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, 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, 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, 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.