facial-action-units

Python library for analysing faces using PyTorch

[IJCAI 2022] Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition, Pytorch code

Pytorch implementation of Multi-View Dynamic Facial Action Unit Detection, Image and Vision Computing (2018)

[TAFFC2026] The official implementation code for "Bidirectional Learning of Facial Action Units and Expressions via Structured Semantic Mapping across Heterogeneous Datasets"

Predicting FAU intensities to determine the type of emotion.

Introduction to Facial Micro Expressions Analysis Using Color and Depth Images (a Matlab Coding Approach) - Second Edition (2023)

A comprehensive framework for detecting student engagement using per-frame features extracted by OpenFace (Action Units, head pose, gaze, blink metrics) and MediaPipe (facial point landmarks) with both classical ML (XGBoost, SVM, RF etc.) and deep-learning models (ResNet, EfficientNet, etc.).

Code and files relevant for my bachelor's thesis on "Automatic Facial Emotion Recognition through Information Fusion"

Paper Reviews for CSE-704: Practical Techniques in Deep Learning

Facial AU dynamics extraction (MediaPipe) + convolutional VAE phenotyping + speech fusion (OpenSMILE) for clinical interview analysis. R²=0.69 on synthetic data.

Repurposing cybersecurity UEBA telemetry to sense affect and protect Flow in knowledge work — methodological contribution of a master's thesis (no participant data).

This repo is for my thesis project - to predict BIG-5 personality type using the facial expressions using MULTISIMO Dataset

Deepfake Detection using Microexpression Analysis with Framewise Optical Flow and Facial Action Units