Publications

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B. Jähne and Riemer, K., Two-dimensional wave number spectra of small-scale water surface waves, J. Geophys. Res., vol. 95, p. 11531--11646, 1990.
B. Jähne, Scharr, H., Körkel, S., Jähne, B., Haußecker, H., and Geißler, P., Principles of Filter Design, Handbook of Computer Vision and Applications, vol. 2. Academic Press, p. 125--151, 1999.
B. Jähne, Schimpf, U., Popp, C., and Garbe, C. S., Exchange processes at the ocean surface: their role in coupling atmosphere and ocean, a contribution to the SOLAS project, in Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Munich, 22.-26.03.2004, 2004.
B. Jähne, Schimpf, U., Garbe, C. S., and Degreif, K., The Heidelberg Aeolotron: new perspectives for laboratory investigations of small-scale air-sea interaction, in Poster presented at: International Liege Colloquium on Ocean Dynamics, Gas Transfer at Water Surfaces, 2005.
B. Jähne, Schmidt, M., and Rocholz, R., Combined optical slope/height measurements of short wind waves: principles and calibration, Meas. Sci. Technol., vol. 16, p. 1937--1944, 2005.
B. Jähne and Schultz, H., Calibration and accuracy of optical slope measurements for short wind waves, in Optics of the Air-Sea Interface: Theory and Measurements, 1992, vol. 1749, p. 222--233.
B. Jähne and Siegenthaler, U., The influence of surface tension on gas exchange: measurements of gas exchange with alcohol/water mixtures in a circular wind-water tunnel, Berichte aus dem Sonderforschungsbereich 94 Meeresforschung - Symposium on Capillary Waves and Gas Exchange, Trier July 2--6, 1979. Univ. Hamburg, p. 103--108, 1980.
B. Jähne and Jähne, B., Optical measuring technique for small scale water surface waves, in Advanced Optical Instrumentation for Remote Sensing of the Earth's Surface from Space, SPIE Proceeding 1129, International Congress on Optical Science and Engineering, Paris, 24-28 April 1989, 1989, p. 147--152.
B. Jähne, Waas, S., and Klinke, J., A critical theoretical review of optical techniques for short ocean wave measurements, in Optics of the Air-Sea Interface: Theory and Measurements, 1992, vol. 1749, p. 204--215.
B. Jähne, Waas, S., and Klinke, J., Shape from shading techniques for short ocean wind waves, in Imaging in Transport Processes, 1993, p. 269--281.
B. Jähne, Wais, T., and Barabas, M., A new optical bubble measuring device; a simple model for bubble contribution to gas exchange, in Gas transfer at water surfaces, 1984, p. 237--246.
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, Haußecker, H., Hering, F., Balschbach, G., Klinke, J., Lell, M., Schmund, D., Schultz, M., Schurr, U., Stitt, M., and Platt, U., The role of active vision in exploring growth, transport, and exchange processes, in Aktives Sehen in technischen und biologischen Systemen, Workshop der GI-Fachgruppe 1.0.4. Bildverstehen Hamburg, 3--4. December 1996, 1996, vol. 4, p. 194--202.
J. Jancsary, Nowozin, S., and Rother, C., Loss-specific training of non-parametric image restoration models: A new state of the art, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, vol. 7578 LNCS, pp. 112–125.
J. Jancsary, Nowozin, S., and Rother, C., Loss-specific training of non-parametric image restoration models: A new state of the art, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, vol. 7578 LNCS, pp. 112–125.
J. Jancsary, Nowozin, S., and Rother, C., Non-parametric crfs for image labeling, in NIPS Workshop Modern Nonparametric Methods in Machine Learning, 2012, pp. 1–5.
J. Jancsary, Nowozin, S., Sharp, T., and Rother, C., Regression Tree Fields An efficient, non-parametric approach to image labeling problems, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2012, pp. 2376–2383.
J. Jancsary, Nowozin, S., Sharp, T., and Rother, C., Regression Tree Fields An efficient, non-parametric approach to image labeling problems, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2012, pp. 2376–2383.
J. Jancsary, Nowozin, S., and Rother, C., Learning convex QP relaxations for structured prediction, in 30th International Conference on Machine Learning, ICML 2013, 2013, pp. 1952–1960.
J. A. M. Janssen, Calkoen, C. J., van Halsema, D., Jähne, B., Janssen, P. A. E. M., Oost, W. A., Snoeij, P., Vogelzang, J., and Wallbrink, H., The VIERS scatterometer algorithm, in Proc. The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993, 1993, p. 749--754.
J. A. M. Janssen, Calkoen, C. J., van Halsema, D., Jähne, B., Janssen, P. A. E. M., Oost, W. A., Snoeij, P., Vogelzang, J., and Wallbrink, H., The VIERS scatterometer algorithm, in Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993, 1996, p. 749--754.
M. Jehle, Spatio-temporal analysis of flows close to water surfaces. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2006.
M. Jehle and Jähne, B., A novel method for three-dimensional three-component analysis of flow close to free water surfaces, Exp. Fluids, vol. 44, p. 469--480, 2008.
M. Jehle and Jähne, B., Eine neuartige Methode zur raumzeitlichen Analyse von Strömungen in Grenzschichten, in Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Heidelberg, 15.-17.03.2006, 2006.
M. Jehle and Jähne, B., A novel method for spatio-temporal analysis of flows within the water-side viscous boundary layer, in 12th Intern. Symp. on Flow Visualization, Göttingen, 10--14. September 2006, 2006.
M. Jehle, Jähne, B., and Kertzscher, U., Direct estimation of the wall shear rate using parametric motion models in 3D, in Proceedings of the 28th DAGM Symposium on Pattern Recognition, 2006, vol. 4174, p. 434--443.
M. Jehle, Klar, M., Köhler, H. - J., and Heibaum, M., Bewegungsdetektion und Geschwindigkeitsanalyse in Bildfolgen zur Untersuchung von Sedimentverlagerungen, in Mitteilungen des Instituts für Grundbau und Bodenmechanik, 2004, vol. 77, pp. 371-392.
M. Jehle, Sommer, C., and Jähne, B., Learning of Optimal Illumination for Material Classification, in Proceedings of the 32nd DAGM Symposium on Pattern Recognition, Darmstadt, Germany, 2010, pp. 563-572.
M. Jehle and Jähne, B., Optimal Lighting for Defect Detection: Illumination Systems, Machine Learning, and Practical Verification, in Forum Bildverarbeitung, Regensburg, 02.-03.12.2010, 2010, pp. 301-312.
M. Jehle, Applying Variable Selection to Illumination-Series Data using the Ilastik Tool, Heidelberg Collaboratory for Image Processing, University of Heidelberg, 2011.
M. Jehle, HCI's Parabolic Lighting Facility - Design and Usage, Heidelberg Collaboratory for Image Processing, University of Heidelberg, 2011.
M. Jehle and Jähne, B., Optimal lighting for defect detection: illumination systems, machine learning, and practical verification, in Forum Bildverarbeitung, 2010, p. 241--252.
M. Jehle, Sommer, C., and Jähne, B., Learning of optimal illumination for material classification, in Pattern Recognition, 2010, vol. 6376, p. 563--572.
E. Jenner, Fita, E., and Hamprecht, F. A., Extensions of Karger's Algorithm: Why They Fail in Theory and How They Are Useful in Practice, ICCV. Proceedings. pp. 4602-4611, 2021.PDF icon Technical Report (1.1 MB)
F. Jug, Pietzsch, T., Kainmüller, D., Funke, J., Kaiser, M., van Nimwegen, E., Rother, C., and Myers, G., 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), vol. 8677, pp. 25–36, 2014.

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