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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 1–10 of 74 papers

TitleStatusHype
MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style ConvolutionCode1
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
MELLM: Exploring LLM-Powered Micro-Expression Understanding Enhanced by Subtle Motion PerceptionCode1
AMMSM: Adaptive Motion Magnification and Sparse Mamba for Micro-Expression Recognition—0
A Benchmark for Incremental Micro-expression RecognitionCode1
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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