Some presentation slides


Object Recognition with Deformable Models.
Algorithms for deformable models and our entry in the PASCAL challenge.

Efficient Belief Propagation for Low Level Vision.
Fast algorithms for solving MRFs using loopy belief propagation.

Models and Algorithms for Image Parsing.
Generalized A* framework for solving large "parsing" problems.

Hierarchical Matching of Deformable Shapes.
Recent work on shape recognition.

A Min-Cover Approach for Finding Salient Curves.
An approach for finding a "global interpretation" of an image in terms of a set of smooth curves.

Spatial Priors for Part-Based Recognition.
Describes k-fans, a family of graphical models for part-based recognition.

Object Recognition with Pictorial Structures.
An introduction to fast algorithms for matching part-based models to images.

Representation and Detection of Shapes in Images.
Describes the work in my PhD thesis.