Publications

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Author Title [ Type(Asc)] Year
Journal Article
M. Frank and Hamprecht, F. A., Image-Based Supervision of a Periodically Working Machine, Pattern Analysis and Applications, pp. 1-10, 2011.PDF icon Technical Report (466.61 KB)
F. Aström, Petra, S., Schmitzer, B., and Schnörr, C., Image Labeling by Assignment, J. Math. Imag. Vision, vol. 58, pp. 211–238, 2017.
R. Hühnerbein, Savarino, F., Aström, F., and Schnörr, C., Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment, SIAM Journal on Imaging Sciences, vol. 11, no. 2, pp. 1317-1362, 2018.PDF icon Technical Report (2.62 MB)
R. Hühnerbein, Savarino, F., Aström, F., and Schnörr, C., Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment, SIAM J. Imaging Science, vol. 11, pp. 1317–1362, 2018.
S. Berg, Kutra, D., Kroeger, T., Straehle, C. N., Kausler, B. X., Haubold, C., Schiegg, M., Ales, J., Beier, T., Rudy, M., Eren, K., Cervantes, J. I., Xu, B., Beuttenmüller, F., Wolny, A., Zhang, C., Köthe, U., Hamprecht, F. A., and Kreshuk, A., ilastik: interactive machine learning for (bio)image analysis, Nature Methods, vol. 16, pp. 1226-1232, 2019.
B. Andres, Köthe, U., Kröger, T., and Hamprecht, F. A., How to Extract the Geometry and Topology from Very Large 3D Segmentations, ArXiv e-prints, 2010.PDF icon Technical Report (1.44 MB)
A. Donath and Kondermann, D., How Good is Crowdsourcing for Optical Flow Ground Truth Generation?, submitted to CVPR, 2013.
D. Kiefhaber, Reith, S., Rocholz, R., and Jähne, B., High-speed imaging of short wind waves by shape from refraction, J. Europ. Opt. Soc. Rap. Public., vol. 9, p. 14015, 2014.
J. Kappes, Speth, M., Reinelt, G., and Schnörr, C., Higher-order Segmentation via Multicuts, Comp. Vision Image Understanding, vol. 143, pp. 104–119, 2016.
C. Kräuter, Trofimova, D., Kiefhaber, D., Krah, N., and Jähne, B., High resolution 2-D fluorescence imaging of the mass boundary layer thickness at free water surfaces, J. Europ. Opt. Soc. Rap. Public., vol. 9, p. 14016, 2014.
R. Nair and Kondermann, D., High Precision TOF-guided Depth from Stereo for Room Scanning, CVMP, Proceedings., 2011.
A. Bruhn, Jakob, T., Fischer, M., Weickert, J., Brüning, U., and Schnörr, C., High performance cluster computing with 3-D nonlinear diffusion filters, Real-Time Imaging, vol. 10, pp. 41–51, 2004.
R. Lindner, Lou, X., Reinstein, J., Shoeman, R. L., Hamprecht, F. A., and Winkler, A., Hexicon 2: Automated Processing of Hydrogen-Deuterium Exchange Mass Spectrometry Data with Improved Deuteration Distribution Estimation, Journal of The American Society for Mass Spectrometry, vol. 25, pp. 1018-1028, 2014.PDF icon Technical Report (2.1 MB)
B. Jähne, Wais, T., Memery, L., Caulliez, G., Merlivat, L., Münnich, K. O., and Coantic, M., He and Rn gas exchange experiments in the large wind-wave facility of IMST, J. Geophys. Res., vol. 90, p. 11,989--11,998, 1985.
B. Jähne, Gut beleuchtet ist halb gemessen, QZ, vol. 44, p. 1283--1288, 1999.
L. Ardizzone, Lüth, C., Kruse, J., Rother, C., and Köthe, U., Guided Image Generation with Conditional Invertible Neural Networks, 2019.
L. Ardizzone, Lüth, C., Kruse, J., Rother, C., and Köthe, U., Guided Image Generation with Conditional Invertible Neural Networks, 2019.
M. Schiegg, Hanslovsky, P., Haubold, C., Köthe, U., Hufnagel, L., and Hamprecht, F. A., Graphical Model for Joint Segmentation and Tracking of Multiple Dividing Cell, Bioinformatics, vol. 31, no. 6, pp. 948-956, 2015.PDF icon Technical Report (534.29 KB)
C. Leue, Wenig, M., Jähne, B., and Platt, U., GOME mißt atmosphärische Stickoxide. Globale Biomassenverbrennung und Industrieemissionen, Physik in unserer Zeit, vol. 29, p. 179, 1998.
J. Heers, Schnörr, C., and Stiehl, H. S., Globally–Convergent Iterative Numerical Schemes for Non–Linear Variational Image Smoothing and Segmentation on a Multi–Processor Machine, IEEE Trans. Image Proc., vol. 10, pp. 852–864, 2001.
L. Kostrykin, Schnörr, C., and Rohr, K., Globally Optimal Segmentation of Cell Nuclei in Fluoroscence Microscopy Images using Shape and Intensity Information, Medical Image Analysis, 2019.
B. Schmitzer and Schnörr, C., Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes, J. Math. Imag. Vision, vol. 52, pp. 436–458, 2015.
B. Schmitzer and Schnörr, C., Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes, J.~Math.~Imag.~Vision, vol. 52, p. 436--458, 2015.PDF icon Technical Report (1.97 MB)
S. Wanner, Straehle, C. N., and Goldlücke, B., Globally Consistent Multi-Label Assignment on the Ray Space of 4D Light Fields, CVPR 2013. Proceedings, pp. 1011-1018, 2013.
O. J. Woodford, A Global Perspective on MAP Inference for Low-Level Vision Supplementary material to ICCV submission \# 1536, Optimization, 2009.
B. Savchynskyy and Schmidt, S., Getting Feasible Variable Estimates From Infeasible Ones: MRF Local Polytope Study, arXiv:1210.4081, 2012.
A. Zeilmann, Savarino, F., Petra, S., and Schnörr, C., Geometric Numerical Integration of the Assignment Flow, Inverse Problems, vol. 36, p. 034004 (33pp), 2020.
A. Zeilmann, Savarino, F., Petra, S., and Schnörr, C., Geometric Numerical Integration of the Assignment Flow, Inverse Problems, 2019.
A. Zeilmann, Savarino, F., Petra, S., and Schnörr, C., Geometric Numerical Integration of the Assignment Flow, preprint: arXiv, 2018.
F. Aström and Schnörr, C., A Geometric Approach for Color Image Regularization, Comp. Vision Image Understanding, vol. 165, pp. 43–59, 2017.
J. C. Rubio, Eigenstetter, A., and Ommer, B., Generative Regularization with Latent Topics for Discriminative Object Recognition, Pattern Recognition, vol. 48, p. 3871--3880, 2015.PDF icon Technical Report (5.49 MB)
F. A. Hamprecht, Scott, W. R. P., and van Gunsteren, W. F., Generation of pseudo-native protein structures for threading, Proteins, vol. 28, pp. 522-529, 1997.
J. Schmähling and Hamprecht, F. A., Generalizing the Abbott-Firestone curve by two new surface descriptors, Wear, vol. 262, pp. 1360-1371, 2007.PDF icon Technical Report (877.34 KB)
A. Nicola, Petra, S., Popa, C., and Schnörr, C., A general extending and constraining procedure for linear iterative methods, Int. J. Comp. Math., 2011.
A. Nicola, Petra, S., Popa, C., and Schnörr, C., A general extending and constraining procedure for linear iterative methods, Int.~J.~Comp.~Math., 2011.PDF icon Technical Report (633.79 KB)

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