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markov-random-fields

Here are 11 public repositories matching this topic...

aeolusguan / NMRF

[CVPR 2024] Neural Markov Random Field for Stereo Matching

transformer stereo-matching neural-message-passing neuro-symbolic-learning markov-random-fields

Updated May 9, 2026
Python

stecrotti / BeliefPropagation.jl

The Belief Propagation approximation for probability distributions on sparse graphs

inference graphical-models belief-propagation markov-random-fields stat-mech

Updated Oct 3, 2026
Julia

salimandre / Markov-Random-Fields

Image denoising using Markov random fields.

icm bayesian-inference probabilistic-graphical-models gibbs-sampling image-denoising potts-model undirected-graph metropolis-hastings-algorithm markov-random-fields

Updated Feb 20, 2020
Python

avani17101 / Computer-Vision

Done as part of Computer Vision course assignments(spring 2021) at IIIT Hyderabad.

deep-learning camera-calibration face-detection transfer-learning scene-recognition image-denoising grabcut-segmentation stereo-correspondence markov-random-fields image-mosaicing

Updated May 10, 2021
Jupyter Notebook

GabMartino / MarkovRandomFieldsExplained

Some little lectures to better understand the usage of Markov/Conditional Random Fields.

markov-random-field mrf markov-random-fields

Updated Feb 15, 2024
Jupyter Notebook

FirstHandScientist / renn

RENN

learning inference probabilistic-graphical-models markov-random-fields

Updated Nov 27, 2020
Python

petrubraha-classes / class-pmp

Assignments in probabilistic programming and modeling class

bayesian-inference hidden-markov-models markov-random-fields

Updated Jan 26, 2026
Jupyter Notebook

santhu932 / Computer-Vision-Challenges

Computer vision assignments that encompass both foundational and advanced principles.

template-matching hough-transform camera-projection stereo-depth-estimation markov-random-fields

Updated Jun 9, 2023
Python

netw0rkf10w / NoRELAX-cpp

C++ implementation of the NoRELAX methods presented in Continuous Relaxation of MAP Inference: A Nonconvex Perspective (CVPR 2018)

graphical-models conditional-random-fields discrete-optimization crfs map-inference mrfs markov-random-fields

Updated Jun 17, 2020
C++

anjalichennupati / Video_Anomaly_Detection_Using_MRF

A video anomaly detection system using Markov Random Fields (MRFs) and autoencoders. It extracts frames, segments them using MRFs, and leverages autoencoders for anomaly detection. The system improves detection accuracy and reduces computation time by 60%, making it efficient for real-time surveillance applications.

python markov-random-fields ieee-publication

Updated Feb 28, 2025
Jupyter Notebook

realjules / cvae-quadratreeMRF

A novel semi-supervised framework combining contrastive learning with hierarchical probabilistic graphical models for remote sensing with limited labeled data. Our approach enhances CRFNet by learning discriminative representations from unlabeled imagery while capturing multi-resolution spatial dependencies.

deep-learning pgm remote-sensing semi-supervised-learning image-segmentation probabilistic-graphical-models contrastive-learning markov-random-fields

Updated Jun 12, 2026
Python

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