D.  Kotovenko, Wright, M., Heimbrecht, A., and Ommer, B., ?Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes?, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2021.

A.  Bhowmik, Gumhold, S., Rother, C., and Brachmann, E., ?Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task?, in CVPR 2020 (oral), 2020.

K.  Roth, Milbich, T., Sinha, S., Gupta, P., Ommer, B., and Cohen, J. Paul, ?Revisiting Training Strategies and Generalization Performance in Deep Metric Learning?, International Conference on Machine Learning (ICML). 2020.

A.  Bhowmik, Gumhold, S., Rother, C., and Brachmann, E., ?Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task?, 2019.

J.  Li, ?Robust Single Object Tracking via Fully Convolutional Siamese Networks?, Heidelberg University, 2019.

S.  Lang and Ommer, B., ?Reconstructing Histories: Analyzing Exhibition Photographs with Computational Methods?, Arts, Computational Aesthetics, vol. 7, 64, no. 64, 2018.

S.  Lang and Ommer, B., ?Reflecting on How Artworks Are Processed and Analyzed by Computer Vision?, European Conference on Computer Vision (ECCV - VISART). Springer, 2018.

A.  Vianello, Ackermann, J., Diebold, M., and Jähne, B., ?Robust Hough transform based 3D reconstruction from circular light fields?, in Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

D.  Massiceti, Krull, A., Brachmann, E., Rother, C., and Torr, P. H. S., ?Random Forests versus Neural Networks ? What's best for camera location?. 2017.

A.  Vianello, ?Robust 3D Surface Reconstruction from Light Fields?, vol. Dissertation. IWR, Univ. Heidelberg, 2017.

O.  Hosseini Jafari and Yang, M. Ying, ?Real-time RGB-D based template matching pedestrian detection?, in Proceedings - IEEE International Conference on Robotics and Automation, 2016, vol. 2016-June, pp. 5520?5527.

N.  von Schmude, Lothe, P., and Jähne, B., ?Relative Pose Estimation from Straight Lines using Parallel Line Clustering and its Application to Monocular Visual Odometry?, in Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2016.

R.  Nair, Fitzgibbon, A., Kondermann, D., and Rother, C., ?Reflection modeling for passive stereo?, in Proceedings of the IEEE International Conference on Computer Vision, 2015, vol. 2015 Inter, pp. 2291?2299.

J. C.  Rubio and Ommer, B., ?Regularizing Max-Margin Exemplars by Reconstruction and Generative Models?, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015, p. 4213--4221.

A.  Eigenstetter, Takami, M., and Ommer, B., ?Randomized Max-Margin Compositions for Visual Recognition?, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014, p. 3590--3597.

J.  Esparza, Vepa, L., Helmle, M., and Jähne, B., ?Registration of a multi-camera system with a 3D laser range finder?, in 9th Workshop Driver Assistance Systems (FAS2014), 26.-28.03.2014, Walting, 2014, p. 37--46.

X.  He, Wang, H., Zhang, F., Wang, G., and Zhou, K., ?Robust Simulation of Small-Scale Thin Features in SPH-based Free Surface Flows?, Life.Kunzhou.Net, vol. 1, pp. 1?8, 2014.

S.  Wanner and Goldlücke, B., ?Reconstructing Reflective and Transparent Surfaces from Epipolar Plane Images?, Pattern Recognition. Springer, p. 1--10, 2013.

B.  Ommer, ?The Role of Shape in Visual Recognition?, in Shape Perception in Human Computer Vision: An Interdisciplinary Perspective, Springer, 2013, p. 373--385.

J.  Jancsary, Nowozin, S., Sharp, T., and Rother, C., ?Regression Tree Fields An efficient, non-parametric approach to image labeling problems?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2012, pp. 2376?2383.

J.  Jancsary, Nowozin, S., Sharp, T., and Rother, C., ?Regression Tree Fields An efficient, non-parametric approach to image labeling problems?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2012, pp. 2376?2383.

J. M.  A?lvarez, Gevers, T., Diego, F., and Lo?pez, A. M., ?Road Geometry Classification by Adaptive Shape Models?, IEEE Transactions on Intelligent Transportation Systems (ITS), vol. 99, pp. 1-10, 2012.

B.  Antic and Ommer, B., ?Robust Multiple-Instance Learning with Superbags?, in Proceedings of the Aian Conference on Computer Vision (ACCV) (Oral), 2012, p. 242--255.

A.  Monroy, Carque, B., and Ommer, B., ?Reconstructing the Drawing Process of Reproductions from Medieval Images?, in Proceedings of the International Conference on Image Processing, 2011, p. 2974--2977.

P. Vincent Gehler, Rother, C., Kiefel, M., Zhang, L., and Schölkopf, B., ?Recovering intrinsic images with a global sparsity prior on reflectance?, in Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011, 2011.

J.  Lellmann and Schnörr, C., ?Regularizers for Vector-Valued Data and Labeling Problems in Image Processing?, Control Systems and Computers, vol. 2, pp. 43?54, 2011.

P.  Yarlagadda, Monroy, A., Carque, B., and Ommer, B., ?Recognition and Analysis of Objects in Medieval Images?, in Proceedins of the Aian Conference on Computer Vision, Workshop on e-Heritage, 2010, p. 296--305.

D.  Breitenreicher and Schnörr, C., ?Robust 3D object registration without explicit correspondence using geometric integration?, Machine Vision and Applications, vol. 21, pp. 601-611, 2010.

D.  Breitenreicher and Schnörr, C., ?Robust 3D object registration without explicit correspondence using geometric integration?, Machine Vision and Applications, vol. 21, pp. 601-611, 2010.

B. Y.  Renard, ?Robust Methods for the Proteomic Data Analysis Pipeline?. University of Heidelberg, 2010.

B.  Andres, Köthe, U., Kröger, T., and Hamprecht, F. A., ?Runtime-Flexible Multi-dimensional Views and Arrays for C++98 and C++0x?, ArXiv e-prints, 2010.

M.  Erz and Jähne, B., ?Radiometric and spectrometric calibrations, and distance noise measurement of TOF cameras?, in 3rd Workshop on Dynamic 3-D Imaging, 2009, vol. 5742, p. 28--41.

A.  Grützmann, ?Reconstruction of Moving Surfaces of Revolution from Sparse 3-D Measurements using a Stereo Camera and Structured Light?. IWR, Fakultät für Mathematik und Informatik, Univ.\ Heidelberg, 2009.

M.  Schmidt, Jehle, M., and Jähne, B., ?Range flow estimation based on photonic mixing device data?, Int. J. Intelligent Systems Technologies and Applications, vol. 5, p. 380--392, 2008.

U.  Köthe, ?Reliable Low-Level Image Analysis?, Habilitation thesis. Department Informatik, University of Hamburg, Hamburg, 2008.

T.  König, Menze, B. H., Kirchner, M., Monigatti, F., Parker, K. C., Patterson, T., Steen, J. J., Hamprecht, F. A., and Steen, H., ?Robust Prediction of the MASCOT Score for an Improved Quality Assessment in Mass Spectrometric Proteomics?, Journal of Proteome Research, vol. 7, pp. 3708-3717, 2008.

M.  Schmidt, Jehle, M., and Jähne, B., ?Range flow estimation based on photonic mixing device data?, in Proc.\ Dyn3D Workshop, Heidelberg, Sept. 11, 2007, 2007.

D.  Withopf, ?Reliable Real-Time Vehicle Detection and Tracking?. IWR, Fakultät für Mathematik und Informatik, Univ.\ Heidelberg, 2007.

B.  Saussen, ?Retention Time Domain Registration of Liquid Chromatography/Mass Spectrometry Data?, University of Heidelberg, 2007.

H.  Zhang, Hamprecht, F. A., and Amann, A., ?Report about VOCs Dataset's Analysis based on Random Forests?, in Proceedings of the HPC-Asia05, 2005, pp. 603-607.

M.  Heiler and Schnörr, C., ?Reverse-Convex Programming for Sparse Image Codes?, in Proc. Int. Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR'05), 2005, vol. 3757, pp. 600-616.

R.  Strzodka and Garbe, C. S., ?Real-time motion estimation and visualization on graphics cards?, in Proceedings IEEE Visualization 2004, 2004, p. 545--552.

M.  Wenig, Kuhl, S., Beirle, S., Bucsela, E., Jähne, B., Platt, U., Gleason, J., and Wagner, T., ?Retrieval and analysis of stratospheric NO$_2$ from the Global Ozone Monitoring Experiment?, J. Geophys. Res., vol. 109, p. D04315, 1--11, 2004.

H.  Gröning, ?Radiometrische Kalibrierung und Charakterisierung von CCD- uund CMOS-Bildsensoren und Monokulares 3D-Tracking in Echtzeit?. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2003.

A.  Bruhn, Weickert, J., Feddern, C., Kohlberger, T., and Schnörr, C., ?Real-Time Optic Flow Computation with Variational Methods?, in Proc. Computer Analysis of Images and Patterns (CAIP'03), 2003, vol. 2756, pp. 222-229.

H.  Spies, Jähne, B., and Barron, J. L., ?Range flow estimation.?, Computer Vision and Image Understanding, vol. 85, p. 209--231, 2002.

C. S.  Garbe and Jähne, B., ?Reliable estimates of the sea surface heat flux from image sequences?, in Proceedings of the 23th DAGM Symposium on Pattern Recognition, München, 2001, p. 194--201.

N.  Kirchgeßner, Spies, H., Scharr, H., and Schurr, U., ?Root Growth Analysis in Physiological Coordinates?, in International Conference on Image Analysis and Processing (ICIAP'01), 2001.

N.  Kirchgeßner, Spies, H., Scharr, H., and Schurr, U., ?Root Growth Measurements in Object Coordinates?, in Proceedings of the 23th DAGM Symposium on Pattern Recognition, 2001.

H.  Haußecker and Jähne, B., ?Radiation and illumination?, Computer Vision and Applications - A Guide for Students and Practitioners. Academic Press, p. 11--52, 2000.

H.  Haußecker and Jähne, B., ?Radiometry of imaging?, Computer Vision and Applications - A Guide for Students and Practitioners. Academic Press, p. 85--109, 2000.

H.  Spies, Jähne, B., and Barron, J. L., ?Regularised range flow?, in European Conference on Computer Vision (ECCV), 2000, vol. 2, p. 785--799.

B.  Jähne, Jähne, B., and Haußecker, H., ?Representation of multidimensional signals?, Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press, p. 211--272, 2000.

H.  Haußecker, Jähne, B., Geißler, P., and Haußecker, H., ?Radiation?, Handbook of Computer Vision and Applications, vol. 1: Sensors and Imaging. Academic Press, p. 7--35, 1999.

H.  Haußecker, Jähne, B., Geißler, P., and Haußecker, H., ?Radiometry of imaging?, Handbook of Computer Vision and Applications, vol. 1: Sensors and Imaging. Academic Press, p. 103--135, 1999.

J.  Weickert and Schnörr, C., ?Räumlich?zeitliche Berechnung des optischen Flusses mit nichtlinearen flussabhängigen Glattheitstermen?, in Mustererkennung 1999, 1999, pp. 317?324.

C.  Leue, Wenig, M., Platt, U., Jähne, B., Geißler, P., and Haußecker, H., ?Retrieval of Atmospheric Trace Gas Concentrations?, Handbook of Computer Vision and Applications, vol. 3: Systems and Applications. Academic Press, pp. 783-805, 1999.

K.  Wiehler, Grigat, R. ?R., Heers, J., Schnörr, C., and Stiehl, H. ?S., ?Real?Time Adaptive Smoothing with a 1D Nonlinear Relaxation Network in Analogue VLSI Technology?, in Mustererkennung 1998, Heidelberg, 1998.

H.  Reinecke, Fantana, N. L., Haußecker, H., and Jähne, B., ?Rekonstruktion von Schreiberkurven?, in Mustererkennung 1997, 1997, p. 527--536.

P. S.  Liss, Watson, A. J., Bock, E. J., Jähne, B., Asher, W. E., Frew, N. M., Hasse, L., Korenowski, G. M., Merlivat, L., Phillips, L. F., Schlüssel, P., and Woolf, D. K., ?Report Group 1 - Physical processes in the microlayer and the air-sea exchange of trace gases?, The Sea Surface and Global Change. Cambridge University Press, p. 1--33, 1997.

B.  Jähne, Haußecker, H., Platt, U., Schurr, U., and Stitt, M., ?The research unit (Forschergruppe) Image Sequence Processing to Study Dynamical Processes?, in Proc.\ 3D Image Analysis and Synthesis'97, Erlangen (Germany), November 17--18, 1997, 1997, p. 107--114.

C.  Schnörr, ?Repräsentation von Bilddaten mit einem konvexen Variationsansatz?, in Mustererkennung 1996, Berlin, Heidelberg, 1996, pp. 21?28.

C.  Schnörr, ?Representation of Images by a Convex Variational Diffusion Approach?, FB Informatik, Universität Hamburg, FBI-HH-M-256/96, 1996.

B.  Jähne, Haußecker, H., Hering, F., Balschbach, G., Klinke, J., Lell, M., Schmund, D., Schultz, M., Schurr, U., Stitt, M., and Platt, U., ?The role of active vision in exploring growth, transport, and exchange processes?, in Aktives Sehen in technischen und biologischen Systemen, Workshop der GI-Fachgruppe 1.0.4. Bildverstehen Hamburg, 3--4. December 1996, 1996, vol. 4, p. 194--202.

F.  Hering, Merle, M., Wierzimok, D., and Jähne, B., ?A robust technique for tracking particles over long image sequences?, in Proc. ISPRS Intercommission Workshop `From Pixels to Sequences', Zurich, March 22 - 24, 1995, In Int'l Arch. of Photog. and Rem. Sens., 1995, vol. XXX-5W1, p. 74--79.