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 …

Micro-expression (ME) recognition has attracted numerous interests within the computer
vision circle in different contexts particularly, localization, magnification, and 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 …

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 …

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 …

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 …

In this paper, we propose a compact frame-based facial expression recognition framework
for facial expression recognition which achieves very competitive performance with respect …

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 …

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 …

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 …