Iterated Linear Optimization
AMS Special Session on Applied Combinatorics 2021

Scene Grammars, Factor Graphs, and Belief Propagation
General framework for Bayesian inference with scene grammars

Multiscale Models for Shapes and Images
Pattern Theory Seminar 2014

Graphical Models for Computer Vision
Uncertainty in Artificial Intelligence 2012

Compositional Models
Motivations and challenges

Fast Inference with Min-Sum Matrix Product
(or how I finished a homework assignment 15 years later)

Object Recognition with Deformable Models
Algorithms for deformable models

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

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

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