264 citations · 1.1k across the 53 of their papers we have counts for
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cs.CV2014★ 5 cited
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems
Jörg H. Kappes, Bjoern Andres, Fred A. Hamprecht +10
Szeliski et al. published an influential study in 2006 on energy minimization methods for Markov Random Fields (MRF). This study provided valuable insights in choosing the best opt…
cs.CV2014★ 89 cited
Cascades of Regression Tree Fields for Image Restoration
Uwe Schmidt, Jeremy Jancsary, Sebastian Nowozin +2
Conditional random fields (CRFs) are popular discriminative models for computer vision and have been successfully applied in the domain of image restoration, especially to image de…