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S. Nowozin, Rother, C., Bagon, S., Sharp, T., Yao, B., and Kohli, P., Decision tree fields, in Proceedings of the IEEE International Conference on Computer Vision, 2011, pp. 1668–1675.
S. Nowozin and Sharp, T., Supplementary Material : Decision Tree Fields, Iccv, 2011.
K. - H. Noffz, Lay, R., Männer, R., Jähne, B., Jähne, B., Geißler, P., and Haußecker, H., Field Programmable Gate Array image processing, Handbook of Computer Vision and Applications, vol. 3: Systems and Applications. Academic Press, 1999.
R. Nielsen, Gasaustausch - Entwicklung und Ergebnis eines schnellen Massenbilanzverfahrens zur Messung der Austauschparameter. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2004.
D. Niegel, Messung konvektionsgetriebener Transfergeschwindigkeit von Sauerstoff an der Luft-Wasser-Grenzfläche, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2010.
A. Nicola, Petra, S., Popa, C., and Schnörr, C., A general extending and constraining procedure for linear iterative methods, Int. J. Comp. Math., 2011.
A. Nicola, Petra, S., Popa, C., and Schnörr, C., On a general extending and constraining procedure for linear iterative methods, IWR, University of Heidelberg, 2009.
A. Nicola, Petra, S., Popa, C., and Schnörr, C., On a general extending and constraining procedure for linear iterative methods, IWR, University of Heidelberg, 2009.PDF icon Technical Report (799.47 KB)
A. Nicola, Petra, S., Popa, C., and Schnörr, C., A general extending and constraining procedure for linear iterative methods, Int.~J.~Comp.~Math., 2011.PDF icon Technical Report (633.79 KB)
H. Nickisch, Rother, C., Kohli, P., and Rhemann, C., Learning an Interactive Segmentation System - Supplemental Material, 2010.
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.
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 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.
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, Dreidimensionale Particle Tracking Velocimetry. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1995.
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, pp. 1–11.
R. Nair, Analysis and Modeling of Passive Stereo and Time-of-Flight Imaging, vol. Dissertation. IWR, Univ. Heidelberg, 2015.
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, Construction and analysis of random tree ensembles, University of Heidelberg, 2010.
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, 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, 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, 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, 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, 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 and Kondermann, D., High Precision TOF-guided Depth from Stereo for Room Scanning, CVMP, Proceedings., 2011.
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.

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