841 citations · 7.7k across the 158 of their papers we have counts for
4 papers · 1 filter
Blending Learning and Inference in Structured Prediction
Tamir Hazan, Alexander Schwing, David McAllester +1
In this paper we derive an efficient algorithm to learn the parameters of structured predictors in general graphical models. This algorithm blends the learning and inference tasks,…
Efficient Structured Prediction with Latent Variables for General Graphical Models
Alexander Schwing, Tamir Hazan, Marc Pollefeys +1
In this paper we propose a unified framework for structured prediction with latent variables which includes hidden conditional random fields and latent structured support vector ma…
Multi-View Learning in the Presence of View Disagreement
C. Christoudias, Raquel Urtasun, Trevor Darrell
Traditional multi-view learning approaches suffer in the presence of view disagreement,i.e., when samples in each view do not belong to the same class due to view corruption, occlu…
Continuous Markov Random Fields for Robust Stereo Estimation
Koichiro Yamaguchi, Tamir Hazan, David McAllester +1
In this paper we present a novel slanted-plane MRF model which reasons jointly about occlusion boundaries as well as depth. We formulate the problem as the one of inference in a hy…