A.  Arnab, Zheng, S., Jayasumana, S., Romera-paredes, B., Kirillov, A., Savchynskyy, B., Rother, C., Kahl, F., and Torr, P., ?Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation?, Cvpr, vol. XX, pp. 1?15, 2018.

O.  Hosseini Jafari, Groth, O., Kirillov, A., Yang, M. Ying, and Rother, C., ?Analyzing modular CNN architectures for joint depth prediction and semantic segmentation?, in Proceedings - IEEE International Conference on Robotics and Automation, 2017, pp. 4620?4627.

F.  Michel, Kirillov, A., Brachmann, E., Krull, A., Gumhold, S., Savchynskyy, B., and Rother, C., ?Global hypothesis generation for 6D object pose estimation?, in Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 2017, vol. 2017-Janua, pp. 115?124.

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.

E.  Levinkov, Uhrig, J., Tang, S., Omran, M., Insafutdinov, E., Kirillov, A., Rother, C., Brox, T., Schiele, B., and Andres, B., ?Joint graph decomposition & node labeling: Problem, algorithms, applications?, in Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 2017, vol. 2017-Janua, pp. 1904?1912.

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.

A.  Kirillov, Schlesinger, D., Vetrov, D., Rother, C., and Savchynskyy, B., ?M-best-diverse labelings for submodular energies and beyond?, in Advances in Neural Information Processing Systems, 2015, vol. 2015-Janua, pp. 613?621.