Publications
Conference Paper
Bleyer, M, Gelautz, M, Rother, C and Rhemann, C (2009).
A stereo approach that handles the matting problem via imagewarping.
2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009.
2009 IEEE 501–508
Rhemann, C, Rother, C, Kohli, P and Gelautz, M (2010).
A spatially varying PSF-based prior for alpha matting.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2149–2156
Rhemann, C, Rother, C, Wang, J, Gelautz, M, Kohli, P and Rott, P (2009).
A perceptually motivated online benchmark for image matting.
2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009.
2009 IEEE 1826–1833.
www.alphamatting.com. Rhemann, C, Rother, C, Wang, J, Gelautz, M, Kohli, P and Rott, P (2009).
A perceptually motivated online benchmark for image matting.
2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009.
2009 IEEE 1826–1833.
www.alphamatting.com. Rhemann, C, Rother, C, Wang, J, Gelautz, M, Kohli, P and Rott, P (2009).
A perceptually motivated online benchmark for image matting.
2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009.
2009 IEEE 1826–1833
Singaraju, D, Rother, C and Rhemann, C (2009).
New appearance models for natural image matting.
2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009.
2009 IEEE 659–666
Rhemann, C, Rother, C and Gelautz, M (2008).
Improving color modeling for alpha matting.
BMVC 2008 - Proceedings of the British Machine Vision Conference 2008 He, K, Rhemann, C, Rother, C, Tang, X and Sun, J (2011).
A global sampling method for alpha matting.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2049–2056
Bleyer, M, Rhemann, C and Rother, C (2012).
Extracting 3D scene-consistent object proposals and depth from stereo images.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
7576 LNCS 467–481.
http://vision.middlebury.edu/stereo/ Bleyer, M, Rhemann, C and Rother, C (2012).
Extracting 3D scene-consistent object proposals and depth from stereo images.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
7576 LNCS 467–481
Hornáček, M, Rhemann, C, Gelautz, M and Rother, C (2013).
Depth super resolution by rigid body self-similarity in 3D.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 1123–1130