Image Processing
Email: keuper (at) uni-mannheim.de
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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
During my PhD with Thomas Brox at the University of Freiburg, I focused on the segmentation in volumetric bio-medical image data.
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/
at the University of Mannheim
external Phd Students
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.
At the University of Mannheim, I am teaching the following courses:
Higher Level Computer Vision (CS 646)
Image Processing (CS 647)
Invited Talks:
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.