Publications

Export 1909 results:
Author Title [ Type(Desc)] Year
Conference Paper
Snoeij, P, Vogelzang, J, Calkoen, C J, Oost, W A, van Halsema, D and Jähne, B (1990). A high resolution scatterometer for radar backscatter measurements of wind generated waves in wind/wave tanks. European Micro Wave Conference 1990
Vineet, V, Rother, C and Torr, P H S (2013). Higher order priors for joint intrinsic image, objects, and attributes estimation. Advances in Neural Information Processing Systems
Hornáček, M, Besse, F, Kautz, J, Fitzgibbon, A and Rother, C (2014). Highly overparameterized optical flow using PatchMatch belief propagation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8691 LNCS 220–234
Netzsch, T and Jähne, B (1995). A high-performance system for 3-dimensional particle tracking velocimetry in turbulent flow research using image sequences. Proc. ISPRS Intercommission workshop From Pixels to Sequences, Zürich, March 22-24. Risc Books. 30 Part 5W1 202--207
Kräuter, C, Trofimova, D, Nagel, L and Jähne, B (2014). High-resolution 2-D fluorescence imaging of gas transfer at a free water surface. Ocean Science Meeting, 23--28. 02. 2014, Honolulu Hawaii
Friedl, F, Herzog, A G, Warken, P and Jähne, B (2011). Hochauflösende raumzeitliche Messung von flüssigkeitsseitigen Konzentrationsfeldern an der wind- und wellenbewegten Wasseroberfläche. DPG Frühjahrstagung Dresden. http://www.dpg-verhandlungen.de/year/2011/conference/dresden/part/up/session/5/contribution/3
Haußecker, H, Shear, R, Melville, W K and Jähne, B (1995). Horizontal and vertical spatial structures of turbulence beneath short wind waves. IAPSO Proceedings, XXI General Assembly, Honolulu, Hawai, August 1995, PS-10 Spatial Structure of Short Ocean Waves. 384
Kleesiek, J, Biller, A, Urban, G, Köthe, U, Bendszus, M and Hamprecht, F A (2014). ilastik for Multi-modal Brain Tumor Segmentation. MICCAI BraTS (Brain Tumor Segmentation) Challenge. Proceedings, 3rdplace. 12-17PDF icon Technical Report (405.91 KB)
Sommer, C, Straehle, C N, Köthe, U and Hamprecht, F A (2011). ilastik: Interactive Learning and Segmentation Toolkit. Eighth IEEE International Symposium on Biomedical Imaging (ISBI 2011).Proceedings. 230-233
Schellewald, C, Keuchel, J and Schnörr, C (2001). Image labeling and grouping by minimizing linear functionals over cones. Proc. Third Int. Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR'01). Springer, INRIA, Sophia Antipolis, France. 2134 267–282
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
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
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
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 and Geißler, P (1995). An imaging optical technique for bubble measurements. Proc. Sea Surface Sound '94. World Scientific. 290--296
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
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
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
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)
Scholz, T, Jähne, B, Suhr, H, Wehnert, G, Geissler, P and Schneider, K (1995). In situ determination of cell concentration in bioreactors with a new depth from focus technique. Computer Analysis of Images and Patterns. Springer. 970 392--399
Haußecker, H, Jähne, B and Jähne, B (1995). In situ measurements of the air-sea gas transfer rate during the MBL/CoOP west coast experiment. Air-Water Gas Transfer - Selected Papers from the Third International Symposium on Air-Water Gas Transfer. AEON. 775--784
Kirillov, A, Savchynskyy, B, Schlesinger, D, Vetrov, D and Rother, C (2015). Inferring M-best diverse labelings in a single one. Proceedings of the IEEE International Conference on Computer Vision. 2015 Inter 1814–1822
Scholz, T, Jähne, B, Suhr, H, Wehnert, G, Geissler, P and Schneider, K (1996). In-situ determination of cell concentration in bioreactors with a new depth-from-focus technique. Proc.\ Optical 3-D Measurement Techniques IV, Zurich, Sept. 29 - Oct. 2, 1997. 392--399
Haußecker, H and Jähne, B (1994). In-situ measurements of the air-sea gas transfer using heat as a proxy tracer. Proc. 2nd Inter. Conf. on Air-Sea Interaction and on Meteorology and Oceanography of the Coastal Zone, Lisbon, 22.--27. September 1994
Kandemir, M and Hamprecht, F A (2014). Instance Label Prediction by Dirichlet Process Multiple Instance Learning. UAI. ProceedingsPDF icon Technical Report (4.26 MB)

Pages