K.  Roth, Milbich, T., Ommer, B., Cohen, J. Paul, and Ghassemi, M., ?S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning?, Proceedings of International Conference on Machine Learning (ICML). 2021.

C.  Pape, ?Scalable Instance Segmentation for Microscopy?. Heidelberg University, 2021.

H.  Arlt, Sui, X., Folger, B., Adams, C., Chen, X., Remme, R., Hamprecht, F. A., DiMaio, F., Liao, M., Goodman, J. M., Farese, R. V., and Walther, T. C., ?Seipin forms a flexible cage at lipid droplet formation sites?. bioRxiv, 2021.

M. Amirul Islam, Kowal, M., Esser, P., Jia, S., Ommer, B., Derpanis, K. G., and Bruce, N., ?Shape or Texture: Understanding Discriminative Features in CNNs?, International Conference on Learning Representations (ICLR). 2021.

M.  Dorkenwald, Milbich, T., Blattmann, A., Rombach, R., Derpanis, K. G., and Ommer, B., ?Stochastic Image-to-Video Synthesis usin cINNs?, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2021.

S. K.  Mustikovela, Jampani, V., De Mello, S., Liu, S., Iqbal, U., Rother, C., and Kautz, J., ?Self-Supervised Viewpoint Learning From Image Collections?, in CONSAC, 2020.

S.  Wolf, Li, Y., Pape, C., Bailoni, A., Kreshuk, A., and Hamprecht, F. A., ?The Semantic Mutex Watershed for Efficient Bottom-Up Semantic Instance Segmentation?, ECCV. Proceedings. pp. 208-224, 2020.

T.  Milbich, Roth, K., Brattoli, B., and Ommer, B., ?Sharing Matters for Generalization in Deep Metric Learning?, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.

B.  Jähne, ?Struktur und Chaos: Kleinskalige Austauschprozesse zwischen Atmosphäre und Meer?, Heidelberger Jahrbücher Online, Entwicklung ? Wie aus Prozessen Strukturen werden, vol. 5. pp. 133?150, 2020.

M.  Desana and Schnörr, C., ?Sum-Product Graphical Models?, Machine Learning, vol. 109, pp. 135?173, 2020.

Y.  Censor, Petra, S., and Schnörr, C., ?Superiorization vs. Accelerated Convex Optimization: The Superiorized/Regularized Least Squares Case?, J. Appl. Numer. Optimization (in press; arXiv:1911.05498), vol. 2, pp. 15-62, 2020.

M.  Haußmann, Hamprecht, F. A., and Kandemir, M., ?Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation?, UAI. Proceedings. pp. 563-573, 2019.

M.  Zisler, Zern, A., Petra, S., and Schnörr, C., ?Self-Assignment Flows for Unsupervised Data Labeling on Graphs?, preprint: arXiv, 2019.

Y.  Li, ?Semantic Instance Segmentation with the Multiway Mutex Watershed?, Heidelberg University, 2019.

E.  Fita, ?Semi-supervised distance-based segmentation?, Heidelberg University, 2019.

P.  Voigt, ?Simulation and Measurement of the Water-sided Viscous Shear Stress without Waves?, Institut für Umweltphysik, Universität Heidelberg, Germany, 2019.

M.  Storath, Kiefer, L., and Weinmann, A., ?Smoothing for signals with discontinuities using higher order Mumford-Shah models?, Numerische Mathematik, vol. 143(2), pp. 423-460, 2019.

M.  Desana and Schnörr, C., ?Sum-Product Graphical Models?, Machine Learning, 2019.

Y.  Censor, Petra, S., and Schnörr, C., ?Superiorization vs. Accelerated Convex Optimization: The Superiorized/Regularized Least Squares Case?, preprint: arXiv, 2019.

M.  Großkinsky, ?Synaptic Cleft Prediction on Electron Microsope Images?, Heidelberg University, 2019.

L.  Kostrykin, Schnörr, C., and Rohr, K., ?Segmentation of Cell Nuclei Using Intensity-Based Model Fitting and Sequential Convex Programming?, in Proc. ISBI, 2018.

D.  Kawetzki, ?Semantic Segmentation of Urban Scenes Using Deep Learning?, Heidelberg University, 2018.

N.  Rahaman, Arpit, D., Baratin, A., Draxler, F., Lin, M., Hamprecht, F. A., Bengio, Y., and Courville, A., ?On the spectral bias of deep neural networks?, arXiv preprint arXiv:1806.08734, 2018.

A.  Sanakoyeu, Kotovenko, D., Lang, S., and Ommer, B., ?A Style-Aware Content Loss for Real-time HD Style Transfer?, in Proceedings of the European Conference on Computer Vision (ECCV) (Oral), 2018.

?A Supplementary Material CEREALS-Cost-Effective REgion-based Active Learning for Semantic Segmentation?, 2018.

C.  Haubold, ?Scalable Inference for Multi-Target Tracking on Proliferating Cells?. University of Heidelberg, 2017.

J.  Berger, Lenzen, F., Becker, F., Neufeld, A., and Schnörr, C., ?{Second-Order Recursive Filtering on the Rigid-Motion Lie Group SE(3) Based on Nonlinear Observations?, J. Math. Imag. Vision, vol. 58, pp. 102?129, 2017.

P.  Markowsky, Reith, S., Zuber, T. E., König, R., Rohr, K., and Schnörr, C., ?Segmentation of cell structure using model-based set covering with iterative reweighting?, in Proc. ISBI, 2017.

P.  Neigel, ?Self-Similarity Based Detection of Temporal Motifs in Multivariate Signals?, Heidelberg University, 2017.

Ö.  Sümer, Dencker, T., and Ommer, B., ?Self-supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos?, in Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2017.

M.  Hullin, Klein, R., Schultz, T., Yao, A., Li, W., Hosseini Jafari, O., and Rother, C., ?Semantic-Aware Image Smoothing?, Vision, Modeling, and Visualization, 2017.

C.  Pape, Beier, T., Li, P., Jain, V., Brock, D. D., and Kreshuk, A., ?Solving Large Multicut Problems for Connectomics via Domain Decomposition?, Bioimage Computing Workshop. ICCV. pp. 1-10, 2017.

S.  Peter, Kirschbaum, E., Both, M., Campbell, L. A., Harvey, B. K., Heins, C., Durstewitz, D., Diego, F., and Hamprecht, F. A., ?Sparse convolutional coding for neuronal assembly detection?, NIPS, poster. 2017.

A.  Rennebaum, ?Spatio-Temporal Properties of the initial Wave Formation Phase at the Aeolotron?, Institut für Umweltphysik, Universität Heidelberg, Germany, 2017.

C.  Haubold, Schiegg, M., Kreshuk, A., Berg, S., Köthe, U., and Hamprecht, F. A., ?Segmenting and Tracking Multiple Dividing Targets Using ilastik?, in Focus on Bio-Image Informatics, vol. 219, Springer, 2016, pp. 199-229.

D.  Rathore, ?Semantic Segmentation Using Deep Learning?, University of Heidelberg, 2016.

K.  Schwarz, ?Spatio-Temporal Measurements of Water-Wave Height and Slope using Laser-Induced Fluorescence and Splines?, Institut für Umweltphysik, Universität Heidelberg, Germany, 2016.

A.  Sellent, Rother, C., and Roth, S., ?Stereo video deblurring?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2016, vol. 9906 LNCS, pp. 558?575.

A.  Sellent, Rother, C., and Roth, S., ?Stereo Video Deblurring-Supplemental Material?, 2016.

A.  Kiem, ?Structured Learning on Calcium Imaging Data?, University of Heidelberg, 2016.

F.  Diego and Hamprecht, F. A., ?Structured Regression Gradient Boosting?, CVPR. Proceedings. pp. 1459-1467, 2016.

F.  Silvestri, Reinelt, G., and Schnörr, C., ?Symmetry-free SDP Relaxations for Affine Subspace Clustering?. 2016.

J.  Berger, Neufeld, A., Becker, F., Lenzen, F., and Schnörr, C., ?Second Order Minimum Energy Filtering on SE(3) with Nonlinear Measurement Equations?, in Scale Space and Variational Methods in Computer Vision (SSVM 2015), 2015.

J.  Berger, Neufeld, A., Becker, F., Lenzen, F., and Schnörr, C., ?Second Order Minimum Energy Filtering on SE(3) with Nonlinear Measurement Equations?, in Scale Space and Variational Methods in Computer Vision (SSVM 2015), 2015.

J.  Berger, Lenzen, F., Becker, F., Neufeld, A., and Schnörr, C., ?Second-Order Recursive Filtering on the Rigid-Motion Lie Group SE(3) Based on Nonlinear Observations?. 2015.

J.  Berger, Lenzen, F., Becker, F., Neufeld, A., and Schnörr, C., ?Second-Order Recursive Filtering on the Rigid-Motion Lie Group SE(3) Based on Nonlinear Observations?. 2015.

A.  Zouhar, Rother, C., and Fuchs, S., ?Semantic 3-D labeling of ear implants using a global parametric transition prior?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015, vol. 9350, pp. 177?184.

E. - M.  Didden, Thorarinsdottir, T. L., Lenkoski, A., and Schnörr, C., ?Shape from Texture using Locally Scaled Point Processes?, Image Anal. Stereol., vol. 34, pp. 161-170, 2015.

F.  Lenzen and Berger, J., ?Solution-Driven Adaptive Total Variation Regularization?, in LNCS, 2015.

F.  Lenzen and Berger, J., ?Solution-Driven Adaptive Total Variation Regularization?, in LNCS, 2015.

S.  Peter, ?Spatio-Temporal Motif Deconvolution for Calcium Image Analysis?, University of Heidelberg, 2015.

B.  Antic, Büchler, U., Wahl, A. - S., Schwab, M. E., and Ommer, B., ?Spatiotemporal Parsing of Motor Kinematics for Assessing Stroke Recovery?, in Medical Image Computing and Computer-Assisted Intervention, 2015.

B.  Antic and Ommer, B., ?Spatio-temporal Video Parsing for Abnormality Detection?, arXiv, vol. abs/1502.06235, 2015.

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.

B.  Maco, Cantoni, M., Holtmaat, A., Kreshuk, A., Hamprecht, F. A., and Knott, G. W., ?Semiautomated Correlative 3D Electron Microscopy of In Vivo Imaged Axons and Dendrites?, Nature Protocols, vol. 9, pp. 1354-1366, 2014.

A.  Drory, Haubold, C., Avidan, S., and Hamprecht, F. A., ?Semi-Global Matching: A Principled Derivation in Terms of Message Passing?, in GCPR. Proceedings, 2014, pp. 43-53.

U.  Köthe, Herrmannsdörfer, F., Kats, I., and Hamprecht, F. A., ?SimpleSTORM: a fast, self-calibrating reconstruction algorithm for localization microscopy?, Histochemistry and Cell Biology, vol. 141, pp. 613-627, 2014.

B.  Jähne, ?Simultaneous measurements of solubilities and diffusion coeffcients of volatile species in liquids?, in 7th SOPRAN Annual Meeting, Bremen, Germany, 25-26 March 2014, 2014.

F.  Lenzen, Lellmann, J., Becker, F., and Schnörr, C., ?Solving Quasi-Variational Inequalities for Image Restoration with Adaptive Constraint Sets?, SIAM J.~Imag.~Sci., vol. 7, p. 2139--2174, 2014.

F.  Lenzen, Lellmann, J., Becker, F., and Schnörr, C., ?Solving Quasi-Variational Inequalities for Image Restoration with Adaptive Constraint Sets?, SIAM J. Imag. Sci., vol. 7, pp. 2139?2174, 2014.

F.  Lenzen, Lellmann, J., Becker, F., and Schnörr, C., ?Solving QVIs for Image Restoration with Adaptive Constraint Sets?, SIAM Journal on Imaging Sciences (SIIMS), in press, 2014.

F.  Diego and Hamprecht, F. A., ?Sparse Space-Time Deconvolution for Calcium Image Analysis?, in NIPS. Proceedings, 2014, pp. 64-72.

S.  Reith, ?Spatio-temporal slope measurement of short wind waves under the influence of surface films at the Heidelberg Aeolotron?, Institut für Umweltphysik, Universität Heidelberg, Germany, 2014.

M.  Horná?ek, Fitzgibbon, A., and Rother, C., ?SphereFlow: 6 DoF scene flow from RGB-D pairs?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2014, pp. 3526?3533.

B.  Krolla, Diebold, M., Goldlücke, B., and Stricker, D., ?Spherical Light Fields?, in Proceedings of the British Machine Vision Conference, 2014.

D.  Kondermann, Nair, R., Meister, S., Mischler, W., Güssefeld, B., Hofmann, S., Brenner, C., and Jähne, B., ?Stereo ground truth with error bars?, in Asian Conference on Computer Vision, ACCV 2014, 2014.

X.  Lou, Kloft, M., Rätsch, G., and Hamprecht, F. A., ?Structured Learning from Cheap Data?, Advanced Structured Prediction. The MIT Press, 2014.

B.  Goldlücke, Aubry, M., Kolev, K., and Cremers, D., ?A super-resolution framework for high-accuracy multiview reconstruction?, Int. J. Comp. Vision, vol. 106, p. 172--191, 2014.

M.  Gutsche, ?Surface Velocity Measurements at the Aeolotron by Means of Active Thermography?, Institut für Umweltphysik, Universität Heidelberg, Germany, 2014.

M.  Gutsche, ?Surface Velocity Measurements at the Aeolotron by Means of Active Thermography?, Institut für Umweltphysik, Universität Heidelberg, Germany, 2014.

W.  Mischler, ?Systematic Measurements of Bubble Induced Gas Exchange for Trace Gases with Low Solubilities?, vol. Dissertation. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2014.

F.  Herrmannsdörfer, ?SimpleSTORM an Efficient Selfcalibrating Reconstruction Algorithm for Single and Multi-Channel Localisation Microscopy?, University of Heidelberg, 2013.

S.  Meister, Nair, R., and Kondermann, D., ?Simulation of Time-of-Flight Sensors using Global Illumination?, in Vision, Modeling and Visualization (VMV), 2013 International Workshopon. Proceedings, 2013, pp. 33-40.

K.  Berger, Meister, S., Nair, R., and Kondermann, D., ?A State of the Art Report on Kinect Sensor Setups in Computer Vision?, in Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications, 2013, vol. 8200, pp. 257-272.

R.  Nair, Ruhl, K., Lenzen, F., Meister, S., Schäfer, H., Garbe, C. S., Eisemann, M., and Kondermann, D., ?A Survey on Time-of-Flight Stereo Fusion?, in Time-of-Flight Imaging: Algorithms, Sensors and Applications, 2013, vol. 8022, pp. 105-127.

R.  Nair, Ruhl, K., Lenzen, F., Meister, S., Schäfer, H., Garbe, C. S., Eisemann, M., Magnor, M., and Kondermann, D., ?A Survey on Time-of-Flight Stereo Fusion?, Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications, vol. 8200. Springer, pp. 105-127, 2013.

R.  Nair, Ruhl, K., Lenzen, F., Meister, S., Schäfer, H., Garbe, C. S., Eisemann, M., Magnor, M., and Kondermann, D., ?A Survey on Time-of-Flight Stereo Fusion?, Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications, vol. 8200. Springer, pp. 105-127, 2013.

M.  Geese, Ruhnau, P., and Jähne, B., ?Scene based maximum likelihood PRNU and DSNU non uniformity correction?, in Forum Bildverarbeitung, 2012, p. 71--82.

K. E.  Richter, Rocholz, R., and Jähne, B., ?The Schmidt Number Dependency of Air-Sea Gas Exchange with Varying Surfactant Coverage?, in SOLAS Open Science Conference, Washington State, USA, 2012.

C. N.  Straehle, Köthe, U., Briggman, K., Denk, W., and Hamprecht, F. A., ?Seeded watershed cut uncertainty estimators for guided interactive segmentation?, in CVPR 2012. Proceedings, 2012, pp. 765 - 772.

A.  Monroy, Bell, P., and Ommer, B., ?Shaping Art with Art: Morphological Analysis for Investigating Artistic Reproductions?, in Proceedings of the European Conference on Computer Vision, Workshop on VISART, 2012, vol. 7583, p. 571--580.

S.  Wanner and Goldlücke, B., ?Spatial and Angular Variational Superresolution of 4D Light Fields?, in ECCV 2012. Proceedings, Part 5, 2012, vol. 7576, pp. 608-621.

S.  Wanner and Goldlücke, B., ?Spatial and Angular Variational Super-Resolution of 4D Light Fields?, in European Conference on Computer Vision (ECCV), 2012.

Z.  Lin, ?Structure Tensor Calculation Using FPGA?, HCI Heidelberg, 2012.

X.  Lou and Hamprecht, F. A., ?Structured Learning from Partial Annotations?, ICML 2012. Proceedings, 2012.

M.  Hanselmann, Voss, B., Renard, B. Y., Lindner, M., Köthe, U., Kirchner, M., and Hamprecht, F. A., ?SIMA: Simultaneous Multiple Alignment of LC/MS Peak Lists?, Bioinformatics, vol. 27 (7), pp. 987-993, 2011.

C.  Rother, ?Sparse Higher Order Functions of Discrete Variables?-Representation and Optimization?, research.microsoft.com, vol. 45, 2011.

D.  Breitenreicher, Lellmann, J., and Schnörr, C., ?Sparse Template-Based Variational Image Segmentation?, Advances in Adaptive Data Analysis, vol. 3, pp. 149-166, 2011.

D.  Breitenreicher, Lellmann, J., and Schnörr, C., ?Sparse Template-Based Variational Image Segmentation?, Advances in Adaptive Data Analysis, vol. 3, pp. 149-166, 2011.

X.  Lou and Hamprecht, F. A., ?Structured Learning for Cell Tracking?, in NIPS 2011. Proceedings, 2011, pp. 1296-1304.

B.  Savchynskyy, Kappes, J. H., Schmidt, S., and Schnörr, C., ?A Study of Nesterov's Scheme for Lagrangian Decomposition and MAPLabeling?, IEEE International Conference on Computer Vision and Pattern Recognition(CVPR), accepted as oral presentation, pp. 1817 - 1823, 2011.

B.  Savchynskyy, Kappes, J. H., Schmidt, S., and Schnörr, C., ?A Study of Nesterov's Scheme for Lagrangian Decomposition and MAP Labeling?, in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2011.

B.  Savchynskyy, Kappes, J. H., Schmidt, S., and Schnörr, C., ?A Study of Nesterov's Scheme for Lagrangian Decomposition and MAP Labeling?, in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2011.

S.  Nowozin and Sharp, T., ?Supplementary Material : Decision Tree Fields?, Iccv, 2011.

A.  Mansfield, Gehler, P., Van Gool, L., and Rother, C., ?Scene carving: Scene consistent image retargeting?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2010, vol. 6311 LNCS, pp. 143?156.

R.  Weber, ?Setup of a Laser Slope Gauge for the Measurement of Wave Slope Distributions at the Small Circular Wind Wave Facility?, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2010.

A. G.  Herzog, Friedl, F., and Jähne, B., ?Simultaneous high-resolution LIF measurements of dissolved gas concentration fields and measurements of wave slope at a wavy free water surface with wind-induced turbulence?, in 15h Int. Symp on Appl. Laser Techniques to Fluid Mechanics, Lisbon, Portugal, July 05--08, 2010, 2010.

M.  Atif, Zimmermann, K., and Jähne, B., ?A space-variant (3D) image simulation tool for computational cameras?, in International Conference on Computational Photography (ICCP) 2010, 2010.

C.  Rhemann, Rother, C., Kohli, P., and Gelautz, M., ?A spatially varying PSF-based prior for alpha matting?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010, pp. 2149?2156.

A. G.  Herzog, Friedl, F., and Jähne, B., ?Spatio-temporal fluctuations of water-sided gas concentration fields under wind-induced turbulence?, in 6th Int. Symp. Gas Transfer at Water Surfaces, Kyoto, May 17--21, 2010, 2010.

R.  Rocholz and Jähne, B., ?Spatio-temporal measurements of short wind water waves?, in EGU General Assembly 2010, Symposium AS2.2, 2010, pp. EGU2010-5509.

F.  Rathke, Hansen, K., Brefeld, U., and Müller, K. - R., ?StructRank: A new approach for ligand-based virtual screening?, J. Chem. Inf. Model., vol. 51, pp. 83?92, 2010.

M.  Bergtholdt, Kappes, J. H., Schmidt, S., and Schnörr, C., ?A Study of Parts-Based Object Class Detection Using Complete Graphs?, Int.~J.~Comp.~Vision, vol. 87, pp. 93-117, 2010.

M.  Bergtholdt, Kappes, J. H., Schmidt, S., and Schnörr, C., ?A Study of Parts-Based Object Class Detection Using Complete Graphs?, Int. J. Comp. Vision, vol. 87, pp. 93-117, 2010.

S.  Meister, ?A Study on Ground Truth Generation for Optical Flow?, University of Heidelberg, 2010.

M.  Bleyer, Rother, C., and Kohli, P., ?Surface stereo with soft segmentation?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010, pp. 1570?1577.

B.  Ommer, Mader, T., and Buhmann, J. M., ?Seeing the Objects Behind the Dots: Recognition in Videos from a Moving Camera?, International Journal of Computer Vision, vol. 83, p. 57--71, 2009.

M.  Staudacher, Hamprecht, F. A., and Görlitz, L., ?Self Adjustment of Scanning Electron Microscopes / Selbstadaptivität von Rasterelektronenmikroskopen?, Patent, Patent Number  WO2009062781A1, 2009.

J.  Greis, ?Semi-automatic analysis of high-information-content neurobiological image data?, University of Heidelberg, 2009.

T.  Kumpf, ?Sichtfelddesign mittels Freiformspiegel für katadioptrische Systeme?, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2009.

C. S.  Garbe, Kondermann, D., Jehle, M., and Jähne, B., ?Spatiotemporal image analysis for flow measurements?, 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. 289--305, 2009.

F.  Lauer and Schnörr, C., ?Spectral Clustering of Linear Subspaces for Motion Segmentation?, in Proceedings of the IEEE Conference on Computer Vision (ICCV 09) Kyoto, Japan, in press, 2009, pp. 678-685.

F.  Lauer and Schnörr, C., ?Spectral Clustering of Linear Subspaces for Motion Segmentation?, in Proc.~IEEE Int.~Conf.~Computer Vision (ICCV'09), 2009.

F.  Lauer and Schnörr, C., ?Spectral Clustering of Linear Subspaces for Motion Segmentation?, in Proc. IEEE Int. Conf. Computer Vision (ICCV'09), Kyoto, Japan, 2009.

M.  Bleyer, Gelautz, M., Rother, C., and Rhemann, C., ?A stereo approach that handles the matting problem via imagewarping?, in 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, 2009, vol. 2009 IEEE, pp. 501?508.

D.  Singaraju, Rother, C., and Rhemann, C., ?Supplementary material for New Appearance Models for Image Matting?, 2009.

O.  Friedrich, Weber, C., Both, M., von Wegner, F., Chamberlain, J. S., Garbe, C. S., and Fink, R. H. A., ?Sarcomere Structure and Motor-Protein Function in an Animal Model of Duchenne Muscular Dystrophy (mdx mouse)?, in 87th Annual Meeting of the German Physiological Society, 2008.

B.  Ommer, Seeing the Objects Behind the Parts: Learning Compositional Models for Visual Recognition. VDM Verlag, 2008.

B.  Andres, Köthe, U., Helmstaedter, M., Denk, W., and Hamprecht, F. A., ?Segmentation of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification?, in Pattern Recognition. 30th DAGM Symposium Munich, Germany, June 10-13, 2008. Proceedings, 2008, vol. 5096, pp. 142-152.

B.  Jähne, ?Signifikanter Umbruch zeichnet sich ab - Aktuelle Entwicklungen in der Bildverarbeitung?. 2008.

F.  Huhn, ?A Simple Instrument for the Measurement of the Slope and Height Distributions of Small Scale Wind-Driven Water Waves?, Institute for Environmental Physics, University of Heidelberg, 2008.

S.  Petra, Schröder, A., Wieneke, B., and Schnörr, C., ?On Sparsity Maximization in Tomographic Particle Image Reconstruction?, in Pattern Recognition -- 30th DAGM Symposium, 2008, vol. 5096, p. 294--303.

S.  Petra, Schröder, A., Wieneke, B., and Schnörr, C., ?On Sparsity Maximization in Tomographic Particle Image Reconstruction?, in Pattern Recognition ? 30th DAGM Symposium, 2008, vol. 5096, pp. 294?303.

M.  Schmidt, ?Spatiotemporal Analysis of Range Imagery?. IWR, Fakultät für Physik und Astronomie, University of Heidelberg, 2008.

R.  Rocholz, ?Spatiotemporal Measurement of Short Wind-Driven Water Waves?. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2008.

M.  Jäger, Humbert, S., and Hamprecht, F. A., ?Sputter Tracking for the Automatic Monitoring of Industrial Laser Welding Processes?, IEEE Transactions on Industrial Electronics, vol. 55, pp. 2177-2184, 2008.

C.  Kondermann, Mester, R., and Garbe, C. S., ?A statistical confidence measure for optical flows?, in Proceedings of the ECCV, 2008, vol. 5304, p. 290--301.

L.  Görlitz, Singh, M., and Schützbach, P., ?Schnelle 3D-Vermessung von Partikeln in Rasterelektronenmiskroskopen mit Hilfe eines Rücksteuerdetektors?. 2007.

B.  Andres, Hamprecht, F. A., and Garbe, C. S., ?Selection of Local Optical Flow Models by Means of Residual Analysis?, in Pattern Recognition, 2007, vol. 4713, pp. 72-81.

B.  Andres, Garbe, C. S., Schnörr, C., and Jähne, B., ?Selection of local optical flow models by means of residual analysis?, in Proceedings of the 29th DAGM Symposium on Pattern Recognition, 2007, p. 72--81.

L.  Görlitz, Menze, B. H., Weber, M. - A., and Kelm, B. Michael, ?Semi-Supervised Tumor Detection in MRSI With Discriminative Random Fields?, in Pattern Recognition, 2007, vol. 4713, pp. 224-233.

C.  Schnörr, ?Signal and Image Approximation with Level-Set Constraints?, Computing, vol. 81, pp. 137-160, 2007.

C.  Schnörr, ?Signal and Image Approximation with Level-Set Constraints?, Computing, vol. 81, pp. 137-160, 2007.

J.  Yuan, Schnörr, C., and Steidl, G., ?Simultaneous Optical Flow Estimation and Decomposition?, SIAM J.~Scientific Computing, vol. 29, pp. 2283-2304, 2007.

J.  Yuan, Schnörr, C., and Steidl, G., ?Simultaneous Optical Flow Estimation and Decomposition?, SIAM J. Scientific Computing, vol. 29, pp. 2283-2304, 2007.

S.  Schmidt, Kappes, J. H., Bergtholdt, M., Pekar, V., Dries, S., Bystrov, D., and Schnörr, C., ?Spine Detection and Labeling Using a Parts-Based Graphical Model?, in Proc. 20th International Conference on Information Processing in Medical Imaging (IPMI 2007), 2007, vol. 4584, pp. 122-133.

S.  Schmidt, Kappes, J. H., Bergtholdt, M., Pekar, V., Dries, S., Bystrov, D., and Schnörr, C., ?Spine Detection and Labeling Using a Parts-Based Graphical Model?, in Proc. 20th International Conference on Information Processing in Medical Imaging (IPMI 2007), 2007, vol. 4584, pp. 122-133.

M.  Hayn, ?Statistical analysis of spatio-temporal patterns in global NOX satellite data?, University of Heidelberg, 2007.

M.  Wieler, ?Single tone frequency estimation from very few sampling points?, University of Heidelberg, 2006.

M.  Jehle, ?Spatio-temporal analysis of flows close to water surfaces?. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2006.

F.  Vogel, ?Spectroscopic Techniques for Gas-Exchange Measurements?, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2006.

J.  Schmähling, ?Statistical characterization of technical surface microstructure?. University of Heidelberg, 2006.

M.  Heiler, Keuchel, J., and Schnörr, C., ?Semidefinite Clustering for Image Segmentation with A-priori Knowledge?, Pattern Recognition, Proc. 27th DAGM Symposium, vol. 3663. Springer, pp. 309?317, 2005.

M.  Bergtholdt and Schnörr, C., ?Shape Priors and Online Appearance Learning for Variational Segmentation and Object Recognition in Static Scenes?, Pattern Recognition, Proc. 27th DAGM Symposium, vol. 3663. Springer, pp. 342?350, 2005.

J.  Yuan, Schnörr, C., Steidl, G., and Becker, F., ?A Study of Non-Smooth Convex Flow Decomposition?, in Proc. Variational, Geometric and Level Set Methods in Computer Vision, 2005, vol. 3752, pp. 1?12.

R.  Küsters, ?Simultane Tiefen- und Flussbestimmung pflanzlicher Oberflächen?. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2004.

M.  Klar, Jehle, M., Detert, M., Jirka, G. H., Jähne, B., Köhler, H. - J., and Wenka, T., ?Simultaneous 3D PTV and micro-pressure sensor equipment for flow analysis in subsurface gravel layer?, in Proc. of River Flow 2004, 2004, p. 703--712.

M.  Kirchner, ?Spatial extensions to self-modeling curve resolution?, University of Heidelberg, 2004.

L.  Feistner, ?Statistische Karten in der Magnetresonanzspektroskopie?, University of Heidelberg, 2004.

X.  Zhang and Garbe, C. S., ?Studying dynamical processes of air-sea exchanges with air-water interface image techniques?, Recent Research Developments in Fluid Dynamics, vol. 5, p. 57--87, 2004.

C. S.  Garbe, Schimpf, U., and Jähne, B., ?A surface renewal model to analyze infrared image sequences of the ocean surface for the study of air-sea heat and gas exchange?, J. Geophys. Res., vol. 109, pp. 1-18, 2004.

J.  Neumann, Schnörr, C., and Steidl, G., ?SVM-based Feature Selection by Direct Objective Minimisation?, in Pattern Recognition, Proc. 26th DAGM Symposium, 2004, vol. 3175, pp. 212-219.

D.  Cremers, Kohlberger, T., and Schnörr, C., ?Shape Statistics in Kernel Space for Variational Image Segmentation?, Pattern Recognition, vol. 36, p. 1929--1943, 2003.

D.  Cremers, Kohlberger, T., and Schnörr, C., ?Shape Statistics in Kernel Space for Variational Image Segmentation?, Pattern Recognition, vol. 36, pp. 1929?1943, 2003.

D.  Uttenweiler, Weber, C., Jähne, B., Fink, R. H. A., and Schaar, H., ?Spatiotemporal anisotropic diffusion filtering to improve signal-to-noise ratios and object restoration in fluorescence microscopic image sequences.?, J Biomed Opt, vol. 8, p. 40--47, 2003.

D.  Cremers and Schnörr, C., ?Statistical Shape Knowledge in Variational Motion Segmentation?, Image and Vision Comp., vol. 21, pp. 77-86, 2003.

C.  Schellewald and Schnörr, C., ?Subgraph Matching with Semidefinite Programming?, in Proc. Int. Workshop on Combinatorial Image Analysis (IWCIA'03), Palermo, Italy, 2003.

C. S.  Garbe, Schimpf, U., and Jähne, B., ?A surface renewal model to analyze infrared image sequences for the study of air-sea heat and gas exchange?, in Geophysical Research Abstracts, 2003, p. 11893.

S.  Hader, ?System Concept for Image Sequence Classification in Laser Welding?, Pattern Recognition, vol. 2781. Springer, pp. 212-219, 2003.

M.  Brocke, ?Statistical Image Sequence Processing for Temporal Change Detection?, in Proceedings of the 24th DAGM Symposium on Pattern Recognition, 2002, vol. LNCS 2449, p. 215--223.

M.  Brocke, ?Statistische Ereignisdetektion in Bildfolgen?. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2002.

T.  Hara, Uz, B. M., Wei, H., Edson, J. B., Frew, N. M., McGilles, W. R., McKenna, S. P., Bock, E. J., Haußecker, H., and Schimpf, U., ?Surface wave observations during CoOP experiments and their relations to air-sea gas transfer?, in Gas Transfer at Water Surfaces, 2002, vol. 127, p. 45--49.

B.  Jähne, ?Simulation der Austauschprozesse an der Ozeanoberfläche im Labor: das neue Heidelberger Aeolotron?, in Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Hamburg, 26.-30.03.2001, 2001.

T.  Wagner, Leue, C., Wenig, M., Pfeilsticker, K., and Platt, U., ?Spatial and temporal distribution of enhanced boundary layer BrO concentrations measured by the GOME instrument aboard ERS-2?, J. Geophys. Res., vol. 106, p. 24225--24235, 2001.

C.  Schnörr, ?Statistische Mustererkennung?. 2001.

F. A.  Hamprecht, Peter, C., Daura, X., Thiel, W., and van Gunsteren, W. F., ?A strategy for analysis of (molecular) equilibrium simulations: configuration space density estimation, clustering and visualization?, Journal of Chemical Physics, vol. 114, pp. 2079-2089, 2001.

P.  Stybalkowski, ?Strömungsmessung in Sedimentporen mittel 3D Particle Tracking Velocimetry?, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2001.

H.  Spies, Jähne, B., and Barron, J. L., ?Surface expansion from range data sequences?, in Proceedings of the 23th DAGM Symposium on Pattern Recognition, 2001, p. 163--169.

U.  Schimpf, Haußecker, H., Jähne, B., Jähne, B., and Haußecker, H., ?Small-scale air-sea interaction with thermography?, Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press, p. 638--639, 2000.

B.  Jähne, Jähne, B., and Haußecker, H., ?Spatial and fourier domain?, Handbook of Computer Vision and Applications. Volume II: Signal Processing and Pattern Recognition. Academic Press, p. 35--66, 1999.

U.  Schimpf, Haußecker, H., and Jähne, B., ?Studies of air-sea gas transfer and micro turbulence at the ocean surface using passive thermography?, in The Wind-Driven Air-Sea Interface, Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes, 1999.

U.  Schimpf, Haußecker, H., Jähne, B., Jähne, B., Geißler, P., and Haußecker, H., ?Studies of small-scale air-sea interaction with active and passive thermography?, Handbook of Computer Vision and Applications, vol. 3: Systems and Applications. Academic Press, pp. 751-762, 1999.

X.  Zhang, Klinke, J., and Jähne, B., ?A study of advection of short wind waves by long waves from surface slope images?, in The Wind-Driven Air-Sea Interface, Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes, 1999, p. 93--97.

B.  Jähne, ?Sehen, was man sonst nicht sieht?, Ruperto Carola, p. 32--36, 1998.

D.  Engelmann, Garbe, C. S., Stöhr, M., Geißler, P., Hering, F., and Jähne, B., ?Stereo particle tracking?, in Proc. of the 8th International Symposium on Flow Visualization, 1998, p. 240--249.

C.  Schnörr, ?A Study of a Convex Variational Diffusion Approach for Image Segmentation and Feature Extraction?, J. of Math. Imag. and Vision, vol. 8, pp. 271?292, 1998.

B.  Jähne, Haußecker, H., Scharr, H., Spies, H., Schmund, D., and Schurr, U., ?Study of dynamical processes with tensor-based spatiotemporal image processing techniques?, in ECCV 1998, 1998, vol. 1407, p. 322--336.

S.  Gerloff, Hagemann, A., Schnörr, C., Tieck, S., Stiehl, H. S., Dombrowski, R., Dreyer, M., and Wiesendanger, R., ?Semi?Automated Analysis of SXM Images?, in Proc. 9th Int. Conf. on Scanning Tunneling Microscopy/Spectroscopy and Related Techniques (STM'97), Hamburg, Germany, 1997.

B.  Jähne, ?SIMD-Bildverarbeitungsalgorithmen mit dem Multimedia Extension-Instruktionssatz (MMX) von Intel?, Automatisierungstechnik, vol. 10, p. 453--460, 1997.

M.  Beyer, ?Skalenraumanalyse nichtlinearer Wasseroberflächenwellen?. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1997.

B.  Jähne and Herrmann, H., ?Softwarekonzepte und Algorithmen für die 3D-Bildverarbeitung?, in 4. ABW Workshop, TA Esslingen 22.--23.01.1997, 1997.

C.  Leue, Geißler, P., Jähne, B., Jähne, B., Geißler, P., and Haußecker, H., ?Segmentierung von Partikelbildern in der Strömungsvisualisierung?, in Proceedings of 18th DAGM-Symposium Mustererkennung, 1996, p. 118--129.

U.  Schurr, Schuberth, B., Aloni, R., Pradel, K. S., Schmund, D., Jähne, B., and Ullrich, C. I., ?Structural and functional evidence for xylem-mediated water transport and high tranpiration in Agrobacterium tumefaciens-induced tumors of Ricinus communis?, Botanica Acta, vol. 109, p. 405--412, 1996.

J.  Klinke and Jähne, B., ?Spatial measurement of short ocean waves during the MBL-ARI West Coast Experiment?, in IAPSO Proceedings, XXI General Assembly, Honolulu, Hawai, August 1995, PS-10 Spatial Structure of Short Ocean Waves, 1995, p. 390.

C.  Schnörr, ?Segmentation of Visual Motion by Minimizing Convex Non-Quadratic Functionals?, in 12th Int. Conf. on Pattern Recognition, Jerusalem, Israel, 1994.

C.  Wolf, ?Surface Properties of Breaking Water Waves?, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1994.

B.  Jähne, Waas, S., and Klinke, J., ?Shape from shading techniques for short ocean wind waves?, in Imaging in Transport Processes, 1993, p. 269--281.

B.  Jähne, Spatio-Temporal Image Processing: Theory and Scientific Applications, vol. 751. Springer-Verlag, 1993.

M.  Schaum, ?Subpixelgenaue Positionsbestimmungen in digitalen Bildern?, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1993.

F.  Brunswig, ?Strukturanalyse von Gletschereis und Baumringen mittels Digitaler Bildanalyse?, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1992.