HCI Logo
Heidelberg University Logo
IWR Logo

Publications

Export 1965 results:
Author Title [ Type(Asc)] Year
Filters: Filter is   [Clear All Filters]
Masters Thesis
R. Rath, “Amplitudenmessung von Wasseroberflächenwellen mittels digitaler Bildanalyse”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1992.
B. Voss, “Alignment and Retention Time Correction of LC-MS Data in Proteomics”, University of Heidelberg, 2008.
P. Hanslovsky, “Advanced Cell Tacking-by-Assignment”, University of Heidelberg, 2013.
N. Hüsken, “Active and Online Learning for Interactive Image Analysis”, University of Heidelberg, 2010.
M. Klar, “3D Particle-Tracking Velocimetry applied to Turbulent Open-Channel Flow over a Gravel Layer”, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2001.
A. Horn, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2011.
D. Kimmich, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2011.
Journal Article
B. Jähne, “Zukunftsperspektiven der industriellen Bildverarbeitung - Was kann die akademische Forschung beitragen?”, Optik & Photonik, vol. 3, pp. 28-33, 2008.
E. - A. Horvát, Hanselmann, M., Hamprecht, F. A., and Zweig, K. A., “You Are Who Knows You: Predicting Links Between Non-Members of Facebook”, European Conference on Complex Systems. Proceedings, vol. 3, pp. 309-315, 2012.PDF icon Technical Report (1.92 MB)
B. Jähne, “When the invisible becomes visible”, German research, Magazine of the German Research Foundation (DFG), p. 30--33, 1999.
B. Y. Renard, Kirchner, M., Monigatti, F., Ivanov, A. R., Rappsilber, J., Winter, D., Steen, J. A. J., Hamprecht, F. A., and Steen, H., “When Less Can Yield More - Computational Preprocessing of MS/MS Spectra for Peptide Identification Preprocessing”, Proteomics, vol. 9, pp. 4978-4984, 2009.PDF icon Technical Report (901.78 KB)
P. Márquez-Valle, Gil, D., Hernàndez-Sabaté, A., and Kondermann, D., “When is a confidence measure good enough?”, submitted to CVPR 2013, 2013.
S. Meister, Izadi, S., Kohli, P., and M Hämmerle, M. \, “When can we use KinectFusion for ground truth acquisition?”, Proc Workshop on \ldots, pp. 3–8, 2012.
B. Jähne, Köhler, H. - J., Rath, R., and Wierzimok, D., “Wellenamplitudenmessungen mittels videometrischer Bildverarbeitung”, Mitteilungsblatt der Bundesanstalt für Wasserbau, vol. 70, p. 27--62, 1993.
M. Jäger, Knoll, C., and Hamprecht, F. A., “Weakly Supervised Learning of a Classifier for Unusual Event Detection”, IEEE Transactions on Image Processing, vol. 17, pp. 1700-1708, 2008.PDF icon Technical Report (295.32 KB)
D. Kiefhaber, Caulliez, G., Zappa, C. J., Schaper, J., and Jähne, B., “Water wave measurement from stereo images of specular reflections”, vol. 26, p. 115401, 2015.
F. A. Hamprecht and Jähne, B., “Vom Bild zur Information”, Ruperto Carola -- Forschungsmagazin der Universität Heidelberg, vol. 03.2004, pp. 9-12, 2004.
Q. Garrido, Damrich, S., Jäger, A., Cerletti, D., Claassen, M., Najman, L., and Hamprecht, F. A., “Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder”, Bioinformatics, vol. 38 (Suppl 1), pp. i316-i324, 2022.
M. Pfannmöller, Flügge, H., Benner, G., Wacker, I., Sommer, C., Hanselmann, M., Schmale, S., Schmidt, H., Hamprecht, F. A., Rabe, T., Kowalsky, W., and Schröder, R., “Visualizing a homogeneous blend in bulk heterojunction polymer solar cells by analytical electron microscopy”, Nano Letters, vol. 11, pp. 3099-3107, 2011.
N. Gianniotis and Tiño, P., “Visualization of Structured Data via Generative Probabilistic Modeling”, Pattern Recognition, vol. 5400, pp. 118-137, 2009.
J. Kleesiek, Petersen, J., Döring, M., Maier-Hein, K., Köthe, U., Wick, W., Hamprecht, F. A., Bendszus, M., and Biller, A., “Virtual Raters for Reproducible and Objective Assessments in Radiology”, Nature Scientific Reports, vol. 6, 2016.PDF icon Technical Report (2.81 MB)
F. Becker, Lenzen, F., Kappes, J. H., and Schnörr, C., “Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences”, International Journal of Computer Vision, vol. 105, pp. 269–297, 2013.
F. Becker, Lenzen, F., Kappes, J. H., and Schnörr, C., “Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences”, International Journal of Computer Vision, vol. 105 (3), pp. 269-297, 2013.
F. Becker, Lenzen, F., Kappes, J. H., and Schnörr, C., “Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences”, International Journal of Computer Vision, vol. 105, no. 3, p. 269--297, 2013.PDF icon Technical Report (15.4 MB)
P. Ruhnau, Kohlberger, T., Nobach, H., and Schnörr, C., “Variational Optical Flow Estimation for Particle Image Velocimetry”, Experiments in Fluids, vol. 38, p. 21--32, 2005.PDF icon Technical Report (1.21 MB)
P. Ruhnau, Kohlberger, T., Nobach, H., and Schnörr, C., “Variational Optical Flow Estimation for Particle Image Velocimetry”, Experiments in Fluids, vol. 38, pp. 21–32, 2005.
J. Weickert and Schnörr, C., “Variational Optic Flow Computation with a Spatio-Temporal Smoothness Constraint”, J. Math. Imaging and Vision, vol. 14, pp. 245–255, 2001.
A. Bruhn, Weickert, J., Feddern, C., Kohlberger, T., and Schnörr, C., “Variational optic flow computation in real-time”, IEEE Trans. Image Proc., vol. 14, pp. 608–615, 2005.
S. Wanner and Goldlücke, B., “Variational light field analysis for disparity estimation and super-resolution”, IEEE Trans. Pattern Analysis Machine Intelligence, vol. 36, p. 606--619, 2014.
D. Heitz, Mémin, E., and Schnörr, C., “Variational fluid flow measurements from image sequences: synopsis and perspectives”, Exp. Fluids, vol. 48, pp. 369-393, 2010.
D. Heitz, Mémin, E., and Schnörr, C., “Variational fluid flow measurements from image sequences: synopsis and perspectives”, Exp.~Fluids, vol. 48, pp. 369-393, 2010.PDF icon Technical Report (1.91 MB)
P. Ruhnau, Stahl, A., and Schnörr, C., “Variational Estimation of Experimental Fluid Flows with Physics-Based Spatio-Temporal Regularization”, Measurement Science and Technology, vol. 18, pp. 755-763, 2007.PDF icon Technical Report (842.06 KB)
P. Ruhnau, Stahl, A., and Schnörr, C., “Variational Estimation of Experimental Fluid Flows with Physics-Based Spatio-Temporal Regularization”, Measurement Science and Technology, vol. 18, pp. 755-763, 2007.
C. Schnörr, Sprengel, R., and Neumann, B., “A Variational Approach to the Design of Early Vision Algorithms”, Computing Suppl., vol. 11, pp. 149-165, 1996.
P. Ruhnau, Gütter, C., Putze, T., and Schnörr, C., “A variational approach for particle tracking velocimetry”, Meas. Science and Techn., vol. 16, pp. 1449-1458, 2005.

Pages