Machine Learning and Optimization

We showcase the efficacy of our approach in a user study, where we demonstrate orders-of-magnitude improvements in search quality compared to baseline systems.

In this paper, we propose to learn appearance measures for patches that are combined using a spring model for addressing the correspondence problem.

We propose an alternating optimization procedure that estimates lower body orientations and detects groups of interacting people.