HCI Logo
Heidelberg University Logo
IWR Logo

Publications

Export 177 results:
[ Author(Asc)] Title Type Year
Filters: First Letter Of Last Name is J  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
J
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.
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)
M. Jehle, “Applying Variable Selection to Illumination-Series Data using the Ilastik Tool”, Heidelberg Collaboratory for Image Processing, University of Heidelberg, 2011.
M. Jehle, Sommer, C., and Jähne, B., “Learning of optimal illumination for material classification”, in Pattern Recognition, 2010, vol. 6376, p. 563--572.
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, “HCI's Parabolic Lighting Facility - Design and Usage”, Heidelberg Collaboratory for Image Processing, University of Heidelberg, 2011.
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 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, 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.
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.
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. 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., “Learning convex QP relaxations for structured prediction”, in 30th International Conference on Machine Learning, ICML 2013, 2013, pp. 1952–1960.
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.
B. Jähne, Fischer, K. H., Ilmberger, J., Libner, P., Weiss, W., Imboden, D., Lemnin, U., and Jaquet, J. M., “Parameterization of air/lake gas exchange”, in Gas transfer at water surfaces, 1984, p. 469--476.
B. Jähne, Klar, M., and Jehle, M., “Data analysis”, Handbook of Experimental Fluid Mechanics. Springer, p. 1437--1491, 2007.
B. Jähne and Garbe, C. S., “Towards objective performance analysis for estimation of complex motion: analytic motion modeling, filter optimization, and test sequences”, in In Proceedings of IEEE International Conference on Image Processing, 2003.
B. Jähne, Garbe, C. S., Schimpf, U., and Schurr, U., “Thermographie in den Umwelt- und Biowissenschaften”, DGZfP-Berichtsband 77. Deutsche Gesellschaft für zerstörungsfreie Prüfung e.V., 2001.
B. Jähne and Geißler, P., “An imaging optical technique for bubble measurements”, in Proc. Sea Surface Sound '94, 1995, p. 290--296.
B. Jähne and Geißler, P., “Depth from focus with one image”, in Proc. Conference on Computer Vision and Pattern Recognition (CVPR '94), Seattle, 20.-23. June 1994, 1994, p. 713--717.
B. Jähne, Haußecker, H., Platt, U., Schurr, U., and Stitt, M., “The research unit (Forschergruppe) Image Sequence Processing to Study Dynamical Processes”, in Proc.\ 3D Image Analysis and Synthesis'97, Erlangen (Germany), November 17--18, 1997, 1997, p. 107--114.
B. Jähne and Haußecker, H., “Performance characteristics of low-level motion estimation in spatiotemporal images”, Performance Characterization in Computer Vision. Kluwer, Dordrecht, pp. pp. 139-152, 2000.
B. Jähne and Herrmann, H., “Softwarekonzepte und Algorithmen für die 3D-Bildverarbeitung”, in 4. ABW Workshop, TA Esslingen 22.--23.01.1997, 1997.
B. Jähne and Herrmann, H., “3D-Exploration mit einer sich bewegenden Kamera”, in Bildverarbeitung'97, Forschen, Entwickeln, Anwenden, 1997.
B. Jähne, Herrmann, H., Jähne, B., and Haußecker, H., “Multimedia architectures”, Handbook of Computer Vision and Applications, vol. 3: Systems and Applications. Academic Press, p. 31--52, 1999.
B. Jähne, Heinz, G., and Dietrich, W., “Measurement of the diffusion coefficients of sparingly soluble gases in water”, J. Geophys. Res., vol. 92, p. 10,767--10,776, 1987.
B. Jähne, Huber, W. A., Dutzi, A., Wais, T., and Ilmberger, J., “Wind/wave-tunnel experiments on the Schmidt number and wave field dependence of air-water gas exchange”, in Gas transfer at water surfaces, 1984, p. 303--309.

Pages