Papers Action Unit Detection
“Action Unit Detection” 태그가 달린 논문 113편 · 필터 해제
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+3Face-LLaVA: Facial Expression and Attribute Understanding through Instruction Tuning
The human face plays a central role in social communication, necessitating the use of performant computer vision tools for human-centered applications. We propose Face-LLaVA, a multimodal large language model for face-ce…
Action Unit DetectionAge EstimationAttributeDeepFake Detection+5AU-TTT: Vision Test-Time Training model for Facial Action Unit Detection
Facial Action Units (AUs) detection is a cornerstone of objective facial expression analysis and a critical focus in affective computing. Despite its importance, AU detection faces significant challenges, such as the hig…
Action Unit DetectionFacial Action Unit DetectionSelf-Supervised LearningDetecting Localized Deepfake Manipulations Using Action Unit-Guided Video Representations
With rapid advancements in generative modeling, deepfake techniques are increasingly narrowing the gap between real and synthetic videos, raising serious privacy and security concerns. Beyond traditional face swapping an…
Action Unit DetectionFace SwappingDecoupled Doubly Contrastive Learning for Cross Domain Facial Action Unit Detection
Despite the impressive performance of current vision-based facial action unit (AU) detection approaches, they are heavily susceptible to the variations across different domains and the cross-domain AU detection methods a…
Action Unit DetectionContrastive LearningFacial Action Unit DetectionImage GenerationFacial Action Unit Detection by Adaptively Constraining Self-Attention and Causally Deconfounding Sample
Facial action unit (AU) detection remains a challenging task, due to the subtlety, dynamics, and diversity of AUs. Recently, the prevailing techniques of self-attention and causal inference have been introduced to AU det…
Action Unit DetectionCausal InferenceFacial Action Unit DetectionBehaviour4All: in-the-wild Facial Behaviour Analysis Toolkit
In this paper, we introduce Behavior4All, a comprehensive, open-source toolkit for in-the-wild facial behavior analysis, integrating Face Localization, Valence-Arousal Estimation, Basic Expression Recognition and Action …
Action Unit DetectionArousal EstimationCPUFairness+1Rethinking Affect Analysis: A Protocol for Ensuring Fairness and Consistency
Evaluating affect analysis methods presents challenges due to inconsistencies in database partitioning and evaluation protocols, leading to unfair and biased results. Previous studies claim continuous performance improve…
Action Unit DetectionArousal EstimationFairnessAffective Behavior Analysis using Task-adaptive and AU-assisted Graph Network
In this paper, we present our solution and experiment result for the Multi-Task Learning Challenge of the 7th Affective Behavior Analysis in-the-wild(ABAW7) Competition. This challenge consists of three tasks: action uni…
Action Unit DetectionArousal EstimationFacial Expression RecognitionMulti-Task LearningMulti-Task Learning for Affect Analysis
This Project was my Undergraduate Final Year dissertation, supervised by Dimitrios Kollias This research delves into the realm of affective computing for image analysis, aiming to enhance the efficiency and effectiveness…
Action Unit DetectionArousal EstimationEmotion RecognitionMarketing+1Task-adaptive Q-Face
Although face analysis has achieved remarkable improvements in the past few years, designing a multi-task face analysis model is still challenging. Most face analysis tasks are studied as separate problems and do not ben…
Action Unit DetectionAge EstimationAttributePose EstimationAUD-TGN: Advancing Action Unit Detection with Temporal Convolution and GPT-2 in Wild Audiovisual Contexts
Leveraging the synergy of both audio data and visual data is essential for understanding human emotions and behaviors, especially in in-the-wild setting. Traditional methods for integrating such multimodal information of…
Action Unit DetectionFacial Action Unit DetectionLeveraging Synthetic Data for Generalizable and Fair Facial Action Unit Detection
Facial action unit (AU) detection is a fundamental block for objective facial expression analysis. Supervised learning approaches require a large amount of manual labeling which is costly. The limited labeled data are al…
Action Unit DetectionDomain AdaptationFacial Action Unit DetectionFairnessContrastive Learning of Person-independent Representations for Facial Action Unit Detection
Facial action unit (AU) detection, aiming to classify AU present in the facial image, has long suffered from insufficient AU annotations. In this paper, we aim to mitigate this data scarcity issue by learning AU represen…
Action Unit DetectionContrastive LearningFacial Action Unit DetectionRepresentation LearningThe 6th Affective Behavior Analysis in-the-wild (ABAW) Competition
This paper describes the 6th Affective Behavior Analysis in-the-wild (ABAW) Competition, which is part of the respective Workshop held in conjunction with IEEE CVPR 2024. The 6th ABAW Competition addresses contemporary c…
Action Unit DetectionArousal EstimationBenchmarking