Publications

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Kostrykin, L, Schnörr, C and Rohr, K (2018). Segmentation of Cell Nuclei Using Intensity-Based Model Fitting and Sequential Convex Programming. Proc. ISBI
König, (2007). Quality Control In Mass Spectrometry. University of Heidelberg
König, T, Menze, B H, Kirchner, M, Monigatti, F, Parker, K C, Patterson, T, Steen, J J, Hamprecht, F A and Steen, H (2008). Robust Prediction of the MASCOT Score for an Improved Quality Assessment in Mass Spectrometric Proteomics. Journal of Proteome Research. 7 3708-3717PDF icon Technical Report (1.16 MB)
König, T, Hamprecht, F A and Kücherer, H (2005). On The Application Of Multiscale Motion Estimation In Intravascular Elastography. University of Heidelberg
Kondermann, D, 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 (2012). On Performance Analysis of Optical Flow Algorithms. Outdoor and Large-Scale Real-Worls Scene Analysis, Dagstuhl-Workshop 2011. Springer. LNCS 329-355
Kondermann, D and Becker, M (2013). Movie Dimensionalization Via Sparse User Annotations. submitted to ICCV
Kondermann, C (2009). Postprocessing and Restoration of Optical Flows. IWR, Fakultät für Mathematik und Informatik, Univ.\ Heidelberg. http://www.ub.uni-heidelberg.de/archiv/9681
Kondermann, D (2011). Alles im Fluss --- Optischer Fluss für industrielle Anwendungen. http://www.gitverlag.com/de/print/4/18/issues/2009/3381.html
Kondermann, D (2009). Modular Optical Flow Estimation with Applications to Fluid Dynamics. IWR, Fakultät für Mathematik und Informatik, Univ.\ Heidelberg. http://www.ub.uni-heidelberg.de/archiv/10184
Kondermann, D, Nair, R, Meister, S, Mischler, W, Güssefeld, B, Hofmann, S, Brenner, C and Jähne, B (2014). Stereo ground truth with error bars. Asian Conference on Computer Vision, ACCV 2014
Kondermann, D, Nair, R, Honauer, K, Krispin, K, Andrulis, J, Brock, A, Güssefeld, B, Rahimimoghaddam, M, Hofmann, S, Brenner, C and Jähne, B (2016). The HCI Benchmark Suite: Stereo and Flow Ground Truth With Uncertainties for Urban Autonomous Driving. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops
Kondermann, D, Nair, R, Meister, S, Mischler, W, Güssefeld, B, Honauer, K, Hofmann, S, Brenner, C and Jähne, B (2015). Stereo Ground Truth with Error Bars. Computer Vision – ACCV 2014: 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part V. Springer International Publishing, Cham. 595–610. http://dx.doi.org/10.1007/978-3-319-16814-2_39
Kondermann, D (2009). Modular Optical Flow Estimation with Applications to Fluid Dynamics. IWR, Fakultät für Mathematik und Informatik, Univ. Heidelberg
Kondermann, C (2009). Postprocessing and Restoration of Optical Flows. IWR, Fakultät für Mathematik und Informatik, Univ. Heidelberg
Kondermann, C, Kondermann, D and Garbe, C S (2008). Postprocessing of optical flows via surface measures and motion inpainting. Pattern Recognition. 5096 355--364
Kondermann, C, Kondermann, D, Jähne, B, Garbe, C S, Schnörr, C and Jähne, B (2007). An adaptive confidence measure for optical flows based on linear subspace projections. Proceedings of the 29th DAGM Symposium on Pattern Recognition. Springer. 4713 132--141
Kondermann, C, Mester, R and Garbe, C S (2008). A statistical confidence measure for optical flows. Proceedings of the ECCV. 5304 290--301
Kondermann, D, Kondermann, C, Berthe, A, Kertzscher, U and Garbe, C S (2008). Motion Estimation Based on a Temporal Model of Fluid Flows. 13th International Symposium on Flow Visualization. 1-10
Kolmogorov, V, Criminisi, A, Blake, A, Cross, G and Rother, C (2006). Probabilistic fusion of stereo with color and contrast for bilayer segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28 1480–1492. http://research.microsoft.com/vision/cambridge
Kolmogorov, V and Rother, C (2007). Minimizing nonsubmodular functions with graph cuts - A review. IEEE Transactions on Pattern Analysis and Machine Intelligence. 29 1274–1279
Kolmogorov, V and Rother, C (2006). Comparison of energy minimization algorithms for highly connected graphs. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3952 LNCS 1–15
Kolmogorov, V and Rother, C (2006). Comparison of energy minimization algorithms for highly connected graphs. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3952 LNCS 1–15
Kolmogorov, V, Criminisi, A, Blake, A, Cross, G and Rother, C (2005). Bi-layer segmentation of binocular stereo video. Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005. II 407–414. http://research.microsoft.com/vision/cambridge
Kolmogorov, V, Boykov, Y and Rother, C (2007). Applications of parametric maxflow in computer vision. Proceedings of the IEEE International Conference on Computer Vision
Kolmogorov, V, Boykov, Y and Rother, C (2007). Applications of parametric maxflow in computer vision. Proceedings of the IEEE International Conference on Computer Vision
Kohli, P, Nickisch, H, Rother, C and Rhemann, C (2012). User-centric learning and evaluation of interactive segmentation systems. International Journal of Computer Vision. 100 261–274
Kohli, P, Shekhovtsov, A, Rother, C, Kolmogorov, V and Torr, P (2008). On partial optimality in multi-label MRFs. Proceedings of the 25th International Conference on Machine Learning. 480–487
Köhler, H - J, Spies, H, Beringer, O and Haußecker, H (1999). Fluidisation and deformation of submerged soil due to fluctuating water level. XII Europ. Conference on Soil Mechanics and Geotechnical Engineering. 1109--1115
Köhler, H - J, Haußecker, H and Jähne, B (1996). Detection of particle movements at soil interfaces due to changing hydraulic load conditions, localised by a digital image processing technique. Proc. Geofilters 1996, Montreal. Ecole Polytechnique Montreal
Kohlberger, T, Mémin, E and Schnörr, C (2003). Variational Dense Motion Estimation Using the Helmholtz Decomposition. Scale Space Methods in Computer Vision. Springer. 2695 432–448
Kohlberger, T, Schnörr, C, Bruhn, A and Weickert, J (2003). Domain Decomposition for Parallel Variational Optical Flow Computation. Pattern Recognition, Proc. 25th DAGM Symposium. Springer. 2781 196–203
Kohlberger, T, Schnörr, C, Bruhn, A and Weickert, J (2004). Parallel Variational Motion Estimation by Domain Decomposition and Cluster Computing. Computer Vision – ECCV 2004. Springer. 3024 205-216
Kohlberger, T, Schnörr, C, Bruhn, A and Weickert, J (2005). Domain decomposition for variational optical flow computation. IEEE Trans. Image Proc. 14 1125-1137
Kohlberger, T, Schnörr, C, Bruhn, A and Weickert, J (2003). Domain Decomposition For Variational Optical Flow Computation. Dept. Math. and Comp. Science, University of Mannheim, Germany
Knorr, M, Esparza, J, Niehsen, W and Stiller, C (2014). Extrinsic calibration of a fisheye multi-camera setup using overlapping fields of view. Intelligent Vehicles Symposium Proceedings. 1276--1281

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