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M. Hoai Nguyen, Torresani, L., De La Torre, F., and Rother, C., “Weakly supervised discriminative localization and classification: A joint learning process”, in Proceedings of the IEEE International Conference on Computer Vision, 2009, pp. 1925–1932.
J. Neumann, Schnörr, C., and Steidl, G., “Feasible Adaption Criteria for Hybrid Wavelet – Large Margin Classifiers”, in Proc. Computer Analysis of Images and Patterns (CAIP'03), 2003, vol. 2756, pp. 588–595.
J. Neumann, Schnörr, C., and Steidl, G., “Combined SVM-based Feature Selection and Classification”, Machine Learning, vol. 61, pp. 129-150, 2005.
J. Neumann, Schnörr, C., and Steidl, G., “Efficient Wavelet Adaption for Hybrid Wavelet-Large Margin Classifiers”, Pattern Recognition, vol. 38, pp. 1815-1830, 2005.
J. Neumann, Schnörr, C., and Steidl, G., “SVM-based Feature Selection by Direct Objective Minimisation”, in Pattern Recognition, Proc. 26th DAGM Symposium, 2004, vol. 3175, pp. 212-219.
J. Neumann, Schnörr, C., and Steidl, G., “Effectively Finding the Optimal Wavelet for Hybrid Wavelet - Large Margin Signal Classification”, Dept. Math. and Comp. Science, University of Mannheim, Germany, 5, 2003.
A. Neufeld, Berger, J., Becker, F., Lenzen, F., and Schnörr, C., “Estimating Vehicle Ego-Motion and Piecewise Planar Scene Structure from Optical Flow in a Continuous Framework”, in 37th German Conference on Pattern Recognition, 2015.
T. Netzsch, “Dreidimensionale Particle Tracking Velocimetry”. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1995.
T. Netzsch and Jähne, B., “A high-performance system for 3-dimensional particle tracking velocimetry in turbulent flow research using image sequences”, in Proc. ISPRS Intercommission workshop From Pixels to Sequences, Zürich, March 22-24, 1995, vol. 30 Part 5W1, p. 202--207.
T. Netzsch and Jähne, B., “Dreidimensionale Messung turbulenter Strömung mit Bildverarbeitung”, in Proc. 14. DAGM-Symposium zur Mustererkennung, 1992, p. 150--153.
T. Netzsch and Jähne, B., “Ein schnelles Verfahren zur Lösung des Stereokorrepondenzproblems bei der 3D-Particle Tracking Velocimetry”, in Proc. 15. DAGM-Symposium Mustererkennung, 1993.
P. Neigel, “Self-Similarity Based Detection of Temporal Motifs in Multivariate Signals”, Heidelberg University, 2017.
R. Nair, Lenzen, F., Meister, S., Schäfer, H., Garbe, C. S., and Kondermann, D., “High accuracy TOF and stereo sensor fusion at interactive rates”, in Computer Vision--ECCV 2012. Workshops and Demonstrations, 2012, p. 1--11.PDF icon Technical Report (7.29 MB)
R. Nair, Ruhl, K., Lenzen, F., Meister, S., Schäfer, H., Garbe, C. S., Eisemann, M., Magnor, M., and Kondermann, D., “A Survey on Time-of-Flight Stereo Fusion”, Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications, vol. 8200. Springer, pp. 105-127, 2013.PDF icon Technical Report (6.05 MB)
R. Nair, “Construction and analysis of random tree ensembles”, University of Heidelberg, 2010.
R. Nair and Kondermann, D., “High Precision TOF-guided Depth from Stereo for Room Scanning”, CVMP, Proceedings., 2011.
R. Nair, Lenzen, F., Schäfer, H., Meister, S., Garbe, C. S., and Kondermann, D., “High Accuracy TOF and Stereo Sensor Fusion at Interactive Rates”, in submitted to ECCV 2012, 2012, vol. 7584, pp. 1-11.
R. Nair, Ruhl, K., Lenzen, F., Meister, S., Schäfer, H., Garbe, C. S., Eisemann, M., and Kondermann, D., “A Survey on Time-of-Flight Stereo Fusion”, in Time-of-Flight Imaging: Algorithms, Sensors and Applications, 2013, vol. 8022, pp. 105-127.
R. Nair, Meister, S., Lambers, M., Balda, M., Hofmann, H., Kolb, A., Kondermann, D., and Jähne, B., “Ground truth for evaluating time of flight imaging”, Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications, vol. 8200. Springer, p. 52--74, 2012.
R. Nair, Fitzgibbon, A., Kondermann, D., and Rother, C., “Reflection modeling for passive stereo”, in Proceedings of the IEEE International Conference on Computer Vision, 2015, vol. 2015 Inter, pp. 2291–2299.
R. Nair, Lenzen, F., Meister, S., Schäfer, H., Garbe, C. S., and Kondermann, D., “High accuracy TOF and stereo sensor fusion at interactive rates”, in Computer Vision–ECCV 2012. Workshops and Demonstrations, 2012, pp. 1–11.
R. Nair, Ruhl, K., Lenzen, F., Meister, S., Schäfer, H., Garbe, C. S., Eisemann, M., Magnor, M., and Kondermann, D., “A Survey on Time-of-Flight Stereo Fusion”, Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications, vol. 8200. Springer, pp. 105-127, 2013.
R. Nair, “Analysis and Modeling of Passive Stereo and Time-of-Flight Imaging”, vol. Dissertation. IWR, Univ. Heidelberg, 2015.
L. Nagel, “Bestimmung der Temperaturdifferenz über die viskose Grenzschicht mit Hilfe des Oberflächenerneuerungsmodells”, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2009.
L. Nagel, “Active Thermography to Investigate Small-Scale Air-Water Transport Processes in the Laboratory and the Field”, vol. Dissertation. Institut für Umweltphysik, Fakultät für Chemie und Geowissenschaften, Univ.\ Heidelberg, 2014.
L. Nagel, Krall, K. Ellen, and Jähne, B., “Comparative heat and gas exchange measurements in the Heidelberg Aeolotron, a large annular wind-wave tank”, Ocean Sci., vol. 11, p. 111--120, 2015.
L. Nagel, Krall, K. Ellen, and Jähne, B., “Comparative heat and gas exchange measurements in the Heidelberg Aeolotron, a large annular wind-wave tank”, Ocean Sci. Discuss., vol. 11, p. 1691--1718, 2014.
L. Nagel, Richter, K. E., and Jähne, B., “Active Thermography as a Link between Laboratory and Field Studies”, in SOLAS Open Science Conference, Washington State, USA, 2012.
L. Nagel, Schimpf, U., and Jähne, B., “First results from the 2009 SOPRAN active thermography pilot experiment in the Baltic Sea”, in Poster abstracts SOLAS Open Science Conference, Barcelona, 16--19 Sep. 2009, 2009.
L. Nagel, Krall, K. E., and Jähne, B., “Measurement of air-sea gas transfer velocities in the Baltic Sea”, Ocean Science, vol. 15, pp. 235–247, 2019.
M
S. Karthik Mustikovela, Yang, M. Ying, and Rother, C., “Can ground truth label propagation from video help semantic segmentation?”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2016, vol. 9915 LNCS, pp. 804–820.
S. K. Mustikovela, Jampani, V., De Mello, S., Liu, S., Iqbal, U., Rother, C., and Kautz, J., “Self-Supervised Viewpoint Learning From Image Collections”, in CONSAC, 2020.PDF icon PDF (8.77 MB)
T. Münsterer and Jähne, B., “A LIF technique for the measurement of concentration profiles in the aqueous mass boundary layer”, in Proc.\ 7th Intern.\ Symp.\ on Appl.\ of Laser Techn.\ to Fluid Mechanics, Lisbon, Portugal, July 11.--14. 1994, 1994, vol. II, p. 29.4.1--5.
T. Münsterer, “LIF Investigation of the Mechanisms Controlling Air--Water Mass Transfer at a Free Interface”. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1996.
T. Münsterer, “Messung von Konzentrationsprofilen gelöster Gase in der wasserseitigen Grenzschicht”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1993.

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