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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.
N. Gianniotis and Tiño, P., “Visualization of Structured Data via Generative Probabilistic Modeling”, Pattern Recognition, vol. 5400, pp. 118-137, 2009.
N. Gianniotis, Schnörr, C., Molkenthin, C., and Bora, S. S., “Approximate variational inference based on a finite sample of Gaussian latent variables”, Patt.~Anal.~Appl., 2015.PDF icon Technical Report (1.4 MB)
O. Ghori, Mackowiak, R., Bautista, M., Beuter, N., Drumond, L., Diego, F., and Ommer, B., “Learning to Forecast Pedestrian Intention from Pose Dynamics”, in Intelligent Vehicles, IEEE, 2018, 2018.
S. Gerloff, Hagemann, A., Schnörr, C., Tieck, S., Stiehl, H. S., Dombrowski, R., Dreyer, M., and Wiesendanger, R., “Semi–Automated Analysis of SXM Images”, in Proc. 9th Int. Conf. on Scanning Tunneling Microscopy/Spectroscopy and Related Techniques (STM'97), Hamburg, Germany, 1997.
P. Geißler and Jähne, B., “A multi-camera system for in-shore measurements of bubble size distributions beneath breaking waves”, in Optical 3-D Measurement Techniques IV, Zurich, Sept. 29 - Oct. 2, 1997, 1997, p. 251--258.
P. Geißler, Jähne, B., Geißler, P., and Haußecker, H., “Imaging optics”, Handbook of Computer Vision and Applications, vol. 1: Sensors and Imaging. Academic Press, p. 63--101, 1999.
P. Geißler and Jähne, B., “Imaging optics”, Computer Vision and Applications - A Guide for Students and Practitioners. Academic Press, p. 53--84, 2000.
P. Geißler, “Depth-from-Focus zur Messung der Größenverteilung durch Wellenbrechen erzeugter Blasenpopulationen”. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1998.
P. Geißler, “Depth-from-focus Bildanalyseverfahren zur Messung der Konzentration und Größe von Blasen und Mikroorganismen”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1993.
P. Geißler, Dierig, T., Mallot, H. A., and Jähne, B., “Three-dimensional imaging algorithms”, Computer Vision and Applications - A Guide for Students and Practitioners. Academic Press, p. 397--438, 2000.
P. Geißler and Jähne, B., “One-image depth-from-focus for concentration measurements”, in Proc. ISPRS Intercommission Workshop `From Pixels to Sequences', Zurich, March 22 - 24, 1995, In Int'l Arch. of Photog. and Rem. Sens., 1995, vol. XXX-5W1, p. 122--127.
P. Geißler, Jähne, B., and Jähne, B., “Measurements of bubble size distributions with an optical technique based on depth from focus”, in Air-Water Gas Transfer, Selected Papers, 3rd Intern. Symp. on Air-Water Gas Transfer, 1995, p. 351--362.
P. Geißler, Jähne, B., and Waldhäusl, P., “A 3D-sensor for the measurement of particle concentration from image sequences”, in Proc. 18th Int. Congr. for Photogrammetry and Remote Sensing, 1996, vol. 31, p. 194--199.
P. Geißler and Jähne, B., “Laboratory and inshore measurements of bubble size distributions”, in Proc. Natural Physical Processes associated with Sea Surface Sound, Southampton, July 21--24, 1997, 1997, p. 147--154.
P. Geißler, Jähne, B., and Pöppl, S. J., “Depth-from-focus zur Bestimmung der Konzentration und Größe von Gasblasen”, in Proc. 15. DAGM-Symposium Mustererkennung, 1993, p. 560--567.
P. Geißler, Scholz, T., Jähne, B., and Haußecker, H., “Monitoring living biomass with in situ microscopy”, Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press, p. 632--633, 2000.
P. Geißler, Scholz, T., Jähne, B., Haußecker, H., and Geißler, P., “Depth-from-focus for the measurement of size distributions of small particles”, Handbook of Computer Vision and Applications, vol. 3: Systems and Applications. Academic Press, pp. 623-646, 1999.
P. Geißler, Scholz, T., Jähne, B., Schmidt, C., Suhr, H., and Wehnert, G., “Depth-from-Focus Verfahren zur absoluten Größen- und Konzentrationsbestimmung kleiner Teilchen”, in Bildverarbeitung'95 - Forschen, Entwickeln, Anwenden, 1995, p. 365--380.
P. Geißler, Jähne, B., Jähne, B., and Haußecker, H., “Analyzing size spectra of oceanic air bubbles”, Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press, p. 634--635, 2000.
T. Geiler, “Polarisationsbildgebung in der industriellen Qualitätskontrolle”. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2008.
P. Vincent Gehler, Rother, C., Blake, A., Minka, T., and Sharp, T., “Bayesian color constancy revisited”, in 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2008.
P. Vincent Gehler, Rother, C., Kiefel, M., Zhang, L., and Schölkopf, B., “Recovering intrinsic images with a global sparsity prior on reflectance”, in Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011, 2011.
M. Geese, Ruhnau, P., and Jähne, B., “Scene based maximum likelihood PRNU and DSNU non uniformity correction”, in Forum Bildverarbeitung, 2012, p. 71--82.
M. Geese, Ruhnau, P., and Jähne, B., “PRNU and DSNU Maximum Likelihood Estimation Using Sensor Statistics”, tm --- Technisches Messen, vol. 80, p. 321--328, 2013.
M. Geese, “Image Sensor Nonuniformity Correction by a Scene-Based Maximum Likelihood Approach”, vol. Dissertation. IWR, Univ. Heidelberg, 2013.
M. Geese, Ruhnau, P., and Jähne, B., “CNN based dark signal non-uniformity estimation”, in Cellular Nanoscale Networks and Their Applications (CNNA), 2012 13th International Workshop on, 2012, p. 1--6.
M. Geese, “Image Sensor Nonuniformity Correction by a Scene-Based Maximum Likelihood Approach”. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2013.
M. Geese, Jähne, B., and Ruhnau, P., “CNN Based Dark Signal Non-Uniformity Estimation”, CNNA, pp. 1-6, 2012.
P. J. Gee, Hamprecht, F. A., Schuler, L. D., van Gunsteren, W. F., Duchardt, E., Schwalbe, H., Albert, M., and Seebach, D., “A molecular dynamics simulation study of the conformational preferences of oligo-(3- hydroxyalcanoic acids) in chloroform solution”, Helv. Chim. Acta, vol. 85, pp. 618-632, 2002.
M. Gebhard, “Multidimensionale Segmentierung in Bildfolgen und Quantifizierung dynamischer Prozesse”. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2004.
M. Gebhard, “Entwicklung eines Verfahrens für dreidimensionales Particle-Tracking in der Bildfolgenanalyse”, IWR, Fakultät für Physik und Astronomie, Univ. Heidelberg, 2000.
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.
C. S. Garbe, Haußecker, H., and Jähne, B., “Measuring the sea surface heat flux and probability distribution of surface renewal events”, in Gas Transfer at Water Surfaces, 2002, vol. 127, pp. 109-114.
K. Degreif, Jähne, B., and Jähne, B., “Estimating the viscous shear stress at the water surface from active thermography”, Transport at the Air Sea Interface --- Measurements, Models and Parameterizations. Springer-Verlag, p. 223--239, 2007.

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