random fields

Generative Hierarchical Learning of Sparse FRAME Models CVPR 2017 Truncated Max-Of-Convex Models CVPR 2017 Principled Parallel Mean-Field Inference for Discrete Random Fields CVPR 2016 Efficient Sampling for Gaussian Graphical Models via Spectral Sparsification COLT 2015 Gaussian Process Random Fields NeurIPS 2015 Shrinkage Fields for Effective Image Restoration CVPR 2014 A Principled Deep Random Field Model for Image Segmentation CVPR 2013 GeoF: Geodesic Forests for Learning Coupled Predictors CVPR 2013 Incorporating Cloud Distribution in Sky Representation ICCV 2013 Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling NeurIPS 2012 Pylon Model for Semantic Segmentation NeurIPS 2011 Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance NeurIPS 2011 An Analysis of Convex Relaxations for MAP Estimation NeurIPS 2007