Publications

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S. Petra, Schnörr, C., Becker, F., and Lenzen, F., B-SMART: Bregman-Based First-Order Algorithms for Non-Negative Compressed Sensing Problems, in Proceedings of the 4th International Conference on Scale Space and Variational Methods in Computer Vision SSVM, 2013, pp. 110-124.
S. Petra, Schnörr, C., Becker, F., and Lenzen, F., B-SMART: Bregman-Based First-Order Algorithms for Non-Negative Compressed Sensing Problems, in Proceedings of the 4th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM) 2013, 2013, vol. 7893, pp. 110-124.PDF icon Technical Report (1.15 MB)
S. Weber, Schüle, T., Schnörr, C., and Kuba, A., Binary Tomography with Deblurring, in Combinatorial Image Analysis, 2006, vol. 4040, pp. 375-388.PDF icon Technical Report (803.63 KB)
S. Weber, Nagy, A., Schüle, T., Schnörr, C., and Kuba, A., A Benchmark Evaluation of Large-Scale Optimization Approaches to Binary Tomography, in Discrete Geometry for Computer Imagery (DGCI 2006), 2006, vol. 4245, pp. 146-156.PDF icon Technical Report (301.1 KB)
A
S. Petra and Schnörr, C., Average Case Recovery Analysis of Tomographic Compressive Sensing, Linear Algebra and its Applications, vol. 441, pp. 168-198, 2014.PDF icon Technical Report (1.85 MB)
N. Gianniotis, Schnörr, C., Molkenthin, C., and Bora, S. S., Approximate variational inference based on a finite sample of Gaussian latent variables, Patt.~Anal.~Appl., 2015.PDF icon Technical Report (1.4 MB)
W. Hinterberger, Scherzer, O., Schnörr, C., and Weickert, J., Analysis of Optical Flow Models in the Framework of Calculus of Variations, Numer. Funct. Anal. Optimiz., vol. 23, pp. 69–89, 2002.
E. Bodnariuc, Gurung, A., Petra, S., and Schnörr, C., Adaptive Dictionary-Based Spatio-temporal Flow Estimation for Echo PIV, in Proc.~EMMCVPR, 2015, vol. 8932, p. 378--391.PDF icon Technical Report (951.37 KB)
E. Bodnariuc, Gurung, A., Petra, S., and Schnörr, C., Adaptive Dictionary-Based Spatio-temporal Flow Estimation for Echo PIV, in EMMCVPR, 2015.
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.
S. Petra, Popa, C., and Schnörr, C., Accelerating Constrained SIRT with Applications in Tomographic Particle Image Reconstruction, IWR, University of Heidelberg, 2009.PDF icon Technical Report (3.33 MB)

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