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2008
M. Enzweiler and Gavrila, D. M., “A Mixed Generative-Discriminative Framework for Pedestrian Classification”, in Proc. Int. Conf. Comp. Vision and Patt. Recog. (CVPR), 2008.
M. Enzweiler and Gavrila, D. M., “Monocular Pedestrian Detection: Survey and Experiments”, IEEE Transactions on Pattern Analysis and Machine Intelligence, available online: IEEE Computer Society Digital Library, http://doi.ieeecomputersociety.org/10.1109/TPAMI.2008.260, 2008.
M. Enzweiler, Kanter, P., and Gavrila, D. M., “Monocular Pedestrian Recognition Using Motion Parallax”, in Proc. IEEE Symposium on Intelligent Vehicles, 2008, pp. 792-797.
D. Kondermann, Kondermann, C., Berthe, A., Kertzscher, U., and Garbe, C. S., “Motion Estimation Based on a Temporal Model of Fluid Flows”, in 13th International Symposium on Flow Visualization, 2008, pp. 1-10.
C. S. Garbe, Krajsek, K., Pavlov, P., Andres, B., Mühlich, M., Stuke, I., Mota, C., Böhme, M., Haker, M., Schuchert, T., Scharr, H., Aach, T., and Barth, E., “Nonlinear Analysis of Multi-Dimensional Signals”, Mathematical Methods in Signal Processing and Digital Image Analysis. Springer, pp. 231-288, 2008.PDF icon Technical Report (7.11 MB)
C. S. Garbe, Krajsek, K., Pavlov, P., Andres, B., Mühlich, M., Stuke, I., Mota, C., Böhme, M., Haker, M., Schucher, T., Scharr, H., Aach, T., and Barth, E., “Nonlinear analysis of multi-dimensional signals: local adaptive estimation of complex motion and orientation patterns”, Mathematical Methods in Time Series Analysis and Digital Image Processing. Springer, pp. 231-288, 2008.
M. Griessinger, “Oject Detection with Generic Features: An Application to STED Microscopy”, University of Heidelberg, 2008.
C. S. Garbe, Roetmann, K., Beushausen, V., and Jähne, B., “An optical flow MTV based technique for measuring microfluidic flow in the presence of diffusion and Taylor dispersion”, Exp. Fluids, vol. 44, p. 439--450, 2008.
S. Munder, Schnörr, C., and Gavrila, D. M., “Pedestrian Detection and Tracking Using a Mixture of View-Based Shape-Texture Models”, IEEE Trans. Intell. Transp. Systems, vol. 9, pp. 333-343, 2008.
T. Geiler, “Polarisationsbildgebung in der industriellen Qualitätskontrolle”. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2008.
C. Kondermann, Kondermann, D., and Garbe, C. S., “Postprocessing of optical flows via surface measures and motion inpainting”, in Pattern Recognition, 2008, vol. 5096, p. 355--364.
O. Friedrich, Weber, C., Both, M., von Wegner, F., Chamberlain, J. S., Garbe, C. S., and Fink, R. H. A., “Sarcomere Structure and Motor-Protein Function in an Animal Model of Duchenne Muscular Dystrophy (mdx mouse)”, in 87th Annual Meeting of the German Physiological Society, 2008.
C. Kondermann, Mester, R., and Garbe, C. S., “A statistical confidence measure for optical flows”, in Proceedings of the ECCV, 2008, vol. 5304, p. 290--301.
C. Gosch, Fundana, K., Heyden, A., and Schnörr, C., “View Point Tracking of Rigid Object Based on Shape Sub-Manifolds”, in Computer Vision -- ECCV 2008, 2008, vol. 5302, p. 251--263.PDF icon Technical Report (523.17 KB)
C. Gosch, Fundana, K., Heyden, A., and Schnörr, C., “View Point Tracking of Rigid Object Based on Shape Sub-Manifolds”, in Computer Vision – ECCV 2008, 2008, vol. 5302, pp. 251–263.
2009
V. Beushausen, Roetmann, K., Schmunk, W., Wellhausen, M., Garbe, C. S., and Jähne, B., “2D-measurement technique for simultaneous quantitative determination of mixing ratio and velocity field in microfluidic applications”, Imaging Measurement Methods for Flow Analysis, Results of the DFG Priority Programme 1147 Imaging Measurement Methods for Flow Analysis 2003-2009, vol. 106. Springer, p. 155--164, 2009.
L. Görlitz, Hamprecht, F. A., and Staudacher, M., “Allocation of particles to development processes”, Patent, 2009.PDF icon Technical Report (406.7 KB)
C. Gosch, “Contour Methods for View Point Tracking”. University of Heidelberg, 2009.
C. Thieke, Nix, O., Koehn, A., Floca, R., van Straaten, D., Hahn, H., Strauss, L. G., Siems, U., Graf, M., Pruem, H., Klein, J., Laue, H., and Kaster, F. O., “A framework and multi-application prototype for integrated radiological diagnostics and radiation therapy”, Strahlentherapie und Onkologie, vol. 185, p. 81, 2009.
C. Rhemann, Rother, C., Wang, J., Gelautz, M., Kohli, P., and Rott, P., “A perceptually motivated online benchmark for image matting”, in 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, 2009, vol. 2009 IEEE, pp. 1826–1833.
C. Rhemann, Rother, C., Wang, J., Gelautz, M., Kohli, P., and Rott, P., “A perceptually motivated online benchmark for image matting”, in 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, 2009, vol. 2009 IEEE, pp. 1826–1833.
C. Rhemann, Rother, C., Wang, J., Gelautz, M., Kohli, P., and Rott, P., “A perceptually motivated online benchmark for image matting”, in 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, 2009, vol. 2009 IEEE, pp. 1826–1833.
L. Görlitz, Menze, B. H., Kelm, B. Michael, and Hamprecht, F. A., “Processing Spectral Data”, Surface and Interface Analysis, vol. 41, pp. 636-644, 2009.PDF icon Technical Report (4.17 MB)
A. Grützmann, “Reconstruction of Moving Surfaces of Revolution from Sparse 3-D Measurements using a Stereo Camera and Structured Light”. IWR, Fakultät für Mathematik und Informatik, Univ.\ Heidelberg, 2009.
M. Staudacher, Hamprecht, F. A., and Görlitz, L., “Self Adjustment of Scanning Electron Microscopes / Selbstadaptivität von Rasterelektronenmikroskopen”, Patent, Patent Number WO2009062781A1, 2009.PDF icon Technical Report (46.64 KB)
J. Greis, “Semi-automatic analysis of high-information-content neurobiological image data”, University of Heidelberg, 2009.
C. S. Garbe, Kondermann, D., Jehle, M., and Jähne, B., “Spatiotemporal image analysis for flow measurements”, Imaging Measurement Methods for Flow Analysis, Results of the DFG Priority Programme 1147 Imaging Measurement Methods for Flow Analysis 2003-2009, vol. 106. Springer, p. 289--305, 2009.
M. Bleyer, Gelautz, M., Rother, C., and Rhemann, C., “A stereo approach that handles the matting problem via imagewarping”, in 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, 2009, vol. 2009 IEEE, pp. 501–508.
C. S. Garbe, Nagel, L., Hung, L. - P., and Tsai, W. - T., “Thermographic measurements of the temperature difference across the air- water interface: results from experimental and numerical studies”, in Poster abstracts SOLAS Open Science Conference, Barcelona, 16--19 Sep. 2009, 2009.
N. Gianniotis, Tiño, P., Spreckley, S., and Raychaudhury, S., “Topographic Mapping of Astronomical Light Curves via a Physically Inspired Probabilistic Model”, in Proceedings of ICANN 2009, 2009, pp. 567-576.
M. Hanselmann, Köthe, U., Kirchner, M., Renard, B. Y., Amstalden, E. R., Glunde, K., Heeren, R. M. A., and Hamprecht, F. A., “Towards Digital Staining using Imaging Mass Spectrometry and Random Forests”, Journal of Proteome Research, vol. 8, pp. 3558-3567, 2009.PDF icon Technical Report (1.47 MB)
C. S. Garbe, Flatow, F., Klinger, M., Schepanski, K., Tegen, I., and Rannacher, R., “Transport of dust across the Sahara from satellite image sequence analysis”, in Eos Transactions, 2009, vol. 90, no. 52, p. EP21A-0565.
C. S. Garbe, Flatow, F., Klinger, M., Schepanski, K., Tegen, I., and Rannacher, R., “Transport of Sahara dust into the Atlantic Ocean from satellite image sequence analysis”, in SOLAS Open Science Conference, 2009, p. 27.
N. Gianniotis and Tiño, P., “Visualization of Structured Data via Generative Probabilistic Modeling”, Pattern Recognition, vol. 5400, pp. 118-137, 2009.
2010
X. Lou, Kirchner, M., Renard, B. Y., Köthe, U., Graf, C., Lee, C., Steen, J. A. J., Steen, H., Mayer, M. P., and Hamprecht, F. A., “Deuteration Distribution Estimation with Improved Sequence Coverage for HX/MS Experiments”, Bioinformatics, vol. 26(12), pp. 1535-1541, 2010.PDF icon Technical Report (518.01 KB)

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