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Author Title [ Type(Desc)] Year
Conference Paper
J. Jancsary, Nowozin, S., and Rother, C., “Loss-specific training of non-parametric image restoration models: A new state of the art”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, vol. 7578 LNCS, pp. 112–125.
P. Pinggera, Ramos, S., Gehrig, S., Franke, U., Rother, C., and Mester, R., “Lost and found: Detecting small road hazards for self-driving vehicles”, in IEEE International Conference on Intelligent Robots and Systems, 2016, vol. 2016-Novem, pp. 1099–1106.
B. Brattoli, Büchler, U., Wahl, A. - S., Schwab, M. E., and Ommer, B., “LSTM Self-Supervision for Detailed Behavior Analysis”, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.PDF icon Article (8.75 MB)
B. H. Menze, Kelm, B. Michael, Heck, D., Lichy, M. P., and Hamprecht, F. A., “Machine-based rejection of low quality spectra and estimation of brain tumor probabilities from magnetic resonance spectroscopic images”, in Bildverarbeitung für die Medizin, 2006, pp. 31-36.PDF icon Technical Report (672.84 KB)
F. Aström, Hühnerbein, R., Savarino, F., Recknagel, J., and Schnörr, C., “MAP Image Labeling Using Wasserstein Messages and Geometric Assignment”, in Proc. SSVM, 2017, vol. 10302.
J. H. Kappes and Schnörr, C., “MAP-Inference for Highly-Connected Graphs with DC-Programming”, in Pattern Recognition – 30th DAGM Symposium, 2008, vol. 5096, pp. 1–10.
J. H. Kappes and Schnörr, C., “MAP-Inference for Highly-Connected Graphs with DC-Programming”, in Pattern Recognition -- 30th DAGM Symposium, 2008, vol. 5096, p. 1--10.PDF icon Technical Report (1.91 MB)
J. Hendrik Kappes, Beier, T., and Schnörr, C., “MAP-Inference on Large Scale Higher-Order Discrete Graphical Models by Fusion Moves”, in International Workshop on Graphical Models in Computer Vision, 2014.
J. H. Kappes, Beier, T., and Schnörr, C., “MAP-Inference on Large Scale Higher-Order Discrete Graphical Models by Fusion Moves”, in Computer Vision - {ECCV} 2014 Workshops - Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part {II}, 2014.PDF icon Technical Report (557.49 KB)
D. L. Richmond, Kainmueller, D., Yang, M. Y., Myers, E. W., and Rother, C., “Mapping auto-context decision forests to deep convnets for semantic segmentation”, in British Machine Vision Conference 2016, BMVC 2016, 2016, vol. 2016-Septe, pp. 144.1–144.12.
D. L. Richmond, Kainmueller, D., Yang, M. Y., Myers, E. W., and Rother, C., “Mapping auto-context decision forests to deep convnets for semantic segmentation”, in British Machine Vision Conference 2016, BMVC 2016, 2016, vol. 2016-Septe, pp. 144.1–144.12.
D. L. Richmond, Kainmueller, D., Yang, M. Y., Myers, E. W., and Rother, C., “Mapping auto-context decision forests to deep convnets for semantic segmentation”, in British Machine Vision Conference 2016, BMVC 2016, 2016, vol. 2016-Septe, pp. 144.1–144.12.
H. Spies, Haußecker, H., and Köhler, H. - J., “Material transport and structure changes at soil-water interfaces”, in Filters and Drainage in Geotechnical and Environmental Engineering, 2000, p. 91--97.
M. Welk, Becker, F., Schnörr, C., and Weickert, J., “Matrix-Valued Filters as Convex Programs”, in Scale-Space 2005, 2005, vol. 3459, pp. 204–216.
A. Eigenstetter, Yarlagadda, P., and Ommer, B., “Max-Margin Regularization for Reducing Accidentalness in Chamfer Matching”, in Proceedins of the Aian Conference on Computer Vision, 2012, p. 152--163.PDF icon Technical Report (7.31 MB)
A. Kirillov, Schlesinger, D., Vetrov, D., Rother, C., and Savchynskyy, B., “M-best-diverse labelings for submodular energies and beyond”, in Advances in Neural Information Processing Systems, 2015, vol. 2015-Janua, pp. 613–621.
D. Kiefhaber, Rocholz, R., Schaper, J., Balschbach, G., and Jähne, B., “Mean square slope measurements in the field with the reflective stereo slope gauge”, in EGU General Assembly, Vienna, 2011.
D. Kiefhaber, Rocholz, R., Balschbach, G., Schaper, J., and Jähne, B., “Measurement of ocean wave statistics with the reflective stereo slope gauge”, in DPG Frühjahrstagung Dresden, Fachverband Umweltphysik, 2011.
D. Wierzimok and Jähne, B., “Measurement of wave-induced turbulent flow structure using digital image sequence analysis”, in Air-Water Mass Transfer, selected papers from the 2nd International Symposium on Gas Transfer at Water Surfaces, September 11--14, 1990, Minneapolis, Minnesota, 1991, p. 200--209.
D. Kiefhaber, Zappa, C. J., and Jähne, B., “Measurement of wind waves statistics from specular reflections”, in Ocean Science Meeting, 23--28. 02. 2014, Honolulu Hawaii, 2014.
U. Schimpf, Haußecker, H., and Jähne, B., “Measurements of air--sea gas transfer using active and passive thermography”, in Eurochem 387 "Remote Sensing of Slicks and Air--Sea Interactions", 1998.
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.
F. Hering, Wierzimok, D., Jähne, B., and Jähne, B., “Measurements of enhanced turbulence in short wind-induced water waves”, in Air-Water Gas Transfer, Selected Papers, 3rd Intern. Symp. on Air-Water Gas Transfer, 1995, p. 775--784.
J. Klinke, Jähne, B., and Jähne, B., “Measurements of short ocean waves during the MBL ARI West Coast Experiment”, in Air-Water Gas Transfer, Selected Papers, 3rd Intern. Symp. on Air-Water Gas Transfer, 1995, p. 165--173.
J. Dieter, Lauer, H., Jähne, B., and Grün, A., “Measurements of slope statistics on a wind driven water surface”, in Optical 3D Measurement Techniques 4 - Applications in architecture, quality control, robotics, navigation, medical imaging and animation, 1997.
H. Haußecker, Schimpf, U., and Jähne, B., “Measurements of the air-sea gas transfer and its mechanisms by active and passive thermography”, in Proc. IEEE International Geoscience and Remote Sensing Symposium IGARSS '98, 1998, vol. 1, p. 484--486 vol.1.
B. Jähne, “Measurements of the modulation of short waves from image sequences”, in Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993, 1996, p. 389--394.
J. Klinke and Jähne, B., “Measurements of the small-scale structure of the water surface with a new optical instrument”, in Proc. 2nd Inter. Conf. on Air-Sea Interaction and on Meteorology and Oceanography of the Coastal Zone, Lisbon, 22.--27. September 1994, 1994.
J. Dieter, Hering, F., Bremeyer, R., Jähne, B., and Jähne, B., “Measurements of velocity profiles in the aqueous boundary layer at a wind-driven water surface”, in Air-Water Gas Transfer, Selected Papers, 3rd Intern. Symp. on Air-Water Gas Transfer, 1995, p. 145--152.
C. S. Garbe, Schimpf, U., and Jähne, B., “Measuring important parameters for air-sea heat exchange”, in ThermoSense, 2002, vol. 4710, p. 171--182.
C. S. Garbe, Schimpf, U., and Jähne, B., “Measuring momentum transport directly at the air water interface from active infrared thermography”, in Geophysical Research Abstracts, 2008.
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.
B. Brattoli, Roth, K., and Ommer, B., “MIC: Mining Interclass Characteristics for Improved Metric Learning”, in Proceedings of the Intl. Conf. on Computer Vision (ICCV), 2019.
K. Roetmann, Garbe, C. S., Schmunk, W., and Beushausen, V., “Micro-flow analysis by molecular tagging velocimetry and planar Raman-scattering”, in Proc.\ of 12th International Symposium on Flow Visualization, 2006.
P. Snoeij, van Halsema, D., Oost, W. A., Calkoen, C. J., Jähne, B., and Vogelzang, J., “Microwave backscatter measurements made from the Dutch Ocean Research Tower 'Noordwijk' compared with model predictions”, in Proc. IGARSS'92, 1992.

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