Publications

M. Schaum, “Subpixelgenaue Positionsbestimmungen in digitalen Bildern”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1993.

C. Schellewald and Schnörr, C., “Subgraph Matching with Semidefinite Programming”, in Proc. Int. Workshop on Combinatorial Image Analysis (IWCIA'03), Palermo, Italy, 2003.

A. Sanakoyeu, Kotovenko, D., Lang, S., and Ommer, B., “A Style-Aware Content Loss for Real-time HD Style Transfer”, in Proceedings of the European Conference on Computer Vision (ECCV) (Oral), 2018.

X. Zhang and Garbe, C. S., “Studying dynamical processes of air-sea exchanges with air-water interface image techniques”, Recent Research Developments in Fluid Dynamics, vol. 5, p. 57--87, 2004.

S. Meister, “A Study on Ground Truth Generation for Optical Flow”, University of Heidelberg, 2010.

M. Bergtholdt, Kappes, J. H., Schmidt, S., and Schnörr, C., “A Study of Parts-Based Object Class Detection Using Complete Graphs”, Int. J. Comp. Vision, vol. 87, pp. 93-117, 2010.

M. Bergtholdt, Kappes, J. H., Schmidt, S., and Schnörr, C., “A Study of Parts-Based Object Class Detection Using Complete Graphs”, Int.~J.~Comp.~Vision, vol. 87, pp. 93-117, 2010.

Technical Report (2.18 MB)

J. Yuan, Schnörr, C., Steidl, G., and Becker, F., “A Study of Non-Smooth Convex Flow Decomposition”, in Proc. Variational, Geometric and Level Set Methods in Computer Vision, 2005, vol. 3752, pp. 1–12.

B. Savchynskyy, Kappes, J. H., Schmidt, S., and Schnörr, C., “A Study of Nesterov's Scheme for Lagrangian Decomposition and MAP Labeling”, in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2011.

B. Savchynskyy, Kappes, J. H., Schmidt, S., and Schnörr, C., “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, pp. 1817 - 1823, 2011.

B. Savchynskyy, Kappes, J. H., Schmidt, S., and Schnörr, C., “A Study of Nesterov's Scheme for Lagrangian Decomposition and MAP Labeling”, in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2011.

Technical Report (408.99 KB)

B. Jähne, Haußecker, H., Scharr, H., Spies, H., Schmund, D., and Schurr, U., “Study of dynamical processes with tensor-based spatiotemporal image processing techniques”, in ECCV 1998, 1998, vol. 1407, p. 322--336.

X. Zhang, Klinke, J., and Jähne, B., “A study of advection of short wind waves by long waves from surface slope images”, in The Wind-Driven Air-Sea Interface, Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes, 1999, p. 93--97.

C. Schnörr, “A Study of a Convex Variational Diffusion Approach for Image Segmentation and Feature Extraction”, J. of Math. Imag. and Vision, vol. 8, pp. 271–292, 1998.

U. Schimpf, Haußecker, H., Jähne, B., Jähne, B., Geißler, P., and Haußecker, H., “Studies of small-scale air-sea interaction with active and passive thermography”, Handbook of Computer Vision and Applications, vol. 3: Systems and Applications. Academic Press, pp. 751-762, 1999.

U. Schimpf, Haußecker, H., and Jähne, B., “Studies of air-sea gas transfer and micro turbulence at the ocean surface using passive thermography”, in The Wind-Driven Air-Sea Interface, Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes, 1999.

F. Brunswig, “Strukturanalyse von Gletschereis und Baumringen mittels Digitaler Bildanalyse”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1992.

B. Jähne, “Struktur und Chaos: Kleinskalige Austauschprozesse zwischen Atmosphäre und Meer”, Heidelberger Jahrbücher Online, Entwicklung – Wie aus Prozessen Strukturen werden, vol. 5. pp. 133–150, 2020.

F. Diego and Hamprecht, F. A., “Structured Regression Gradient Boosting”, CVPR. Proceedings. pp. 1459-1467, 2016.

Technical Report (3.97 MB)

A. Kiem, “Structured Learning on Calcium Imaging Data”, University of Heidelberg, 2016.

X. Lou and Hamprecht, F. A., “Structured Learning from Partial Annotations”, ICML 2012. Proceedings, 2012.

Technical Report (843.45 KB)

X. Lou, Kloft, M., Rätsch, G., and Hamprecht, F. A., “Structured Learning from Cheap Data”, Advanced Structured Prediction. The MIT Press, 2014.

Technical Report (8.35 MB)

X. Lou and Hamprecht, F. A., “Structured Learning for Cell Tracking”, in NIPS 2011. Proceedings, 2011, pp. 1296-1304.

Technical Report (1.41 MB)

Z. Lin, “Structure Tensor Calculation Using FPGA”, HCI Heidelberg, 2012.

U. Schurr, Schuberth, B., Aloni, R., Pradel, K. S., Schmund, D., Jähne, B., and Ullrich, C. I., “Structural and functional evidence for xylem-mediated water transport and high tranpiration in Agrobacterium tumefaciens-induced tumors of Ricinus communis”, Botanica Acta, vol. 109, p. 405--412, 1996.

F. Rathke, Hansen, K., Brefeld, U., and Müller, K. - R., “StructRank: A new approach for ligand-based virtual screening”, J. Chem. Inf. Model., vol. 51, pp. 83–92, 2010.

P. Stybalkowski, “Strömungsmessung in Sedimentporen mittel 3D Particle Tracking Velocimetry”, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2001.

F. A. Hamprecht, Peter, C., Daura, X., Thiel, W., and van Gunsteren, W. F., “A strategy for analysis of (molecular) equilibrium simulations: configuration space density estimation, clustering and visualization”, Journal of Chemical Physics, vol. 114, pp. 2079-2089, 2001.

M. Dorkenwald, Milbich, T., Blattmann, A., Rombach, R., Derpanis, K. G., and Ommer, B., “Stochastic Image-to-Video Synthesis usin cINNs”, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2021.

A. Sellent, Rother, C., and Roth, S., “Stereo Video Deblurring-Supplemental Material”, 2016.

A. Sellent, Rother, C., and Roth, S., “Stereo video deblurring”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2016, vol. 9906 LNCS, pp. 558–575.

D. Engelmann, Garbe, C. S., Stöhr, M., Geißler, P., Hering, F., and Jähne, B., “Stereo particle tracking”, in Proc. of the 8th International Symposium on Flow Visualization, 1998, p. 240--249.

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., 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.

M. Bleyer, Gelautz, M., Rother, C., and Rhemann, C., “A stereo approach that handles the matting problem via imagewarping”, in 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, 2009, vol. 2009 IEEE, pp. 501–508.

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