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D. Wierzimok, “Messung turbulenter Strömungen unterhalb der windwellenbewegten Wasseroberfläche mittels digitaler Bildverarbeitung”. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1990.

D. Wierzimok and Hering, F., “Quantitative imaging of transport in fluids with digital particle tracking velocimetry”, in Imaging in Transport Processes, 1993, p. 297--308.

D. Wierzimok, Hering, F., and Brunswig, F., “Tracking in Strömungsbildfolgen”, in Proc. 14. DAGM-Symposium Mustererkennung, 1992.

D. Wierzimok and Jähne, B., “Measurement of wave-induced turbulent flow structure using digital image sequence analysis”, in Air-Water Mass Transfer, selected papers from the 2nd International Symposium on Gas Transfer at Water Surfaces, September 11--14, 1990, Minneapolis, Minnesota, 1991, p. 200--209.

D. Wierzimok and Jähne, B., “Automatic particle tracking beneath a wind-stressed wavy water surface with image processing”, in Proc.\ 5th Int. Symposium Flow Visualization, Praque 1989, 1990, p. 943--956.

D. Wierzimok and Jähne, B., “Automatic particle tracking velocimetry beneath a wind-stressed wavy water surface with image processing”, in 5th International Symposium on Flow Visualization, 1989.

D. Wierzimok, Jähne, B., and Dengler, J., “Bildfolgenanalyse dreidimensionaler turbulenter Strömungen”, in Proc. 9. DAGM-Symposium zur Mustererkennung 1987, 1987, vol. 149, p. 288.

M. Wieler, “Multiple Instance Learning with Random Forests and Applications in Industrial Optical Inspection”. University of Heidelberg, 2014.

M. Wieler, “Single tone frequency estimation from very few sampling points”, University of Heidelberg, 2006.

K. Wiehler, Heers, J., Schnörr, C., Stiehl, H. –S., and Grigat, R. –R., “A 1D analog VLSI implementation for non-linear real-time signal preprocessing”, Real–Time Imaging, vol. 7, pp. 127–142, 2001.

K. Wiehler, Grigat, R. –R., Heers, J., Schnörr, C., and Stiehl, H. –S., “Real–Time Adaptive Smoothing with a 1D Nonlinear Relaxation Network in Analogue VLSI Technology”, in Mustererkennung 1998, Heidelberg, 1998.

K. Wiehler, Grigat, R. –R., Heers, J., Schnörr, C., and Stiehl, H. S., “Dynamic Circular Cellular Networks for Adaptive Smoothing of Multi–Dimensional Signals”, in Proc. 5th IEEE Int. Workshop on Cellular Neural Networks and their Applications, London, 1998.

M. Wenig, Leue, C., Kraus, S., Wagner, T., Platt, U., and Jähne, B., “Image sequence analysis of satellite NO$_2$ concnetration maps”, in Pattern Recognition, 23rd DAGM Symposium Munich, 2001, vol. 2191, p. 223--230.

M. Wenig, “GOME-Spurenstoffauswertung und Bildverarbeitung”. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2001.

M. Wenig, “Wolkenklassifizierung mittels Bildsequenzanalyse auf GOME-Satellitendaten”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1998.

M. Wenig, Jähne, B., and Platt, U., “Operator representation as a new differential optical absorption spectroscopy formalism”, Appl. Optics, vol. 44, pp. 3246-3253, 2005.

M. Wenig, Kuhl, S., Beirle, S., Bucsela, E., Jähne, B., Platt, U., Gleason, J., and Wagner, T., “Retrieval and analysis of stratospheric NO$_2$ from the Global Ozone Monitoring Experiment”, J. Geophys. Res., vol. 109, p. D04315, 1--11, 2004.

M. Wenig, Leue, C., Platt, U., Jähne, B., and Haußecker, H., “Cloud classification analyzing image sequences”, Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press, p. 652--653, 2000.

M. Wenig, Spichtinger, N., Stohl, A., Held, G., Beirle, S., Wagner, T., Jähne, B., and Platt, U., “Intercontinental transport of nitrogen oxide pollution plumes”, Atmos. Chem. Phys., vol. 3, p. 387--393, 2003.

M. Wenig, Spichtinger, N., Stohl, A., Held, G., Beirle, S., Wagner, T., Jähne, B., and Platt, U., “Intercontinental transport of nitrogen oxide pollution plumes”, acpd, vol. 3, p. 2151--2165, 2002.

M. Welk, Weickert, J., Becker, F., Schnörr, C., Feddern, C., and Burgeth, B., “Median and related local filters for tensor-valued images”, Signal Processing, vol. 87, pp. 291-308, 2007.

Technical Report (1007.29 KB)

M. Welk, Weickert, J., Becker, F., Schnörr, C., Feddern, C., and Burgeth, B., “Median and related local filters for tensor-valued images”, Signal Processing, vol. 87, pp. 291-308, 2007.

M. Welk, Becker, F., Schnörr, C., and Weickert, J., “Matrix-Valued Filters as Convex Programs”, in Scale-Space 2005, 2005, vol. 3459, pp. 204–216.

J. Welbl, “Casting Random Forests as Artificial Neural Networks (and Profiting from It)”, in GCPR. Proceedings, 2014, pp. 765-771.

Technical Report (376.24 KB)

H. Weiss, “Modulation von Windwellen”, Universität Heidelberg, 1997.

F. Weißer, “Verdunstungsmessungen in einem ringförmigen Wind-Wasser-Kanal mit Hilfe von Psychochrometern und einem WLD-System”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1980.

T. Weißbach, “Bestimmung der Transfergeschwindigkeit bei blaseninduziertem Gasaustausch”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2011.

M. Weiler, “Learning Steerable Filters for Rotation Equivariant Convolutional Neural Networks”, Heidelberg University, 2017.

M. Weiler, Hamprecht, F. A., and Storath, M., “Learning Steerable Filters for Rotation Equivariant CNNs”, CVPR. Proceedings. pp. 849-858, 2018.

Technical Report (1.35 MB)

C. Weilbach, “Dictionary Learning with Bayesian GANs for Few-Shot Classification”, Heidelberg University, 2018.

J. Weickert and Schnörr, C., “PDE–Based Preprocessing of Medical Images”, Künstliche Intelligenz, vol. 3, pp. 5–10, 2000.

J. Weickert and Schnörr, C., “A Theoretical Framework for Convex Regularizers in PDE–Based Computation of Image Motion”, Int. J. Computer Vision, vol. 45, pp. 245–264, 2001.

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.

J. Weickert and Schnörr, C., “Räumlich–zeitliche Berechnung des optischen Flusses mit nichtlinearen flussabhängigen Glattheitstermen”, in Mustererkennung 1999, 1999, pp. 317–324.

J. Weickert, Heers, J., Schnörr, C., Zuiderveld, K. –J., Scherzer, O., and Stiehl, H. –S., “Fast parallel algorithms for a broad class of nonlinear variational diffusion approaches”, Real–Time Imaging, vol. 7, pp. 31–45, 2001.

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