Action Unit Detection
1개 벤치마크 · 논문 113편 · 이 태스크의 논문 보기 →
Benchmarks
BP4D
Most implemented
Multitask Emotion Recognition with Incomplete Labels
Multi-scale Promoted Self-adjusting Correlation Learning for Facial Action Unit Detection
Video-Based Frame-Level Facial Analysis of Affective Behavior on Mobile Devices Using EfficientNets
A Compact Embedding for Facial Expression Similarity
Deep Region and Multi-Label Learning for Facial Action Unit Detection
Papers
Causal Supervision of Attention for Affective Behaviour Analysis
The \textit{11th Affective Behaviour Analysis in-the-wild Competition} includes the Multi-Task Learning Challenge, where participants develop a unified framework for Valence-Arousal Estimation, Expression Recognition, an…
Action Unit DetectionMulti-Task LearningMicro-AU CLIP: Fine-Grained Contrastive Learning from Local Independence to Global Dependency for Micro-Expression Action Unit Detection
Micro-expression (ME) action units (Micro-AUs) provide objective clues for fine-grained genuine emotion analysis. Most existing Micro-AU detection methods learn AU features from the whole facial image/video, which confli…
Action Unit DetectionContrastive LearningHSEmotion Team at ABAW-10 Competition: Facial Expression Recognition, Valence-Arousal Estimation, Action Unit Detection and Fine-Grained Violence Classification
This article presents our results for the 10th Affective Behavior Analysis in-the-Wild (ABAW) competition. For frame-wise facial emotion understanding tasks (frame-wise facial expression recognition, valence-arousal esti…
Facial Expression RecognitionAction Unit DetectionVideo ClassificationEmotion RecognitionAULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection
Micro-expression Action Unit (AU) detection identifies localized AUs from subtle facial muscle activations, providing a foundation for decoding affective cues. Previous methods face three key limitations: (1) heavy relia…
Domain GeneralizationAction Unit DetectionGraph Neural NetworkAU-LLM: Micro-Expression Action Unit Detection via Enhanced LLM-Based Feature Fusion
The detection of micro-expression Action Units (AUs) is a formidable challenge in affective computing, pivotal for decoding subtle, involuntary human emotions. While Large Language Models (LLMs) demonstrate profound reas…
Action Unit DetectionFG 2025 TrustFAA: the First Workshop on Towards Trustworthy Facial Affect Analysis: Advancing Insights of Fairness, Explainability, and Safety (TrustFAA)
With the increasing prevalence and deployment of Emotion AI-powered facial affect analysis (FAA) tools, concerns about the trustworthiness of these systems have become more prominent. This first workshop on "Towards Trus…
Action Unit DetectionDepression DetectionEthicsFacial Action Unit Detection+3