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F. Lauer and Schnörr, C., “Spectral Clustering of Linear Subspaces for Motion Segmentation”, in Proc. IEEE Int. Conf. Computer Vision (ICCV'09), Kyoto, Japan, 2009.
P. A. Lange, Jähne, B., Tschiersch, J., and Ilmberger, J., “Comparison between an amplitude-measuring wire and a slope-measuring laser water wave gauge”, Rev. Sci. Instrum., vol. 53, p. 651--655, 1982.
S. Lang and Ommer, B., “Transforming Information Into Knowledge: How Computational Methods Reshape Art History”, Digital Humanities Quaterly (DHQ), vol. 15, no. 3, 2021.
S. Lang and Ommer, B., “Transforming Information Into Knowledge: How Computational Methods Reshape Art History”, Digital Humanities Quaterly (DHQ), vol. 15, no. 3, 2021.
S. Lang and Ommer, B., “Das Objekt jenseits der Digitalisierung”, Das digitale Objekt, vol. 7. 2020.PDF icon lang_ommer_digitalhumanities_2020_.pdf (599.56 KB)
S. Lang and Ommer, B., “Attesting Similarity: Supporting the Organization and Study of Art Image Collections with Computer Vision”, Digital Scholarship in the Humanities, Oxford University Press, vol. 33, no. 4, pp. 845-856, 2018.
S. Lang and Ommer, B., “Reconstructing Histories: Analyzing Exhibition Photographs with Computational Methods”, Arts, Computational Aesthetics, vol. 7, 64, no. 64, 2018.PDF icon arts-07-00064.pdf (4.6 MB)
S. Lang and Ommer, B., “Reflecting on How Artworks Are Processed and Analyzed by Computer Vision”, European Conference on Computer Vision (ECCV - VISART). Springer, 2018.
J. François Lalonde, Hoiem, D., Efros, A. A., Rother, C., Winn, J., and Criminisi, A., “Photo clip art”, in Proceedings of the ACM SIGGRAPH Conference on Computer Graphics, 2007.
K
R. Küsters, “Simultane Tiefen- und Flussbestimmung pflanzlicher Oberflächen”. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2004.
R. Küsters, “Objektverfolgung und Bildfusion zur Untersuchung wachsender Pflanzenwurzeln”, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2001.
J. Kunz, “Visualisierung der wasserseitigen Massengrenzschicht beim konvektionsgetriebenen Gasaustausch mithilfe einer Lumineszenzmethode und Thermografie”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2011.
J. Kunz and Jähne, B., “Investigating small scale air-sea exchange processes via thermography”, Front. Mech. Eng., vol. 26, 2018.
J. Kunz, “Active Thermography as a Tool for the Estimation of Air-Water Transfer Velocities”, vol. Dissertation. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ. Heidelberg, 2017.
J. Kunz and Jähne, B., “Active thermography as a tool to investigate heat and gas transfer across the air-water interface”, in 13th Quantitative Infrared Thermographie Conference (QIRT 2016), Gdansk 4–8 July 2016, 2016.
H. R. Künsch, Agrell, E., and Hamprecht, F. A., “Optimal lattices for sampling”, IEEE Transactions on Information Theory, vol. 51, pp. 634-647, 2005.
T. Kumpf, “Sichtfelddesign mittels Freiformspiegel für katadioptrische Systeme”, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2009.
B. Kümmerlen, “Infrarot-Thermographie zum Studium physiologischer Parameter von Pflanzenblättern”, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1998.
B. Kümmerlen, Dauwe, S., Schmund, D., Schurr, U., Jähne, B., Geißler, P., and Haußecker, H., “Thermography to measure water relations of plant leaves”, Handbook of Computer Vision and Applications, vol. 3: Systems and Applications. Academic Press, pp. 763-781, 1999.
B. Kümmerlen, Dauwe, S., Schmund, D., Schurr, U., Jähne, B., and Haußecker, H., “Thermography to measure water relations of plant leaves”, Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press, p. 636--637, 2000.
H. Kubinyi, Hamprecht, F. A., and Mietzner, T., “Threedimensional Quantitative Similarity-Activity Relationships (3DQSiAR) from SEAL Similarity Matrices”, Journal of Medicinal Chemistry, vol. 41, pp. 2553-2564, 1998.
J. Kruse, Rother, C., Schmidt, U., and Dresden, T. U., “Learning to Push the Limits of Efficient FFT-based Image Deconvolution - Supplemental Material”, 2017.
J. Kruse, Ardizzone, L., Rother, C., and Köthe, U., “Benchmarking Invertible Architectures on Inverse Problems”, i, 2019.
J. Kruse, Rother, C., and Schmidt, U., “Learning to Push the Limits of Efficient FFT-Based Image Deconvolution”, in Proceedings of the IEEE International Conference on Computer Vision, 2017, vol. 2017-Octob, pp. 4596–4604.
A. Krull, Brachmann, E., Nowozin, S., Michel, F., Shotton, J., and Rother, C., “PoseAgent: Budget-constrained 6D object pose estimation via reinforcement learning”, in Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 2017, vol. 2017-Janua, pp. 2566–2574.
A. Krull, Brachmann, E., Michel, F., Yang, M. Ying, Gumhold, S., and Rother, C., “Learning analysis-by-synthesis for 6d pose estimation in RGB-D images”, in Proceedings of the IEEE International Conference on Computer Vision, 2015, vol. 2015 Inter, pp. 954–962.
A. Krull, Hirsch, P., Rother, C., Schiffrin, A., and Krull, C., “Artificial-intelligence-driven scanning probe microscopy”, Communications Physics, vol. 3, 2020.
B. Krolla, Diebold, M., Goldlücke, B., and Stricker, D., “Spherical Light Fields”, in Proceedings of the British Machine Vision Conference, 2014.
B. Krolla, Diebold, M., and Stricker, D., “Light Field from Smartphone-Based Dual Video”, in Computer Vision - ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part II, Cham: Springer International Publishing, 2015, pp. 600–610.
T. Kröger, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., “Asymmetric Cuts: Joint Image Labeling and Partitioning”, in 36th German Conference on Pattern Recognition, 2014.
T. Kröger, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., “Asymmetric Cuts: Joint Image Labeling and Partitioning”, in Pattern Recognition - 36th German Conference, {GCPR} 2014, Münster, Germany, September 2-5, 2014, Proceedings, 2014.PDF icon Technical Report (3.46 MB)
T. Kröger, “Learning-based Segmentation for Connectomics”. University of Heidelberg, 2014.
T. Kröger, “Exploratory and computational analysis of huge volume images for connectomics”, University of Heidelberg, 2010.
T. Kröger, Mikula, S., Denk, W., Köthe, U., and Hamprecht, F. A., “Learning to Segment Neurons with Non-local Quality Measures”, in MICCAI 2013. Proceedings, part II, 2013, vol. 8150, pp. 419-427.PDF icon Technical Report (2.87 MB)
A. Kreshuk, Funke, J., Cardona, A., and Hamprecht, F. A., “Who is talking to whom: synaptic partner detection in anisotropic volumes of insect brain”, MICCAI. Proceedings, vol. LNCS 9349. Springer, pp. 661-668, 2015.PDF icon Technical Report (2.14 MB)

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