R.  Rombach, Esser, P., and Ommer, B., ?Network Fusion for Content Creation with Conditional INNs?, in CVPRW 2020 (AI for Content Creation), 2020.

R.  Rombach, Esser, P., and Ommer, B., ?Network-to-Network Translation with Conditional Invertible Neural Networks?,  Neural Information Processing Systems (NeurIPS) (Oral). 2020.

P.  Esser, Rombach, R., and Ommer, B., ?A Note on Data Biases in Generative Models?, in NeurIPS 2020 Workshop on Machine Learning for Creativity and Design, 2020.

E.  Brachmann and Rother, C., ?Neural-guided RANSAC: Learning where to sample model hypotheses?, in Proceedings of the IEEE International Conference on Computer Vision, 2019, vol. 2019-Octob, pp. 4321?4330.

A.  Ravindran, ?Novel Deep Learning-based Instance Segmentation Using Mutex Watershed for Microscopy Cell Images?, Heidelberg University, 2019.

E.  Kirschbaum, ?Novel Machine Learning Approaches for Neurophysiological Data Analysis?. Heidelberg University, 2019.

N.  Krasowki, Beier, T., Knott, G. W., Köthe, U., Hamprecht, F. A., and Kreshuk, A., ?Neuron Segmentation with High-Level Biological Priors?, IEEE Transactions on Medical Imaging, vol. 37, no. 4, 2017.

F.  Savarino, Hühnerbein, R., Aström, F., Recknagel, J., and Schnörr, C., ?Numerical Integration of Riemannian Gradient Flows for Image Labeling?, in Proc. SSVM, 2017, vol. 10302.

B.  Jähne and Schwarzbauer, M., ?Noise equalisation and quasi loss-less image data compression ? or how many bits needs an image sensor??, tm ? Technisches Messen, vol. 83, pp. 16?24, 2016.

M.  Zisler, Kappes, J. H., Schnörr, C., Petra, S., and Schnörr, C., ?Non-Binary Discrete Tomography by Continuous Non-Convex Optimization?, IEEE Comp. Imaging, vol. 2, pp. 335-347, 2016.

J.  Stapf, ?Novel learning-based techniques for dense fluid motion measurements?. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2015.

G.  Urban, ?Neural Networks: Optimization and Applications?, University of Heidelberg, 2014.

P.  Márquez-Neila, Kohli, P., Rother, C., and Baumela, L., ?Non-parametric higher-order random fields for image segmentation?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, vol. 8694 LNCS, pp. 269?284.

P.  Bell, Schlecht, J., and Ommer, B., ?Nonverbal Communication in Medieval Illustrations Revisited by Computer Vision and Art History?, Visual Resources Journal, Special Issue on Digital Art History, vol. 29, p. 26--37, 2013.

B.  Goldlücke, Strekalovskiy, E., and Cremers, D., ?The natural vectorial total variation which arises from geometric measure theory?, SIAM Journal on Imaging Sciences, 2012.

B.  Goldlücke, Strekalovskiy, E., and Cremers, D., ?The Natural Vectorial Total Variation which Arises from GeometricMeasure Theory?, SIAM Journal on Imaging Sciences, vol. 5, pp. 537-563, 2012.

B.  Jähne, ?Neuerungen zum EMVA Standard 1288, Der Release 3.1 des etablierten Standards zur Kameracharakterisierung?. 2012.

J.  Jancsary, Nowozin, S., and Rother, C., ?Non-parametric crfs for image labeling?, in NIPS Workshop Modern Nonparametric Methods in Machine Learning, 2012, pp. 1?5.

B.  Voss, ?Novel Single Camera Techniques for 3D3C Lagrangian Trajectory Measurements in Interfacial Flows?. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2012.

D.  Singaraju, Rother, C., and Rhemann, C., ?New appearance models for natural image matting?, 2010, pp. 659?666.

B.  Voss, Heinlein, A., Jähne, B., and Garbe, C. S., ?A new approach for 3C3D measurements of aqueous boundary layer flows relative to the wind-wave undulated interface?, in 6th Int. Symp. Gas Transfer at Water Surfaces, Kyoto, May 17--21, 2010, 2010.

B.  Voss and Garbe, C. S., ?Novel strategy for water sided interfacial 3D3Cflow-visualization using a single camera?, in 14th International Symposium on Flow Visualization, 2010, pp. D1-018.

S.  Trittler and Hamprecht, F. A., ?Near-Optimum Sampling Design and an Efficient Algorithm for Single Tone Frequency Estimation?, Digital Signal Processing, vol. 19, pp. 628-639, 2009.

D.  Singaraju, Rother, C., and Rhemann, C., ?New appearance models for natural image matting?, in 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, 2009, vol. 2009 IEEE, pp. 659?666.

K. E.  Richter and Jähne, B., ?New schemes for fast measurements of air-sea gas exchange in the Aeolotron lab?, in Poster abstracts SOLAS Open Science Conference, Barcelona, 16--19 Sep. 2009, 2009.

K.  Mbock, ?A Novel Algorithm for Motion Estimation with Explicit Consideration of Perturbations?, University of Heidelberg, 2009.

B. Y.  Renard, Kirchner, M., Steen, H., Steen, J. A. J., and Hamprecht, F. A., ?NITPICK: Peak Identification for Mass Spectrometry Data?, BMC Bioinformatics, vol. 9, p. 355, 2008.

C. S.  Garbe, Krajsek, K., Pavlov, P., Andres, B., Mühlich, M., Stuke, I., Mota, C., Böhme, M., Haker, M., Schuchert, T., Scharr, H., Aach, T., and Barth, E., ?Nonlinear Analysis of Multi-Dimensional Signals?, Mathematical Methods in Signal Processing and Digital Image Analysis. Springer, pp. 231-288, 2008.

C. S.  Garbe, Krajsek, K., Pavlov, P., Andres, B., Mühlich, M., Stuke, I., Mota, C., Böhme, M., Haker, M., Schucher, T., Scharr, H., Aach, T., and Barth, E., ?Nonlinear analysis of multi-dimensional signals: local adaptive estimation of complex motion and orientation patterns?, Mathematical Methods in Time Series Analysis and Digital Image Processing. Springer, pp. 231-288, 2008.

M.  Jehle and Jähne, B., ?A novel method for three-dimensional three-component analysis of flow close to free water surfaces?, Exp. Fluids, vol. 44, p. 469--480, 2008.

C.  Sigg, Fischer, B., Ommer, B., Roth, V., and Buhmann, J. M., ?Nonnegative CCA for Audiovisual Source Separation?, in International Workshop on Machine Learning for Signal Processing, 2007, p. 253--258.

M.  Jehle and Jähne, B., ?A novel method for spatio-temporal analysis of flows within the water-side viscous boundary layer?, in 12th Intern. Symp. on Flow Visualization, Göttingen, 10--14. September 2006, 2006.

M.  Heiler and Schnörr, C., ?Natural Image Statistics for Natural Image Segmentation?, Int. J. Comp. Vision, vol. 63, pp. 5?19, 2005.

J.  Restle, Hissmann, M., and Hamprecht, F. A., ?Nonparametric Smoothing of Height maps using ``Confidence'' values?, Optical Engineering, vol. 43, pp. 866-871, 2004.

M.  Heiler and Schnörr, C., ?Natural Statistics for Natural Image Segmentation?, in Proc. IEEE Int. Conf. Computer Vision (ICCV 2003), Nice, France, 2003, pp. 1259-1266.

H.  Eisele and Hamprecht, F. A., ?A new approach for defect detection in X-ray CT images?, Pattern Recognition, vol. 2449. Springer, pp. 345-352, 2003.

C.  Rother, ?A new approach to vanishing point detection in architectural environments?, in Image and Vision Computing, 2002, vol. 20, pp. 647?655.

D.  Cremers, Kohlberger, T., and Schnörr, C., ?Nonlinear Shape Statistics in Mumford-Shah Based Segmentation?, in Computer Vision -- ECCV 2002), 2002, vol. 2351, p. 93--108.

D.  Cremers, Kohlberger, T., and Schnörr, C., ?Nonlinear Shape Statistics in Mumford-Shah Based Segmentation?, in Computer Vision ? ECCV 2002), 2002, vol. 2351, pp. 93?108.

U.  Schimpf, Garbe, C. S., and Jähne, B., ?Novel insights into heat transfer across the aqueous boundary layer by infrared imagery and its application to air-sea exchange processes?, in Proceedings of Eurotherm 71 on Visualization, Imaging and Data Analysis In Convective Heat and Mass Transfer, 2002.

D.  Cremers, Kohlberger, T., and Schnörr, C., ?Nonlinear Shape Statistics via Kernel Spaces?, in Mustererkennung 2001, 2001, vol. 2191, p. 269--276.

D.  Cremers, Kohlberger, T., and Schnörr, C., ?Nonlinear Shape Statistics via Kernel Spaces?, in Mustererkennung 2001, Munich, Germany, 2001, vol. 2191, pp. 269?276.

E.  Schulzke, ?Numerische Simulation von elementaren Kalziumfreisetzungsereignissen und photolytische Ca^2+-Freisetzung aus Käfigmolekülen mittels Picosekundenlaser?, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2001.

B.  Jähne, Jähne, B., and Haußecker, H., ?Neighborhood operators?, Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press, p. 273--345, 2000.

C.  Leue, Wenig, M., Platt, U., Jähne, B., and Haußecker, H., ?NOX Emissions Retrieved from Satellite Images?, Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press, p. 654--655, 2000.

B.  Jähne, Jähne, B., and Haußecker, H., ?Neighborhood operators?, Handbook of Computer Vision and Applications. Volume II: Signal Processing and Pattern Recognition. Academic Press, p. 93--124, 1999.

W.  Peckar, Schnörr, C., Rohr, K., and Stiehl, H. S., ?Non-Rigid Image Registration Using a Parameter-Free Elastic Model?, in 9th British Machine Vision Conference (BMVC`98), Southampton/UK, 1998, pp. 134?143.

H.  Scharr, Körkel, S., and Jähne, B., ?Numerische Isotropieoptimierung von FIR-Filtern mittels Querglättung?, in Proceedings of the 19th DAGM Symposium on Pattern Recognition, Braunschweig, 1997, p. 199--208.

F.  Hering, Balschbach, G., Jähne, B., and Waldhäusl, P., ?A novel system for the combined measurement of wave- and flow-fields beneath wind induced water waves?, in Proc. 18th Int. Congr. for Photogrammetry and Remote Sensing, 1996, vol. 31, p. 231--236.

J.  Klinke and Jähne, B., ?A new instrument for the optical measurement of the fine structure of the water surface in the field?, in IAPSO Proceedings, XXI General Assembly, Honolulu, Hawai, August 1995, PS-10 Spatial Structure of Short Ocean Waves, 1995, p. 388.

G.  Balschbach, Menzel, M., and Jähne, B., ?A new instrument to measure steep wind-waves?, in IAPSO Proceedings, XXI General Assembly, Honolulu, Hawai, August 1995, PS-10 Spatial Structure of Short Ocean Waves, 1995, p. 387.

T.  Scholz, Jähne, B., Suhr, H., Wehnert, G., Geißler, P., and Schneider, K., ?A new depth from focus technique for in situ determination of cell concentration in bioreactors?, in Proc. 16. DAGM-Symposium Mustererkennung, 1994, p. 145--150.

C.  Schnörr and Sprengel, R., ?A Nonlinear Regularization Approach to Early Vision?, Biol. Cybernetics, vol. 72, pp. 141?149, 1994.

B.  Jähne, ?New trends in image processing hard- and software?, in Proceedings Image Analysis for Pulp and Paper Research and Production, 1993, p. 1--12.

R.  Sprengel and Schnörr, C., ?Nichtlineare Diffusion zur Integration visueller Daten - Anwendung auf Kernspintomogramme?, in Mustererkennung 1993, 15. DAGM-Symposium, 1993, pp. 134?141.

B.  Jähne, ?New experimental results on the parameters influencing air-sea gas exchange?, in Air-Water Mass Transfer, selected papers from the 2nd International Symposium on Gas Transfer at Water Surfaces, September 11--14, 1990, Minneapolis, Minnesota, 1991, p. 582--592.

B.  Jähne, ?Neue Ansätze zur Bildfolgenanalyse?, in Proc. 9. DAGM-Symposium zur Mustererkennung 1987, 1987, vol. 149, p. 287.

B.  Jähne, Wais, T., and Barabas, M., ?A new optical bubble measuring device; a simple model for bubble contribution to gas exchange?, in Gas transfer at water surfaces, 1984, p. 237--246.