Publications

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Author Title Type [ Year(Desc)]
Filters: Author is Rhemann, Christoph  [Clear All Filters]
2008
C. Rhemann, Rother, C., Rav-Acha, A., and Sharp, T., High resolution matting via interactive trimap segmentation, in 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2008.
C. Rhemann, Rother, C., Rav-Acha, A., and Sharp, T., High resolution matting via interactive trimap segmentation, in 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2008.
C. Rhemann, Rother, C., Rav-Acha, A., and Sharp, T., High resolution matting via interactive trimap segmentation, in 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2008.
C. Rhemann, Rother, C., and Gelautz, M., Improving color modeling for alpha matting, in BMVC 2008 - Proceedings of the British Machine Vision Conference 2008, 2008.
2009
D. Singaraju, Rother, C., and Rhemann, C., New appearance models for natural image matting, in 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, 2009, vol. 2009 IEEE, pp. 659–666.
C. Rhemann, Rother, C., Wang, J., Gelautz, M., Kohli, P., and Rott, P., A perceptually motivated online benchmark for image matting, in 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, 2009, vol. 2009 IEEE, pp. 1826–1833.
C. Rhemann, Rother, C., Wang, J., Gelautz, M., Kohli, P., and Rott, P., A perceptually motivated online benchmark for image matting, in 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, 2009, vol. 2009 IEEE, pp. 1826–1833.
C. Rhemann, Rother, C., Wang, J., Gelautz, M., Kohli, P., and Rott, P., A perceptually motivated online benchmark for image matting, in 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, 2009, vol. 2009 IEEE, pp. 1826–1833.
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.
2010
D. Singaraju, Rother, C., and Rhemann, C., New appearance models for natural image matting, 2010, pp. 659–666.
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.
2011
K. He, Rhemann, C., Rother, C., Tang, X., and Sun, J., A global sampling method for alpha matting, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2011, pp. 2049–2056.
M. Bleyer, Rhemann, C., and Rother, C., PatchMatch Stereo - Stereo Matching with Slanted Support Windows, 2011, pp. 14.1–14.11.
2012
M. Bleyer, Rhemann, C., and Rother, C., Extracting 3D scene-consistent object proposals and depth from stereo images, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, vol. 7576 LNCS, pp. 467–481.
M. Bleyer, Rhemann, C., and Rother, C., Extracting 3D scene-consistent object proposals and depth from stereo images, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, vol. 7576 LNCS, pp. 467–481.
P. Kohli, Nickisch, H., Rother, C., and Rhemann, C., User-centric learning and evaluation of interactive segmentation systems, International Journal of Computer Vision, vol. 100, pp. 261–274, 2012.
2013
M. Hornáček, Rhemann, C., Gelautz, M., and Rother, C., Depth super resolution by rigid body self-similarity in 3D, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2013, pp. 1123–1130.
A. Hosni, Rhemann, C., Bleyer, M., Rother, C., and Gelautz, M., Fast cost-volume filtering for visual correspondence and beyond, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, pp. 504–511, 2013.