Publications
Journal Article
Arnab, A, Zheng, S, Jayasumana, S, Romera-paredes, B, Kirillov, A, Savchynskyy, B, Rother, C, Kahl, F and Torr, P (2018).
Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation.
Cvpr.
XX 1–15.
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.308.8889&rep=rep1&type=pdf%0Ahttp://dx.doi.org/10.1109/CVPR.2012.6248050 Conference Paper
Levinkov, E, Uhrig, J, Tang, S, Omran, M, Insafutdinov, E, Kirillov, A, Rother, C, Brox, T, Schiele, B and Andres, B (2017).
Joint graph decomposition & node labeling: Problem, algorithms, applications.
Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017.
2017-Janua 1904–1912
Kirillov, A, Levinkov, E, Andres, B, Savchynskyy, B and Rother, C (2017).
InstanceCut: From edges to instances with MultiCut.
Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017.
2017-Janua 7322–7331
Kirillov, A, Savchynskyy, B, Schlesinger, D, Vetrov, D and Rother, C (2015).
Inferring M-best diverse labelings in a single one.
Proceedings of the IEEE International Conference on Computer Vision.
2015 Inter 1814–1822
Michel, F, Kirillov, A, Brachmann, E, Krull, A, Gumhold, S, Savchynskyy, B and Rother, C (2017).
Global hypothesis generation for 6D object pose estimation.
Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017.
2017-Janua 115–124.
http://arxiv.org/abs/1612.02287
] Year