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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 31–40 of 74 papers

TitleStatusHype
Multi-scale multi-modal micro-expression recognition algorithm based on transformer—0
DFME: A New Benchmark for Dynamic Facial Micro-expression Recognition—0
SelfME: Self-Supervised Motion Learning for Micro-Expression Recognition—0
Deep Insights of Learning based Micro Expression Recognition: A Perspective on Promises, Challenges and Research Needs—0
Micro-Expression Recognition Based on Attribute Information Embedding and Cross-modal Contrastive Learning—0
Geometric Graph Representation with Learnable Graph Structure and Adaptive AU Constraint for Micro-Expression Recognition—0
Transferring Dual Stochastic Graph Convolutional Network for Facial Micro-expression Recognition—0
Short and Long Range Relation Based Spatio-Temporal Transformer for Micro-Expression Recognition—0
Seeking Salient Facial Regions for Cross-Database Micro-Expression RecognitionCode0
Micro-Expression Recognition Using Histogram of Image Gradient Orientation on Diagonal Planes—0
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