Publications

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Krolla, B, Diebold, M, Goldlücke, B and Stricker, D (2014). Spherical Light Fields. Proceedings of the British Machine Vision Conference. BMVA Press
Schmidt, S, Kappes, J H, Bergtholdt, M, Pekar, V, Dries, S, Bystrov, D and Schnörr, C (2007). Spine Detection and Labeling Using a Parts-Based Graphical Model. Proc. 20th International Conference on Information Processing in Medical Imaging (IPMI 2007). Springer. 4584 122-133PDF icon Technical Report (1.46 MB)
Jäger, M, Humbert, S and Hamprecht, F A (2008). Sputter Tracking for the Automatic Monitoring of Industrial Laser Welding Processes. IEEE Transactions on Industrial Electronics. 55 2177-2184PDF icon Technical Report (1.83 MB)
Berger, K, Meister, S, Nair, R and Kondermann, D (2013). A State of the Art Report on Kinect Sensor Setups in Computer Vision. Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications. Springer. 8200 257-272
Hayn, M (2007). Statistical Analysis Of Spatio-Temporal Patterns In Global Nox Satellite Data. University of Heidelberg
Schmähling, (2006). Statistical characterization of technical surface microstructure. University of Heidelberg
Kondermann, C, Mester, R and Garbe, C S (2008). A statistical confidence measure for optical flows. Proceedings of the ECCV. 5304 290--301
Brocke, M (2002). Statistical Image Sequence Processing for Temporal Change Detection. Proceedings of the 24th DAGM Symposium on Pattern Recognition. LNCS 2449 215--223
Cremers, D and Schnörr, C (2003). Statistical Shape Knowledge in Variational Motion Segmentation. Image and Vision Comp. 21 77-86
Brocke, M (2002). Statistische Ereignisdetektion in Bildfolgen. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg. http://www.ub.uni-heidelberg.de/archiv/3065/
Feistner, L (2004). Statistische Karten In Der Magnetresonanzspektroskopie. University of Heidelberg
Schnörr, (2001). Statistische Mustererkennung
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, 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
Engelmann, D, Garbe, C S, Stöhr, M, Geißler, P, Hering, F and Jähne, B (1998). Stereo particle tracking. Proc. of the 8th International Symposium on Flow Visualization. 240--249
Hamprecht, F A, Peter, C, Daura, X, Thiel, W and van Gunsteren, W F (2001). A strategy for analysis of (molecular) equilibrium simulations: configuration space density estimation, clustering and visualization. Journal of Chemical Physics. 114 2079-2089
Stybalkowski, P (2001). Strömungsmessung In Sedimentporen Mittel 3D Particle Tracking Velocimetry. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg
Rathke, F, Hansen, K, Brefeld, U and Müller, K - R (2010). StructRank: A new approach for ligand-based virtual screening. J. Chem. Inf. Model. 51 83–92
Schurr, U, Schuberth, B, Aloni, R, Pradel, K S, Schmund, D, Jähne, B and Ullrich, C I (1996). Structural and functional evidence for xylem-mediated water transport and high tranpiration in Agrobacterium tumefaciens-induced tumors of Ricinus communis. Botanica Acta. 109 405--412
Lin, Z (2012). Structure Tensor Calculation Using Fpga. HCI Heidelberg
Lou, X and Hamprecht, F A (2011). Structured Learning for Cell Tracking. NIPS 2011. Proceedings. 1296-1304PDF icon Technical Report (1.41 MB)
Lou, X, Kloft, M, Rätsch, G and Hamprecht, F A (2014). Structured Learning from Cheap Data. Advanced Structured Prediction. The MIT PressPDF icon Technical Report (8.35 MB)
Lou, X and Hamprecht, F A (2012). Structured Learning from Partial Annotations. ICML 2012. Proceedings. http://icml.cc/discuss/2012/753.htmlPDF icon Technical Report (843.45 KB)
Kiem, A (2016). Structured Learning On Calcium Imaging Data. University of Heidelberg
Diego, F and Hamprecht, F A (2016). Structured Regression Gradient Boosting. CVPR. Proceedings. 1459-1467PDF icon Technical Report (3.97 MB)
Brunswig, F (1992). Strukturanalyse Von Gletschereis Und Baumringen Mittels Digitaler Bildanalyse. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg
Schimpf, U, Haußecker, H and Jähne, B (1999). Studies of air-sea gas transfer and micro turbulence at the ocean surface using passive thermography. The Wind-Driven Air-Sea Interface, Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes
Schimpf, U, Haußecker, H, Jähne, B, Jähne, B, Geißler, P and Haußecker, H (1999). Studies of small-scale air-sea interaction with active and passive thermography. Handbook of Computer Vision and Applications. Academic Press. 3: Systems and Applications 751-762
Schnörr, (1998). A Study of a Convex Variational Diffusion Approach for Image Segmentation and Feature Extraction. J. of Math. Imag. and Vision. 8 271--292
Zhang, X, Klinke, J and Jähne, B (1999). A study of advection of short wind waves by long waves from surface slope images. The Wind-Driven Air-Sea Interface, Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes. 93--97
Jähne, B, Haußecker, H, Scharr, H, Spies, H, Schmund, D and Schurr, U (1998). Study of dynamical processes with tensor-based spatiotemporal image processing techniques. ECCV 1998. Springer. 1407 322--336
Savchynskyy, B, Kappes, J H, Schmidt, S and Schnörr, C (2011). A Study of Nesterov's Scheme for Lagrangian Decomposition and MAP Labeling. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), accepted as oral presentation. 1817 - 1823
Savchynskyy, B, Kappes, J H, Schmidt, S and Schnörr, C (2011). A Study of Nesterov's Scheme for Lagrangian Decomposition and MAP Labeling. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)PDF icon Technical Report (408.99 KB)
Yuan, J, Schnörr, C, Steidl, G and Becker, F (2005). A Study of Non-Smooth Convex Flow Decomposition. Proc.~Variational, Geometric and Level Set Methods in Computer Vision. Springer. 3752 1--12
Bergtholdt, M, Kappes, J H, Schmidt, S and Schnörr, C (2010). A Study of Parts-Based Object Class Detection Using Complete Graphs. Int.~J.~Comp.~Vision. 87 93-117. http://www.springerlink.com/openurl.asp?genre=article&id=doi:10.1007/s11263-009-0209-1PDF icon Technical Report (2.18 MB)

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