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Micro-Expression Recognition
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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.
논문
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Inference-Time Gaze Refinement for Micro-Expression Recognition: Enhancing Event-Based Eye Tracking with Motion-Aware Post-Processing
FG 2025 TrustFAA: the First Workshop on Towards Trustworthy Facial Affect Analysis: Advancing Insights of Fairness, Explainability, and Safety (TrustFAA)
Temporal and Spatial Feature Fusion Framework for Dynamic Micro Expression Recognition
MELLM: Exploring LLM-Powered Micro-Expression Understanding Enhanced by Subtle Motion Perception
AMMSM: Adaptive Motion Magnification and Sparse Mamba for Micro-Expression Recognition
A Benchmark for Incremental Micro-expression Recognition
AHMSA-Net: Adaptive Hierarchical Multi-Scale Attention Network for Micro-Expression Recognition
Micro-Expression Recognition by Motion Feature Extraction based on Pre-training
Three-Stream Temporal-Shift Attention Network Based on Self-Knowledge Distillation for Micro-Expression Recognition
Adaptive Temporal Motion Guided Graph Convolution Network for Micro-expression Recognition
Micro-expression recognition based on depth map to point cloud
From Macro to Micro: Boosting micro-expression recognition via pre-training on macro-expression videos
Hierarchical Space-Time Attention for Micro-Expression Recognition
Meta-Auxiliary Learning for Micro-Expression Recognition
GPT as Psychologist? Preliminary Evaluations for GPT-4V on Visual Affective Computing
GPT-4V with Emotion: A Zero-shot Benchmark for Generalized Emotion Recognition
An Empirical Study of Super-resolution on Low-resolution Micro-expression Recognition
Learning to Rank Onset-Occurring-Offset Representations for Micro-Expression Recognition
Catching Elusive Depression via Facial Micro-Expression Recognition
HTNet for micro-expression recognition
Feature Representation Learning with Adaptive Displacement Generation and Transformer Fusion for Micro-Expression Recognition
Micron-BERT: BERT-based Facial Micro-Expression Recognition
Efficient Neural Architecture Search for Emotion Recognition
Prior Information based Decomposition and Reconstruction Learning for Micro-Expression Recognition
Multi-scale multi-modal micro-expression recognition algorithm based on transformer
DFME: A New Benchmark for Dynamic Facial Micro-expression Recognition
Data Leakage and Evaluation Issues in Micro-Expression Analysis
Deep Insights of Learning based Micro Expression Recognition: A Perspective on Promises, Challenges and Research Needs
Micro-Expression Recognition Based on Attribute Information Embedding and Cross-modal Contrastive Learning
Geometric Graph Representation with Learnable Graph Structure and Adaptive AU Constraint for Micro-Expression Recognition
Transferring Dual Stochastic Graph Convolutional Network for Facial Micro-expression Recognition
MMNet: Muscle motion-guided network for micro-expression recognition
Short and Long Range Relation Based Spatio-Temporal Transformer for Micro-Expression Recognition
How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset?
Seeking Salient Facial Regions for Cross-Database Micro-Expression Recognition
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