M.  Kandemir, Agkül, A., Haußmann, M., and Ünal, G., ?Evidential Turing Processes?. arXiv preprint, 2021.

A.  Andersson, Diego, F., Hamprecht, F. A., and Wählby, C., ?ISTDECO: In Situ Transcriptomics Decoding by Deconvolution?, bioRxiv, 2021.

M.  Afifi, Derpanis, K. G., Ommer, B., and Brown, M. S., ?Learning Multi-Scale Photo Exposure Correction?, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

C.  Pape, Remme, R., Wolny, A., Olberg, S., Wolf, S., Cerrone, L., Cortese, M., Klaus, S., Lucic, B., Ullrich, S., Anders-Össwein, M., Wolf, S., Cerikan, B., Neufeldt, C. J., Ganter, M., Schnitzler, P., Merle, U., Lusic, M., Boulant, S., Stanifer, M., Bartenschlager, R., Hamprecht, F. A., Kreshuk, A., Tischer, C., Kräusslich, H. - G., Müller, B., and Laketa, V., ?Microscopy-based assay for semi-quantitative detection of SARS-CoV-2 specific antibodies in human sera?, BioEssays, vol. 43, no. 3, 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.

S. T.  Radev, Mertens, U. K., Voss, A., Ardizzone, L., and Köthe, U., ?BayesFlow: Learning complex stochastic models with invertible neural networks?, 2020.

F.  Kluger, Brachmann, E., Ackermann, H., Rother, C., Yang, M. Ying, and Rosenhahn, B., ?CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus?, in CVPR 2020, 2020.

L.  Ardizzone, Mackowiak, R., Rother, C., and Köthe, U., ?Exact Information Bottleneck with Invertible Neural Networks: Getting the Best of Discriminative and Generative Modeling?, 2020.

J.  Kruse, Ardizzone, L., Rother, C., and Köthe, U., ?Benchmarking Invertible Architectures on Inverse Problems?, i, 2019.

A.  Imle, Kumberger, P., Schnellbächer, N. D., Fehr, J., Carillo-Bustamente, P., Ales, J., Schmidt, P., Ritter, C., Godinez, W. J., Müller, B., Rohr, K., Hamprecht, F. A., Schwarz, U. S., Graw, F., and Fackler, O. T., ?Experimental and computational analyses reveal that environmental restrictions shape HIV-1 spread in 3D cultures?, Nature Communications, vol. 13;10(1), 2019.

H.  Abu Alhaija, Mustikovela, S. Karthik, Geiger, A., and Rother, C., ?Geometric Image Synthesis?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019, vol. 11366 LNCS, pp. 85?100.

L.  Ardizzone, Lüth, C., Kruse, J., Rother, C., and Köthe, U., ?Guided Image Generation with Conditional Invertible Neural Networks?, 2019.

L.  Ardizzone, Lüth, C., Kruse, J., Rother, C., and Köthe, U., ?Guided Image Generation with Conditional Invertible Neural Networks?, 2019.

S.  Berg, Kutra, D., Kroeger, T., Straehle, C. N., Kausler, B. X., Haubold, C., Schiegg, M., Ales, J., Beier, T., Rudy, M., Eren, K., Cervantes, J. I., Xu, B., Beuttenmüller, F., Wolny, A., Zhang, C., Köthe, U., Hamprecht, F. A., and Kreshuk, A., ?ilastik: interactive machine learning for (bio)image analysis?, Nature Methods, vol. 16, pp. 1226-1232, 2019.

T. J.  Adler, Ayala, L., Ardizzone, L., Kenngott, H. G., Vemuri, A., Müller-Stich, B. P., Rother, C., Köthe, U., and Maier-Hein, L., ?Out of Distribution Detection for Intra-operative Functional Imaging?, in MICCAI UNSURE Workshop 2019, 2019, vol. 11840 LNCS, pp. 75?82.

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.

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.

A.  Arnab, Zheng, S., Jayasumana, S., Romera-paredes, B., Kirillov, A., Savchynskyy, B., Rother, C., Kahl, F., and Torr, P., ?Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation?, Cvpr, vol. XX, pp. 1?15, 2018.

H.  Abu Alhaija, Mustikovela, S. K., Geiger, A., and Rother, C., ?Geometric Image Synthesis?, ACCV. Proceedings, in press. 2018.

R.  Hühnerbein, Savarino, F., Aström, F., and Schnörr, C., ?Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment?, SIAM Journal on Imaging Sciences, vol. 11, no. 2, pp. 1317-1362, 2018.

R.  Hühnerbein, Savarino, F., Aström, F., and Schnörr, C., ?Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment?, SIAM J. Imaging Science, vol. 11, pp. 1317?1362, 2018.

W.  Erb, Weinmann, A., Ahlborg, M., Brandt, C., Bringout, G., Buzug, T. M., Frikel, J., Kaethner, C., Knopp, T., März, T., Möddel, M., Storath, M., and Weber, A., ?Mathematical Analysis of the 1D Model and Reconstruction Schemes for Magnetic Particle Imaging?, Inverse Problems, vol. 34, no. 5, 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.

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.  Zern, Zisler, M., Aström, F., Petra, S., and Schnörr, C., ?Unsupervised Label Learning on Manifolds by Spatially Regularized Geometric Assignment?, GCPR. Proceedings. pp. 698-713, 2018.

A.  Zern, Zisler, M., Aström, F., Petra, S., and Schnörr, C., ?Unsupervised Label Learning on Manifolds by Spatially Regularized Geometric Assignment?, in GCPR, 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.

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.

F.  Aström and Schnörr, C., ?A Geometric Approach for Color Image Regularization?, Comp. Vision Image Understanding, vol. 165, pp. 43?59, 2017.

R.  Hühnerbein, Savarino, F., Aström, F., and Schnörr, C., ?Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment?. 2017.

F.  Aström, Petra, S., Schmitzer, B., and Schnörr, C., ?Image Labeling by Assignment?, J. Math. Imag. Vision, vol. 58, pp. 211?238, 2017.

M.  Zisler, Aström, F., Petra, S., and Schnörr, C., ?Image Reconstruction by Multilabel Propagation?, in Proc. SSVM, 2017, vol. 10302.

A.  Kirillov, Levinkov, E., Andres, B., Savchynskyy, B., and Rother, C., ?InstanceCut: From edges to instances with MultiCut?, in Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 2017, vol. 2017-Janua, pp. 7322?7331.

E.  Levinkov, Uhrig, J., Tang, S., Omran, M., Insafutdinov, E., Kirillov, A., Rother, C., Brox, T., Schiele, B., and Andres, B., ?Joint graph decomposition & node labeling: Problem, algorithms, applications?, in Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 2017, vol. 2017-Janua, pp. 1904?1912.

F.  Aström, Hühnerbein, R., Savarino, F., Recknagel, J., and Schnörr, C., ?MAP Image Labeling Using Wasserstein Messages and Geometric Assignment?, in Proc. SSVM, 2017, vol. 10302.

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.

F.  Aström, Petra, S., Schmitzer, B., and Schnörr, C., ?The Assignment Manifold: A Smooth Model for Image Labeling?, in Proc. 2nd Int. Workshop on Differential Geometry in Computer Vision and Machine Learning (DIFF-CVML'16; oral presentation; Grenander best paper award), 2016.

L. A.  Royer, Richmond, D. L., Rother, C., Andres, B., and Kainmueller, D., ?Convexity shape constraints for image segmentation?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2016, vol. 2016-Decem, pp. 402?410.

F.  Aström and Schnörr, C., ?Double-Opponent Vectorial Total Variation?, in Proc. ECCV, 2016.

T.  Beier, Andres, B., Köthe, U., and Hamprecht, F. A., ?An Efficient Fusion Move Algorithm for the Minimum Cost Lifted Multicut Problem?, ECCV. Proceedings, vol. LNCS 9906. Springer, pp. 715-730, 2016.

H.  Schilling, Diebold, M., Gutsche, M., Aziz-Ahmad, H., and Jähne, B., ?A fractal calibration pattern for improved camera calibration?, Forum Bildverarbeitung. 2016.

C.  Haubold, Ales, J., Wolf, S., and Hamprecht, F. A., ?A Generalized Successive Shortest Paths Solver for Tracking Dividing Targets?, ECCV. Proceedings, vol. LNCS 9911. Springer, pp. 566-582, 2016.

F.  Aström and Schnörr, C., ?A Geometric Approach to Color Image Regularization?. 2016.

F.  Aström, Petra, S., Schmitzer, B., and Schnörr, C., ?A Geometric Approach to Image Labeling?, in Proc. ECCV, 2016.

D.  Kondermann, Nair, R., Honauer, K., Krispin, K., Andrulis, J., Brock, A., Güssefeld, B., Rahimimoghaddam, M., Hofmann, S., Brenner, C., and Jähne, B., ?The HCI Benchmark Suite: Stereo and Flow Ground Truth With Uncertainties for Urban Autonomous Driving?, in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2016.

F.  Aström, Petra, S., Schmitzer, B., and Schnörr, C., ?Image Labeling by Assignment?. 2016.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems?, International Journal of Computer Vision, pp. 1-30, 2015.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems?, Int.~J.~Comp.~Vision, 2015.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems?, International Journal of Computer Vision, vol. 115, pp. 155?184, 2015.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems?, International Journal of Computer Vision, vol. 115, pp. 155?184, 2015.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems?, International Journal of Computer Vision, vol. 115, pp. 155?184, 2015.

H.  Abu Alhaija, Sellent, A., Kondermann, D., and Rother, C., ?Graphflow?6D large displacement scene flow via graph matching?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015, vol. 9358, pp. 285?296.

S.  Zheng, Prisacariu, V. Adrian, Averkiou, M., Cheng, M. Ming, Mitra, N. J., Shotton, J., Torr, P. H. S., and Rother, C., ?Object proposals estimation in depth image using compact 3D shape manifolds?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015, vol. 9358, pp. 196?208.

B.  Antic and Ommer, B., ?Per-Sample Kernel Adaptation for Visual Recognition and Grouping?, in Proceedings of the IEEE International Conference on Computer Vision, 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.

N.  Arnold, ?Visualisierung des Gasaustauschs an der windbewegten Wasseroberfläche mittels vertikaler Konzentrationsfelder von gelöstem Sauerstoff quer zur Windrichtung?, Institut für Umweltphysik, Universität Heidelberg, Germany, 2015.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for StructuredDiscrete Energy Minimization Problems?, CoRR, 2014.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems?, CoRR, vol. abs/1404.0533, 2014.

E.  Eyjolfsdottir, Branson, S., Burgos-Artizzu, X. P., Hoopfer, E. D., Schor, J., Anderson, D. J., and Perona, P., ?Detection of social actions in fruit flies?, Lecture Notes in Computer Science, vol. 8690, pp. 772?787, 2014.

B.  Antic and Ommer, B., ?Learning Latent Constituents for Recognition of Group Activities in Video?, in Proceedings of the European Conference on Computer Vision (ECCV) (Oral), 2014, p. 33--47.

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.

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.  Arnold, Bell, P., and Ommer, B., ?Automated Learning of Self-Similarity and Informative Structures in Architecture?, in Scientific Computing & Cultural Heritage, 2013.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Sungwoong, K., Kausler, B. X., Lellmann, J., Komodakis, N., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems?, in CVPR 2013. Proceedings, 2013.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Lellmann, J., Komodakis, N., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problem?, in CVPR, 2013.

L.  Fiaschi, Grosser, K. - H., Afonso, B., Zlatic, M., and Hamprecht, F. A., ?Keeping Count: Leveraging Temporal Context to Count Heavily Overlapping Objects?, ISBI 2013.Proceedings, pp. 656-659, 2013.

B.  Antic, Milbich, T., and Ommer, B., ?Less is More: Video Trimming for Action Recognition?, in Proceedings of the IEEE International Conference on Computer Vision, Workshop on Understanding Human Activities: Context and Interaction, 2013, p. 515--521.

M.  Atif, ?Optimal Depth Estimation and Extended Depth of Field from Single Images by Computational Imaging using Chromatic Aberrations?. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2013.

M.  Atif, ?Optimal Depth Estimation and Extended Depth of Field from Single Images by Computational Imaging using Chromatic Aberrations?, vol. Dissertation. IWR, Univ. Heidelberg, 2013.

M.  Atif and Jähne, B., ?Optimal Depth Estimation from a Single Image by Computational Imaging Using Chromatic Aberrations?, tm --- Technisches Messen, vol. 80, p. 343--348, 2013.

B.  Andres, Köthe, U., Kröger, T., Helmstaedter, M., Briggmann, K. L., Denk, W., and Hamprecht, F. A., ?3D Segmentation of SBFSEM Images of Neuropil by a Graphical Model over Supervoxel Boundaries?, Medical Image Analysis, vol. 16 (2012), pp. 796-805, 2012.

B. X.  Kausler, Schiegg, M., Andres, B., Lindner, M., Köthe, U., Leitte, H., Wittbrodt, J., Hufnagel, L., and Hamprecht, F. A., ?A Discrete Chain Graph Model for 3d+t Cell Tracking with High Misdetection Robustness?, in ECCV 2012. Proceedings, 2012, vol. 7574, pp. 144-157.

J.  Funke, Andres, B., Hamprecht, F. A., Cardona, A., and Cook, M., ?Efficient Automatic 3D-Reconstruction of Branching Neurons from EM Data?, CVPR 2012. Proceedings, pp. 1004-1011, 2012.

B.  Andres, Kröger, T., Briggmann, K. L., Denk, W., Norogod, N., Knott, G. W., Köthe, U., and Hamprecht, F. A., ?Globally Optimal Closed-Surface Segmentation for Connectomics?, in ECCV 2012. Proceedings, Part 3, 2012, pp. 778-791.

B.  Andres, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., ?The Lazy Flipper: Efficient Depth-Limited Exhaustive Search in Discrete Graphical Models?, in Computer Vision - {ECCV} 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part {VII}, 2012.

B.  Andres, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., ?The Lazy Flipper: Efficient Depth-limited Exhaustive Search in Discrete Graphical Models?, in ECCV 2012, 2012.

B.  Andres, Kappes, J. Hendrik, Beier, T., Köthe, U., and Hamprecht, F. A., ?The Lazy Flipper: Efficient Depth-limited Exhaustive Search in Discrete Graphical Models?, in ECCV 2012, 2012.

B.  Andres, Beier, T., and Kappes, J. H., ?OpenGM: A C++ Library for Discrete Graphical Models?, ArXiv e-prints, 2012.

M.  Atif and Jähne, B., ?Optimal Depth Estimation from a Single Image by Computational Imaging using Chromatic Aberrations?, in Forum Bildverarbeitung, 2012, p. 23--34.

D.  Kondermann, Abraham, S., Förstner, W., Gehrig, S., Imiya, A., Jähne, B., Klose, F., Magor, M., Mayer, H., Mester, R., Pajdla, T., Reulke, R., and Zimmer, H., ?On Performance Analysis of Optical Flow Algorithms?, in Outdoor and Large-Scale Real-Worls Scene Analysis, Dagstuhl-Workshop2011, 2012, vol. LNCS, pp. 329-355.

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.

D.  Kiefhaber, Schaper, J., Rocholz, R., Zappa, C. J., Asher, W. E., Jessup, A. T., and Jähne, B., ?Water Surface Topography Measurements with the Reflective Stereo Slope Gauge?, in AGU Ocean Science Meeting 2012, Salt Lake City, 2012.

B.  Andres, ?Automated Segmentation of Large 3D Images of Nervous Systems Using a Higher-order Graphical Model?. University of Heidelberg, 2011.

J. H.  Kappes, Speth, M., Andres, B., Reinelt, G., and Schnörr, C., ?Globally Optimal Image Partitioning by Multicuts?, in EMMCVPR, 2011, pp. 31-44.

J. H.  Kappes, Speth, M., Andres, B., Reinelt, G., and Schnörr, C., ?Globally Optimal Image Partitioning by Multicuts?, in EMMCVPR, 2011.

J. Hendrik Kappes, Speth, M., Andres, B., Reinelt, G., and Schnörr, C., ?Globally Optimal Image Partitioning by Multicuts?, in EMMCVPR, 2011.

A.  Monroy, Kröger, T., Arnold, M., and Ommer, B., ?Parametric Object Detection for Iconographic Analysis?, in Scientific Computing & Cultural Heritage, 2011.

B.  Andres, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., ?Probabilistic Image Segmentation with Closedness Constraints?, in ICCV, Proceedings, 2011, pp. 2611 - 2618.

B.  Andres, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., ?Probabilistic Image Segmentation with Closedness Constraints?, in Proceedings of ICCV, 2011.

B.  Andres, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., ?Probabilistic Image Segmentation with Closedness Constraints?, in Proceedings of ICCV, 2011.

B.  Antic and Ommer, B., ?Video Parsing for Abnormality Detection?, in Proceedings of the IEEE International Conference on Computer Vision, 2011, p. 2415--2422.

B.  Andres, Kappes, J. H., Köthe, U., Schnörr, C., and Hamprecht, F. A., ?An Empirical Comparison of Inference Algorithms for Graphical Modelswith Higher Order Factors Using OpenGM?, in Pattern Recognition, Proc.~32th DAGM Symposium, 2010, pp. 353-362.

B.  Andres, Kappes, J. H., Köthe, U., Schnörr, C., and Hamprecht, F. A., ?An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM?, in Pattern Recognition, Proc.~32th DAGM Symposium, 2010.

U.  Köthe, Andres, B., Kröger, T., and Hamprecht, F. A., ?Geometric Analysis of 3D Electron Microscopy Data?, in Proceedings of Workshop on Discrete Geometry and Mathematical Morphology (WADGMM), 2010, pp. 22-26.

B.  Andres, Köthe, U., Kröger, T., and Hamprecht, F. A., ?How to Extract the Geometry and Topology from Very Large 3D Segmentations?, ArXiv e-prints, 2010.

B.  Andres, Kappes, J. H., Köthe, U., and Hamprecht, F. A., ?The Lazy Flipper: MAP Inference in Higher-Order Graphical Models by Depth-limited Exhaustive Search?, ArXiv e-prints, 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.  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.

A.  Berthe, Kondermann, D., Christensen, C., Goubergrits, L., Garbe, C. S., Affeld, K., and Kertzscher, U., ?Three-dimensional, three-component wall-PIV?, Exp. Fluids, vol. 48, p. online, 2010.

S. V. E.  Keränen, DePace, A., Hendriks, C. L. Luengo, Fowlkes, C., Arbelaez, P., Ommer, B., Brox, T., Henriquez, C., Wunderlich, Z., Eckenrode, K., Fischer, B., Hammonds, A., and Celniker, S. E., ?Computational Analysis of Quantitative Changes in Gene Expression and Embryo Morphology between Species?, in Evolution-The Molecular Landscape, 2009.

B.  Andres, Köthe, U., Bonea, A., Nadler, B., and Hamprecht, F. A., ?Quantitative Assessment of Image Segmentation Quality by Random Walk Relaxation Times?, in Pattern Recognition. 31st DAGM Symposium, Jena, Germany, September 9-11, 2009. Proceedings, 2009, vol. 5748, pp. 502-511.

M.  Hanselmann, Köthe, U., Kirchner, M., Renard, B. Y., Amstalden, E. R., Glunde, K., Heeren, R. M. A., and Hamprecht, F. A., ?Towards Digital Staining using Imaging Mass Spectrometry and Random Forests?, Journal of Proteome Research, vol. 8, pp. 3558-3567, 2009.

R.  Szeliski, Zabih, R., Scharstein, D., Veksler, O., Kolmogorov, V., Agarwala, A., Tappen, M., and Rother, C., ?A comparative study of energy minimization methods for Markov random fields with smoothness-based priors?, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, pp. 1068?1080, 2008.

R.  Szeliski, Zabih, R., Scharstein, D., Veksler, O., Kolmogorov, V., Agarwala, A., Tappen, M., and Rother, C., ?A comparative study of energy minimization methods for Markov random fields with smoothness-based priors?, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, pp. 1068?1080, 2008.

A.  Haja, Abraham, S., and Jähne, B., ?A Comparison of Region Detectors for Tracking?, in Pattern Recognition, Proceedings 30th DAGM Symposium, Munich, Germany, June 2008, 2008, vol. 5096, p. 112--121.

M.  Hanselmann, Kirchner, M., Renard, B. Y., Amstalden, E. R., Glunde, K., Heeren, R. M. A., and Hamprecht, F. A., ?Concise Representation of MS Images by Probabilistic Latent Semantic Analysis?, Analytical Chemistry, vol. 80, pp. 9649-9658, 2008.

B.  Andres, Kondermann, C., Kondermann, D., Köthe, U., Hamprecht, F. A., and Garbe, C. S., ?On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation?, Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on, pp. 1-6, 2008.

B.  Andres, Kondermann, C., Kondermann, D., Hamprecht, F. A., and Garbe, C. S., ?On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation?, in IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2008, 2008, p. 1--6.

J. F.  Acker, Berkels, B., Bredies, K., Diallo, M. S., Droske, M., Garbe, C. S., Holschneider, M., Hron, J., Kondermann, C., Kulesh, M., Maass, P., Olischläger, N., and Peitgen, H. - O., ?Inverse Problems and Parameter Identification in Image Processing?, Mathematical Methods in Time Series Analysis and Digital Image Processing. Springer, p. 111--151, 2008.

A.  Haja, Jähne, B., and Abraham, S., ?Localization accuracy of region detectors?, in Proceedings CVPR'08, 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.

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.

A.  Sellen, Fogg, A., Aitken, M., Hodges, S., Rother, C., and Wood, K., ?Do life-logging technologies support memory for the past? An experimental study using sensecam?, in Conference on Human Factors in Computing Systems - Proceedings, 2007, pp. 81?90.

B.  Andres, ?Model Selection in Optical Flow-Based Motion Estimation by Means of Residual Analysis?, University of Heidelberg, 2007.

B.  Andres, ?Model Selection in Optical Flow-Based Motion Estimation by Means of Residual Analysis?, University of Heidelberg, 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.

H. R.  Künsch, Agrell, E., and Hamprecht, F. A., ?Optimal lattices for sampling?, IEEE Transactions on Information Theory, vol. 51, pp. 634-647, 2005.

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.

C. J.  Zappa, Asher, W. E., Jessup, A. T., Klinke, J., and Long, S. R., ?Microbreaking and the enhancement of air-water transfer velocity?, J. Geophys. Res., vol. 109, p. C08S16, 2004.

M. C.  Scholes, Matrai, P. A., Andreae, M. O., Smith, K. A., Manning, M. R., Artaxo, P., Barrie, L. A., Bates, T. S., Butler, J. H., Ciccioli, P., Cieslik, S. A., Delmas, R. J., and Dentener, F. J., ?Biosphere-Atmosphere Interactions?, Atmospheric Chemistry in a Changing World, An Integration and Synthesis of a Decade of Tropospheric Chemistry Research. Springer, p. 19--71, 2003.

F. A.  Hamprecht and Agrell, E., ?Exploring a space of materials: spatial sampling design and subset selection?, Experimental Design for Combinatorial and High Throughput Materials Development. Wiley, 2003.

C. J.  Zappa, Asher, W. E., Jessup, A. T., Klinke, J., and Long, S. R., ?Effect of microscale wave breaking on air-water gas transfer?, in Gas Transfer at Water Surfaces, 2002, vol. 127, p. 23--29.

P. J.  Gee, Hamprecht, F. A., Schuler, L. D., van Gunsteren, W. F., Duchardt, E., Schwalbe, H., Albert, M., and Seebach, D., ?A molecular dynamics simulation study of the conformational preferences of oligo-(3- hydroxyalcanoic acids) in chloroform solution?, Helv. Chim. Acta, vol. 85, pp. 618-632, 2002.

F. A.  Hamprecht, Achleitner, U., Krismer, A. C., Lindner, K. H., Wenzel, V., Strohmenger, H. - U., Thiel, W., and van Gunsteren, W. F., ?Fibrillation power: An alternative method of ECG spectral analysis for prediction of countershock success in a porcine model of ventricular fibrillation?, Resuscitation, vol. 50, pp. 287-296, 2001.

A. M.  Andrew, ?Multiple View Geometry in Computer Vision?, Kybernetes, vol. 30. pp. 1333?1341, 2001.

A. H. M.  Blom, Brassel, J. - O., von Brocke, M., and Mittler, M., ?Quality classification and process control of micro-spot laser welding?, in Proceedings of the Ninth International FAIM Conference - Flexible Automation and Intelligent Manufacturing, Tilburg, 1999, p. 929--941.

B.  Jähne and Herrmann, H., ?3D-Exploration mit einer sich bewegenden Kamera?, in Bildverarbeitung'97, Forschen, Entwickeln, Anwenden, 1997.

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.

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.

P.  Geißler, Scholz, T., Jähne, B., Schmidt, C., Suhr, H., and Wehnert, G., ?Depth-from-Focus Verfahren zur absoluten Größen- und Konzentrationsbestimmung kleiner Teilchen?, in Bildverarbeitung'95 - Forschen, Entwickeln, Anwenden, 1995, p. 365--380.

H.  Haußecker, Jähne, B., and Köhler, H. - J., ?Effiziente Filterstrukturen auf Mehrgitter-Datenstrukturen?, in Bildverarbeitung'95 - Forschen, Entwickeln, Anwenden, 1995, p. 43--57.

B.  Jähne, ?Zuverlässig, Schnell und Genau? - Bedeutung von Algorithmen in der Bildverarbeitung für die Praxis?, in Bildverarbeitung'95 - Forschen, Entwickeln, Anwenden, 1995, p. 3--14.