Publications

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2019
O. Hosseini Jafari, Mustikovela, S. Karthik, Pertsch, K., Brachmann, E., and Rother, C., iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019, vol. 11363 LNCS, pp. 477–492.
2017
A. Kirillov, Levinkov, E., Andres, B., Savchynskyy, B., and Rother, C., InstanceCut: From edges to instances with MultiCut, in Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 2017, vol. 2017-Janua, pp. 7322–7331.
2016
J. Mund, Michel, F., Dieke-Meier, F., Fricke, H., Meyer, L., and Rother, C., Introducing LiDAR Point Cloud-based Object Classification for Safer Apron Operations, in International Symposium on Enhanced Solutions for Aircraft and Vehicle Surveillance Applications, 2016.
2015
A. Kirillov, Savchynskyy, B., Schlesinger, D., Vetrov, D., and Rother, C., Inferring M-best diverse labelings in a single one, in Proceedings of the IEEE International Conference on Computer Vision, 2015, vol. 2015 Inter, pp. 1814–1822.
K. Schelten, Nowozin, S., Jancsary, J., Rother, C., and Roth, S., Interleaved regression tree field cascades for blind image deconvolution, in Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015, 2015, pp. 494–501.
2011
E. Töppe, Oswald, M. R., Cremers, D., and Rother, C., Image-based 3D modeling via cheeger sets, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2011, vol. 6492 LNCS, pp. 53–64.
C. Rother and Kolmogorov, V., Interactive foreground extraction using graph cut, Advances in Markov \ldots, pp. 1–20, 2011.
2009
V. Lempitsky, Kohli, P., Rother, C., and Sharp, T., Image segmentation with a bounding box prior, in Proceedings of the IEEE International Conference on Computer Vision, 2009, pp. 277–284.
2008
V. Lempitsky, Blake, A., and Rother, C., Image segmentation by branch-and-mincut, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2008, vol. 5305 LNCS, pp. 15–29.
V. Lempitsky, Blake, A., and Rother, C., Image segmentation by branch-and-mincut, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2008, vol. 5305 LNCS, pp. 15–29.
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.