924 citations · 4.1k across the 42 of their papers we have counts for
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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…
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…
Bayesian Inference for NMR Spectroscopy with Applications to Chemical Quantification
Andrew Gordon Wilson, Yuting Wu, Daniel J. Holland +4
Nuclear magnetic resonance (NMR) spectroscopy exploits the magnetic properties of atomic nuclei to discover the structure, reaction state and chemical environment of molecules. We…
The Informed Sampler: A Discriminative Approach to Bayesian Inference in Generative Computer Vision Models
Varun Jampani, Sebastian Nowozin, Matthew Loper +1
Computer vision is hard because of a large variability in lighting, shape, and texture; in addition the image signal is non-additive due to occlusion. Generative models promised to…