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J. Yarkony, Beier, T., Baldi, P., and Hamprecht, F. A., “Parallel Multicut Segmentation via Dual Decomposition”, in New Frontiers in Mining Complex Patterns - Third International Workshop, {NFMCP} 2014, Held in Conjunction with {ECML-PKDD} 2014, Nancy, France, September 19, 2014, Revised Selected Papers, 2014.
T. Milbich, Roth, K., and Ommer, B., “PADS: Policy-Adapted Sampling for Visual Similarity Learning”, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020, vol. 1, no. 1.
N. J. Mitra, Stam, J., Xu, K., Cheng, M. - M., Prisacariu, V. Adrian, Zheng, S., Torr, P. H. S., and Rother, C., “Pacific Graphics 2015 DenseCut: Densely Connected CRFs for Realtime GrabCut”, vol. 34, 2015.
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E. J. Bock, Edson, J. B., Frew, N. M., Hara, T., Haußecker, H., Jähne, B., McGilles, W. R., McKenna, S. P., Nelson, R. K., Schimpf, U., and Uz, B. M., “Overview of the CoOP experiments: physical and chemical measurements parameterizing air-sea gas transfer”, in Gas Transfer at Water Surfaces, 2002, vol. 127, p. 39--44.
B. Y. Renard, Xu, B., Kirchner, M., Zickmann, F., Winter, D., Korten, S., Brattig, N., Tzur, A., Hamprecht, F. A., and Steen, H., “Overcoming species boundaries in peptide identification with BICEPS”, Molecular and Cellular Proteomics, vol. 11, 2012.PDF icon Technical Report (444.6 KB)
S. Meister, Jähne, B., and Kondermann, D., “Outdoor Stereo Camera System for the Generation of Real-World Benchmark Data Sets”, Optical Engineering, vol. 51, pp. 021107-1, 2012.
S. Meister, Jähne, B., and Kondermann, D., “Outdoor stereo camera system for the generation of real-world benchmark data sets”, Opt. Eng., vol. 51, p. 021107, 2012.
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.PDF icon PDF (3.1 MB)
M. Lell, “Ortsaufgelöste Bestimmung von Blattwachstum durch Strukturanalyse von Bildsequenzen aus dem nahen Infrarot”, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1996.
S. Wanner, “Orientation Analysis in 4D Light Fields”. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2014.
S. Wanner, “Orientation Analysis in 4D Light Fields”, vol. Dissertation. IWR, Univ. Heidelberg, 2014.
F. Rathke, Schmidt, S., and Schnörr, C., “Order Preserving and Shape Prior Constrained Intra-Retinal Layer Segmentation in Optical Coherence Tomography”, in MICCAI, 2011, vol. 6893, pp. 370–377.
F. Rathke, Schmidt, S., and Schnörr, C., “Order Preserving and Shape Prior Constrained Intra-Retinal Layer Segmentation in Optical Coherence Tomography”, in MICCAI, 2011, vol. 6893, p. 370--377.PDF icon Technical Report (1.12 MB)
F. Rathke, Schmidt, S., and Schnörr, C., “Order preserving and shape prior constrained intra-retinal layer segmentation in optical coherence tomography”, Medical Image Computing and Computer-Assisted Intervention (MICCAI 2011), vol. 6893. Springer, pp. 370–377, 2011.
F. Rathke, Schmidt, S., and Schnörr, C., “Order Preserving and Shape Prior Constrained Intra-Retinal Layer Segmentation in Optical Coherence Tomography”, in MICCAI 2011, Proceedings, 2011, vol. 6893, pp. 370-377.
A. - S. Wahl, Büchler, U., Brändli, A., Brattoli, B., Musall, S., Kasper, H., Ineichen, B. V., Helmchen, F., Ommer, B., and Schwab, M. E., “Optogenetically stimulating the intact corticospinal tract post-stroke restores motor control through regionalized functional circuit formation”, Nature Communications, p. (ASW & UB contributed equally; BO and MES contributed equally), 2017.
M. Schmidt, “Optische Methoden zur Form- und Positionserkennung von Körpern in Werkzeugmaschinen”, Fried­rich-Schil­ler-Uni­ver­si­tät Je­na, 2008.
J. Tschiersch, “Optische Messung von Kapillarwellen im Hinblick auf den Gasaustausch”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1980.
C. Rother, Kolmogorov, V., Lempitsky, V., and Szummer, M., “Optimizing Binary MRFs via Extended Roof Duality Technical Report MSR-TR-2007-46”, Computing, 2007.
C. Rother, Kolmogorov, V., Lempitsky, V., and Szummer, M., “Optimizing binary MRFs via extended roof duality”, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2007.
J. Restle, “Optimierung der Wei\DFlichtinterferometrie für Applikationen der industriellen Qualitätskontrolle”. University of Heidelberg, 2003.
M. Erz and Jähne, B., “Optimierte Kameraauswahl für maschinelles Sehen durch standardisierte Charakterisierung des bildgebenden Systeme”, in Forum Bildverarbeitung, 2010, p. 155--166.
J. Lellmann, Lenzen, F., and Schnörr, C., “Optimality Bounds for Variational Relaxations of Optimal Partition Problems”, 2010.
J. Lellmann, Lenzen, F., and Schnörr, C., “Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem”, Journal of Mathematical Imaging and Vision, vol. 47 (3), pp. 239-257, 2013.
J. Lellmann, Lenzen, F., and Schnörr, C., “Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem”, in Energy Min. Meth. Comp. Vis. Patt. Recogn., 2011, pp. 132-146.
J. Lellmann, Lenzen, F., and Schnörr, C., “Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem”, in Energy Min. Meth. Comp. Vis. Patt. Recogn., 2011, vol. 6819, p. 132--146.PDF icon Technical Report (1 MB)
J. Lellmann, Lenzen, F., and Schnörr, C., “Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem”, Journal of Mathematical Imaging and Vision, vol. 47, pp. 239-257, 2012.PDF icon Technical Report (616.16 KB)
J. Lellmann, Lenzen, F., and Schnörr, C., “Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem”, in Energy Min. Meth. Comp. Vis. Patt. Recogn., 2011, vol. 6819, pp. 132–146.
J. Lellmann, Lenzen, F., and Schnörr, C., “Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem”, IPA group, Heidelberg University, 2011.
J. Lellmann, Lenzen, F., and Schnörr, C., “Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem”, Journal of Mathematical Imaging and Vision, vol. 47, pp. 239-257, 2012.
M. Erz and Jähne, B., “Optimale und differenzierte Kameraauswahl nach dem EMVA-Standard 1288”, in Forum Bildverarbeitung, 2012, p. 35--46.
H. Scharr, “Optimale Operatoren in der Digitalen Bildverarbeitung”. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2000.
M. Erz and Jähne, B., “Optimale Kameraauswahl für maschinelles Sehen durch standardisierte Charakterisierung”, tm --- Technisches Messen, vol. 78, p. 377--383, 2011.
H. Scharr, “Optimal separable interpolation of color images with bayer array format”, DFG research unit Image Sequence Analysis to Investigate Dynamic Processes, Interdisciplinary Center for Scientific Computing, University of Heidelberg, Germany, 2000.
M. Jehle and Jähne, B., “Optimal Lighting for Defect Detection: Illumination Systems, Machine Learning, and Practical Verification”, in Forum Bildverarbeitung, Regensburg, 02.-03.12.2010, 2010, pp. 301-312.

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