FERA 2015 - second Facial Expression Recognition and Analysis challenge

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Recognizing facial actions using gabor wavelets with neutral face average difference

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Facial Expression Analysis under Partial Occlusion

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Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-Related Applications

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AVEC 2016

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Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis

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Cross-dataset learning and person-specific normalisation for automatic Action Unit detection

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Automatic Analysis of Facial Actions: A Survey

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Facial emotion recognition using deep learning: review and insights

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Sewa db: A rich database for audio-visual emotion and sentiment research in the wild

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Deep learning based FACS Action Unit occurrence and intensity estimation

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Untitled work

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Deep learning the dynamic appearance and shape of facial action units

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Spatio-temporal convolutional features with nested LSTM for facial expression recognition

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Action Unit Detection with Region Adaptation, Multi-labeling Learning and Optimal Temporal Fusing

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EAC-Net: Deep Nets with Enhancing and Cropping for Facial Action Unit Detection

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Advances, Challenges, and Opportunities in Automatic Facial Expression Recognition

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Deep Structured Learning for Facial Action Unit Intensity Estimation

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Facial Action Unit Detection Using Attention and Relation Learning

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EAC-Net: A Region-Based Deep Enhancing and Cropping Approach for Facial Action Unit Detection

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A comprehensive survey on automatic facial action unit analysis

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The NoXi database: multimodal recordings of mediated novice-expert interactions

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FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge

Valstar, M., Sánchez, E., Cohn, J. F., Jeni, L. A., Girard, J. M., Zhang, Z., Yin, L., & Pantić, M. (2017) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg.2017.107 · Cited by 122 · see citing works

Face Behavior a la carte: Expressions, Affect and Action Units in a Single NetworkPreprint

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Emotion recognition from facial expression using deep convolutional neural network

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Facial Action Unit Detection With Transformers

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Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face StudyPreprint

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AVEC 2016 - Depression, Mood, and Emotion Recognition Workshop and ChallengePreprint

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Deep convolutional BiLSTM fusion network for facial expression recognition

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Incremental Boosting Convolutional Neural Network for Facial Action Unit RecognitionPreprint

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AU R-CNN: Encoding expert prior knowledge into R-CNN for action unit detection

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A Review of Dynamic Datasets for Facial Expression Research

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Audio-visual emotion recognition using deep transfer learning and multiple temporal models

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Automatic Detection of ADHD and ASD from Expressive Behaviour in RGBD Data

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FATAUVA-Net: An Integrated Deep Learning Framework for Facial Attribute Recognition, Action Unit Detection, and Valence-Arousal Estimation

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Deeper cascaded peak-piloted network for weak expression recognition

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Analysis of Facial Information for Healthcare Applications: A Survey on Computer Vision-Based Approaches

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A Primer on Observational Measurement

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Optimizing Filter Size in Convolutional Neural Networks for Facial Action Unit Recognition

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Human Emotions Recognition, Analysis and Transformation by the Bioenergy Field in Smart Grid Using Image Processing

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Learning Facial Action Units from Web Images with Scalable Weakly Supervised Clustering

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Human Observers and Automated Assessment of Dynamic Emotional Facial Expressions: KDEF-dyn Database Validation

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Weakly-Supervised Deep Convolutional Neural Network Learning for Facial Action Unit Intensity Estimation

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Self-Supervised Learning of Person-Specific Facial Dynamics for Automatic Personality Recognition

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Audio and face video emotion recognition in the wild using deep neural networks and small datasets

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Facial Expression Recognition Based on Improved LeNet-5 CNN

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Discriminant multi-label manifold embedding for facial Action Unit detection

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Facial Action Unit intensity prediction via Hard Multi-Task Metric Learning for Kernel Regression

Nicolle, J., Bailly, K., & Chétouani, M. (2015) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg.2015.7284868 · Cited by 49 · see citing works

BAUM-2: a multilingual audio-visual affective face database

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Gender Estimation Based on Smile-Dynamics

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Bilateral Ordinal Relevance Multi-instance Regression for Facial Action Unit Intensity Estimation

Zhang, Y., Zhao, R. Q., Dong, W., Hu, B.-G., & Ji, Q. (2018) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2018.00735 · Cited by 49 · see citing works

DeepCoder: Semi-Parametric Variational Autoencoders for Automatic Facial Action Coding

Tran, D. L., Walecki, R., Rudovic, O. O., Eleftheriadis, S., Schuller, B. W., & Pantić, M. (2017) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.346 · Cited by 48 · see citing works

Combining feature-level and decision-level fusion in a hierarchical classifier for emotion recognition in the wild

Sun, B., Li, L., Wu, X., Zuo, T., Chen, Y., Zhou, G., He, J. Y. D., & Zhu, X. (2015) · Journal on Multimodal User Interfaces · doi:10.1007/s12193-015-0203-6 · Cited by 46 · see citing works

Multi View Facial Action Unit Detection Based on CNN and BLSTM-RNN

He, J. Y. D., Li, D., Yang, B., Cao, S., Sun, B. C., & Yu, L. (2017) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg.2017.108 · Cited by 45 · see citing works

Facial Affect “In-the-Wild”: A Survey and a New Database

Zafeiriou, S. P., Papaioannou, A., Kotsia, I., Nicolaou, M. A., & Zhao, G. (2016) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2016.186 · Cited by 44 · see citing works

Affective Processes: stochastic modelling of temporal context for emotion and facial expression recognition

Sánchez, E., Tellamekala, M. K., Valstar, M., & Tzimiropoulos, G. (2021) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr46437.2021.00896 · Cited by 43 · see citing works

A novel hybrid deep learning IChOA-CNN-LSTM model for modality-enriched and multilingual emotion recognition in social media

Geethanjali, R., & Valarmathi, A. (2024) · Scientific Reports · doi:10.1038/s41598-024-73452-2 · Cited by 41 · see citing works

Pose-Independent Facial Action Unit Intensity Regression Based on Multi-Task Deep Transfer Learning

Zhou, Y., Pi, J., & Shi, B. E. (2017) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg.2017.112 · Cited by 41 · see citing works

A novel spontaneous facial expression recognition using dynamically weighted majority voting based ensemble classifier

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Context-Aware Feature and Label Fusion for Facial Action Unit Intensity Estimation With Partially Labeled Data

Zhang, Y., Jiang, H., Wu, B., Fan, Y., & Ji, Q. (2019) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00082 · Cited by 40 · see citing works

Expression-assisted facial action unit recognition under incomplete AU annotation

Wang, S., Gan, Q., & Ji, Q. (2016) · Pattern Recognition · doi:10.1016/j.patcog.2016.07.028 · Cited by 39 · see citing works

A Novel Approach to Cross dataset studies in Facial Expression Recognition

Ramis, S., Rubio, J. M. B., Perales, F. J., & Manresa-Yee, C. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-022-13117-2 · Cited by 40 · see citing works

Exemplar-based facial expression recognition

Farajzadeh, N., & Hashemzadeh, M. (2018) · Information Sciences · doi:10.1016/j.ins.2018.05.057 · Cited by 38 · see citing works

Pre-training Strategies and Datasets for Facial Representation Learning

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Reliability and validity of machine vision for the assessment of facial expressions

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Compound Facial Expression Recognition Based on Highway CNN

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A Transfer Learning Approach to Heatmap Regression for Action Unit Intensity Estimation

Ντίνου, Ι., Sánchez, E., Bulat, A., Valstar, M., & Tzimiropoulos, G. (2021) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2021.3061605 · Cited by 36 · see citing works

Multi-Dimensional Classification via Decomposed Label Encoding

Jia, B.-B., & Zhang, M.-L. (2021) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2021.3100436 · Cited by 36 · see citing works

Facial Action Units intensity estimation by the fusion of features with multi-kernel Support Vector Machine

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Graph-Based Facial Affect Analysis: A Review

Liu, Y. M., Zhang, X., Li, Y., Zhou, J., Li, X., & Zhao, G. (2022) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2022.3215918 · Cited by 40 · see citing works

Computational Analysis and Simulation of Empathic Behaviors: a Survey of Empathy Modeling with Behavioral Signal Processing Framework

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View-Independent Facial Action Unit Detection

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Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation

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Understanding Naturalistic Facial Expressions with Deep Learning and Multimodal Large Language Models

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A Multimodal Emotion Recognition System Using Facial Landmark Analysis

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Automatic Detection of a Driver’s Complex Mental States

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Towards a Prediction and Data Driven Computational Process Model of Emotion

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Deep Learning Based Affective Model for Speech Emotion Recognition

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LGSNet: A Two-Stream Network for Micro- and Macro-Expression Spotting With Background Modeling

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Conditional adversarial synthesis of 3D facial action units

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Facial landmark localization: Past, present and future

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Deep Learning for Facial Action Unit Detection Under Large Head Poses

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FEAFA: A Well-Annotated Dataset for Facial Expression Analysis and 3D Facial Animation

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Facial Expression Recognition Based on Fusion Features of Center-Symmetric Local Signal Magnitude Pattern

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ML-DCNNet: Multi-level Deep Convolutional Neural Network for Facial Expression Recognition and Intensity Estimation

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Iterative Distillation for Better Uncertainty Estimates in Multitask Emotion Recognition

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Image Augmentation for Classifying Facial Expression Images by Using Deep Neural Network Pre-trained with Object Image Database

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PIAP-DF: Pixel-Interested and Anti Person-Specific Facial Action Unit Detection Net with Discrete Feedback Learning

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Comparison of selected off-the-shelf solutions for emotion recognition based on facial expressions

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Faces of Focus: A Study on the Facial Cues of Attentional States

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Facial Action Unit Recognition and Intensity Estimation Enhanced Through Label Dependencies

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Toward Robust Facial Action Units’ Detection

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Action Units and Their Cross-Correlations for Prediction of Cognitive Load during Driving

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Predicting the distribution of emotion perception: capturing inter-rater variability

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Improved TOPSIS method for peak frame selection in audio-video human emotion recognition

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A Survey of the Trends in Facial and Expression Recognition Databases and Methods

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Female, white, 27? Bias Evaluation on Data and Algorithms for Affect Recognition in Faces

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Detecting Autism by Analyzing a Simulated Social Interaction

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On line emotion detection using retrainable deep neural networks

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FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge

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FERA 2014 chairs' welcome

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The first facial expression recognition and analysis challenge

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in the Facial Expression Recognition and Analysis (FERA2015)

Gao, H. (2016)

Pose-Independent Facial Action Unit Intensity Regression Based on Multi-Task Deep Transfer Learning

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