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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 11–20 of 74 papers

TitleStatusHype
MMNet: Muscle motion-guided network for micro-expression recognitionCode1
How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset?Code1
ICE-GAN: Identity-aware and Capsule-Enhanced GAN with Graph-based Reasoning for Micro-Expression Recognition and SynthesisCode1
Inference-Time Gaze Refinement for Micro-Expression Recognition: Enhancing Event-Based Eye Tracking with Motion-Aware Post-ProcessingCode0
FG 2025 TrustFAA: the First Workshop on Towards Trustworthy Facial Affect Analysis: Advancing Insights of Fairness, Explainability, and Safety (TrustFAA)—0
Temporal and Spatial Feature Fusion Framework for Dynamic Micro Expression Recognition—0
AMMSM: Adaptive Motion Magnification and Sparse Mamba for Micro-Expression Recognition—0
AHMSA-Net: Adaptive Hierarchical Multi-Scale Attention Network for Micro-Expression Recognition—0
Dynamic Stereotype Theory Induced Micro-expression Recognition with Oriented Deformation—0
Micro-Expression Recognition by Motion Feature Extraction based on Pre-training—0
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