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K. Wiehler, Heers, J., Schnörr, C., Stiehl, H. –S., and Grigat, R. –R., “A 1D analog VLSI implementation for non-linear real-time signal preprocessing”, Real–Time Imaging, vol. 7, pp. 127–142, 2001.

V. Beushausen, Roetmann, K., Schmunk, W., Wellhausen, M., Garbe, C. S., and Jähne, B., “2D-measurement technique for simultaneous quantitative determination of mixing ratio and velocity field in microfluidic applications”, Imaging Measurement Methods for Flow Analysis, Results of the DFG Priority Programme 1147 Imaging Measurement Methods for Flow Analysis 2003-2009, vol. 106. Springer, p. 155--164, 2009.

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.

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.

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”, APPITA Journal, vol. 61, p. 244--249, 2008.

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.

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.

L. Görlitz, Hamprecht, F. A., and Staudacher, M., “Allocation of particles to development processes”, Patent, 2009.

Technical Report (406.7 KB)

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.

H. Spies, Gröning, H., Haußecker, H., Jähne, B., and Haußecker, H., “Analyzing particle movements at soil interfaces”, Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press, p. 648--649, 2000.

H. Spies, Beringer, O., Gröning, H., Haußecker, H., Jähne, B., Haußecker, H., and Geißler, P., “Analyzing particle movements at soil interfaces”, Handbook of Computer Vision and Applications, vol. 3: Systems and Applications. Academic Press, pp. 699-718, 1999.

P. Geißler, Jähne, B., Jähne, B., and Haußecker, H., “Analyzing size spectra of oceanic air bubbles”, Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press, p. 634--635, 2000.

N. Gianniotis, Schnörr, C., Molkenthin, C., and Bora, S. S., “Approximate variational inference based on a finite sample of Gaussian latent variables”, Patt.~Anal.~Appl., 2015.

Technical Report (1.4 MB)

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.

C. Schnörr, “Assignment Flows”, Variational Methods for Nonlinear Geometric Data and Applications. Springer, 2019.

C. Schnörr, “Assignment Flows”, Handbook of Variational Methods for Nonlinear Geometric Data. Springer, p. 235—260, 2020.

D. Gonzalez-Alvarado, Zeilmann, A., and Schnörr, C., “Assignment Flows and Nonlocal PDEs on Graphs”, GCPR, in press. 2021.

A. - S. Wahl, Omlor, W., Rubio, J. C., Chen, J. L., Zheng, H., Schröter, A., Gullo, M., Weinmann, O., Kobayashi, K., Helmchen, F., Ommer, B., and Schwab, M. E., “Asynchronous Therapy Restores Motor Control by Rewiring of the Rat Corticospinal Tract after Stroke”, Science, vol. 344, p. 1250--1255, 2014.

B. Jähne, “Atmosphere-water exchange”, Transport and Fate of Chemicals in the Environment --- selected Entries from the Encyclopedia of Sustainability Science and Technology, vol. 1. Springer, p. 175--193, 2012.

H. Abu Alhaija, Mustikovela, S. Karthik, Mescheder, L., Geiger, A., and Rother, C., “Augmented Reality Meets Computer Vision”, International Journal of Computer Vision, vol. In press, pp. 1–13, 2018.

H. Abu Alhaija, Mustikovela, S. K., Mescheder, A., Geiger, C., and Rother, C., “Augmented Reality Meets Computer Vision Efficient Data Generation for Urban Driving Scenes”, IJCV, pp. 1-12, 2018.

Technical Report (3.83 MB)

H. Abu Alhaija, Mustikovela, S. Karthik, Mescheder, L., Geiger, A., and Rother, C., “Augmented Reality Meets Computer Vision: Efficient Data Generation for Urban Driving Scenes”, International Journal of Computer Vision, vol. 126, pp. 961–972, 2018.

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.

R. Mikut, Dickmeis, T., Driever, W., Geurts, P., Hamprecht, F. A., Kausler, B. X., Ledesma-Carbayo, M., Marée, R., Mikula, K., Pantazis, P., Ronneberger, O., Santos, A., and Stotzka, R., “Automated Processing of Zebrafish Imaging Data: A Survey”, Zebrafish, vol. 10 (3), 2013.

Technical Report (1.73 MB)

A. Kreshuk, Walecki, R., Köthe, U., Gierthmühlen, M., Plachta, D., Genoud, C., Haastert-Talini, K., and Hamprecht, F. A., “Automated Tracing of Myelinated Axons and Detection of the Nodes of Ranvier in Serial Images of Peripheral Nerves”, Journal of Microscopy, vol. 259 (2), pp. 143-154, 2015.

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