A comprehensive survey on automatic facial action unit analysis
R Zhi, M Liu, D Zhang - The Visual Computer, 2020 - Springer
Abstract Facial Action Coding System is the most influential sign judgment method for facial
behavior, and it is a comprehensive and anatomical system which could encode various …
behavior, and it is a comprehensive and anatomical system which could encode various …
Micro-expression recognition: an updated review of current trends, challenges and solutions
Micro-expression (ME) recognition has attracted numerous interests within the computer
vision circle in different contexts particularly, localization, magnification, and recognition …
vision circle in different contexts particularly, localization, magnification, and recognition …
Joint fine-tuning in deep neural networks for facial expression recognition
Temporal information has useful features for recognizing facial expressions. However, to
manually design useful features requires a lot of effort. In this paper, to reduce this effort, a …
manually design useful features requires a lot of effort. In this paper, to reduce this effort, a …
Automatic analysis of facial affect: A survey of registration, representation, and recognition
E Sariyanidi, H Gunes… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
Automatic affect analysis has attracted great interest in various contexts including the
recognition of action units and basic or non-basic emotions. In spite of major efforts, there …
recognition of action units and basic or non-basic emotions. In spite of major efforts, there …
Peak-piloted deep network for facial expression recognition
Objective functions for training of deep networks for face-related recognition tasks, such as
facial expression recognition (FER), usually consider each sample independently. In this …
facial expression recognition (FER), usually consider each sample independently. In this …
Facial expression recognition in video with multiple feature fusion
Video based facial expression recognition has been a long standing problem and attracted
growing attention recently. The key to a successful facial expression recognition system is to …
growing attention recently. The key to a successful facial expression recognition system is to …
A compact deep learning model for robust facial expression recognition
In this paper, we propose a compact frame-based facial expression recognition framework
for facial expression recognition which achieves very competitive performance with respect …
for facial expression recognition which achieves very competitive performance with respect …
Spatio-temporal convolutional features with nested LSTM for facial expression recognition
In this paper, we propose a novel end-to-end architecture termed Spatio-Temporal
Convolutional features with Nested LSTM (STC-NLSTM), which learns the muti-level …
Convolutional features with Nested LSTM (STC-NLSTM), which learns the muti-level …
Selective transfer machine for personalized facial expression analysis
Automatic facial action unit (AU) and expression detection from videos is a long-standing
problem. The problem is challenging in part because classifiers must generalize to …
problem. The problem is challenging in part because classifiers must generalize to …
Face recognition using deep multi-pose representations
We introduce our method and system for face recognition using multiple pose-aware deep
learning models. In our representation, a face image is processed by several pose-specific …
learning models. In our representation, a face image is processed by several pose-specific …