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B. H. Menze, Kelm, B. Michael, Splitthoff, N., Köthe, U., and Hamprecht, F. A., “On oblique random forests”, in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2011. Proceedings., 2011, pp. 453-469.

Technical Report (665.33 KB)

U. Schimpf, Frew, N. M., Kalkenings, R., Garbe, C. S., and Jähne, B., “Observational studies of parameters influencing air--sea gas exchange”, in Geophysical Research Abstracts, 2003, vol. 5, p. 09328.

J. Klinke, Jähne, B., and Long, S. R., “Observations of free and bound gravity-capillary Waves”, in The Wind-Driven Air-Sea Interface, Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes, 1999, p. 87--88.

M. Takami, Bell, P., and Ommer, B., “Offline Learning of Prototypical Negatives for Efficient Online Exemplar SVM”, in Winter Conference on Applications of Computer Vision, 2014, p. 377--384.

P. Geißler and Jähne, B., “One-image depth-from-focus for concentration measurements”, in Proc. ISPRS Intercommission Workshop `From Pixels to Sequences', Zurich, March 22 - 24, 1995, In Int'l Arch. of Photog. and Rem. Sens., 1995, vol. XXX-5W1, p. 122--127.

P. Ruhnau, Stahl, A., and Schnörr, C., “On-Line Variational Estimation of Dynamical Fluid Flows with Physics-Based Spatio-Temporal Regularization”, in Proc.~DAGM 2006, 2006, vol. 375-388, pp. 375-388.

Technical Report (902.47 KB)

P. Ruhnau, Stahl, A., and Schnörr, C., “On-Line Variational Estimation of Dynamical Fluid Flows with Physics-Based Spatio-Temporal Regularization”, in Proc. DAGM 2006, 2006, vol. 375-388, pp. 375-388.

J. L. Barron, Liptay, A., and Spies, H., “Optical and range flow to measure 3D plant growth and motion”, in Image Vision Computing New Zealand, 2000, p. 68--77.

C. S. Garbe, Roetmann, K., and Jähne, B., “An optical flow based technique for the non-invasive measurement of microfluidic flows”, in 12th Intern. Symp. on Flow Visualization, Göttingen, 10--14. September 2006, 2006.

D. Kiefhaber, Rocholz, R., Bauer, P. Salomon, and Jähne, B., “Optical measurement of surface ocean waves”, in 3rd EOS Topical Meeting on Blue Photonics --- Optics in the Sea, 2013.

W. Mischler and Jähne, B., “Optical measurements of bubbles and spray in wind/water facilities at high wind speeds”, in 12th International Triennial Conference on Liquid Atomization and Spray Systems 2012, Heidelberg (ICLASS 2012), 2012.

B. Jähne and Jähne, B., “Optical measuring technique for small scale water surface waves”, in Advanced Optical Instrumentation for Remote Sensing of the Earth's Surface from Space, SPIE Proceeding 1129, International Congress on Optical Science and Engineering, Paris, 24-28 April 1989, 1989, p. 147--152.

W. Mischler, Rocholz, R., and Jähne, B., “Optical method for measuring size-distribution and lifetime of bubbles”, in Poster abstracts SOLAS Open Science Conference, Barcelona, 16--19 Sep. 2009, 2009.

B. Jähne, “Optical water waves measuring techniques”, in Talk, 1st International Symposium on Gas Transfer at Water Surfaces, Cornell University, Ithaca, New York, June 13--15, 1983, 1983.

M. Atif and Jähne, B., “Optimal Depth Estimation from a Single Image by Computational Imaging using Chromatic Aberrations”, in Forum Bildverarbeitung, 2012, p. 23--34.

M. Jehle and Jähne, B., “Optimal Lighting for Defect Detection: Illumination Systems, Machine Learning, and Practical Verification”, in Forum Bildverarbeitung, Regensburg, 02.-03.12.2010, 2010, pp. 301-312.

M. Jehle and Jähne, B., “Optimal lighting for defect detection: illumination systems, machine learning, and practical verification”, in Forum Bildverarbeitung, 2010, p. 241--252.

M. Erz and Jähne, B., “Optimale und differenzierte Kameraauswahl nach dem EMVA-Standard 1288”, in Forum Bildverarbeitung, 2012, p. 35--46.

J. Lellmann, Lenzen, F., and Schnörr, C., “Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem”, in Energy Min. Meth. Comp. Vis. Patt. Recogn., 2011, pp. 132-146.

J. Lellmann, Lenzen, F., and Schnörr, C., “Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem”, in Energy Min. Meth. Comp. Vis. Patt. Recogn., 2011, vol. 6819, pp. 132–146.

J. Lellmann, Lenzen, F., and Schnörr, C., “Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem”, in Energy Min. Meth. Comp. Vis. Patt. Recogn., 2011, vol. 6819, p. 132--146.

Technical Report (1 MB)

M. Erz and Jähne, B., “Optimierte Kameraauswahl für maschinelles Sehen durch standardisierte Charakterisierung des bildgebenden Systeme”, in Forum Bildverarbeitung, 2010, p. 155--166.

C. Rother, Kolmogorov, V., Lempitsky, V., and Szummer, M., “Optimizing binary MRFs via extended roof duality”, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2007.

F. Rathke, Schmidt, S., and Schnörr, C., “Order Preserving and Shape Prior Constrained Intra-Retinal Layer Segmentation in Optical Coherence Tomography”, in MICCAI, 2011, vol. 6893, pp. 370–377.

F. Rathke, Schmidt, S., and Schnörr, C., “Order Preserving and Shape Prior Constrained Intra-Retinal Layer Segmentation in Optical Coherence Tomography”, in MICCAI, 2011, vol. 6893, p. 370--377.

Technical Report (1.12 MB)

F. Rathke, Schmidt, S., and Schnörr, C., “Order Preserving and Shape Prior Constrained Intra-Retinal Layer Segmentation in Optical Coherence Tomography”, in MICCAI 2011, Proceedings, 2011, vol. 6893, pp. 370-377.

T. J. Adler, Ayala, L., Ardizzone, L., Kenngott, H. G., Vemuri, A., Müller-Stich, B. P., Rother, C., Köthe, U., and Maier-Hein, L., “Out of Distribution Detection for Intra-operative Functional Imaging”, in MICCAI UNSURE Workshop 2019, 2019, vol. 11840 LNCS, pp. 75–82.

PDF (3.1 MB)

E. J. Bock, Edson, J. B., Frew, N. M., Hara, T., Haußecker, H., Jähne, B., McGilles, W. R., McKenna, S. P., Nelson, R. K., Schimpf, U., and Uz, B. M., “Overview of the CoOP experiments: physical and chemical measurements parameterizing air-sea gas transfer”, in Gas Transfer at Water Surfaces, 2002, vol. 127, p. 39--44.

T. Milbich, Roth, K., and Ommer, B., “PADS: Policy-Adapted Sampling for Visual Similarity Learning”, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020, vol. 1, no. 1.

J. Yarkony, Beier, T., Baldi, P., and Hamprecht, F. A., “Parallel Multicut Segmentation via Dual Decomposition”, in New Frontiers in Mining Complex Patterns - Third International Workshop, {NFMCP} 2014, Held in Conjunction with {ECML-PKDD} 2014, Nancy, France, September 19, 2014, Revised Selected Papers, 2014.

T. Kohlberger, Schnörr, C., Bruhn, A., and Weickert, J., “Parallel Variational Motion Estimation by Domain Decomposition and Cluster Computing”, in Computer Vision – ECCV 2004, 2004, vol. 3024, pp. 205-216.

J. Heers, Schnörr, C., and Stiehl, H. –S., “Parallele und global konvergente iterative Minimierung nichtlinearer Variationsansätze zur adaptiven Glättung und Segmentation von Bildern”, in Mustererkennung 1998, Heidelberg, 1998.

B. Jähne, Fischer, K. H., Ilmberger, J., Libner, P., Weiss, W., Imboden, D., Lemnin, U., and Jaquet, J. M., “Parameterization of air/lake gas exchange”, in Gas transfer at water surfaces, 1984, p. 469--476.

E. Bodnariuc, Petra, S., Poelma, C., and Schnörr, C., “Parametric Dictionary-Based Velocimetry for Echo PIV”, in Proc. CGPR, 2016.

A. Monroy, Kröger, T., Arnold, M., and Ommer, B., “Parametric Object Detection for Iconographic Analysis”, in Scientific Computing & Cultural Heritage, 2011.

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