Publications
2012
Mansfield, A, Gehler, P, Van Gool, L and Rother, C (2012).
Visibility maps for improving seam carving.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
6554 LNCS 131–144.
http://www.adobe.com/products/photoshop/photoshopextended/features/ Meister, S, Izadi, S, Kohli, P, Hämmerle, M, Rother, C and Kondermann, D (2012).
When Can We Use KinectFusion for Ground Truth Acquisition?.
Workshop on Color-Depth Camera Fusion in Robotics, IEEE International
Conference on Intelligent Robots and Systems 2011
Nowozin, S, Rother, C, Bagon, S, Sharp, T, Yao, B and Kohli, P (2011).
Decision tree fields.
Proceedings of the IEEE International Conference on Computer Vision. 1668–1675
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
Töppe, E, Oswald, M R, Cremers, D and Rother, C (2011).
Image-based 3D modeling via cheeger sets.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
6492 LNCS 53–64
Vicente, S, Rother, C and Kolmogorov, V (2011).
Object cosegmentation.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2217–2224
Bleyer, M, Rother, C, Kohli, P, Scharstein, D and Sinha, S (2011).
Object stereo Joint stereo matching and object segmentation.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 3081–3088
Pletscher, P, Nowozin, S, Kohli, P and Rother, C (2011).
Putting MAP back on the map.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
6835 LNCS 111–121
Pletscher, P, Nowozin, S, Kohli, P and Rother, C (2011).
Putting MAP back on the map.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
6835 LNCS 111–121
Gehler, P Vincent, Rother, C, Kiefel, M, Zhang, L and Schölkopf, B (2011).
Recovering intrinsic images with a global sparsity prior on reflectance.
Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011 2010
Vicente, S, Kolmogorov, V and Rother, C (2010).
Cosegmentation revisited: Models and optimization.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
6312 LNCS 465–479
Lempitsky, V, Rother, C, Roth, S and Blake, A (2010).
Fusion moves for markov random field optimization.
IEEE Transactions on Pattern Analysis and Machine Intelligence.
32 1392–1405
Lempitsky, V, Rother, C, Roth, S and Blake, A (2010).
Fusion moves for markov random field optimization.
IEEE Transactions on Pattern Analysis and Machine Intelligence.
32 1392–1405
Gulshan, V, Rother, C, Criminisi, A, Blake, A and Zisserman, A (2010).
Geodesic star convexity for interactive image segmentation.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 3129–3136
Mansfield, A, Gehler, P, Van Gool, L and Rother, C (2010).
Scene carving: Scene consistent image retargeting.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
6311 LNCS 143–156.
www.fujifilm.com/products/3d/camera/finepix_ 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
Bleyer, M, Rother, C and Kohli, P (2010).
Surface stereo with soft segmentation.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 1570–1577
Glocker, B, T. Heibel, H, Navab, N, Kohli, P and Rother, C (2010).
TriangleFlow: Optical flow with triangulation-based higher-order likelihoods.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
6313 LNCS 272–285.
http://vision.middlebury.edu/flow/ 2009
Lempitsky, V, Kohli, P, Rother, C and Sharp, T (2009).
Image segmentation with a bounding box prior.
Proceedings of the IEEE International Conference on Computer Vision. 277–284
Vicente, S, Kolmogorov, V and Rother, C (2009).
Joint optimization of segmentation and appearance models.
Proceedings of the IEEE International Conference on Computer Vision. 755–762
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, 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
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
Pages
]