New Project on Early Stage Diabetes Detection
Prof. Dr.-Ing. Margret Keuper (Alumni)
Image Processing
Email: keuper (at) uni-mannheim.de
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/
Phd Students
at the University of Mannheim
external Phd Students
- Kalun Ho (Fraunhofer ITWM)
- Amrutha Saseendran (Bosch BCAI)
- Yuxuan Zhou (Bosch BCAI)
- Steffen Jung (MPII)
Publications
News:
Estimating the Robustness of Classification Models by the Structure of the Learned Feature-Space, K. Ho, F.-J. Pfreundt, J Keuper, M Keuper, https://arxiv.org/abs/2106.12303
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.
- Schäfer, B., Keuper, M. and Stuckenschmidt, H. (2021). Arrow R-CNN for handwritten diagram recognition. International Journal on Document Analysis and Recognition : IJDAR, 24, 3–17.
- Keuper, M., Tang, S., Andres, B., Brox, T. and Schiele, B. (2020). Motion segmentation & multiple object tracking by correlation co-clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42, 140–153.
- Ilg, E., Saikia, T., Keuper, M. and Brox, T. (2018). Occlusions, motion and depth boundaries with a generic network for disparity, optical flow or scene flow estimation. Computing Research Repository (CoRR), 2018, 1–26.
- Primpeli, A., Bizer, C. and Keuper, M. (2020). Unsupervised bootstrapping of active learning for entity resolution. In , The Semantic Web : 17th International Conference, ESWC 2020, Heraklion, Crete, Greece, May 31-June 4, 2020, Proceedings (S. 215–231). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
- Kardoost, A. and Keuper, M. (2019). Solving minimum cost lifted multicut problems by node agglomeration. In , Computer Vision – ACCV 2018 : 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers, Part IV (S. 74–89). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
- Broscheit, S., Gemulla, R. and Keuper, M. (2018). Learning distributional token representations from visual features. In , ACL 2018, Representation Learning for NLP : Proceedings of the Third Workshop : July 20, 2018 Melbourne, Australia (S. 187–194). , Association for Computational Linguistics: Stroudsburg, PA.
- Ilg, E., Saikia, T., Keuper, M. and Brox, T. (2018). Occlusions, motion and depth boundaries with a generic network for disparity, optical flow or scene flow estimation. In , Computer Vision – ECCV 2018 : 15th European Conference, Munich, Germany, September 8–14, 2018, Proceedings, Part XII (S. 626–643). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
- Offel, M., der Aa, H. and Weidlich, M. (2018). Towards net-based formal methods for complex event processing. In , LWDA 2018 : Proceedings of the Conference “Lernen, Wissen, Daten, Analysen”, Mannheim, Germany, August 22–24, 2018 (S. 281–284). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
- Gemulla, R., Ponzetto, S. P., Bizer, C., Keuper, M. and Stuckenschmidt, H. (eds.) (2018). LWDA 2018 : Proceedings of the Conference “Lernen, Wissen, Daten, Analysen”, Mannheim, Germany, August 22–24, 2018. Aachen, Germany: RWTH Aachen.
Awards and Nominations
- Outstanding Reviewer Award, ICCV 2017
- Winner of the CVPR 2017 Multiple Object Tracking Challenge
- Outstanding Reviewer Award, BMVC 2017
- Outstanding Reviewer Award, ECCV 2016
- Outstanding Reviewer Award, ICCV 2015
Teaching
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)
Other:
Co-organization of the LWDA 2018 conference (Lernen. Wissen. Daten. Analysen) in Mannheim.
