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R. Rocholz, Bildgebendes System zur simultanen Neigungs- und Höhenmessung an kleinskaligen Wind-Wasserwellen, University of Heidelberg, 2005.
R. Rocholz, Fahle, P., and Jähne, B., High speed and high resolution wave imaging to investigate the initial generation of wind waves at very small fetch. 2012.
R. Rocholz and Jähne, B., Spatio-temporal measurements of short wind water waves, in EGU General Assembly 2010, Symposium AS2.2, 2010, pp. EGU2010-5509.
R. Rocholz and Jähne, B., Imaging System for combined slope/height measurements of short wind waves : ISHG, in Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Heidelberg, 15.-17.03.2006, 2006.
R. Rocholz, Wanner, S., Schimpf, U., and Jähne, B., Combined visualization of wind waves and water surface temperature, in Gas Transfer at Water Surfaces 2010, 2011, p. 496--506.
R. Rocholz, Calibration of the 2010-CISG Setup at the Aeolotron, Institute of Environmental Physics, University of Heidelberg, 2010.
R. Rocholz, Spatiotemporal Measurement of Short Wind-Driven Water Waves. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2008.
K. Riemer, Analyse von Wasseroberflächenwellen im Orts-Wellenzahl-Raum. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1991.
K. Riemer, Scholz, T., and Jähne, B., Bildfolgenanalyse im Orts-Wellenzahl-Raum, in Proc. 13. DAGM-Symposium zur Mustererkennung 1991, München, 1991.
M. Riedl, Using Protein Identification Data to Improve Mass Spectrometry Feature Extraction, University of Heidelberg, 2010.
K. E. Richter, Ermittlung der Leckraten der WiSSCy-Messkampagne 2007 in Hamburg mittels UV-Spektroskopie, Institut für Umweltphysik, Universität Heidelberg, 2008.
K. E. Richter and Jähne, B., A laboratory study of the Schmidt number dependency of air-water gas transfer, in Gas Transfer at Water Surfaces 2010, 2011, p. 322--332.
K. E. Richter and Jähne, B., New schemes for fast measurements of air-sea gas exchange in the Aeolotron lab, in Poster abstracts SOLAS Open Science Conference, Barcelona, 16--19 Sep. 2009, 2009.
K. E. Richter, Rocholz, R., and Jähne, B., The Schmidt Number Dependency of Air-Sea Gas Exchange with Varying Surfactant Coverage, in SOLAS Open Science Conference, Washington State, USA, 2012.
D. L. Richmond, Kainmueller, D., Yang, M. Y., Myers, E. W., and Rother, C., Mapping auto-context decision forests to deep convnets for semantic segmentation, in British Machine Vision Conference 2016, BMVC 2016, 2016, vol. 2016-Septe, pp. 144.1–144.12.
D. L. Richmond, Kainmueller, D., Yang, M. Y., Myers, E. W., and Rother, C., Mapping auto-context decision forests to deep convnets for semantic segmentation, in British Machine Vision Conference 2016, BMVC 2016, 2016, vol. 2016-Septe, pp. 144.1–144.12.
D. L. Richmond, Kainmueller, D., Yang, M. Y., Myers, E. W., and Rother, C., Mapping auto-context decision forests to deep convnets for semantic segmentation, in British Machine Vision Conference 2016, BMVC 2016, 2016, vol. 2016-Septe, pp. 144.1–144.12.
D. Richmond, Kainmueller, D., Glocker, B., Rother, C., and Myers, G., Uncertainty-driven forest predictors for vertebra localization and segmentation, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9349. pp. 653–660, 2015.
C. Rhemann, Rother, C., and Gelautz, M., Improving color modeling for alpha matting, in BMVC 2008 - Proceedings of the British Machine Vision Conference 2008, 2008.
C. Rhemann, Rother, C., Kohli, P., and Gelautz, M., A spatially varying PSF-based prior for alpha matting, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010, pp. 2149–2156.
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.
C. Rhemann, Rother, C., Rav-Acha, A., and Sharp, T., High resolution matting via interactive trimap segmentation, in 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2008.
C. Rhemann, Rother, C., Rav-Acha, A., and Sharp, T., High resolution matting via interactive trimap segmentation, in 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2008.
C. Rhemann, Rother, C., Rav-Acha, A., and Sharp, T., High resolution matting via interactive trimap segmentation, in 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2008.
J. Restle, Optimierung der Wei\DFlichtinterferometrie für Applikationen der industriellen Qualitätskontrolle. University of Heidelberg, 2003.
J. Restle, Hissmann, M., and Hamprecht, F. A., Nonparametric Smoothing of Height maps using ``Confidence'' values, Optical Engineering, vol. 43, pp. 866-871, 2004.PDF icon Technical Report (1.07 MB)
J. Restle, Horizontal scannendes Wei\DFlicht-Interferometer. Robert Bosch GmbH, 2001.
F. Rennekamp, Datenbank gestützte Verwaltung kalibrierter Bildsequenzen zur Qualitätsbewertung von Algorithmen, Fakultät für Physik und Astronomie Universität Heidelberg, 1998.
A. Rennebaum, Entwicklung einer reflexionsbasierten Technik zur Messung statistischer Parameter von Windwellen auf der Wasseroberfläche im Labor und Feld, Institut für Umweltphysik, Universität Heidelberg, Germany, 2014.
A. Rennebaum, Spatio-Temporal Properties of the initial Wave Formation Phase at the Aeolotron, Institut für Umweltphysik, Universität Heidelberg, Germany, 2017.
B. Y. Renard, Robust Methods for the Proteomic Data Analysis Pipeline. University of Heidelberg, 2010.
B. Y. Renard, Xu, B., Kirchner, M., Zickmann, F., Winter, D., Korten, S., Brattig, N., Tzur, A., Hamprecht, F. A., and Steen, H., Overcoming species boundaries in peptide identification with BICEPS, Molecular and Cellular Proteomics, vol. 11, 2012.PDF icon Technical Report (444.6 KB)
B. Y. Renard, An Improved Method for Peak Identification in Proteomic Mass Spectrometry Data, University of Heidelberg, 2007.

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