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Journal Articles
- 2023
[j2]Alexander Zeilmann
, Stefania Petra, Christoph Schnörr:
Learning Linearized Assignment Flows for Image Labeling. J. Math. Imaging Vis. 65(1): 164-184 (2023)- 2021
- [j1]Saskia Haupt, Alexander Zeilmann, Aysel Ahadova, Hendrik Bläker, Magnus von Knebel Doeberitz, Matthias Kloor, Vincent Heuveline:
Mathematical modeling of multiple pathways in colorectal carcinogenesis using dynamical systems with Kronecker structure. PLoS Comput. Biol. 17(5) (2021)
Conference and Workshop Papers
- 2021
- [c3]Daniel Gonzalez-Alvarado, Alexander Zeilmann, Christoph Schnörr:
Quantifying Uncertainty of Image Labelings Using Assignment Flows. GCPR 2021: 453-466 - [c2]Alexander Zeilmann, Stefania Petra, Christoph Schnörr:
Learning Linear Assignment Flows for Image Labeling via Exponential Integration. SSVM 2021: 385-397 - 2019
- [c1]Lorenzo Cerrone, Alexander Zeilmann, Fred A. Hamprecht:
End-To-End Learned Random Walker for Seeded Image Segmentation. CVPR 2019: 12559-12568
Informal and Other Publications
- 2022
- [i4]Bastian Boll, Alexander Zeilmann, Stefania Petra, Christoph Schnörr:
Self-Certifying Classification by Linearized Deep Assignment. CoRR abs/2201.11162 (2022) - 2021
- [i3]Alexander Zeilmann, Stefania Petra, Christoph Schnörr:
Learning Linearized Assignment Flows for Image Labeling. CoRR abs/2108.02571 (2021) - 2020
- [i2]Artjom Zern, Alexander Zeilmann, Christoph Schnörr:
Assignment Flows for Data Labeling on Graphs: Convergence and Stability. CoRR abs/2002.11571 (2020) - 2019
- [i1]Lorenzo Cerrone, Alexander Zeilmann, Fred A. Hamprecht:
End-to-End Learned Random Walker for Seeded Image Segmentation. CoRR abs/1905.09045 (2019)
Coauthor Index
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