Facial Action Unit Detection
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Benchmarks
Most implemented
Multitask Emotion Recognition with Incomplete Labels
GPT as Psychologist? Preliminary Evaluations for GPT-4V on Visual Affective Computing
Multi-scale Promoted Self-adjusting Correlation Learning for Facial Action Unit Detection
Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition
Pre-training strategies and datasets for facial representation learning
Linear Disentangled Representation Learning for Facial Actions
Papers
Spatiotemporal Facial Action Unit Detection using Twin Cycle Autoencoders for Driver Monitoring
Driver monitoring systems (DMS) increasingly rely on facial cues to infer drowsiness, distraction, and cognitive load in real time. Facial Action Units (AUs), grounded in the Facial Action Coding System (FACS), provide a…
Facial Action Unit DetectionUAU-Net: Uncertainty-aware Representation Learning and Evidential Classification for Facial Action Unit Detection
Facial action unit (AU) detection remains challenging because it involves heterogeneous, AU-specific uncertainties arising at both the representation and decision stages. Recent methods have improved discriminative featu…
Facial Action Unit DetectionRepresentation LearningThe Nonverbal Gap: Toward Affective Computer Vision for Safer and More Equitable Online Dating
Online dating has become the dominant way romantic relationships begin, yet current platforms strip the nonverbal cues: gaze, facial expression, body posture, response timing, that humans rely on to signal comfort, disin…
Facial Action Unit DetectionGaze EstimationHierarchical Vision-Language Interaction for Facial Action Unit Detection
Facial Action Unit (AU) detection seeks to recognize subtle facial muscle activations as defined by the Facial Action Coding System (FACS). A primary challenge w.r.t AU detection is the effective learning of discriminati…
Facial Action Unit DetectionRepresentation LearningFAMNet: Integrating 2D and 3D Features for Micro-expression Recognition via Multi-task Learning and Hierarchical Attention
Micro-expressions recognition (MER) has essential application value in many fields, but the short duration and low intensity of micro-expressions (MEs) bring considerable challenges to MER. The current MER methods in dee…
Micro-Expression RecognitionFacial Action Unit DetectionMulti-Task LearningFG 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