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L
Lauer, F and Schnörr, C (2009). Spectral Clustering of Linear Subspaces for Motion Segmentation. Proc. IEEE Int. Conf. Computer Vision (ICCV'09). Kyoto, Japan
Lange, P A, Jähne, B, Tschiersch, J and Ilmberger, J (1982). Comparison between an amplitude-measuring wire and a slope-measuring laser water wave gauge. Rev. Sci. Instrum. 53 651--655
Lang, S and Ommer, B (2021). Transforming Information Into Knowledge: How Computational Methods Reshape Art History. Digital Humanities Quaterly (DHQ). 15
Lang, S and Ommer, B (2021). Transforming Information Into Knowledge: How Computational Methods Reshape Art History. Digital Humanities Quaterly (DHQ). 15. http://digitalhumanities.org/dhq/vol/15/3/000560/000560.html
Lang, S and Ommer, B (2020). Das Objekt jenseits der Digitalisierung. Das digitale Objekt. 7. http://www.deutsches-museum.de/fileadmin/Content/010_DM/060_Verlag/studies-7.pdfPDF icon lang_ommer_digitalhumanities_2020_.pdf (599.56 KB)
Lang, S and Ommer, B (2018). Attesting Similarity: Supporting the Organization and Study of Art Image Collections with Computer Vision. Digital Scholarship in the Humanities, Oxford University Press. 33 845-856
Lang, S and Ommer, B (2018). Reconstructing Histories: Analyzing Exhibition Photographs with Computational Methods. Arts, Computational Aesthetics. 7, 64PDF icon arts-07-00064.pdf (4.6 MB)
Lang, S and Ommer, B (2018). Reflecting on How Artworks Are Processed and Analyzed by Computer Vision. European Conference on Computer Vision (ECCV - VISART). Springer
Lalonde, J François, Hoiem, D, Efros, A A, Rother, C, Winn, J and Criminisi, A (2007). Photo clip art. Proceedings of the ACM SIGGRAPH Conference on Computer Graphics. http://graphics.cs.cmu.edu/projects/photoclipart/
K
Küsters, (2004). Simultane Tiefen- und Flussbestimmung pflanzlicher Oberflächen. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg. http://www.ub.uni-heidelberg.de/archiv/4818
Küsters, (2001). Objektverfolgung Und Bildfusion Zur Untersuchung Wachsender Pflanzenwurzeln. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg
Kunz, J (2011). Visualisierung Der Wasserseitigen Massengrenzschicht Beim Konvektionsgetriebenen Gasaustausch Mithilfe Einer Lumineszenzmethode Und Thermografie. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg
Kunz, J and Jähne, B (2018). Investigating small scale air-sea exchange processes via thermography. Front. Mech. Eng. 26
Kunz, J (2017). Active Thermography as a Tool for the Estimation of Air-Water Transfer Velocities. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ. Heidelberg. Dissertation
Kunz, J and Jähne, B (2016). Active thermography as a tool to investigate heat and gas transfer across the air-water interface. 13th Quantitative Infrared Thermographie Conference (QIRT 2016), Gdansk 4–8 July 2016
Künsch, H R, Agrell, E and Hamprecht, F A (2005). Optimal lattices for sampling. IEEE Transactions on Information Theory. 51 634-647
Kumpf, T (2009). Sichtfelddesign Mittels Freiformspiegel Für Katadioptrische Systeme. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg
Kümmerlen, (1998). Infrarot-Thermographie Zum Studium Physiologischer Parameter Von Pflanzenblättern. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg
Kümmerlen, B, Dauwe, S, Schmund, D, Schurr, U, Jähne, B, Geißler, P and Haußecker, H (1999). Thermography to measure water relations of plant leaves. Handbook of Computer Vision and Applications. Academic Press. 3: Systems and Applications 763-781
Kümmerlen, B, Dauwe, S, Schmund, D, Schurr, U, Jähne, B and Haußecker, H (2000). Thermography to measure water relations of plant leaves. Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press. 636--637
Kubinyi, H, Hamprecht, F A and Mietzner, T (1998). Threedimensional Quantitative Similarity-Activity Relationships (3DQSiAR) from SEAL Similarity Matrices. Journal of Medicinal Chemistry. 41 2553-2564
Kruse, J, Rother, C, Schmidt, U and Dresden, T U (2017). Learning To Push The Limits Of Efficient Fft-Based Image Deconvolution - Supplemental Material
Kruse, J, Ardizzone, L, Rother, C and Köthe, U (2019). Benchmarking Invertible Architectures On Inverse Problems
Kruse, J, Rother, C and Schmidt, U (2017). Learning to Push the Limits of Efficient FFT-Based Image Deconvolution. Proceedings of the IEEE International Conference on Computer Vision. 2017-Octob 4596–4604
Krull, A, Brachmann, E, Nowozin, S, Michel, F, Shotton, J and Rother, C (2017). PoseAgent: Budget-constrained 6D object pose estimation via reinforcement learning. Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017. 2017-Janua 2566–2574. http://arxiv.org/abs/1612.03779
Krull, A, Brachmann, E, Michel, F, Yang, M Ying, Gumhold, S and Rother, C (2015). Learning analysis-by-synthesis for 6d pose estimation in RGB-D images. Proceedings of the IEEE International Conference on Computer Vision. 2015 Inter 954–962
Krull, A, Hirsch, P, Rother, C, Schiffrin, A and Krull, C (2020). Artificial-intelligence-driven scanning probe microscopy. Communications Physics. 3
Krolla, B, Diebold, M, Goldlücke, B and Stricker, D (2014). Spherical Light Fields. Proceedings of the British Machine Vision Conference. BMVA Press
Krolla, B, Diebold, M and Stricker, D (2015). Light Field from Smartphone-Based Dual Video. Computer Vision - ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part II. Springer International Publishing, Cham. 600–610. http://dx.doi.org/10.1007/978-3-319-16181-5_46
Kröger, T, Kappes, J H, Beier, T, Köthe, U and Hamprecht, F A (2014). Asymmetric Cuts: Joint Image Labeling and Partitioning. 36th German Conference on Pattern Recognition
Kröger, T, Kappes, J H, Beier, T, Köthe, U and Hamprecht, F A (2014). Asymmetric Cuts: Joint Image Labeling and Partitioning. Pattern Recognition - 36th German Conference, {GCPR} 2014, Münster, Germany, September 2-5, 2014, Proceedings. http://dx.doi.org/10.1007/978-3-319-11752-2_16PDF icon Technical Report (3.46 MB)
Kröger, (2014). Learning-based Segmentation for Connectomics. University of Heidelberg
Kröger, (2010). Exploratory And Computational Analysis Of Huge Volume Images For Connectomics. University of Heidelberg
Kröger, T, Mikula, S, Denk, W, Köthe, U and Hamprecht, F A (2013). Learning to Segment Neurons with Non-local Quality Measures. MICCAI 2013. Proceedings, part II. Springer. 8150 419-427PDF icon Technical Report (2.87 MB)
Kreshuk, A, Funke, J, Cardona, A and Hamprecht, F A (2015). Who is talking to whom: synaptic partner detection in anisotropic volumes of insect brain. MICCAI. Proceedings. Springer. LNCS 9349 661-668PDF icon Technical Report (2.14 MB)

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