@incollection {jaehne2020,
	title = {What controls air-sea gas exchange at extreme wind speeds? Evidence from laboratory experiments},
	year = {2020},
	pages = {133{\textendash}150},
	publisher = {Springer},
	doi = {10.1007/978-3-030-36371-0_10},
	author = {Bernd J{\"a}hne},
	editor = {P. Vlahos and E. Monahan}
}
@conference {6324,
	title = {Weakly Supervised Learning of Dense SemanticCorrespondences and Segmentation},
	booktitle = {German Conference on Pattern Recognition (GCPR)},
	year = {2019},
	author = {Nikolai Ufer and Kam To Lui and Katja Schwarz and Paul Warkentin and Bj{\"o}rn Ommer}
}
@mastersthesis {6341,
	title = {Weakly Supervised Semantic Segmentation},
	year = {2019},
	school = {Heidelberg University},
	author = {Pandey, N}
}
@mastersthesis {6143,
	title = {Weakly Supervised Detection with Gaussian Processes},
	year = {2016},
	school = {University of Heidelberg},
	author = {Manuel Hau{\ss}mann}
}
@article {kiefhaber2015b,
	title = {Water wave measurement from stereo images of specular reflections},
	volume = {26},
	year = {2015},
	pages = {115401},
	abstract = {A new optical instrument for the study of ocean waves, the Reflective Stereo Slope Gauge, has been developed. Its purpose is to measure ocean wave field parameters that are crucial to the air-sea exchange of momentum, heat and gases. The instrument combines a statistical wave slope measurement method similar to Cox and Munk{\textquoteright}s sun glitter technique with a dedicated stereo camera and associated illumination setup for direct wave height measurements. The instrument output was validated under controlled conditions in a wind-wave facility.},
	doi = {10.1088/0957-0233/26/11/115401},
	author = {Daniel Kiefhaber and Guillemette Caulliez and Christopher J Zappa and Julia Schaper and Bernd J{\"a}hne}
}
@proceedings {kreshuk_15_who,
	title = {Who is talking to whom: synaptic partner detection in anisotropic volumes of insect brain},
	volume = {LNCS 9349},
	year = {2015},
	pages = {661-668},
	publisher = {Springer},
	doi = {10.1007/978-3-319-24553-9_81},
	author = {Anna Kreshuk and Funke, J. and A. Cardona and Fred A. Hamprecht}
}
@conference {esparaza2014a,
	title = {Wide base stereo with fisheye optics: a robust approach for 3D reconstruction in driving assistance},
	booktitle = {Pattern Recognition, 36th German Conference, GCPR 2014, M{\"u}nster, Germany, September 2-5, 2014},
	volume = {8753},
	year = {2014},
	pages = {342--353},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-319-11752-2_27},
	author = {Esparza, Jose and Helmle, Michael and Bernd J{\"a}hne},
	editor = {Jiang, Xiaoyi and Joachim Hornegger and Reinhard Koch}
}
@mastersthesis {xu_13_weakly,
	title = {Weakly supervised learning: Active schemes and partial annotations},
	year = {2013},
	school = {University of Heidelberg},
	author = {Xu, B.}
}
@conference {straehle_13_weakly,
	title = {Weakly supervised learning of image partitioning using decision trees with structured split criteria},
	booktitle = {ICCV 2013. Proceedings},
	year = {2013},
	note = {1},
	pages = {1849-1856},
	doi = {10.1109/ICCV.2013.232},
	author = {Christoph N. Straehle and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@article {marquez_13_when,
	title = {When is a confidence measure good enough?},
	journal = {submitted to CVPR 2013},
	year = {2013},
	note = {1},
	author = {Márquez-Valle, P. and Gil, D. and Hernàndez-Sabaté, A. and Daniel Kondermann}
}
@conference {kiefhaber2012,
	title = {Water Surface Topography Measurements with the Reflective Stereo Slope Gauge},
	booktitle = {AGU Ocean Science Meeting 2012, Salt Lake City},
	year = {2012},
	doi = {10.5281/zenodo.12333},
	author = {Daniel Kiefhaber and Julia Schaper and Roland Rocholz and Christopher J. Zappa and William E. Asher and Jessup, A.T. and Bernd J{\"a}hne}
}
@conference {SchmitzerSchnoerr-SSVM2011,
	title = {Weakly Convex Coupling Continuous Cuts and Shape Priors},
	booktitle = {Scale Space and Variational Methods (SSVM 2011)},
	year = {2012},
	pages = {423-434},
	author = {Bernhard Schmitzer and Christoph Schn{\"o}rr}
}
@article {Meister2012,
	title = {When can we use KinectFusion for ground truth acquisition?},
	journal = {Proc Workshop on \ldots},
	year = {2012},
	pages = {3{\textendash}8},
	abstract = {Abstract{\textemdash}KinectFusion is a method for real-time capture of dense 3D geometry of the physical environment using a depth sensor. The system allows capture of a large dataset of 3D scene reconstructions at very low cost. In this paper we discuss the properties of the ...$\backslash$n},
	url = {http://meshlab.sourceforge.net/ http://www.msr-waypoint.net/en-us/um/people/pkohli/papers/mikhrk_iros_dataset_2012.pdf\%5Cnpapers3://publication/uuid/2615CF9D-C632-4E39-B1C4-B32A4A5D339C},
	author = {Meister, Stephan and Izadi, Shahram and Kohli, Pushmeet and M H{\"a}mmerle}
}
@conference {meister_12_when,
	title = {When Can We Use KinectFusion for Ground Truth Acquisition?},
	booktitle = {Workshop on Color-Depth Camera Fusion in Robotics, IEEE International
Conference on Intelligent Robots and Systems},
	year = {2012},
	note = {1},
	author = {Stephan Meister and Izadi, S. and Kohli, P. and H{\"a}mmerle, M. and Carsten Rother and Daniel Kondermann}
}
@mastersthesis {schaper2011,
	title = {Wave Height Estimation with Stereo Images of the Reflective Stereo Slope Gauge (RSSG)},
	year = {2011},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Julia Schaper}
}
@mastersthesis {platt2011,
	title = {Weiterentwicklung einer hochaufl{\"o}senden LIF-Methode zur Messung von Sauerstoffkonzentrationsprofilen in der wasserseitigen Grenzschicht},
	year = {2011},
	note = {started 11.04.2011},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Tanja Platt}
}
@conference {jaehne2010a,
	title = {Wind/wave-tunnel measurements of chemical enhancement of the carbon dioxide gas exchange rate},
	booktitle = {6th Int. Symp. Gas Transfer at Water Surfaces, Kyoto, May 17--21, 2010},
	year = {2010},
	note = {abstract},
	doi = {10.5281/zenodo.14928},
	author = {Bernd J{\"a}hne and Kai Degreif and Joachim Kuss}
}
@incollection {berthe2009,
	title = {The wall PIV measurement technique for near wall flow fields in biofliud mechanics},
	volume = {106},
	year = {2009},
	pages = {11--20},
	publisher = {Springer},
	abstract = {This chapter describes the development of a new time resolved 3D PIV technique for near wall flow field measurements. This measurement technique, called wall-PIV, is based on Beer-Lambert{\textquoteright}s law. It substitutes the classical PIV laser sheet by a diffuse, monochromatic full-field illumination that is limited to the near wall region by an absorbing molecular dye in the fluid. Aimed range of applications is the investigation of flow fields next to one- or two dimensionally curved, possibly flexing surfaces. The three dimensional three component flow estimation uses a new optical flow algorithm, based on particle trajectories. Results of the measurement technique{\textquoteright}s application on a displacement pediatric blood pump are presented.},
	doi = {10.1007/978-3-642-01106-1_2},
	author = {A. Berthe and Daniel Kondermann and Bernd J{\"a}hne and U. Ketzscher},
	editor = {W. Nitsche and C. Dobriloff}
}
@conference {Nguyen2009a,
	title = {Weakly supervised discriminative localization and classification: A joint learning process},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
	year = {2009},
	pages = {1925{\textendash}1932},
	abstract = {Visual categorization problems, such as object classification or action recognition, are increasingly often approached using a detection strategy: a classifier function is first applied to candidate subwindows of the image or the video, and then the maximum classifier score is used for class decision. Traditionally, the subwindow classifiers are trained on a large collection of examples manually annotated with masks or bounding boxes. The reliance on time-consuming human labeling effectively limits the application of these methods to problems involving very few categories. Furthermore, the human selection of the masks introduces arbitrary biases (e.g. in terms of window size and location) which may be suboptimal for classification. In this paper we propose a novel method for learning a discriminative subwindow classifier from examples annotated with binary labels indicating the presence of an object or action of interest, but not its location. During training, our approach simultaneously localizes the instances of the positive class and learns a subwindow SVM to recognize them. We extend our method to classification of time series by presenting an algorithm that localizes the most discriminative set of temporal segments in the signal. We evaluate our approach on several datasets for object and action recognition and show that it achieves results similar and in many cases superior to those obtained with full supervision. {\textcopyright}2009 IEEE.},
	isbn = {9781424444205},
	doi = {10.1109/ICCV.2009.5459426},
	author = {Nguyen, Minh Hoai and Torresani, Lorenzo and De La Torre, Fernando and Carsten Rother}
}
@conference {Nguyen2009,
	title = {Weakly supervised discriminative localization and classification: A joint learning process},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
	year = {2009},
	pages = {1925{\textendash}1932},
	abstract = {Visual categorization problems, such as object classification or action recognition, are increasingly often approached using a detection strategy: a classifier function is first applied to candidate subwindows of the image or the video, and then the maximum classifier score is used for class decision. Traditionally, the subwindow classifiers are trained on a large collection of examples manually annotated with masks or bounding boxes. The reliance on time-consuming human labeling effectively limits the application of these methods to problems involving very few categories. Furthermore, the human selection of the masks introduces arbitrary biases (e.g. in terms of window size and location) which may be suboptimal for classification. In this paper we propose a novel method for learning a discriminative subwindow classifier from examples annotated with binary labels indicating the presence of an object or action of interest, but not its location. During training, our approach simultaneously localizes the instances of the positive class and learns a subwindow SVM to recognize them. We extend our method to classification of time series by presenting an algorithm that localizes the most discriminative set of temporal segments in the signal. We evaluate our approach on several datasets for object and action recognition and show that it achieves results similar and in many cases superior to those obtained with full supervision. {\textcopyright}2009 IEEE.},
	isbn = {9781424444205},
	doi = {10.1109/ICCV.2009.5459426},
	author = {Nguyen, Minh Hoai and Torresani, Lorenzo and De La Torre, Fernando and Carsten Rother}
}
@article {renard_09_when,
	title = {When Less Can Yield More - Computational Preprocessing of MS/MS Spectra for Peptide Identification Preprocessing},
	journal = {Proteomics},
	volume = {9},
	year = {2009},
	note = {1},
	pages = {4978-4984},
	doi = {10.1002/pmic.200900326},
	author = {B. Y. Renard and Kirchner, M. and Monigatti, F. and Ivanov, A. R. and Rappsilber, J. and Winter, D. and Judith A. J. Steen and Fred A. Hamprecht and Steen, H.}
}
@article {jaeger_08_weakly,
	title = {Weakly Supervised Learning of a Classifier for Unusual Event Detection},
	journal = {IEEE Transactions on Image Processing},
	volume = {17},
	number = {9},
	year = {2008},
	note = {1},
	pages = {1700-1708},
	doi = {10.1109/TIP.2008.2001043},
	author = {J{\"a}ger, M. and Knoll, C. and Fred A. Hamprecht}
}
@incollection {koethe_08_what,
	title = {What Can We Learn from Discrete Images about the Continuous World},
	volume = {4992},
	year = {2008},
	pages = {4-19},
	publisher = {Springer},
	doi = {10.1007/978-3-540-79126-3_2},
	author = {Ullrich K{\"o}the}
}
@incollection {jaehne2002f,
	title = {Wellenbewegte Wasseroberfl{\"a}che},
	year = {2002},
	pages = {259--262},
	publisher = {Wichmann},
	url = {http://d-nb.info/96618503X},
	author = {Bernd J{\"a}hne and G{\"u}nther Balschbach and D. Fu{\ss}},
	editor = {Thomas Luhmann}
}
@conference {klinke2001,
	title = {Wavenumber Spectra of Short Wind Waves: Laboratory Measurements and Interpretation},
	booktitle = {IGARSS {\textquoteright}01, Geoscience and Remote Sensing Symposium, Sydney, NSW, Australia},
	volume = {2},
	year = {2001},
	pages = {965-967},
	abstract = {Short wind-generated capillary-gravity waves were measured with a refraction-based optical technique in different wind/wave tanks. Directional wave number spectra were determined from the wave slope images for a wide range of wind speeds and fetches for the different geometries of the laboratory facilities. The shape of the wavenumber spectra and their dependence on die friction velocity and fetch were analyzed. We found that the parasitic capillaries dominate the capillary range of the spectra. The interpretation of the results is given by a physical model of the short wind-wave spectrum that takes the generation of parasitic capillaries under laboratory conditions into account},
	doi = {10.1109/IGARSS.2001.976695},
	author = {J. Klinke and Kudryavtsev, V. N. and Makin, V. K. and Bernd J{\"a}hne}
}
@booklet {jaehne1999p,
	title = {Wenn Unsichtbares sichtbar wird},
	year = {1999},
	author = {Bernd J{\"a}hne}
}
@article {jaehne1999n,
	title = {When the invisible becomes visible},
	journal = {German research, Magazine of the German Research Foundation (DFG)},
	year = {1999},
	pages = {30--33},
	doi = {10.5281/zenodo.14914},
	author = {Bernd J{\"a}hne}
}
@mastersthesis {wenig1998,
	title = {Wolkenklassifizierung mittels Bildsequenzanalyse auf GOME-Satellitendaten},
	year = {1998},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Mark Wenig}
}
@conference {klinke1996a,
	title = {Wave number spectra of short wind waves: implications from laboratory studies},
	booktitle = {Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993},
	year = {1996},
	pages = {367--372},
	publisher = {RSMAS, University of Miami},
	organization = {RSMAS, University of Miami},
	doi = {10.5281/zenodo.14001},
	author = {J. Klinke and Bernd J{\"a}hne},
	editor = {M. A. Donelan and W. H. Hui and W. J. Plant}
}
@article {jaehne1993f,
	title = {Wellenamplitudenmessungen mittels videometrischer Bildverarbeitung},
	journal = {Mitteilungsblatt der Bundesanstalt f{\"u}r Wasserbau},
	volume = {70},
	year = {1993},
	pages = {27--62},
	author = {Bernd J{\"a}hne and H.-J. K{\"o}hler and Ralf Rath and Dietmar Wierzimok}
}
@conference {liefermann1985,
	title = {Wind tunnel investigation of the characterization of radar backscattering by different wave fields},
	booktitle = {Third International Colloquium Spectral Signatures of Objects in Remote Sensing},
	volume = {1},
	year = {1985},
	pages = {137--140},
	abstract = {The motion phases of waves and sea swell that contribute to C and K-band reflection of radar waves were investigated in a wind tunnel designed to simulate air-sea interactions. Results at vertical incidence for various swells, water waves, winds, and combinations of wind and swell are presented. A very important contribution of wave breaking to radar backscattering strength is noted.},
	url = {http://adsabs.harvard.edu/abs/1985ssor.proc..137L},
	author = {A. Liefermann and A. Ramamonjiarisoa and Bernd J{\"a}hne}
}
@conference {jaehne1984b,
	title = {Wind/wave-tunnel experiments on the Schmidt number and wave field dependence of air-water gas exchange},
	booktitle = {Gas transfer at water surfaces},
	year = {1984},
	pages = {303--309},
	publisher = {Reidel},
	organization = {Reidel},
	doi = {10.1007/978-94-017-1660-4_28},
	author = {Bernd J{\"a}hne and Werner A. Huber and A. Dutzi and Thomas Wais and Johann Ilmberger},
	editor = {W. Brutsaert and G. H. Jirka}
}
