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

Technical Report (665.33 KB)

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

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

Takami, M, Bell, P and Ommer, B (2014). Offline Learning of Prototypical Negatives for Efficient Online Exemplar SVM. Winter Conference on Applications of Computer Vision. IEEE. 377--384. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6836075

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

Ruhnau, P, Stahl, A and Schnörr, C (2006). On-Line Variational Estimation of Dynamical Fluid Flows with Physics-Based Spatio-Temporal Regularization. Proc.~DAGM 2006. Springer. 375-388 375-388

Technical Report (902.47 KB)

Ruhnau, P, Stahl, A and Schnörr, C (2006). On-Line Variational Estimation of Dynamical Fluid Flows with Physics-Based Spatio-Temporal Regularization. Proc. DAGM 2006. Springer. 375-388 375-388

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

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

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

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

Jähne, B and Jähne, B (1989). Optical measuring technique for small scale water surface waves. 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. 147--152

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

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

Atif, M and Jähne, B (2012). Optimal Depth Estimation from a Single Image by Computational Imaging using Chromatic Aberrations. Forum Bildverarbeitung. KIT Scientific Publishing. 23--34. http://digbib.ubka.uni-karlsruhe.de/volltexte/1000030440

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 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

Erz, M and Jähne, B (2012). Optimale und differenzierte Kameraauswahl nach dem EMVA-Standard 1288. Forum Bildverarbeitung. KIT Scientific Publishing. 35--46. http://digbib.ubka.uni-karlsruhe.de/volltexte/1000030440

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

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

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

Technical Report (1 MB)

Erz, M and Jähne, B (2010). Optimierte Kameraauswahl für maschinelles Sehen durch standardisierte Charakterisierung des bildgebenden Systeme. Forum Bildverarbeitung. KIT Scientific Publishing. 155--166. http://digbib.ubka.uni-karlsruhe.de/volltexte/1000020266

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

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

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

Technical Report (1.12 MB)

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

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

PDF (3.1 MB)

Bock, E J, 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 (2002). Overview of the CoOP experiments: physical and chemical measurements parameterizing air-sea gas transfer. Gas Transfer at Water Surfaces. American Geophysical Union. 127 39--44

Milbich, T, Roth, K and Ommer, B (2020). PADS: Policy-Adapted Sampling for Visual Similarity Learning. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 1. https://arxiv.org/abs/2003.11113

Yarkony, J, Beier, T, Baldi, P and Hamprecht, F A (2014). Parallel Multicut Segmentation via Dual Decomposition. 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. http://dx.doi.org/10.1007/978-3-319-17876-9_4

Kohlberger, T, Schnörr, C, Bruhn, A and Weickert, J (2004). Parallel Variational Motion Estimation by Domain Decomposition and Cluster Computing. Computer Vision – ECCV 2004. Springer. 3024 205-216

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

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

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

Monroy, A, Kröger, T, Arnold, M and Ommer, B (2011). Parametric Object Detection for Iconographic Analysis. Scientific Computing & Cultural Heritage. http://www.academia.edu/9439693/Parametric_Object_Detection_for_Iconographic_Analysis

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