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Book
B. Jähne, Geißler, P., and Haußecker, H., Handbook of Computer Vision and Applications. Academic Press, 1999.
B. Jähne, Geißler, P., and Haußecker, H., Mustererkennung 1996, 18. DAGM-Symposium Heidelberg, 11.–13. September 1996. Springer, 1996.
B. Jähne, Transport at the Air Sea Interface --- Measurements, Models and Parameterizations. Springer, 2007.
Book Chapter
M. Stöhr, Garbe, C. S., Engelmann, D., Geißler, P., Gomes, S., Hering, F., Jähne, B., Keil, F., Mackens, W., Voß, H., and Wagner, H. - G., “4D particle tracking velocimetry applied to gas-liquid reactors”, in In Scientific Computing in Chemical Engineering II - Simulation, Image Processing, Optimization and Control., J. Werther, Ed. Springer Verlag, 1999, p. 270--279.
M. Stöhr, Garbe, C. S., Engelmann, D., Geißler, P., Gomes, S., Hering, F., Jähne, B., Keil, F., Mackens, W., Voß, H., and Wagner, H. - G., “4D particle tracking velocimetry applied to gas-liquid reactors”, in In Scientific Computing in Chemical Engineering II - Simulation, Image Processing, Optimization and Control., J. Werther, Ed. Springer Verlag, 1999, p. 270--279.
M. Stöhr, Garbe, C. S., Engelmann, D., Geißler, P., Gomes, S., Hering, F., Jähne, B., Keil, F., Mackens, W., Voß, H., and Wagner, H. - G., “4D particle tracking velocimetry applied to gas-liquid reactors”, in In Scientific Computing in Chemical Engineering II - Simulation, Image Processing, Optimization and Control., J. Werther, Ed. Springer Verlag, 1999, p. 270--279.
U. Schimpf, Frew, N. M., Jähne, B., and Hühnerfuss, H., “Infrared imaging: a novel tool to investigate the influence of surface slicks on air-sea gas transfer”, M. Gade and Korenowski, G. M., Eds. Springer, 2005, pp. 239-252.
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.PDF icon Technical Report (928 KB)
D. Kondermann, Nair, R., Meister, S., Mischler, W., Güssefeld, B., Honauer, K., Hofmann, S., Brenner, C., and Jähne, B., “Stereo Ground Truth with Error Bars”, in Computer Vision – ACCV 2014: 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part V, Cham: Springer International Publishing, 2015, pp. 595–610.
Conference Paper
K. Roetmann, Garbe, C. S., and Beushausen, V., “2D-Molecular Tagging Velocimetry zur Analyse Mikrofluidischer Strömungen”, in Tagungsband Lasermethoden in der Strömungsmesstechnik (GALA), 2005, p. 26/1--26/10.
P. Geißler, Jähne, B., and Waldhäusl, P., “A 3D-sensor for the measurement of particle concentration from image sequences”, in Proc. 18th Int. Congr. for Photogrammetry and Remote Sensing, 1996, vol. 31, p. 194--199.
D. Banerjee, Garbe, C. S., Schimpf, U., Jähne, B., and Schabel, S., “An active thermographic technique for highly resolved heat transport measurements in paper drying”, in 61st Appita Annual Conference Proceedings, 2007, pp. 161-167.
C. Kondermann, Kondermann, D., Jähne, B., Garbe, C. S., Schnörr, C., and Jähne, B., “An adaptive confidence measure for optical flows based on linear subspace projections”, in Proceedings of the 29th DAGM Symposium on Pattern Recognition, 2007, vol. 4713, p. 132--141.
E. Bodnariuc, Gurung, A., Petra, S., and Schnörr, C., “Adaptive Dictionary-Based Spatio-temporal Flow Estimation for Echo PIV”, in Proc.~EMMCVPR, 2015, vol. 8932, p. 378--391.PDF icon Technical Report (951.37 KB)
E. Bodnariuc, Gurung, A., Petra, S., and Schnörr, C., “Adaptive Dictionary-Based Spatio-temporal Flow Estimation for Echo PIV”, in EMMCVPR, 2015.
B. Jähne, Nielsen, R., Popp, C., Schimpf, U., and Garbe, C. S., “Air-Sea Gas Transfer; Schmidt Number dependency and intermittency”, in Presented at: International Liege Colloquium on Ocean Dynamics, Gas Transfer at Water Surfaces, 2005.
C. S. Garbe, Banerjee, D., Schimpf, U., and Jähne, B., “Aktive Thermografie für die Untersuchung von Transportprozessen”, in Thermografie-Kolloquium, 2007, p. 1--8.
K. Roetmann, Schmunk, W., Garbe, C. S., and Beushausen, V., “Analyse Mikrofluidischer Strömungen mit Molecular Tagging Velocimetry und Planarer Ramanstreuung”, in Tagungsband Lasermethoden in der Strömungsmesstechnik, 2006.
O. Hosseini Jafari, Groth, O., Kirillov, A., Yang, M. Ying, and Rother, C., “Analyzing modular CNN architectures for joint depth prediction and semantic segmentation”, in Proceedings - IEEE International Conference on Robotics and Automation, 2017, pp. 4620–4627.
B. Güssefeld, Kondermann, D., Schwartz, C., and Klein, R., “Are reflectance field renderings appropriate for optical flow evaluation?”, in International Conference on Image Processing, ICIP 2014, 2014.
H. Abu Alhaija, Mustikovela, S. Karthik, Mescheder, L., Geiger, A., and Rother, C., “Augmented reality meets deep learning for car instance segmentation in urban scenes”, in British Machine Vision Conference 2017, BMVC 2017, 2017.
D. Bister, Rohr, K., and Schnörr, C., “Automatische Bestimmung der Trajektorien von sich bewegenden Objekten aus einer Grauwertbildfolge”, in Mustererkennung 1990, 12. DAGM-Symposium, Oberkochen-Aalen, 1990, vol. 254, pp. 44–51.
P. Vincent Gehler, Rother, C., Blake, A., Minka, T., and Sharp, T., “Bayesian color constancy revisited”, in 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2008.
J. Giebel, Gavrila, D. M., and Schnörr, C., “A Bayesian Framework for Multi-cue 3D Object Tracking”, in Computer Vision – ECCV 2004, 2004, vol. 3024, pp. 241-252.
J. Giebel, Gavrila, D. M., and Schnörr, C., “A Bayesian Framework for Multi-cue 3D Object Tracking”, in Computer Vision – ECCV 2004, 2004, vol. 3024, pp. 241-252.
A. Behl, Hosseini Jafari, O., Mustikovela, S. Karthik, Abu Alhaija, H., Rother, C., and Geiger, A., “Bounding Boxes, Segmentations and Object Coordinates: How Important is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios?”, in Proceedings of the IEEE International Conference on Computer Vision, 2017, vol. 2017-Octob, pp. 2593–2602.
A. Behl, Hosseini Jafari, O., Mustikovela, S. Karthik, Abu Alhaija, H., Rother, C., and Geiger, A., “Bounding Boxes, Segmentations and Object Coordinates: How Important is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios?”, in Proceedings of the IEEE International Conference on Computer Vision, 2017, vol. 2017-Octob, pp. 2593–2602.
R. Mackowiak, Lenz, P., Ghori, O., Diego, F., Lange, O., and Rother, C., “CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation”, in British Machine Vision Conference 2018, BMVC 2018, 2019.
M. Geese, Ruhnau, P., and Jähne, B., “CNN based dark signal non-uniformity estimation”, in Cellular Nanoscale Networks and Their Applications (CNNA), 2012 13th International Workshop on, 2012, p. 1--6.
F. Hering, Haußecker, H., Dieter, J., Netzsch, T., and Jähne, B., “A comprehensive study of algorithms for multidimensional flow field diagnostics”, in Proc. Optical 3D Measurement Techniques IV, Zurich, Sept. 29 - Oct. 2, 1997, 1997, p. 436--443.
K. Fundana, Heyden, A., Gosch, C., and Schnörr, C., “Continuous Graph Cuts for Prior-Based Object Segmentation”, in 19th Int.~Conf.~Patt.~Recog.~(ICPR), 2008, p. 1--4.PDF icon Technical Report (414.89 KB)
B. Güssefeld, Honauer, K., and Kondermann, D., “Creating Feasible Reflectance Data for Synthetic Optical Flow Datasets”, in Advances in Visual Computing - 12th International Symposium, {ISVC} 2016, Las Vegas, NV, USA, December 12-14, 2016, Proceedings, Part {I}, 2016.
K. Honauer, Johannsen, O., Kondermann, D., and Goldlücke, B., “A Dataset and Evaluation Methodology for Depth Estimation on 4D Light Fields”, in Computer Vision - ACCV 2016 : 13th Asian Conference on Computer Vision, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part III, Cham, 2016.
S. Wanner, Meister, S., and Goldlücke, B., “Datasets and Benchmarks for Densely Sampled 4D Light Fields”, in Vision, Modeling & Visualization, 2013, p. 225--226.
F. Lenzen, Kim, K. I., Schäfer, H., Nair, R., Meister, S., Becker, F., and Garbe, C. S., “Denoising Strategies for Time-of-Flight Data”, in Time-of-Flight Imaging: Algorithms, Sensors and Applications, 2013, vol. 8200, pp. 24-25.

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