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G. -hung Lu, Tsai, W. -ting, and Jähne, B., “Decomposing infrared images of wind waves for quantitative separation into characteristic flow processes”, IEEE Transactions on Geoscience and Remote Sensing, vol. 57, pp. 8304–8316, 2019.
X. Lou and Hamprecht, F. A., “Learning to Segment Dense Cell Nuclei with Shape Prior”, CVPR 2012. Proceedings, pp. 1012-1018, 2012.PDF icon Technical Report (2.66 MB)
X. Lou, “Biomedical Data Analysis with Prior Knowledge: Modeling and Learning”. University of Heidelberg, 2011.
X. Lou, Fiaschi, L., Köthe, U., and Hamprecht, F. A., “Quality Classification of Microscopic Imagery with Weakly Supervised Learning”, MICCAI-MLMI. Proceedings, pp. 176-183, 2012.PDF icon Technical Report (4.15 MB)
X. Lou and Hamprecht, F. A., “Structured Learning for Cell Tracking”, in NIPS 2011. Proceedings, 2011, pp. 1296-1304.PDF icon Technical Report (1.41 MB)
X. Lou and Hamprecht, F. A., “Structured Learning from Partial Annotations”, ICML 2012. Proceedings, 2012.PDF icon Technical Report (843.45 KB)
X. Lou, Kaster, F. O., Lindner, M., Kausler, B. X., Köthe, U., Höckendorf, B., Wittbrodt, J., Jänicke, H., and Hamprecht, F. A., “DELTR: Digital Embryo Lineage Tree Reconstructor”, in Eighth IEEE International Symposium on Biomedical Imaging (ISBI). Proceedings, 2011, pp. 1557-1560.PDF icon Technical Report (1.44 MB)
X. Lou, Kirchner, M., Renard, B. Y., Köthe, U., Graf, C., Lee, C., Steen, J. A. J., Steen, H., Mayer, M. P., and Hamprecht, F. A., “Deuteration Distribution Estimation with Improved Sequence Coverage for HX/MS Experiments”, Bioinformatics, vol. 26(12), pp. 1535-1541, 2010.PDF icon Technical Report (518.01 KB)
X. Lou, Kloft, M., Rätsch, G., and Hamprecht, F. A., “Structured Learning from Cheap Data”, Advanced Structured Prediction. The MIT Press, 2014.PDF icon Technical Report (8.35 MB)
X. Lou, Schiegg, M., and Hamprecht, F. A., “Active Structured Learning for Cell Tracking: Algorithm, Framework and Usability”, IEEE Transactions on Medical Imaging, vol. 33 (4), pp. 849-860, 2014.PDF icon Technical Report (6.84 MB)
D. Lorenz, Bereska, L., Milbich, T., and Ommer, B., “Unsupervised Part-Based Disentangling of Object Shape and Appearance”, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Oral + Best paper finalist: top 45 / 5160 submissions), 2019.
S. R. Long and Klinke, J., “A closer look at short waves generated by wave interactions with adverse currents”, in Gas Transfer at Water Surfaces, 2002, vol. 127, p. 121--128.
U. Lode, “Tiefenrekonstruktion vertikaler Konzentrationsprofile in der wasserseitigen Grenzschicht mittels spektroskopischer laserinduzierter Fluoreszenz (LIF)”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1998.
P. S. Liss, Watson, A. J., Bock, E. J., Jähne, B., Asher, W. E., Frew, N. M., Hasse, L., Korenowski, G. M., Merlivat, L., Phillips, L. F., Schlüssel, P., and Woolf, D. K., “Report Group 1 - Physical processes in the microlayer and the air-sea exchange of trace gases”, The Sea Surface and Global Change. Cambridge University Press, p. 1--33, 1997.
M. Lindner, “A Machine Learning Approach to Improve Digital Embryo Analysis”, University of Heidelberg, 2011.
R. Lindner, Lou, X., Reinstein, J., Shoeman, R. L., Hamprecht, F. A., and Winkler, A., “Hexicon 2: Automated Processing of Hydrogen-Deuterium Exchange Mass Spectrometry Data with Improved Deuteration Distribution Estimation”, Journal of The American Society for Mass Spectrometry, vol. 25, pp. 1018-1028, 2014.PDF icon Technical Report (2.1 MB)
Z. Lin, “Structure Tensor Calculation Using FPGA”, HCI Heidelberg, 2012.
Z. Lin, “Fluorescence Lifetime Imaging Camera: Image Analysis, Optimization and Enhancement”, vol. Dissertation. IWR, Fakultät für Mathematik und Informatik, Univ. Heidelberg, 2012.
Z. Lin, Erz, M., and Jähne, B., “Multi-frequency multi-sampling fluorescence lifetime imaging using a high-speed line-scan camera”, in Optics, Photonics, and Digital Technologies for Multimedia Applications, 12--15 April 2010, Brussels, 2010, vol. 7723, p. 77231S.
A. Lifermann, Jähne, B., and Ramamonjiarisoa, A., “Une ètude en soufflerie de la rèflexion des hyperfrèquences par des champs de houles et de vagues”, Oceanologia Acta, vol. SP, p. 15--22, 1987.
H. R. Lietmeyer, “Entwicklung eines videometrischen Verfahrens zur Messung der Wellenhöhe von Wasseroberflächenwellen”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1991.
A. Liefermann, Ramamonjiarisoa, A., and Jähne, B., “Wind tunnel investigation of the characterization of radar backscattering by different wave fields”, in Third International Colloquium Spectral Signatures of Objects in Remote Sensing, 1985, vol. 1, p. 137--140.
M. P. Lichy, Bachert, P., Hamprecht, F. A., Weber, M. - A., Debus, J., Schulz-Ertner, D., Kauczor, H. - U., and Schlemmer, H. - P., “Einsatz der 1H-MR-spektroskopischen Bildgebung in der Strahlentherapie: Cholin als Marker für die Bestimmung der relativen Wahrscheinlichkeit eines Tumorprogresses nach Bestrahlung glialer Hirntumoren”, Zeitung für Röntgenforschung, vol. 178, pp. 627-633, 2006.
P. Libner, “Entwicklung eines optische Systems zur Erfassung von Wellenparametern bei Feldmessungen im Hinblick auf den Gasaustausch”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1984.
P. Libner, “Die Konstantflußmethode: Ein neuartiges, schnelles und lokales Meßverfahren zur Untersuchung von Austauschvorgängen an der Luft-Wasser Phasengrenze”. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1987.
P. Libner, Jähne, B., and Plate, E. J., “Ein neue Methode zur lokalen und momentanen Bestimmung der Wiederbelüftungsraten von Gewässern”, Wasserwirtschaft, vol. 77, p. 230--235, 1987.
W. Li, Hosseini Jafari, O., and Rother, C., “Localizing Common Objects Using Common Component Activation Map”, 2019.
J. Li, “Robust Single Object Tracking via Fully Convolutional Siamese Networks”, Heidelberg University, 2019.
W. Li, Hosseini Jafari, O., and Rother, C., “Deep Object Co-segmentation”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019, vol. 11363 LNCS, pp. 638–653.
Y. Li, “Semantic Instance Segmentation with the Multiway Mutex Watershed”, Heidelberg University, 2019.
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.
C. Leue, Geißler, P., Jähne, B., Jähne, B., Geißler, P., and Haußecker, H., “Segmentierung von Partikelbildern in der Strömungsvisualisierung”, in Proceedings of 18th DAGM-Symposium Mustererkennung, 1996, p. 118--129.
C. Leue, Wenig, M., Platt, U., Jähne, B., Geißler, P., and Haußecker, H., “Retrieval of Atmospheric Trace Gas Concentrations”, Handbook of Computer Vision and Applications, vol. 3: Systems and Applications. Academic Press, pp. 783-805, 1999.
C. Leue, Wenig, M., Jähne, B., and Platt, U., “Quantitative observation of biomass-burning plumes from GOME”, ESA Publications EOQ, vol. 58, p. 33--35, 1998.
C. Leue, Wenig, M., Jähne, B., and Platt, U., “GOME mißt atmosphärische Stickoxide. Globale Biomassenverbrennung und Industrieemissionen”, Physik in unserer Zeit, vol. 29, p. 179, 1998.

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