Learning a Hierarchical Deformable Template for Rapid Deformable Object Parsing

Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing

Unsupervised Learning of Probabilistic Grammar-Markov Models for Object Categories

Structure-Perceptron Learning of a Hierarchical Log-Linear Model

Unsupervised Learning of Probabilistic Object Models (POMs) for Object Classification, Segmentation and Recognition using Knowledge Propagation

Unsupervised Learning of Probabilistic Object Models (POMs) for Object Classification, Segmentation and Recognition using Knowledge Propagation

Unsupervised Learning of Probabilistic Object Models (POMs) for Object Classification, Segmentation and Recognition using Knowledge Propagation

Recursive Segmentation and Recognition Templates for 2D Parsing

Max Margin AND/OR Graph Learning for Parsing the Human Body