Publications

F. Lenzen and Berger, J., “Solution-Driven Adaptive Total Variation Regularization”, in LNCS, 2015.

M. Atif, Zimmermann, K., and Jähne, B., “A space-variant (3D) image simulation tool for computational cameras”, in International Conference on Computational Photography (ICCP) 2010, 2010.

F. Diego and Hamprecht, F. A., “Sparse Space-Time Deconvolution for Calcium Image Analysis”, in NIPS. Proceedings, 2014, pp. 64-72.

Technical Report (5.27 MB)

S. Petra, Schröder, A., Wieneke, B., and Schnörr, C., “On Sparsity Maximization in Tomographic Particle Image Reconstruction”, in Pattern Recognition -- 30th DAGM Symposium, 2008, vol. 5096, p. 294--303.

Technical Report (1014.71 KB)

S. Petra, Schröder, A., Wieneke, B., and Schnörr, C., “On Sparsity Maximization in Tomographic Particle Image Reconstruction”, in Pattern Recognition – 30th DAGM Symposium, 2008, vol. 5096, pp. 294–303.

S. Wanner and Goldlücke, B., “Spatial and Angular Variational Superresolution of 4D Light Fields”, in ECCV 2012. Proceedings, Part 5, 2012, vol. 7576, pp. 608-621.

S. Wanner and Goldlücke, B., “Spatial and Angular Variational Super-Resolution of 4D Light Fields”, in European Conference on Computer Vision (ECCV), 2012.

J. Klinke and Jähne, B., “Spatial measurement of short ocean waves during the MBL-ARI West Coast Experiment”, in IAPSO Proceedings, XXI General Assembly, Honolulu, Hawai, August 1995, PS-10 Spatial Structure of Short Ocean Waves, 1995, p. 390.

C. Rhemann, Rother, C., Kohli, P., and Gelautz, M., “A spatially varying PSF-based prior for alpha matting”, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010, pp. 2149–2156.

A. G. Herzog, Friedl, F., and Jähne, B., “Spatio-temporal fluctuations of water-sided gas concentration fields under wind-induced turbulence”, in 6th Int. Symp. Gas Transfer at Water Surfaces, Kyoto, May 17--21, 2010, 2010.

R. Rocholz and Jähne, B., “Spatio-temporal measurements of short wind water waves”, in EGU General Assembly 2010, Symposium AS2.2, 2010, pp. EGU2010-5509.

B. Antic, Büchler, U., Wahl, A. - S., Schwab, M. E., and Ommer, B., “Spatiotemporal Parsing of Motor Kinematics for Assessing Stroke Recovery”, in Medical Image Computing and Computer-Assisted Intervention, 2015.

Article (2.24 MB)

F. Lauer and Schnörr, C., “Spectral Clustering of Linear Subspaces for Motion Segmentation”, in Proceedings of the IEEE Conference on Computer Vision (ICCV 09) Kyoto, Japan, in press, 2009, pp. 678-685.

F. Lauer and Schnörr, C., “Spectral Clustering of Linear Subspaces for Motion Segmentation”, in Proc. IEEE Int. Conf. Computer Vision (ICCV'09), Kyoto, Japan, 2009.

F. Lauer and Schnörr, C., “Spectral Clustering of Linear Subspaces for Motion Segmentation”, in Proc.~IEEE Int.~Conf.~Computer Vision (ICCV'09), 2009.

Technical Report (1.12 MB)

M. Hornáček, Fitzgibbon, A., and Rother, C., “SphereFlow: 6 DoF scene flow from RGB-D pairs”, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2014, pp. 3526–3533.

B. Krolla, Diebold, M., Goldlücke, B., and Stricker, D., “Spherical Light Fields”, in Proceedings of the British Machine Vision Conference, 2014.

S. Schmidt, Kappes, J. H., Bergtholdt, M., Pekar, V., Dries, S., Bystrov, D., and Schnörr, C., “Spine Detection and Labeling Using a Parts-Based Graphical Model”, in Proc. 20th International Conference on Information Processing in Medical Imaging (IPMI 2007), 2007, vol. 4584, pp. 122-133.

Technical Report (1.46 MB)

K. Berger, Meister, S., Nair, R., and Kondermann, D., “A State of the Art Report on Kinect Sensor Setups in Computer Vision”, in Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications, 2013, vol. 8200, pp. 257-272.

C. Kondermann, Mester, R., and Garbe, C. S., “A statistical confidence measure for optical flows”, in Proceedings of the ECCV, 2008, vol. 5304, p. 290--301.

M. Brocke, “Statistical Image Sequence Processing for Temporal Change Detection”, in Proceedings of the 24th DAGM Symposium on Pattern Recognition, 2002, vol. LNCS 2449, p. 215--223.

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.

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. 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.

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.

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

Technical Report (1.41 MB)

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.

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.

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.

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. 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.

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.

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.

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