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Kamann, C and Rother, C (2020). Benchmarking the Robustness of Semantic Segmentation Models. CVPR 2020. http://arxiv.org/abs/1908.05005

PDF (3.61 MB)

Kamann, C and Rother, C (2019). Benchmarking the Robustness of Semantic Segmentation Models. http://arxiv.org/abs/1908.05005

Kainmueller, D, Jug, F, Rother, C and Myers, G (2014). Active graph matching for automatic joint segmentation and annotation of C. elegans. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8673 LNCS 81–88

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Jug, F, Pietzsch, T, Kainmüller, D, Funke, J, Kaiser, M, van Nimwegen, E, Rother, C and Myers, G (2014). Optimal joint segmentation and tracking of escherichia coli in the mother machine. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8677 25–36

Jenner, E, Fita, E and Hamprecht, F A (2021). Extensions of Karger's Algorithm: Why They Fail in Theory and How They Are Useful in Practice. ICCV. Proceedings. 4602-4611

Technical Report (1.1 MB)

Jehle, M, Sommer, C and Jähne, B (2010). Learning of Optimal Illumination for Material Classification. Proceedings of the 32nd DAGM Symposium on Pattern Recognition, Darmstadt, Germany. Springer. 563-572

Jehle, M and Jähne, B (2010). Optimal Lighting for Defect Detection: Illumination Systems, Machine Learning, and Practical Verification. Forum Bildverarbeitung, Regensburg, 02.-03.12.2010. KIT SCientific Publishing. 301-312

Jehle, M (2011). Applying Variable Selection To Illumination-Series Data Using The Ilastik Tool. Heidelberg Collaboratory for Image Processing, University of Heidelberg

Jehle, M (2011). Hci's Parabolic Lighting Facility - Design And Usage. Heidelberg Collaboratory for Image Processing, University of Heidelberg

Jehle, M and Jähne, B (2010). Optimal lighting for defect detection: illumination systems, machine learning, and practical verification. Forum Bildverarbeitung. KIT Scientific Publishing. 241--252. http://digbib.ubka.uni-karlsruhe.de/volltexte/1000020266

Jehle, M, Sommer, C and Jähne, B (2010). Learning of optimal illumination for material classification. Pattern Recognition. Springer. 6376 563--572

Jehle, M (2006). Spatio-temporal analysis of flows close to water surfaces. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg. http://www.ub.uni-heidelberg.de/archiv/7060/

Jehle, M and Jähne, B (2008). A novel method for three-dimensional three-component analysis of flow close to free water surfaces. Exp. Fluids. 44 469--480

Jehle, M and Jähne, B (2006). Eine neuartige Methode zur raumzeitlichen Analyse von Strömungen in Grenzschichten. Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Heidelberg, 15.-17.03.2006. Deutsche Physikalische Gesellschaft. http://www.dpg-verhandlungen.de/2006/heidelberg/up.html

Jehle, M and Jähne, B (2006). A novel method for spatio-temporal analysis of flows within the water-side viscous boundary layer. 12th Intern. Symp. on Flow Visualization, Göttingen, 10--14. September 2006

Jehle, M, Jähne, B and Kertzscher, U (2006). Direct estimation of the wall shear rate using parametric motion models in 3D. Proceedings of the 28th DAGM Symposium on Pattern Recognition. 4174 434--443

Jehle, M, Klar, M, Köhler, H - J and Heibaum, M (2004). Bewegungsdetektion und Geschwindigkeitsanalyse in Bildfolgen zur Untersuchung von Sedimentverlagerungen. Mitteilungen des Instituts für Grundbau und Bodenmechanik. 77 371-392

Janssen, J A M, Calkoen, C J, van Halsema, D, Jähne, B, Janssen, P A E M, Oost, W A, Snoeij, P, Vogelzang, J and Wallbrink, H (1993). The VIERS scatterometer algorithm. Proc. The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993. University of Miami. 749--754

Janssen, J A M, Calkoen, C J, van Halsema, D, Jähne, B, Janssen, P A E M, Oost, W A, Snoeij, P, Vogelzang, J and Wallbrink, H (1996). The VIERS scatterometer algorithm. Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993. RSMAS, University of Miami. 749--754

Jancsary, J, Nowozin, S and Rother, C (2012). Loss-specific training of non-parametric image restoration models: A new state of the art. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7578 LNCS 112–125

Jancsary, J, Nowozin, S and Rother, C (2012). Loss-specific training of non-parametric image restoration models: A new state of the art. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7578 LNCS 112–125

Jancsary, J, Nowozin, S and Rother, C (2012). Non-parametric crfs for image labeling. NIPS Workshop Modern Nonparametric Methods in Machine Learning. 1–5. http://www.nowozin.net/sebastian/papers/jancsary2012nonparametriccrf.pdf

Jancsary, J, Nowozin, S, Sharp, T and Rother, C (2012). Regression Tree Fields An efficient, non-parametric approach to image labeling problems. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2376–2383

Jancsary, J, Nowozin, S, Sharp, T and Rother, C (2012). Regression Tree Fields An efficient, non-parametric approach to image labeling problems. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2376–2383

Jancsary, J, Nowozin, S and Rother, C (2013). Learning convex QP relaxations for structured prediction. 30th International Conference on Machine Learning, ICML 2013. 1952–1960

Jähne, B, Geißler, P and Haußecker, H (1999). Handbook Of Computer Vision And Applications. Academic Press

Jähne, B, Geißler, P and Haußecker, H (1996). Mustererkennung 1996, 18. Dagm-Symposium Heidelberg, 11.–13. September 1996. Springer

Jähne, B and Haußecker, H (2000). Computer Vision And Applications: A Guide For Students And Practitioners. Academic Press

Jähne, (2007). Complex Motion, Proceedings Of The 1St Workshop, Günzburg, October 2004. Springer

Jähne, (1995). Air-Water Gas Transfer --- Selected Papers from the Third International Symposium on Air-Water Gas Transfer. AEON. http://www.ub.uni-heidelberg.de/archiv/17063

Jähne, B and Schwarzbauer, M (2016). Noise equalisation and quasi loss-less image data compression – or how many bits needs an image sensor?. tm – Technisches Messen. 83 16–24

Jähne, (2009). Methoden Zur Schnellen Und Genauen Messung Der Gasaustauschrate Im Aelotron Mit Gasen Niedriger Und Hoher Löslichkeit. Forschungsgruppe Bildverarbeitung, Interdisziplinäres Zentrum für Wissenschaftliches Rechnen und Institut für Umweltphysik, Universität Heidelberg

Jähne, (1995). Zuverlässig, Schnell und Genau? - Bedeutung von Algorithmen in der Bildverarbeitung für die Praxis. Bildverarbeitung'95 - Forschen, Entwickeln, Anwenden. Technische Akademie Esslingen. 3--14

Jähne, (1996). Measurements of the modulation of short waves from image sequences. Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993. RSMAS, University of Miami. 389--394

Jähne, (1999). Blätter, Wind und Wellen. Unsichtbares wird sichtbar.. computer art faszination, dot'99. dot-Verlag. 38--43

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