4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CV2015★ 4 cited
Submodular relaxation for inference in Markov random fields
Anton Osokin, Dmitry Vetrov
In this paper we address the problem of finding the most probable state of a discrete Markov random field (MRF), also known as the MRF energy minimization problem. The task is know…
cs.CV2014
Multi-utility Learning: Structured-output Learning with Multiple Annotation-specific Loss Functions
Roman Shapovalov, Dmitry Vetrov, Anton Osokin +1
Structured-output learning is a challenging problem; particularly so because of the difficulty in obtaining large datasets of fully labelled instances for training. In this paper w…