition (ICPR), 623–630

    Smooth variational graph embeddings for efficient neural architecture search, J Lukasik, D Friede, A Zela, F Hutter, M Keuper, arXiv preprint arXiv:2010.04683, accepted at IJCNN 2021



    You can also find a full list of my publications on Google Scholar.

    Awards and Nominations


    At the University of Mannheim, I am teaching the following courses:

    Higher Level Computer Vision (CS 646)

    Image Processing (CS 647)

    Professional Activities

    Invited Talks:

    • “Introduction to Computer Vision“ at Female's Favour{IT}e Conference 2018, Feb. 2018.
    • „Probabilistic Graphical Models for Multi-Class Segmentation in Images and Videos“, Colloquiumsvortrag, Institut für Neuroinformatik, Bochum, Sep. 2016.
    • “Segmentation of Neuronal Structures using Multi-Label Level Sets”. In the ISBI-2012 workshop/challenge on Segmentation of neuronal structures in EM stacks organized by Ignacio Arganda-Carreras, Sebastian Seung, Albert Cardona, and Johannes Schindelin, März 2012.

    PC Member / Reviewer:

    Conferences: ECCV (since 2014), ICCV (since 2015), CVPR (since 2016), ICPR (2016), ACCV (since 2016), BMVC (since 2017), NeurIPS (since 2018), GCPR 2018 (meta-reviewer), AAAI (SPC 2021),

    Journals: IEEE Transactions for Circuits and Systems for Video Technology – TCSVT (2015), Image and Vision Computing Journal – IMAVIS (2016), IEEE Transactions on Pattern Analysis and Machine Intelligence – TPAMI (2015, 2016, 2017, 2018), IEEE Transactions on Image Processing – TIP (2017, 2018), Pattern Recognition (2017), The Visual Computer Journal (2017), Journal of Electronic Imaging (2016, 2017), Applied Computing and Informatics (2018), Entropy (2017), Computer Vision and Image Understanding (2017)


    Co-organization of the LWDA 2018 conference (Lernen. Wissen. Daten. Analysen) in Mannheim.