K
J. Klinke, Kudryavtsev, V. N., Makin, V. K., and Jähne, B.,
“Wavenumber Spectra of Short Wind Waves: Laboratory Measurements and Interpretation”, in
IGARSS '01, Geoscience and Remote Sensing Symposium, Sydney, NSW, Australia, 2001, vol. 2, pp. 965-967.
J. Klinke and Long, S. R.,
“Generation of short waves by wave-current interaction”, in
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International, 2000, p. 1084--1086.
F. Kluger, Brachmann, E., Ackermann, H., Rother, C., Yang, M. Ying, and Rosenhahn, B.,
“CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus”, in
CVPR 2020, 2020.
PDF (9.95 MB) M. Knorr, Esparza, J., Niehsen, W., and Stiller, C.,
“Extrinsic calibration of a fisheye multi-camera setup using overlapping fields of view”, in
Intelligent Vehicles Symposium Proceedings, 2014, p. 1276--1281.
T. Kohlberger, Schnörr, C., Bruhn, A., and Weickert, J.,
“Domain Decomposition for Parallel Variational Optical Flow Computation”, in
Pattern Recognition, Proc. 25th DAGM Symposium, 2003, vol. 2781, pp. 196–203.
T. Kohlberger, Schnörr, C., Bruhn, A., and Weickert, J.,
“Parallel Variational Motion Estimation by Domain Decomposition and Cluster Computing”, in
Computer Vision – ECCV 2004, 2004, vol. 3024, pp. 205-216.
T. Kohlberger, Schnörr, C., Bruhn, A., and Weickert, J.,
“Domain decomposition for variational optical flow computation”,
IEEE Trans. Image Proc., vol. 14, pp. 1125-1137, 2005.
T. Kohlberger, Schnörr, C., Bruhn, A., and Weickert, J.,
“Domain Decomposition for Variational Optical Flow Computation”, Dept. Math. and Comp. Science, University of Mannheim, Germany, 07/2003, 2003.
H. - J. Köhler, Spies, H., Beringer, O., and Haußecker, H.,
“Fluidisation and deformation of submerged soil due to fluctuating water level”, in
XII Europ. Conference on Soil Mechanics and Geotechnical Engineering, 1999, p. 1109--1115.
P. Kohli, Nickisch, H., Rother, C., and Rhemann, C.,
“User-centric learning and evaluation of interactive segmentation systems”,
International Journal of Computer Vision, vol. 100, pp. 261–274, 2012.
P. Kohli, Shekhovtsov, A., Rother, C., Kolmogorov, V., and Torr, P.,
“On partial optimality in multi-label MRFs”, in
Proceedings of the 25th International Conference on Machine Learning, 2008, pp. 480–487.
V. Kolmogorov, Criminisi, A., Blake, A., Cross, G., and Rother, C.,
“Probabilistic fusion of stereo with color and contrast for bilayer segmentation”,
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, pp. 1480–1492, 2006.
V. Kolmogorov and Rother, C.,
“Minimizing nonsubmodular functions with graph cuts - A review”,
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29. pp. 1274–1279, 2007.
V. Kolmogorov and Rother, C.,
“Comparison of energy minimization algorithms for highly connected graphs”, in
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2006, vol. 3952 LNCS, pp. 1–15.
V. Kolmogorov and Rother, C.,
“Comparison of energy minimization algorithms for highly connected graphs”, in
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2006, vol. 3952 LNCS, pp. 1–15.
V. Kolmogorov, Criminisi, A., Blake, A., Cross, G., and Rother, C.,
“Bi-layer segmentation of binocular stereo video”, in
Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005, 2005, vol. II, pp. 407–414.
V. Kolmogorov, Boykov, Y., and Rother, C.,
“Applications of parametric maxflow in computer vision”, in
Proceedings of the IEEE International Conference on Computer Vision, 2007.
V. Kolmogorov, Boykov, Y., and Rother, C.,
“Applications of parametric maxflow in computer vision”, in
Proceedings of the IEEE International Conference on Computer Vision, 2007.
C. Kondermann, Kondermann, D., Jähne, B., Garbe, C. S., Schnörr, C., and Jähne, B.,
“An adaptive confidence measure for optical flows based on linear subspace projections”, in
Proceedings of the 29th DAGM Symposium on Pattern Recognition, 2007, vol. 4713, p. 132--141.
D. Kondermann, Kondermann, C., Berthe, A., Kertzscher, U., and Garbe, C. S.,
“Motion Estimation Based on a Temporal Model of Fluid Flows”, in
13th International Symposium on Flow Visualization, 2008, pp. 1-10.
D. Kondermann, Abraham, S., Förstner, W., Gehrig, S., Imiya, A., Jähne, B., Klose, F., Magor, M., Mayer, H., Mester, R., Pajdla, T., Reulke, R., and Zimmer, H.,
“On Performance Analysis of Optical Flow Algorithms”, in
Outdoor and Large-Scale Real-Worls Scene Analysis, Dagstuhl-Workshop
2011, 2012, vol. LNCS, pp. 329-355.
C. Kondermann,
“Postprocessing and Restoration of Optical Flows”. IWR, Fakultät für Mathematik und Informatik, Univ.\ Heidelberg, 2009.
D. Kondermann, Nair, R., Meister, S., Mischler, W., Güssefeld, B., Hofmann, S., Brenner, C., and Jähne, B.,
“Stereo ground truth with error bars”, in
Asian Conference on Computer Vision, ACCV 2014, 2014.
D. Kondermann, Nair, R., Honauer, K., Krispin, K., Andrulis, J., Brock, A., Güssefeld, B., Rahimimoghaddam, M., Hofmann, S., Brenner, C., and Jähne, B.,
“The HCI Benchmark Suite: Stereo and Flow Ground Truth With Uncertainties for Urban Autonomous Driving”, in
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2016.
D. Kondermann, Nair, R., Meister, S., Mischler, W., Güssefeld, B., Honauer, K., Hofmann, S., Brenner, C., and Jähne, B.,
“Stereo Ground Truth with Error Bars”, in
Computer Vision – ACCV 2014: 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part V, Cham: Springer International Publishing, 2015, pp. 595–610.
C. Kondermann,
“Postprocessing and Restoration of Optical Flows”. IWR, Fakultät für Mathematik und Informatik, Univ. Heidelberg, 2009.