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Micro-Expression Recognition

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.

Papers

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Showing 41–50 of 74 papers

TitleStatusHype
Deep Learning for Micro-expression Recognition: A Survey—0
Self-Supervised Approach for Facial Movement Based Optical Flow—0
A comparative study on movement feature in different directions for micro-expression recognition—0
Feature refinement: An expression-specific feature learning and fusion method for micro-expression recognition—0
Objective Class-based Micro-Expression Recognition through Simultaneous Action Unit Detection and Feature Aggregation—0
An Overview of Facial Micro-Expression Analysis: Data, Methodology and Challenge—0
MERANet: Facial Micro-Expression Recognition using 3D Residual Attention Network—0
A Multi-stream Convolutional Neural Network for Micro-expression Recognition Using Optical Flow and EVM—0
SMA-STN: Segmented Movement-Attending Spatiotemporal Network forMicro-Expression Recognition—0
Revealing the Invisible with Model and Data Shrinking for Composite-database Micro-expression Recognition—0
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