Publications

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Author Title [ Type(Desc)] Year
Journal Article
Kiefhaber, D, Zappa, C J and Jähne, B (2015). Influence of natural surfactants on short wind waves in the coastal Peruvian waters. 12 1291–1325
Suhr, H, Wehnert, G, Schneider, K, Bittner, C, Scholz, T, Geißler, P, Jähne, B and Scheper, T (1995). In-situ microscopy for on-line characterization of cell-populations in bioreactors, including concentration measurements by depth from focus. Biotechnology and Bioengineering. 47 106--116
Gall, J, Potthoff, J, Schnörr, C, Rosenhahn, B and Seidel, H - P (2007). Interacting and Annealing Particle Filters: Mathematics and a Recipe for Applications. J.~Math.~Imag.~Vision. 28 1--18PDF icon Technical Report (1.11 MB)
Gall, J, Potthoff, J, Schnörr, C, Rosenhahn, B and Seidel, H - P (2007). Interacting and Annealing Particle Filters: Mathematics and a Recipe for Applications. J. Math. Imag. Vision. 28 1–18
Rother, C and Kolmogorov, V (2011). Interactive foreground extraction using graph cut. Advances in Markov \ldots. 1–20. http://research.microsoft.com/pubs/147408/rotheretalmrfbook-grabcut.pdf
Ding, L and Yilmaz, A (2010). Interactive image segmentation using probabilistic hypergraphs. Pattern Recognition. 43 1863–1873. http://www.research.microsoft.com/vision/cambridge
Wenig, M, Spichtinger, N, Stohl, A, Held, G, Beirle, S, Wagner, T, Jähne, B and Platt, U (2002). Intercontinental transport of nitrogen oxide pollution plumes. acpd. 3 2151--2165
Wenig, M, Spichtinger, N, Stohl, A, Held, G, Beirle, S, Wagner, T, Jähne, B and Platt, U (2003). Intercontinental transport of nitrogen oxide pollution plumes. Atmos. Chem. Phys. 3 387--393
Kunz, J and Jähne, B (2018). Investigating small scale air-sea exchange processes via thermography. Front. Mech. Eng. 26
Friman, S I and Jähne, B (2019). Investigating SO2 transfer across the air–water interface via LIF. Exp. Fluids. 60 65
Jähne, B, Libner, P, Fischer, R, Billen, T and Plate, E J (1989). Investigating the transfer process across the free aqueous boundary layer by the controlled flux method. Tellus. 41B 177--195
Schimpf, U, Garbe, C S and Jähne, B (2004). Investigation of transport processes across the sea surface microlayer by infrared imagery. J. Geophys. Res. 109 C08S13
Broecker, W S, Ledwell, J R, Takahashi, T, Weiss, R, Merlivat, L, Memery, L, Jähne, B and Münnich, K O (1986). Isotopic versus micrometeorologic ocean CO$_2$ fluxes: A serious conflict. J. Geophys. Res. 91 10517--10528
Stefanoiu, A, Weinmann, A, Storath, M, Navab, N and Baust, M (2016). Joint Segmentation and Shape Regularization with a Generalized Forward Backward Algorithm. IEEE Transactions on Image Processing. 25 3384 - 3394PDF icon Technical Report (3.55 MB)
Diego, F, Serrat, J and López, A M (2012). Joint SpatioTemporal Alignment of Sequences. IEEE Transactions on Multimedia (TMM). PP (99) 1PDF icon Technical Report (5.15 MB)
Storath, M, Weinmann, A and Unser, M (2017). Jump-penalized least absolute values estimation of scalar or circle-valued signals. Information and Inference. 6 225–245PDF icon Technical Report (3.4 MB)
Fiaschi, L, Grosser, K - H, Afonso, B, Zlatic, M and Hamprecht, F A (2013). Keeping Count: Leveraging Temporal Context to Count Heavily Overlapping Objects. ISBI 2013.Proceedings. 656-659PDF icon Technical Report (711.68 KB)
Andres, B, Kappes, J H, Köthe, U and Hamprecht, F A (2010). The Lazy Flipper: MAP Inference in Higher-Order Graphical Models by Depth-limited Exhaustive Search. ArXiv e-prints. http://arxiv.org/abs/1009.4102PDF icon Technical Report (625.06 KB)
Hühnerbein, R, Savarino, F, Petra, S and Schnörr, C (2019). Learning Adaptive Regularization for Image Labeling Using Geometric Assignment. preprint: arXiv. https://arxiv.org/abs/1910.09976
Nickisch, H, Rother, C, Kohli, P and Rhemann, C (2010). Learning an Interactive Segmentation System - Supplemental Material
Heiler, M and Schnörr, C (2006). Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming. J. Mach. Learning Res. 7 1385–1407. http://www.cvgpr.uni-mannheim.de/Publications
Ommer, B and Buhmann, J M (2010). Learning the Compositional Nature of Visual Object Categories for Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE. 32 501--516PDF icon Technical Report (2.78 MB)
Fiaschi, L, Nair, R, Köthe, U and Hamprecht, F A (2012). Learning to Count with Regression Forest and Structured Labels. ICPR 2012. Proceedings. 2685-2688PDF icon Technical Report (3.66 MB)
Lou, X and Hamprecht, F A (2012). Learning to Segment Dense Cell Nuclei with Shape Prior. CVPR 2012. Proceedings. 1012-1018PDF icon Technical Report (2.66 MB)
Sommer, C, Fiaschi, L, Hamprecht, F A and Gerlich, D (2012). Learning-based Mitotic Cell Detection in Histopathological Images. ICPR 2012. Proceedings. 2306-2309PDF icon Technical Report (1.96 MB)
Münsterer, T and Jähne, B (1998). LIF measurements of concentration profiles in the aqueous mass boundary layer. Exp. Fluids. 25 190--196
Peckar, W, Schnörr, C, Rohr, K, Stiehl, H –S and Spetzger, U (1998). Linear and Incremental Estimation of Elastic Deformations in Medical Registration Using Prescribed Displacements. Machine Graphics & Vision. 7 807–829
Rother, C and Carlsson, S (2002). Linear multi view reconstruction and camera recovery using a reference plane. International Journal of Computer Vision. 49 117–141
Rother, C (2003). Linear Multi-View Reconstruction for Translating Cameras. Nada.Kth.Se. http://www.nada.kth.se/ carstenr/papers/paper_ssab03.pdf
Weber, S, Schüle, T, Schnörr, C and Hornegger, J (2004). A Linear Programming Approach to Limited Angle 3D Reconstruction from DSA Projections. Methods of Information in Medicine. 43 320–326
Fehr, J (2010). Local Rotation Invariant Patch Descriptors for 3D Vector Fields. Pattern Recognition, International Conference on, Istanbul, Turkey, August 23-26, 2010. 1381-1384
Bruhn, A, Weickert, J and Schnörr, C (2005). Lucas/Kanade Meets Horn/Schunck: Combining Local and Global Optic Flow Methods. 61 211-231
Strouse, T M D (2016). Marijuana's Public Health Pros and Cons | For Better | US News. U.S. News and World Report. http://health.usnews.com/health-news/patient-advice/articles/2016-10-12/marijuanas-public-health-pros-and-cons
Kandemir, M, Hamprecht, F A, Wojek, C and Schmidt, U (2017). Maschinelles Lernen. Patent, Patent Number WO2017032775A1PDF icon Technical Report (317.04 KB)
Erb, W, Weinmann, A, Ahlborg, M, Brandt, C, Bringout, G, Buzug, T M, Frikel, J, Kaethner, C, Knopp, T, März, T, Möddel, M, Storath, M and Weber, A (2018). Mathematical Analysis of the 1D Model and Reconstruction Schemes for Magnetic Particle Imaging. Inverse Problems. 34

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