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Schleicher, J (2011). Image Processing For Super-Resolution Localization Microscopy Utilizing An Fpga Accelerator. University of Heidelberg
Zisler, M, Aström, F, Petra, S and Schnörr, C (2017). Image Reconstruction by Multilabel Propagation. Proc. SSVM. Springer. 10302
Lempitsky, V, Blake, A and Rother, C (2008). Image segmentation by branch-and-mincut. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5305 LNCS 15–29
Lempitsky, V, Blake, A and Rother, C (2008). Image segmentation by branch-and-mincut. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5305 LNCS 15–29
Lempitsky, V, Kohli, P, Rother, C and Sharp, T (2009). Image segmentation with a bounding box prior. Proceedings of the IEEE International Conference on Computer Vision. 277–284
Geese, M (2013). Image Sensor Nonuniformity Correction by a Scene-Based Maximum Likelihood Approach. IWR, Univ. Heidelberg. Dissertation
Geese, M (2013). Image Sensor Nonuniformity Correction by a Scene-Based Maximum Likelihood Approach. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg. http://www.ub.uni-heidelberg.de/archiv/14391
Jähne, (2003). Image sequence analysis in environmental and live sciences. Proceedings of the 25th DAGM Symposium on Pattern Recognition. Springer. 2781 608--617
Jähne, (1987). Image sequence analysis of complex physical objects: nonlinear small scale water surface waves. Proc. of 1st International Conference on Computer Vision. IEEE. 191--200
Jähne, B, Klinke, J, Geißler, P and Hering, F (1993). Image sequence analysis of ocean wind waves. Imaging in Transport Processes. Begell House Publishers. 257--268. http://www.dl.begellhouse.com/references/1bb331655c289a0a,36adf33e6f249361.html
Wenig, M, Leue, C, Kraus, S, Wagner, T, Platt, U and Jähne, B (2001). Image sequence analysis of satellite NO$_2$ concnetration maps. Pattern Recognition, 23rd DAGM Symposium Munich. Springer. 2191 223--230
Jähne, B, Jähne, B and Haußecker, H (1999). Image warping. Handbook of Computer Vision and Applications. Volume II: Signal Processing and Pattern Recognition. Academic Press. 193--206
Töppe, E, Oswald, M R, Cremers, D and Rother, C (2011). Image-based 3D modeling via cheeger sets. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6492 LNCS 53–64
Frank, M and Hamprecht, F A (2011). Image-Based Supervision of a Periodically Working Machine. Pattern Analysis and Applications. 1-10PDF icon Technical Report (466.61 KB)
Falkenroth, A and Jähne, B (2006). Imaging concentration profiles of water boundary layer by Double-Dye LIF and inverse modelling. Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Heidelberg, 15.-17.03.2006. Deutsche Physikalische Gesellschaft. http://www.dpg-verhandlungen.de/2006/heidelberg/up.html
Jähne, (1993). Imaging of gas transfer across gas/liquid interfaces. Imaging in Transport Processes. Begell House Publishers. 247--256. http://www.dl.begellhouse.com/references/1bb331655c289a0a,36adf33e6f249361.html
Jähne, B, Klinke, J and Waas, S (1994). Imaging of short ocean wind waves: a critical theoretical review. J. Opt. Soc. Am. A. 11 2197--2209
Herzog, A G (2010). Imaging of Water-sided Gas-Concentration Fields at a Wind-Driven, Wavy Air-Water Interface. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ. Heidelberg. Dissertation
Jähne, B and Geißler, P (1995). An imaging optical technique for bubble measurements. Proc. Sea Surface Sound '94. World Scientific. 290--296
Geißler, P, Jähne, B, Geißler, P and Haußecker, H (1999). Imaging optics. Handbook of Computer Vision and Applications. Academic Press. 1: Sensors and Imaging 63--101
Geißler, P and Jähne, B (2000). Imaging optics. Computer Vision and Applications - A Guide for Students and Practitioners. Academic Press. 53--84
Rocholz, R and Jähne, B (2006). Imaging System for combined slope/height measurements of short wind waves : ISHG. Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Heidelberg, 15.-17.03.2006. Deutsche Physikalische Gesellschaft. http://www.dpg-verhandlungen.de/2006/heidelberg/up.html
Meijering, E, Carpenter, A E, Peng, H, Hamprecht, F A and Olivo-Marin, J (2016). Imagining the future of bioimage analysis. Nature Biotechnology. 34 1250-1255PDF icon Technical Report (924.57 KB)
Jähne, B and Jähne, B (1995). Impact of quantitative visualization and image processing on the study of small-scale air-sea interaction. Air-Water Gas Transfer, Selected Papers, 3rd Intern. Symp. on Air-Water Gas Transfer. AEON. 3--12
Schapowalow, A (2011). Implementierung Der "Focus-Sweep" Technik Mit Hilfe Von Scheimpflugoptik Und Tdi-Technik. University of Heidelberg
Schapowalow, A (2011). Implementierung Der Focus-Sweep Technik Mit Hilfe Von Scheimpflugoptik Und Tdi-Technik. Fakultät für Mathematik und Informatik, Ruprecht-Karls-Universität Heidelberg, Germany
Censor, Y, Gibali, A, Lenzen, F and Schnörr, C (2016). The Implicit Convex Feasibility Problem and Its Application to Adaptive Image Denoising. J. Comp. Math. 34 608-623
Biller, A, Badde, S, Nagel, A, Neumann, J O, Wick, W, Hertenstein, A, Bendszus, M, Sahm, F, Benkhedah, N and Kleesiek, J (2016). Improved Brain Tumor Classification by Sodium MR Imaging: Prediction of IDH Mutation Status and Tumor Progression. American Journal of Neuroradiology. 37 66-73
Renard, B Y (2007). An Improved Method For Peak Identification In Proteomic Mass Spectrometry Data. University of Heidelberg
Kiefhaber, D, Rocholz, R and Jähne, B (2011). Improved optical instrument for the measurement of water wave statistics in the field. Gas Transfer at Water Surfaces 2010. 524--534. http://hdl.handle.net/2433/156156
Withopf, D and Jähne, B (2007). Improved training algorithm for tree-like classifiers and its application to vehicle detection. Proc. IEEE Intelligent Transportation Systems Conference (ITSC). 642--647
Hennies, J (2017). Improvement And Validation Of Neural Em Volume Image Segmentation By High-Level Information. University of Heidelberg
Krasowski, N, Beier, T, Knott, G W, Köthe, U, Hamprecht, F A and Kreshuk, A (2015). Improving 3D EM Data Segmentation by Joint Optimization over Boundary Evidence and Biological Priors. 12th {IEEE} International Symposium on Biomedical Imaging, {ISBI} 2015, Brooklyn, NY, USA, April 16-19, 2015. 536-539PDF icon Technical Report (2.25 MB)
Rhemann, C, Rother, C and Gelautz, M (2008). Improving color modeling for alpha matting. BMVC 2008 - Proceedings of the British Machine Vision Conference 2008
Büchler, U, Brattoli, B and Ommer, B (2018). Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning. Proceedings of the European Conference on Computer Vision (ECCV). (UB and BB contributed equally), Munich, GermanyPDF icon Article (5.34 MB)PDF icon buechler_eccv18_poster.pdf (1.65 MB)

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