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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 1–50 of 74 papers

TitleStatusHype
ICE-GAN: Identity-aware and Capsule-Enhanced GAN with Graph-based Reasoning for Micro-Expression Recognition and SynthesisCode1
GPT-4V with Emotion: A Zero-shot Benchmark for Generalized Emotion RecognitionCode1
Three-Stream Temporal-Shift Attention Network Based on Self-Knowledge Distillation for Micro-Expression RecognitionCode1
GPT as Psychologist? Preliminary Evaluations for GPT-4V on Visual Affective ComputingCode1
Hierarchical Space-Time Attention for Micro-Expression RecognitionCode1
HTNet for micro-expression recognitionCode1
Micron-BERT: BERT-based Facial Micro-Expression RecognitionCode1
MMNet: Muscle motion-guided network for micro-expression recognitionCode1
MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style ConvolutionCode1
Data Leakage and Evaluation Issues in Micro-Expression AnalysisCode1
How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset?Code1
MELLM: Exploring LLM-Powered Micro-Expression Understanding Enhanced by Subtle Motion PerceptionCode1
A Benchmark for Incremental Micro-expression RecognitionCode1
Inference-Time Gaze Refinement for Micro-Expression Recognition: Enhancing Event-Based Eye Tracking with Motion-Aware Post-ProcessingCode0
Seeking Salient Facial Regions for Cross-Database Micro-Expression RecognitionCode0
Shallow Triple Stream Three-dimensional CNN (STSTNet) for Micro-expression RecognitionCode0
Enriched Long-term Recurrent Convolutional Network for Facial Micro-Expression RecognitionCode0
Dual-stream shallow networks for facial micro-expression recognitionCode0
Micro-Attention for Micro-Expression recognitionCode0
A Novel Apex-Time Network for Cross-Dataset Micro-Expression RecognitionCode0
Spontaneous Facial Micro-Expression Recognition using 3D Spatiotemporal Convolutional Neural NetworksCode0
FG 2025 TrustFAA: the First Workshop on Towards Trustworthy Facial Affect Analysis: Advancing Insights of Fairness, Explainability, and Safety (TrustFAA)—0
From Macro to Micro: Boosting micro-expression recognition via pre-training on macro-expression videos—0
Geometric Graph Representation with Learnable Graph Structure and Adaptive AU Constraint for Micro-Expression Recognition—0
Learning a Target Sample Re-Generator for Cross-Database Micro-Expression Recognition—0
Learning to Rank Onset-Occurring-Offset Representations for Micro-Expression Recognition—0
Less is More: Micro-expression Recognition from Video using Apex Frame—0
Mean Oriented Riesz Features for Micro Expression Classification—0
MERANet: Facial Micro-Expression Recognition using 3D Residual Attention Network—0
MER-GCN: Micro Expression Recognition Based on Relation Modeling with Graph Convolutional Network—0
Meta-Auxiliary Learning for Micro-Expression Recognition—0
Micro-Expression Recognition Based on Attribute Information Embedding and Cross-modal Contrastive Learning—0
Micro-expression recognition based on depth map to point cloud—0
Micro-Expression Recognition by Motion Feature Extraction based on Pre-training—0
Micro-Expression Recognition Using Histogram of Image Gradient Orientation on Diagonal Planes—0
DFME: A New Benchmark for Dynamic Facial Micro-expression Recognition—0
Multi-scale multi-modal micro-expression recognition algorithm based on transformer—0
Non-Linearities Improve OrigiNet based on Active Imaging for Micro Expression Recognition—0
Objective Class-based Micro-Expression Recognition through Simultaneous Action Unit Detection and Feature Aggregation—0
Objective Classes for Micro-Facial Expression Recognition—0
OFF-ApexNet on Micro-expression Recognition System—0
Prior Information based Decomposition and Reconstruction Learning for Micro-Expression Recognition—0
Region attention and graph embedding network for occlusion objective class-based micro-expression recognition—0
Revealing the Invisible with Model and Data Shrinking for Composite-database Micro-expression Recognition—0
SelfME: Self-Supervised Motion Learning for Micro-Expression Recognition—0
Self-Supervised Approach for Facial Movement Based Optical Flow—0
Short and Long Range Relation Based Spatio-Temporal Transformer for Micro-Expression Recognition—0
SMA-STN: Segmented Movement-Attending Spatiotemporal Network forMicro-Expression Recognition—0
Sparse Coding of Shape Trajectories for Facial Expression and Action Recognition—0
Spatiotemporal Recurrent Convolutional Networks for Recognizing Spontaneous Micro-expressions—0
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