[ICCV 2025 Highlight] BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment

This project has two parts. In part one, we use markov random field to denoise an image. In Part two, we use similar model for image segmentation.

A high-performance general-purpose MRF MAP solver, heavily exploiting SIMD instructions.

LBP-based segmentation of defocus blur

GammaRay: a graphical interface to GSLib and other geomodeling algorithms. *NEW* in May, 6th: Drift analysis.

Image Crowd Counting Using Convolutional Neural Network and Markov Random Field

Markov random fields with covariates

Image segmentation using the EM algorithm that relies on a GMM for intensities and a MRF model on the labels. Based on "Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm" (Zhang, Y et al.)

A Tutorial on Modeling and Inference in Undirected Graphical Models for Hyperspectral Image Analysis

A Bayesian framework for Multi-Frame Image Super-Resolution. Based on "Bayesian Image Super-Resolution" (ME Tipping and CM Bishop, NeurIPS 2003)

Conditional Auto-Regressive LASSO in R

Framework for event- and frame-based stereo matching using SNNs and MRFs

Probabilistic machine learning for reconstruction and parametrization of electronic band sturcture from photoemission spectroscopy data

Expectation Particle Belief Propagation code

An R package for analysis of Markov Random Fields on 2-dimensional lattices.

Evaluating dependencies among random variables.

Bayesian Analysis of Graphical Models

A MAP-MRF Framework for Image Denoising

TREC'15 CDS Competition: WSU-IR at TREC 2015 Clinical Decision Support Track: Joint Weighting of Explicit and Latent Medical Query Concepts from Diverse Sources [code]

Probabilistic Graphical Models final project