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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
Three-Stream Temporal-Shift Attention Network Based on Self-Knowledge Distillation for Micro-Expression RecognitionCode1
Adaptive Temporal Motion Guided Graph Convolution Network for Micro-expression Recognition—0
Micro-expression recognition based on depth map to point cloud—0
From Macro to Micro: Boosting micro-expression recognition via pre-training on macro-expression videos—0
Hierarchical Space-Time Attention for Micro-Expression RecognitionCode1
Meta-Auxiliary Learning for Micro-Expression Recognition—0
GPT as Psychologist? Preliminary Evaluations for GPT-4V on Visual Affective ComputingCode1
GPT-4V with Emotion: A Zero-shot Benchmark for Generalized Emotion RecognitionCode1
An Empirical Study of Super-resolution on Low-resolution Micro-expression Recognition—0
Learning to Rank Onset-Occurring-Offset Representations for Micro-Expression Recognition—0
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