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I

U. Schimpf, Garbe, C. S., and Jähne, B., “Investigation of transport processes across the sea surface microlayer by infrared imagery”, J. Geophys. Res., vol. 109, p. C08S13, 2004.

U. Schimpf, Haußecker, H., and Jähne, B., “On the investigations of micro turbulence at the water surface using infrared imaging”, in IARGSS 2000, 2000.

U. Schimpf, Jähne, B., and Haußecker, H., “On the investigations of statistical properties of the micro turbulence at the ocean surface”, in Gas Transfer at Water Surfaces, 2002, vol. 127, p. 51--57.

A. Blattmann, Milbich, T., Dorkenwald, M., and Ommer, B., “iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis”, in Proceedings of the International Conference on Computer Vision (ICCV), 2021.

O. Hosseini Jafari, Mustikovela, S. K., Pertsch, K., Brachmann, E., and Rother, C., “iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects”, ACCV. Proceedings, in press. 2018.

Technical Report (3.28 MB)

O. Hosseini Jafari, Mustikovela, S. Karthik, Pertsch, K., Brachmann, E., and Rother, C., “iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019, vol. 11363 LNCS, pp. 477–492.

W. S. Broecker, Ledwell, J. R., Takahashi, T., Weiss, R., Merlivat, L., Memery, L., Jähne, B., and Münnich, K. O., “Isotopic versus micrometeorologic ocean CO$_2$ fluxes: A serious conflict”, J. Geophys. Res., vol. 91, p. 10517--10528, 1986.

P. Hanslovsky, “Isotropic Reconstruction of Neural Morphology from Large Non-Isotropic 3D Electron MIcroscopy”. Heidelberg University, 2019.

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

J

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.

S. Vicente, Kolmogorov, V., and Rother, C., “Joint optimization of segmentation and appearance models”, in Proceedings of the IEEE International Conference on Computer Vision, 2009, pp. 755–762.

J. Berger and Schnörr, C., “Joint Recursive Monocular Filtering of Camera Motion and Disparity Map”, in 38th German Conference on Pattern Recognition, Hannover, 2016.

Technical Report (2.34 MB)

J. Berger and Schnörr, C., “Joint Recursive Monocular Filtering of Camera Motion and Disparity Map”, in 38th German Conference on Pattern Recognition, 2016.

A. Stefanoiu, Weinmann, A., Storath, M., Navab, N., and Baust, M., “Joint Segmentation and Shape Regularization with a Generalized Forward Backward Algorithm”, IEEE Transactions on Image Processing, vol. 25, no. 7, pp. 3384 - 3394, 2016.

Technical Report (3.55 MB)

F. Diego, Serrat, J., and López, A. M., “Joint SpatioTemporal Alignment of Sequences”, IEEE Transactions on Multimedia (TMM), vol. PP (99), p. 1, 2012.

Technical Report (5.15 MB)

A. Kirillov, Schlesinger, D., Zheng, S., Savchynskyy, B., Torr, P. H. S., and Rother, C., “Joint training of generic CNN-CRF models with stochastic optimization”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2017, vol. 10112 LNCS, pp. 221–236.

M. Storath, Weinmann, A., and Unser, M., “Jump-penalized least absolute values estimation of scalar or circle-valued signals”, Information and Inference, vol. 6, no. 3, pp. 225–245, 2017.

Technical Report (3.4 MB)

K

R. Rocholz, “Kalibrierung der Color Imaging Slope Gauge & Auswertung der Wellenmessungen”, Institut für Umweltphysik, Universität Heidelberg, 2007.

B. Jähne, “Kameraauswahl nach objektiven Kriterien - Der EMVA1288 Kamerastandard”. 2008.

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.

Technical Report (711.68 KB)

B. H. Menze, “Klassifikation von Magnetresonanzspektren”, University of Heidelberg, 2004.

D. Fuß, “Kombinierte Höhen- und Neigungsmessung von winderzeugten Wasserwellen am Heidelberger Aeolotron”. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2004.

C. N. Straehle, Peter, S., Köthe, U., and Hamprecht, F. A., “K-smallest Spanning Tree Segmentations”, in German Conference on Pattern Recognition (DAGM/GCPR). Proceedings, 2013, pp. 375-384.

Technical Report (1.18 MB)

C. Schnörr, Ed., “Künstliche Intelligenz: Special Issue on Medical Computer Vision”, vol. 3. 2000.

L

P. Geißler and Jähne, B., “Laboratory and inshore measurements of bubble size distributions”, in Proc. Natural Physical Processes associated with Sea Surface Sound, Southampton, July 21--24, 1997, 1997, p. 147--154.

K. E. Krall, “Laboratory Investigations of Air-Sea Gas Transfer under a Wide Range of Water Surface Conditions”, vol. Dissertation. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2013.

S. Friman, “Laboratory investigations of concentration and wind profiles close to the wind-driven wavy water surface”, vol. Dissertation. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ. Heidelberg, Heidelberg, 2020.

M. Beyer, Jähne, B., and Melville, W. K., “Laboratory studies of long-wave/short-wave interaction using wavelet analysis of space-time images”, in Proc. 2nd Inter. Conf. on Air-Sea Interaction and on Meteorology and Oceanography of the Coastal Zone, Lisbon, 22.--27. September 1994, 1994.

K. E. Richter and Jähne, B., “A laboratory study of the Schmidt number dependency of air-water gas transfer”, in Gas Transfer at Water Surfaces 2010, 2011, p. 322--332.

F. Hering, “Lagrangesche Untersuchungen des Strömungsfeldes unterhalb der wellenbewegten Wasseroberfläche mittels Bildfolgenanalyse”. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1996.

R. Walecki, “Large-Scale Automatic Reconstruction of Myelianated Axons and Detection of the Nodes of Ranvier”, University of Heidelberg, 2013.

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.

Technical Report (446.28 KB)

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.

Technical Report (532.64 KB)

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, 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.

Technical Report (625.06 KB)

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