Publications

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Jug, F, Pietzsch, T, Kainmüller, D, Funke, J, Kaiser, M, van Nimwegen, E, Rother, C and Myers, G (2014). Optimal joint segmentation and tracking of escherichia coli in the mother machine. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8677 25–36
Jenner, E, Fita, E and Hamprecht, F A (2021). Extensions of Karger's Algorithm: Why They Fail in Theory and How They Are Useful in Practice. ICCV. Proceedings. 4602-4611PDF icon Technical Report (1.1 MB)
Jehle, M (2011). Applying Variable Selection To Illumination-Series Data Using The Ilastik Tool. Heidelberg Collaboratory for Image Processing, University of Heidelberg
Jehle, M, Sommer, C and Jähne, B (2010). Learning of optimal illumination for material classification. Pattern Recognition. Springer. 6376 563--572
Jehle, M and Jähne, B (2010). Optimal lighting for defect detection: illumination systems, machine learning, and practical verification. Forum Bildverarbeitung. KIT Scientific Publishing. 241--252. http://digbib.ubka.uni-karlsruhe.de/volltexte/1000020266
Jehle, M (2011). Hci's Parabolic Lighting Facility - Design And Usage. Heidelberg Collaboratory for Image Processing, University of Heidelberg
Jehle, M (2006). Spatio-temporal analysis of flows close to water surfaces. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg. http://www.ub.uni-heidelberg.de/archiv/7060/
Jehle, M and Jähne, B (2008). A novel method for three-dimensional three-component analysis of flow close to free water surfaces. Exp. Fluids. 44 469--480
Jehle, M and Jähne, B (2006). Eine neuartige Methode zur raumzeitlichen Analyse von Strömungen in Grenzschichten. Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Heidelberg, 15.-17.03.2006. Deutsche Physikalische Gesellschaft. http://www.dpg-verhandlungen.de/2006/heidelberg/up.html
Jehle, M and Jähne, B (2006). A novel method for spatio-temporal analysis of flows within the water-side viscous boundary layer. 12th Intern. Symp. on Flow Visualization, Göttingen, 10--14. September 2006
Jehle, M, Jähne, B and Kertzscher, U (2006). Direct estimation of the wall shear rate using parametric motion models in 3D. Proceedings of the 28th DAGM Symposium on Pattern Recognition. 4174 434--443
Jehle, M, Klar, M, Köhler, H - J and Heibaum, M (2004). Bewegungsdetektion und Geschwindigkeitsanalyse in Bildfolgen zur Untersuchung von Sedimentverlagerungen. Mitteilungen des Instituts für Grundbau und Bodenmechanik. 77 371-392
Jehle, M and Jähne, B (2010). Optimal Lighting for Defect Detection: Illumination Systems, Machine Learning, and Practical Verification. Forum Bildverarbeitung, Regensburg, 02.-03.12.2010. KIT SCientific Publishing. 301-312
Jehle, M, Sommer, C and Jähne, B (2010). Learning of Optimal Illumination for Material Classification. Proceedings of the 32nd DAGM Symposium on Pattern Recognition, Darmstadt, Germany. Springer. 563-572
Janssen, J A M, Calkoen, C J, van Halsema, D, Jähne, B, Janssen, P A E M, Oost, W A, Snoeij, P, Vogelzang, J and Wallbrink, H (1996). The VIERS scatterometer algorithm. Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993. RSMAS, University of Miami. 749--754
Janssen, J A M, Calkoen, C J, van Halsema, D, Jähne, B, Janssen, P A E M, Oost, W A, Snoeij, P, Vogelzang, J and Wallbrink, H (1993). The VIERS scatterometer algorithm. Proc. The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993. University of Miami. 749--754
Jancsary, J, Nowozin, S and Rother, C (2012). Loss-specific training of non-parametric image restoration models: A new state of the art. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7578 LNCS 112–125
Jancsary, J, Nowozin, S and Rother, C (2013). Learning convex QP relaxations for structured prediction. 30th International Conference on Machine Learning, ICML 2013. 1952–1960
Jancsary, J, Nowozin, S and Rother, C (2012). Loss-specific training of non-parametric image restoration models: A new state of the art. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7578 LNCS 112–125
Jancsary, J, Nowozin, S and Rother, C (2012). Non-parametric crfs for image labeling. NIPS Workshop Modern Nonparametric Methods in Machine Learning. 1–5. http://www.nowozin.net/sebastian/papers/jancsary2012nonparametriccrf.pdf
Jancsary, J, Nowozin, S, Sharp, T and Rother, C (2012). Regression Tree Fields An efficient, non-parametric approach to image labeling problems. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2376–2383
Jancsary, J, Nowozin, S, Sharp, T and Rother, C (2012). Regression Tree Fields An efficient, non-parametric approach to image labeling problems. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2376–2383
Jähne, B, Fischer, K H, Ilmberger, J, Libner, P, Weiss, W, Imboden, D, Lemnin, U and Jaquet, J M (1984). Parameterization of air/lake gas exchange. Gas transfer at water surfaces. Reidel. 469--476
Jähne, B, Klar, M and Jehle, M (2007). Data analysis. Handbook of Experimental Fluid Mechanics. Springer. 1437--1491
Jähne, B and Garbe, C S (2003). Towards objective performance analysis for estimation of complex motion: analytic motion modeling, filter optimization, and test sequences. In Proceedings of IEEE International Conference on Image Processing. ./pdf/2003/barth_ICIP2003.pdf:PDF
Jähne, B, Garbe, C S, Schimpf, U and Schurr, U (2001). Thermographie in den Umwelt- und Biowissenschaften. DGZfP-Berichtsband 77. Deutsche Gesellschaft für zerstörungsfreie Prüfung e.V.
Jähne, B and Geißler, P (1995). An imaging optical technique for bubble measurements. Proc. Sea Surface Sound '94. World Scientific. 290--296
Jähne, B and Geißler, P (1994). Depth from focus with one image. Proc. Conference on Computer Vision and Pattern Recognition (CVPR '94), Seattle, 20.-23. June 1994. 713--717
Jähne, B, Haußecker, H, Platt, U, Schurr, U and Stitt, M (1997). The research unit (Forschergruppe) Image Sequence Processing to Study Dynamical Processes. Proc.\ 3D Image Analysis and Synthesis'97, Erlangen (Germany), November 17--18, 1997. infix. 107--114
Jähne, B and Haußecker, H (2000). Performance characteristics of low-level motion estimation in spatiotemporal images. Performance Characterization in Computer Vision. Kluwer, Dordrecht. pp. 139-152
Jähne, B and Herrmann, H (1997). Softwarekonzepte und Algorithmen für die 3D-Bildverarbeitung. 4. ABW Workshop, TA Esslingen 22.--23.01.1997
Jähne, B and Herrmann, H (1997). 3D-Exploration mit einer sich bewegenden Kamera. Bildverarbeitung'97, Forschen, Entwickeln, Anwenden. Technische Akademie Esslingen
Jähne, B, Herrmann, H, Jähne, B and Haußecker, H (1999). Multimedia architectures. Handbook of Computer Vision and Applications. Academic Press. 3: Systems and Applications 31--52
Jähne, B, Heinz, G and Dietrich, W (1987). Measurement of the diffusion coefficients of sparingly soluble gases in water. J. Geophys. Res. 92 10,767--10,776
Jähne, B, Huber, W A, Dutzi, A, Wais, T and Ilmberger, J (1984). Wind/wave-tunnel experiments on the Schmidt number and wave field dependence of air-water gas exchange. Gas transfer at water surfaces. Reidel. 303--309

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