Action Unit Detection
14 papers with code • 1 benchmarks • 3 datasets
Action unit detection is the task of detecting action units from a video - for example, types of facial action units (lip tightening, cheek raising) from a video of a face.
( Image credit: AU R-CNN )
Libraries
Use these libraries to find Action Unit Detection models and implementations
Aff-Wild
BP4D
4DFAB
Latest papers
A Compact Embedding for Facial Expression Similarity
Most of the existing work on automatic facial expression analysis focuses on discrete emotion recognition, or facial action unit detection.
Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment
ZhiwenShao/JAANet
•
•
ECCV 2018
Facial action unit (AU) detection and face alignment are two highly correlated tasks since facial landmarks can provide precise AU locations to facilitate the extraction of meaningful local features for AU detection.
Multi-View Dynamic Facial Action Unit Detection
We then move to the novel setup of the FERA 2017 Challenge, in which we propose a multi-view extension of our approach that operates by first predicting the viewpoint from which the video was taken, and then evaluating an ensemble of action unit detectors that were trained for that specific viewpoint.
Deep Region and Multi-Label Learning for Facial Action Unit Detection
Region learning (RL) and multi-label learning (ML) have recently attracted increasing attentions in the field of facial Action Unit (AU) detection.
