Publications

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Author Title [ Type(Desc)] Year
Journal Article
Hering, F, Wierzimok, D, Leue, C and Jähne, B (1997). Particle tracking velocimetry beneath water waves. Part I: visualization and tracking algorithms. Exp. Fluids. 23 472--482
Hering, F, Wierzimok, D, Leue, C and Jähne, B (1998). Particle tracking velocimetry beneath water waves. part II : water waves. Exp. Fluids. 24 10-16
Weickert, J and Schnörr, C (2000). PDE–Based Preprocessing of Medical Images. Künstliche Intelligenz. 3 5–10
Munder, S, Schnörr, C and Gavrila, D M (2008). Pedestrian Detection and Tracking Using a Mixture of View-Based Shape-Texture Models. IEEE Trans. Intell. Transp. Systems. 9 333-343
Preusser, T, Droske, M, Garbe, C S, Rumpf, M and Telea, A (2007). A phase field method for joint denoising, edge detection, and motion estimation in image sequence processing.. SIAM Journal of Applied Mathematics. 68 599-618
Denitiu, A, Petra, S, Schnörr, C and Schnörr, C (2014). Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections. Fundamenta Informaticae. 135 73--102PDF icon Technical Report (2.24 MB)
Denitiu, A, Petra, S, Schnörr, C and Schnörr, C (2014). Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections. Fundamenta Informaticae. 135 73–102
Vlasenko, A and Schnörr, C (2010). Physically Consistent and Efficient Variational Denoising of Image Fluid Flow Estimates. IEEE Trans. Image Proc. 19 586-595
Vlasenko, A and Schnörr, C (2010). Physically Consistent and Efficient Variational Denoising of Image Fluid Flow Estimates. IEEE Trans.~Image Proc. 19 586-595PDF icon Technical Report (2.65 MB)
Besse, F, Rother, C, Fitzgibbon, A and Kautz, J (2014). PMBP: PatchMatch Belief Propagation for correspondence field estimation. International Journal of Computer Vision. Kluwer Academic Publishers. 110 2–13
Besse, F, Rother, C, Fitzgibbon, A and Kautz, J (2014). PMBP: PatchMatch Belief Propagation for correspondence field estimation. International Journal of Computer Vision. 110 2–13
Besse, F, Rother, C, Fitzgibbon, A and Kautz, J (2014). PMBP: PatchMatch Belief Propagation for correspondence field estimation. International Journal of Computer Vision. 110 2–13
Hamprecht, F A, Jost, D, Rüttimann, M, Calamai, F and Kowalski, J J (2001). Preliminary results on the prediction of countershock success with fibrillation power. Resuscitation. 50 297-299
Jäger, M and Hamprecht, F A (2008). Principal Component Imagery for the Quality Monitoring of Dynamic Laser Welding Processes. IEEE Transactions on Industrial Electronics. 56:4 1307-1313
Jähne, (2008). Prinzipien und Verfahren zur Aufnahme spektraler Bilddaten - Vereinfachte Bildanalyse. QZ. 53 45--48
Weber, S, Schüle, T and Schnörr, C (2005). Prior Learning and Convex-Concave Regularization of Binary Tomography. Electr. Notes in Discr. Math. 20 313-327
Geese, M, Ruhnau, P and Jähne, B (2013). PRNU and DSNU Maximum Likelihood Estimation Using Sensor Statistics. tm --- Technisches Messen. 80 321--328
Kolmogorov, V, Criminisi, A, Blake, A, Cross, G and Rother, C (2006). Probabilistic fusion of stereo with color and contrast for bilayer segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28 1480–1492. http://research.microsoft.com/vision/cambridge
Rathke, F, Schmidt, S and Schnörr, C (2014). Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization. Med. Image Anal. 18 781–794
Rathke, F, Schmidt, S and Schnörr, C (2014). Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization. Medical Image Analysis. 18 781-794
Rathke, F, Schmidt, S and Schnörr, C (2014). Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization. Medical Image Analysis. 18 781-794PDF icon Technical Report (4.07 MB)
Görlitz, L, Menze, B H, Kelm, B Michael and Hamprecht, F A (2009). Processing Spectral Data. Surface and Interface Analysis. 41 636-644PDF icon Technical Report (4.17 MB)
Distributions, L (2014). Proof of Lemma 2 Proof of Lemma 3 Proof of Theorem 4 Proof of Lemma 10. Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics. 9–11
Sieg, S, Stutz, B, Schmidt, T, Hamprecht, F A and Maier, W F (2006). A QCAR-approach to materials modelling. Journal of Molecular Modeling. 12 611-619PDF icon Technical Report (343.11 KB)
Lou, X, Fiaschi, L, Köthe, U and Hamprecht, F A (2012). Quality Classification of Microscopic Imagery with Weakly Supervised Learning. MICCAI-MLMI. Proceedings. 176-183PDF icon Technical Report (4.15 MB)
Leue, C, Wenig, M, Wagner, T, Klimm, O, Platt, U and Jähne, B (2001). Quantitative analysis of NO$_x$ emissions from Global Ozone Monitoring Experiment satellite image sequences. J. Geophys. Res. 106 5493--5505
Schmund, D, Stitt, M, Jähne, B and Schurr, U (1998). Quantitative analysis of the local rates of growth of dicot leaves at a high temporal and spatial resolution, using image sequence analysis. Plant Journal. 16 505--514
Leue, C, Wenig, M, Jähne, B and Platt, U (1998). Quantitative observation of biomass-burning plumes from GOME. ESA Publications EOQ. 58 33--35. http://esapub.esrin.esa.it/eoq/eoq58
Spies, H, Jähne, B and Barron, J L (2002). Range flow estimation.. Computer Vision and Image Understanding. 85 209--231
Schmidt, M, Jehle, M and Jähne, B (2008). Range flow estimation based on photonic mixing device data. Int. J. Intelligent Systems Technologies and Applications. 5 380--392
Lang, S and Ommer, B (2018). Reconstructing Histories: Analyzing Exhibition Photographs with Computational Methods. Arts, Computational Aesthetics. 7, 64PDF icon arts-07-00064.pdf (4.6 MB)
Lellmann, J and Schnörr, C (2011). Regularizers for Vector-Valued Data and Labeling Problems in Image Processing. Control Systems and Computers. 2 43–54
Bhowmik, A, Gumhold, S, Rother, C and Brachmann, E (2019). Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task. http://arxiv.org/abs/1912.00623
Wenig, M, Kuhl, S, Beirle, S, Bucsela, E, Jähne, B, Platt, U, Gleason, J and Wagner, T (2004). Retrieval and analysis of stratospheric NO$_2$ from the Global Ozone Monitoring Experiment. J. Geophys. Res. 109 D04315, 1--11
Álvarez, J M, Gevers, T, Diego, F and López, A M (2012). Road Geometry Classification by Adaptive Shape Models. IEEE Transactions on Intelligent Transportation Systems (ITS). 99 1-10

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