Micro-Expression Recognition Edit Task
Computer Vision • Facial Expression Recognition
About
Facial Micro-Expression Recognition is a challenging task in identifying suppressed emotion in a high-stake environment, often comes in very brief duration and subtle changes.
Benchmarks
Latest papers without code
A comparative study on movement feature in different directions for micro-expression recognition
In this paper, HSDG in every direction is concatenated with LBP-TOP to obtain the LBP with Single Direction Gradient (LBP-SDG) and analyze which direction of movement feature is more discriminative for micro-expression recognition.
Feature refinement: An expression-specific feature learning and fusion method for micro-expression recognition
It aims to obtain salient and discriminative features for specific expressions and also predict expression by fusing the expression-specific features.
Objective Class-based Micro-Expression Recognition through Simultaneous Action Unit Detection and Feature Aggregation
In this paper, we propose a novel deep neural network model for objective class-based MER, which simultaneously detects AUs and aggregates AU-level features into micro-expression-level representation through Graph Convolutional Networks (GCN).
An Overview of Facial Micro-Expression Analysis: Data, Methodology and Challenge
Facial micro-expressions indicate brief and subtle facial movements that appear during emotional communication.
MICRO-EXPRESSION RECOGNITION MICRO-EXPRESSION SPOTTING SYNTHETIC DATA GENERATION
MERANet: Facial Micro-Expression Recognition using 3D Residual Attention Network
We propose a facial micro-expression recognition model using 3D residual attention network called MERANet.
A Multi-stream Convolutional Neural Network for Micro-expression Recognition Using Optical Flow and EVM
On the other hand, some methods based on deep learning also cannot get high accuracy due to problems such as the imbalance of databases.
SMA-STN: Segmented Movement-Attending Spatiotemporal Network forMicro-Expression Recognition
Correctly perceiving micro-expression is difficult since micro-expression is an involuntary, repressed, and subtle facial expression, and efficiently revealing the subtle movement changes and capturing the significant segments in a micro-expression sequence is the key to micro-expression recognition (MER).
Revealing the Invisible with Model and Data Shrinking for Composite-database Micro-expression Recognition
In this paper, we analyze the influence of learning complexity, including the input complexity and model complexity, and discover that the lower-resolution input data and shallower-architecture model are helpful to ease the degradation of deep models in composite-database task.
Non-Linearities Improve OrigiNet based on Active Imaging for Micro Expression Recognition
However, existing networks fail to establish a relationship between spatial features of facial appearance and temporal variations of facial dynamics.
Mean Oriented Riesz Features for Micro Expression Classification
Micro-expressions are brief and subtle facial expressions that go on and off the face in a fraction of a second.