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.

S.  Haller, Prakash, M., Hutschenreiter, L., Pietzsch, T., Rother, C., Jug, F., Swoboda, P., and Savchynskyy, B., ?A Primal-Dual Solver for Large-Scale Tracking-by-Assignment?, AISTATS 2020. 2020.

A.  Bailoni, Pape, C., Wolf, S., Kreshuk, A., and Hamprecht, F. A., ?Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks?, GCPR, vol. 12544. Springer, pp. 331-344, 2020.

R.  Snajder, ?Pipeline für die automatisierte Objektsegmentierung von 3D Lightshet Mikroskopiebildern?, Heidelberg University, 2019.

F.  E Sanmartin, Damrich, S., and Hamprecht, F. A., ?Probabilistic Watershed: Sampling all spanning forests for seeded segmentation and semi-supervised learning?, in Advances in Neural Information Processing Systems, 2019.

A.  Krull, Brachmann, E., Nowozin, S., Michel, F., Shotton, J., and Rother, C., ?PoseAgent: Budget-constrained 6D object pose estimation via reinforcement learning?, in Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 2017, vol. 2017-Janua, pp. 2566?2574.

T.  Hehn, ?A probabilistic approach to learn complex differentiable split functions in decision trees using gradient ascent?, Heidelberg University, 2017.

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

P.  Swoboda, Shekhovtsov, A., Kappes, J. Hendrik, Schnörr, C., and Savchynskyy, B., ?Partial Optimality by Pruning for MAP-Inference with General Graphical Models?, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 38, pp. 1370?1382, 2016.

P.  Swoboda, Shekhovtsov, A., Kappes, J. H., Schnörr, C., and Savchynskyy, B., ?Partial Optimality by Pruning for MAP-Inference with General Graphical Models?, IEEE Trans. Patt. Anal. Mach. Intell., vol. 38, pp. 1370?1382, 2016.

E.  Bodnariuc, Schiffner, M. F., Petra, S., and Schnörr, C., ?Plane Wave Acoustic Superposition for Fast Ultrasound Imaging?, International Ultrasonics Symposium. 2016.

N. J.  Mitra, Stam, J., Xu, K., Cheng, M. - M., Prisacariu, V. Adrian, Zheng, S., Torr, P. H. S., and Rother, C., ?Pacific Graphics 2015 DenseCut: Densely Connected CRFs for Realtime GrabCut?, vol. 34, 2015.

J.  Mund, Zouhar, A., Meyer, L., Fricke, H., and Rother, C., ?Performance evaluation of LiDAR point clouds towards automated FOD detection on airport aprons?, in Proceedings of ATACCS 2015 - 5th International Conference on Application and Theory of Automation in Command and Control Systems, 2015, pp. 85?94.

J.  Mund, Zouhar, A., Meyer, L., Fricke, H., and Rother, C., ?Performance evaluation of LiDAR point clouds towards automated FOD detection on airport aprons?, in Proceedings of ATACCS 2015 - 5th International Conference on Application and Theory of Automation in Command and Control Systems, 2015, pp. 85?94.

B.  Antic and Ommer, B., ?Per-Sample Kernel Adaptation for Visual Recognition and Grouping?, in Proceedings of the IEEE International Conference on Computer Vision, 2015.

F.  Michel, Krull, A., Brachmann, E., Yang, M. Ying, Gumhold, S., and Rother, C., ?Pose Estimation of Kinematic Chain Instances via Object Coordinate Regression?, 2015, pp. 181.1?181.11.

J. H.  Kappes, Swoboda, P., Savchynskyy, B., Hazan, T., and Schnörr, C., ?Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts?, in Proc.~SSVM, 2015.

J. Hendrik Kappes, Swoboda, P., Savchynskyy, B., Hazan, T., and Schnörr, C., ?Probabilistic correlation clustering and image partitioning using perturbed Multicuts?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015, vol. 9087, pp. 231?242.

J.  Kappes, Swoboda, P., Savchynskyy, B., Hazan, T., and Schnörr, C., ?Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts?, in Proc. SSVM, 2015.

F.  Rathke, ?Probabilistic Graphical Models for Medical Image Segmentation?. University Heidelberg, 2015.

M.  Schiegg, Heuer, B., Haubold, C., Wolf, S., Köthe, U., and Hamprecht, F. A., ?Proof-reading Guidance in Cell Tracking by Sampling from Tracking-by-assignment Models?, in ISBI. Proceedings, 2015, pp. 394-398.

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.

P.  Swoboda, Savchynskyy, B., Kappes, J. H., and Schnörr, C., ?Partial Optimality by Pruning for MAP-inference with General GraphicalModels?, CVPR. Proceedings. pp. 1170-1177, 2014.

P.  Swoboda, Savchynskyy, B., Kappes, J. H., and Schnörr, C., ?Partial Optimality by Pruning for MAP-inference with General Graphical Models?, in IEEE Conference on Computer Vision and Pattern Recognition 2014, 2014.

P.  Swoboda, Savchynskyy, B., Kappes, J. H., and Schnörr, C., ?Partial Optimality by Pruning for MAP-inference with General Graphical Models?, in IEEE Conference on Computer Vision and Pattern Recognition 2014, 2014.

A.  Denitiu, Petra, S., Schnörr, C., and Schnörr, C., ?Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections?, Fundamenta Informaticae, vol. 135, p. 73--102, 2014.

A.  Denitiu, Petra, S., Schnörr, C., and Schnörr, C., ?Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections?, Fundamenta Informaticae, vol. 135, pp. 73?102, 2014.

F.  Besse, Rother, C., Fitzgibbon, A., and Kautz, J., ?PMBP: PatchMatch Belief Propagation for correspondence field estimation?, International Journal of Computer Vision, vol. 110, pp. 2?13, 2014.

F.  Besse, Rother, C., Fitzgibbon, A., and Kautz, J., ?PMBP: PatchMatch Belief Propagation for correspondence field estimation?, International Journal of Computer Vision, vol. 110, pp. 2?13, 2014.

F.  Besse, Rother, C., Fitzgibbon, A., and Kautz, J., ?PMBP: PatchMatch Belief Propagation for correspondence field estimation?, International Journal of Computer Vision, vol. 110, pp. 2?13, 2014.

F.  Rathke, Schmidt, S., and Schnörr, C., ?Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization?, Med. Image Anal., vol. 18, pp. 781?794, 2014.

F.  Rathke, Schmidt, S., and Schnörr, C., ?Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization?, Medical Image Analysis, vol. 18, pp. 781-794, 2014.

F.  Rathke, Schmidt, S., and Schnörr, C., ?Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization?, Medical Image Analysis, vol. 18, pp. 781-794, 2014.

L.  Distributions, ?Proof of Lemma 2 Proof of Lemma 3 Proof of Theorem 4 Proof of Lemma 10?, Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, pp. 9?11, 2014.

C. S.  Garbe and Ommer, B., ?Parameter Estimation in Image Processing and Computer Vision?, in Model Based Parameter Estimation: Theory and Applications, Springer, 2013, p. 311--334.

P.  Swoboda, Savchynskyy, B., Kappes, J. H., and Schnörr, C., ?Partial Optimality via Iterative Pruning for the Potts Model?, in Proceedings of the 4th International Conference on Scale Space andVariational Methods in Computer Vision SSVM, 2013, pp. 477-488.

P.  Swoboda, Savchynskyy, B., Kappes, J. H., and Schnörr, C., ?Partial Optimality via Iterative Pruning for the Potts Model?, in Scale Space and Variational Methods (SSVM 2013), 2013.

P.  Swoboda, Savchynskyy, B., Kappes, J. H., and Schnörr, C., ?Partial Optimality via Iterative Pruning for the Potts Model?, in Scale Space and Variational Methods (SSVM 2013), 2013.

P.  Swoboda, Savchynskyy, B., Kappes, J. H., and Schnörr, C., ?Persistency by Pruning for General Graphical Models?, in submitted to NIPS 2013., 2013.

M.  Geese, Ruhnau, P., and Jähne, B., ?PRNU and DSNU Maximum Likelihood Estimation Using Sensor Statistics?, tm --- Technisches Messen, vol. 80, p. 321--328, 2013.

C.  Kräuter, Richter, K. E., Mesarchaki, E., Rocholz, R., Williams, J., and Jähne, B., ?Partitioning of the Trasfer Resistance between Air and Water?, in SOLAS Open Science Conference, Washington State, USA, 2012.

D.  Kondermann, Abraham, S., Förstner, W., Gehrig, S., Imiya, A., Jähne, B., Klose, F., Magor, M., Mayer, H., Mester, R., Pajdla, T., Reulke, R., and Zimmer, H., ?On Performance Analysis of Optical Flow Algorithms?, in Outdoor and Large-Scale Real-Worls Scene Analysis, Dagstuhl-Workshop2011, 2012, vol. LNCS, pp. 329-355.

B.  Jähne, ?Plenoptic image acquisition and processing?, in Proc.\ Int. Symp. Microoptical Imaging and Projection (MIPS2012), 2012, p. 87--89.

C. S.  Garbe, Voss, B., and Stapf, J., ?Plenoptic Particle Streak Velocimetry (pPSV): 3D3C fluid flow measurement from light fields with a single plenoptic camera?, 16th International Symposium on Applications of Laser Techniques to Fluid Mechanics. Instituto Superior Técnico, pp. 1-12, 2012.

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

M.  Bleyer, Rhemann, C., and Rother, C., ?PatchMatch Stereo - Stereo Matching with Slanted Support Windows?, 2011, pp. 14.1?14.11.

B.  Andres, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., ?Probabilistic Image Segmentation with Closedness Constraints?, in ICCV, Proceedings, 2011, pp. 2611 - 2618.

B.  Andres, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., ?Probabilistic Image Segmentation with Closedness Constraints?, in Proceedings of ICCV, 2011.

B.  Andres, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., ?Probabilistic Image Segmentation with Closedness Constraints?, in Proceedings of ICCV, 2011.

P.  Pletscher, Nowozin, S., Kohli, P., and Rother, C., ?Putting MAP back on the map?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2011, vol. 6835 LNCS, pp. 111?121.

P.  Pletscher, Nowozin, S., Kohli, P., and Rother, C., ?Putting MAP back on the map?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2011, vol. 6835 LNCS, pp. 111?121.

A.  Vlasenko and Schnörr, C., ?Physically Consistent and Efficient Variational Denoising of Image Fluid Flow Estimates?, IEEE Trans.~Image Proc., vol. 19, pp. 586-595, 2010.

A.  Vlasenko and Schnörr, C., ?Physically Consistent and Efficient Variational Denoising of Image Fluid Flow Estimates?, IEEE Trans. Image Proc., vol. 19, pp. 586-595, 2010.

R.  Chellappa and Machinery., Afor Comput, ?Proceedings - 7th Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2010?, ACM International Conference Proceeding Series. ACM, 2010.

C.  Rhemann, Rother, C., Wang, J., Gelautz, M., Kohli, P., and Rott, P., ?A perceptually motivated online benchmark for image matting?, in 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, 2009, vol. 2009 IEEE, pp. 1826?1833.

C.  Rhemann, Rother, C., Wang, J., Gelautz, M., Kohli, P., and Rott, P., ?A perceptually motivated online benchmark for image matting?, in 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, 2009, vol. 2009 IEEE, pp. 1826?1833.

C.  Rhemann, Rother, C., Wang, J., Gelautz, M., Kohli, P., and Rott, P., ?A perceptually motivated online benchmark for image matting?, in 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, 2009, vol. 2009 IEEE, pp. 1826?1833.

M.  Schmidt and Jähne, B., ?A physical model of Time-of-Flight 3D imaging systems, including suppression of ambient light?, in 3rd Workshop on Dynamic 3-D Imaging, 2009, vol. 5742, p. 1--15.

H.  Meine, Köthe, U., and Stelldinger, P., ?Pixel Approximation Errors in Common Watershed Algorithms?, in Discrete Geometry for Computer Imagery, 2009, vol. 5810, pp. 193-202.

H.  Meine, Köthe, U., and Stelldinger, P., ?Pixel Approximation Errors in Common Watershed Algorithms?, in Discrete Geometry for Computer Imagery, 2009, vol. 5810, pp. 193-202.

C.  Kondermann, ?Postprocessing and Restoration of Optical Flows?. IWR, Fakultät für Mathematik und Informatik, Univ.\ Heidelberg, 2009.

C.  Kondermann, ?Postprocessing and Restoration of Optical Flows?. IWR, Fakultät für Mathematik und Informatik, Univ. Heidelberg, 2009.

L.  Görlitz, Menze, B. H., Kelm, B. Michael, and Hamprecht, F. A., ?Processing Spectral Data?, Surface and Interface Analysis, vol. 41, pp. 636-644, 2009.

P.  Kohli, Shekhovtsov, A., Rother, C., Kolmogorov, V., and Torr, P., ?On partial optimality in multi-label MRFs?, in Proceedings of the 25th International Conference on Machine Learning, 2008, pp. 480?487.

P.  Sauer, ?Pattern Recognition on Statistically Textured Surfaces?, University of Heidelberg, 2008.

S.  Boppel, ?Peak Identification for Liquid Chromatography and Mass Spectrometry?, University of Heidelberg, 2008.

S.  Munder, Schnörr, C., and Gavrila, D. M., ?Pedestrian Detection and Tracking Using a Mixture of View-Based Shape-Texture Models?, IEEE Trans. Intell. Transp. Systems, vol. 9, pp. 333-343, 2008.

A.  Vlasenko and Schnörr, C., ?Physically Consistent Variational Denoising of Image Fluid Flow Estimates?, in Pattern Recognition -- 30th DAGM Symposium, 2008, vol. 5096, p. 406--415.

A.  Vlasenko and Schnörr, C., ?Physically Consistent Variational Denoising of Image Fluid Flow Estimates?, in Pattern Recognition ? 30th DAGM Symposium, 2008, vol. 5096, pp. 406?415.

T.  Geiler, ?Polarisationsbildgebung in der industriellen Qualitätskontrolle?. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2008.

C.  Kondermann, Kondermann, D., and Garbe, C. S., ?Postprocessing of optical flows via surface measures and motion inpainting?, in Pattern Recognition, 2008, vol. 5096, p. 355--364.

M.  Jäger and Hamprecht, F. A., ?Principal Component Imagery for the Quality Monitoring of Dynamic Laser Welding Processes?, IEEE Transactions on Industrial Electronics, vol. 56:4, pp. 1307-1313, 2008.

B.  Jähne, ?Prinzipien und Verfahren zur Aufnahme spektraler Bilddaten - Vereinfachte Bildanalyse?, QZ, vol. 53, p. 45--48, 2008.

F. A.  Hamprecht, Schnörr, C., and Jähne, B., Eds., ?Pattern Recognition ? 29th DAGM Symposium?, LCNS, vol. 4713. Springer, 2007.

F. A.  Hamprecht, Jähne, B., and Schnörr, C., Eds., Pattern Recognition, 29th DAGM Symposium, Heidelberg, Germany, September 12-14, 2007, Proceedings, vol. 4713. Springer, 2007.

C.  Schnörr and Jähne, B., ?Pattern Recognition, 29th DAGM Symposium, Heidelberg, Germany, September 12-14?, vol. 4713. Springer, 2007.

B. H.  Menze, ?Pattern Recognition in the Quantitative Analysis of Vector-Valued Image Data: Diagnostic Systems and Applications?. University of Heidelberg, 2007.

T.  Preusser, Droske, M., Garbe, C. S., Rumpf, M., and Telea, A., ?A phase field method for joint denoising, edge detection, and motion estimation in image sequence processing.?, SIAM Journal of Applied Mathematics, vol. 68, pp. 599-618, 2007.

U.  Baus, ?Phasenmessende Streifenreflektometrie mit Stereo-Monitor-Anordnung zur Vermessung von nicht stetigen spiegelnden Präzisionsflächen?, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2007.

J. François Lalonde, Hoiem, D., Efros, A. A., Rother, C., Winn, J., and Criminisi, A., ?Photo clip art?, in Proceedings of the ACM SIGGRAPH Conference on Computer Graphics, 2007.

S.  Trittler, ?Processing of Interferometric Data?. University of Heidelberg, 2007.

V.  Kolmogorov, Criminisi, A., Blake, A., Cross, G., and Rother, C., ?Probabilistic fusion of stereo with color and contrast for bilayer segmentation?, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, pp. 1480?1492, 2006.

S.  Humbert, ?Partikel-Verfolgung beim Laserschwei\DFen mit dem Kalman-Filter?, University of Heidelberg, 2005.

S.  Weber, Schüle, T., and Schnörr, C., ?Prior Learning and Convex-Concave Regularization of Binary Tomography?, Electr. Notes in Discr. Math., vol. 20, pp. 313-327, 2005.

C.  Schellewald and Schnörr, C., ?Probabilistic Subgraph Matching Based on Convex Relaxation?, in Proc. Int. Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR'05), 2005, vol. 3757, pp. 171-186.

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.

B.  Jähne, Practical Handbook on Image Processing for Scientific and Technical Applications, 2nd ed. CRC Press, 2004.

M.  Detert, Jirka, G. H., Jehle, M., Klar, M., Jähne, B., Köhler, H. - J., and Wenka, T., ?Pressure fluctuations within subsurface gravel bed caused by turbulent open-channel flow?, in Proc. of River Flow 2004, 2004, pp. 695-701.

D.  Heck, ?Proximity Graphs for Nonlinear Dimension Reduction?, University of Heidelberg, 2004.

C.  Schellewald, Roth, S., and Schnörr, C., ?Performance Evaluation of a Convex Relaxation Approach to the Quadratic Assignment of Relational Object Views?, Dept. Math. and Comp. Science, University of Mannheim, Germany, 02/2002, 2002.

H.  Haußecker, Schimpf, U., Garbe, C. S., and Jähne, B., ?Physics from IR image sequences: Quantitative analysis of transport models and parameters of air-sea gas transfer?, in Gas Transfer at Water Surfaces, 2002, vol. 127, p. 103--108.

C.  Rother, Carlsson, S., and Tell, D., ?Projective factorization of planes and cameras in multiple views?, in Proceedings - International Conference on Pattern Recognition, 2002, vol. 16, pp. 737?740.

F. A.  Hamprecht, Jost, D., Rüttimann, M., Calamai, F., and Kowalski, J. J., ?Preliminary results on the prediction of countershock success with fibrillation power?, Resuscitation, vol. 50, pp. 297-299, 2001.

D.  Engelmann, Stöhr, M., Garbe, C. S., Hering, F., and Jähne, B., ?Particle-tracking velocimetry?, Computer Vision and Applications - A Guide for Students and Practitioners. Academic Press, pp. 646-647, 2000.

J.  Weickert and Schnörr, C., ?PDE?Based Preprocessing of Medical Images?, Künstliche Intelligenz, vol. 3, pp. 5?10, 2000.

B.  Jähne and Haußecker, H., ?Performance characteristics of low-level motion estimation in spatiotemporal images?, Performance Characterization in Computer Vision. Kluwer, Dordrecht, pp. pp. 139-152, 2000.

W.  Peckar, Schnörr, C., Rohr, K., and Stiehl, H. ?S., ?Parameter-Free Elastic Deformation Approach for 2D and 3D Registration Using Prescribed Displacements?, J. Math. Imaging and Vision, vol. 10, pp. 143?162, 1999.

D.  Engelmann, Stöhr, M., Garbe, C. S., Hering, F., Jähne, B., Haußecker, H., and Geißler, P., ?Particle-tracking velocimetry?, Handbook of Computer Vision and Applications, vol. 3: Systems and Applications. Academic Press, pp. 663-697, 1999.

D.  Schmund, Schurr, U., Jähne, B., Haußecker, H., and Geißler, P., ?Plant-leaf growth studied by image sequence analysis?, Handbook of Computer Vision and Applications, vol. 3: Systems and Applications. Academic Press, pp. 719-735, 1999.

B.  Jähne, Scharr, H., Körkel, S., Jähne, B., Haußecker, H., and Geißler, P., ?Principles of Filter Design?, Handbook of Computer Vision and Applications, vol. 2. Academic Press, p. 125--151, 1999.

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.

M.  Marxen, ?Particle Image Velocimetry in Strömungen mit starken Geschwindigkeitsgradienten?, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1998.

F.  Hering, Wierzimok, D., Leue, C., and Jähne, B., ?Particle tracking velocimetry beneath water waves. part II : water waves?, Exp. Fluids, vol. 24, pp. 10-16, 1998.

F.  Hering, Wierzimok, D., Leue, C., and Jähne, B., ?Particle tracking velocimetry beneath water waves. Part I: visualization and tracking algorithms?, Exp. Fluids, vol. 23, p. 472--482, 1997.

B.  Jähne and Förstner, W., ?Performance characteristics of low-level motion estimators in spatiotemporal images?, in DAGM-Workshop Performance Characteristics and Quality of Computer Vision Algorithms, Braunschweig, September 18, 1997, 1997.

B.  Jähne, Practical Handbook on Image Processing for Scientific Applications. CRC-Press, Boca Raton, FL, USA, 1997.

F.  Hering, Merle, M., Wierzimok, D., and Jähne, B., ?Particle tracking in space time sequences?, in Computer Analysis of Images and Patterns, 1995, vol. 970, p. 294--301.

B.  Jähne, ?Physics and chemistry of gas exchange on the ocean surface?. 1989.

B.  Jähne, Münnich, K. O., Bösinger, R., Dutzi, A., Huber, W. A., and Libner, P., ?On the parameters influencing air-water gas exchange?, J. Geophys. Res., vol. 92, p. 1937--1950, 1987.

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.