Publications

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2020
A. Zeilmann, Savarino, F., Petra, S., and Schnörr, C., Geometric Numerical Integration of the Assignment Flow, Inverse Problems, vol. 36, p. 034004 (33pp), 2020.
S. Wolf, Bailoni, A., Pape, C., Rahaman, N., Kreshuk, A., Köthe, U., and Hamprecht, F. A., The Mutex Watershed and its Objective: Efficient, Parameter-Free Graph Partitioning, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 43, pp. 3724-3738, 2020.PDF icon Technical Report (2.58 MB)
S. Haller, Prakash, M., Hutschenreiter, L., Pietzsch, T., Rother, C., Jug, F., Swoboda, P., and Savchynskyy, B., A Primal-Dual Solver for Large-Scale Tracking-by-Assignment, AISTATS 2020. 2020.PDF icon PDF (1.04 MB)
S. Haller, Prakash, M., Hutschenreiter, L., Pietzsch, T., Rother, C., Jug, F., Swoboda, P., and Savchynskyy, B., A Primal-Dual Solver for Large-Scale Tracking-by-Assignment, AISTATS 2020. 2020.PDF icon PDF (1.04 MB)
A. Bailoni, Pape, C., Wolf, S., Kreshuk, A., and Hamprecht, F. A., Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks, GCPR, vol. 12544. Springer, pp. 331-344, 2020.
S. Wolf, Li, Y., Pape, C., Bailoni, A., Kreshuk, A., and Hamprecht, F. A., The Semantic Mutex Watershed for Efficient Bottom-Up Semantic Instance Segmentation, ECCV. Proceedings. pp. 208-224, 2020.
Y. Censor, Petra, S., and Schnörr, C., Superiorization vs. Accelerated Convex Optimization: The Superiorized/Regularized Least Squares Case, J. Appl. Numer. Optimization (in press; arXiv:1911.05498), vol. 2, pp. 15-62, 2020.
A. Zern, Zisler, M., Petra, S., and Schnörr, C., Unsupervised Assignment Flow: Label Learning on Feature Manifolds by Spatially Regularized Geometric Assignment, Journal of Mathematical Imaging and Vision, 2020.

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