Publications

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Münsterer, T, Mayer, H Jürgen, Jähne, B and Jähne, B (1995). Dual-tracer measurements of concentration profiles in the aqueous mass boundary layer. Air-water Gas Transfer, Selected Papers from the Third International Symposium on Air--Water Gas Transfer. AEON. 637--648
Mustikovela, S Karthik, Yang, M Ying and Rother, C (2016). Can ground truth label propagation from video help semantic segmentation?. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9915 LNCS 804–820
Mustikovela, S K, Jampani, V, De Mello, S, Liu, S, Iqbal, U, Rother, C and Kautz, J (2020). Self-Supervised Viewpoint Learning From Image Collections. CONSAC. https://github.com/NVlabs/SSVPDF icon PDF (8.77 MB)
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Nagel, L, Krall, K E and Jähne, B (2019). Measurement of air-sea gas transfer velocities in the Baltic Sea. Ocean Science. 15 235–247
Nagel, L (2009). Bestimmung Der Temperaturdifferenz Über Die Viskose Grenzschicht Mit Hilfe Des Oberflächenerneuerungsmodells. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg
Nagel, L (2014). Active Thermography to Investigate Small-Scale Air-Water Transport Processes in the Laboratory and the Field. Institut für Umweltphysik, Fakultät für Chemie und Geowissenschaften, Univ.\ Heidelberg. Dissertation. http://www.ub.uni-heidelberg.de/archiv/16831
Nagel, L, Krall, K Ellen and Jähne, B (2015). Comparative heat and gas exchange measurements in the Heidelberg Aeolotron, a large annular wind-wave tank. Ocean Sci. 11 111--120
Nagel, L, Krall, K Ellen and Jähne, B (2014). Comparative heat and gas exchange measurements in the Heidelberg Aeolotron, a large annular wind-wave tank. Ocean Sci. Discuss. 11 1691--1718
Nagel, L, Richter, K E and Jähne, B (2012). Active Thermography as a Link between Laboratory and Field Studies. SOLAS Open Science Conference, Washington State, USA
Nagel, L, Schimpf, U and Jähne, B (2009). First results from the 2009 SOPRAN active thermography pilot experiment in the Baltic Sea. Poster abstracts SOLAS Open Science Conference, Barcelona, 16--19 Sep. 2009
Nair, R (2010). Construction And Analysis Of Random Tree Ensembles. University of Heidelberg
Nair, R and Kondermann, D (2011). High Precision TOF-guided Depth from Stereo for Room Scanning. CVMP, Proceedings
Nair, R, Lenzen, F, Schäfer, H, Meister, S, Garbe, C S and Kondermann, D (2012). High Accuracy TOF and Stereo Sensor Fusion at Interactive Rates. submitted to ECCV 2012. Springer. 7584 1-11
Nair, R, Ruhl, K, Lenzen, F, Meister, S, Schäfer, H, Garbe, C S, Eisemann, M and Kondermann, D (2013). A Survey on Time-of-Flight Stereo Fusion. Time-of-Flight Imaging: Algorithms, Sensors and Applications. Springer. 8022 105-127
Nair, R, Meister, S, Lambers, M, Balda, M, Hofmann, H, Kolb, A, Kondermann, D and Jähne, B (2012). Ground truth for evaluating time of flight imaging. Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications. Springer. 8200 52--74
Nair, R, Lenzen, F, Meister, S, Schäfer, H, Garbe, C S and Kondermann, D (2012). High accuracy TOF and stereo sensor fusion at interactive rates. Computer Vision--ECCV 2012. Workshops and Demonstrations. Springer Berlin Heidelberg. 1--11PDF icon Technical Report (7.29 MB)
Nair, R, Ruhl, K, Lenzen, F, Meister, S, Schäfer, H, Garbe, C S, Eisemann, M, Magnor, M and Kondermann, D (2013). A Survey on Time-of-Flight Stereo Fusion. Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications. Springer. 8200 105-127PDF icon Technical Report (6.05 MB)
Nair, R, Fitzgibbon, A, Kondermann, D and Rother, C (2015). Reflection modeling for passive stereo. Proceedings of the IEEE International Conference on Computer Vision. 2015 Inter 2291–2299
Nair, R, Lenzen, F, Meister, S, Schäfer, H, Garbe, C S and Kondermann, D (2012). High accuracy TOF and stereo sensor fusion at interactive rates. Computer Vision–ECCV 2012. Workshops and Demonstrations. Springer Berlin Heidelberg. 1–11
Nair, R, Ruhl, K, Lenzen, F, Meister, S, Schäfer, H, Garbe, C S, Eisemann, M, Magnor, M and Kondermann, D (2013). A Survey on Time-of-Flight Stereo Fusion. Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications. Springer. 8200 105-127
Nair, R (2015). Analysis and Modeling of Passive Stereo and Time-of-Flight Imaging. IWR, Univ. Heidelberg. Dissertation
Neigel, P (2017). Self-Similarity Based Detection Of Temporal Motifs In Multivariate Signals. Heidelberg University
Netzsch, T (1995). Dreidimensionale Particle Tracking Velocimetry. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg. http://d-nb.info/945379838
Netzsch, T and Jähne, B (1995). A high-performance system for 3-dimensional particle tracking velocimetry in turbulent flow research using image sequences. Proc. ISPRS Intercommission workshop From Pixels to Sequences, Zürich, March 22-24. Risc Books. 30 Part 5W1 202--207
Netzsch, T and Jähne, B (1992). Dreidimensionale Messung turbulenter Strömung mit Bildverarbeitung. Proc. 14. DAGM-Symposium zur Mustererkennung. Springer. 150--153
Netzsch, T and Jähne, B (1993). Ein schnelles Verfahren zur Lösung des Stereokorrepondenzproblems bei der 3D-Particle Tracking Velocimetry. Proc. 15. DAGM-Symposium Mustererkennung
Neufeld, A, Berger, J, Becker, F, Lenzen, F and Schnörr, C (2015). Estimating Vehicle Ego-Motion and Piecewise Planar Scene Structure from Optical Flow in a Continuous Framework. 37th German Conference on Pattern Recognition
Neumann, J, Schnörr, C and Steidl, G (2003). Feasible Adaption Criteria for Hybrid Wavelet – Large Margin Classifiers. Proc. Computer Analysis of Images and Patterns (CAIP'03). Springer. 2756 588–595
Neumann, J, Schnörr, C and Steidl, G (2005). Combined SVM-based Feature Selection and Classification. Machine Learning. 61 129-150
Neumann, J, Schnörr, C and Steidl, G (2005). Efficient Wavelet Adaption for Hybrid Wavelet-Large Margin Classifiers. Pattern Recognition. 38 1815-1830
Neumann, J, Schnörr, C and Steidl, G (2004). SVM-based Feature Selection by Direct Objective Minimisation. Pattern Recognition, Proc. 26th DAGM Symposium. Springer. 3175 212-219
Neumann, J, Schnörr, C and Steidl, G (2003). Effectively Finding The Optimal Wavelet For Hybrid Wavelet - Large Margin Signal Classification. Dept. Math. and Comp. Science, University of Mannheim, Germany
Nguyen, M Hoai, Torresani, L, De La Torre, F and Rother, C (2009). Weakly supervised discriminative localization and classification: A joint learning process. Proceedings of the IEEE International Conference on Computer Vision. 1925–1932
Nguyen, M Hoai, Torresani, L, De La Torre, F and Rother, C (2009). Weakly supervised discriminative localization and classification: A joint learning process. Proceedings of the IEEE International Conference on Computer Vision. 1925–1932
Nickisch, H, Rother, C, Kohli, P and Rhemann, C (2010). Learning an Interactive Segmentation System - Supplemental Material

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