AWESOME-FER

📝 🔆 Top conferences & Journals focused on Facial expression recognition (FER)/ Facial action unit (FAU)

🔆 Datasets

🔆 Challenges

🔆 Related Reviews

🔆 Related Conferences and Journals

🔆 Facial Expression Recognition (FER)

🔆 Facial Action Unit Recognition

🔆 Affective Level Estimation

Datasets

Challenges

Related Reviews

(IEEE Transactions on Affective Computing 20) Deep Facial Expression Recognition: A Survey [paper]
(ACM Computing Surveys 19) Facial Expression Analysis under Partial Occlusion: A Survey [paper]
(IEEE Transactions on Affective Computing 19) Deep Learning for Human Affect Recognition: Insights and New Developments [paper]
(IEEE Transactions on Affective Computing 18) Survey on Emotional Body Gesture Recognition [paper]
(IEEE Transactions on Affective Computing 17) Automatic Analysis of Facial Actions: A Survey [paper]
(IEEE Transactions on Pattern Analysis and Machine Intelligence 16) Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-Related Applications[paper]
(IEEE Transactions on Pattern Analysis and Machine Intelligence 15) Automatic Analysis of Facial Affect: A Survey of Registration, Representation, and Recognition [paper]
(Image and Vision Computing 13) Categorical and dimensional affect analysis in continuous input: Current trends and future directions [paper]
(FG 11) Emotion representation, analysis and synthesis in continuous space: A survey [paper]

Related Conferences and Journals

🔸 Conferences

CVPR,ICCV,ECCV,FG,ACM MM,AAAI,IJCAI,BMVC,ACCV,WACV,ICMI,ICPR,ICIP,ACII,ICB,BIBM,ICASSP

🔸 Journals

🔸 Workshops

IJCAI Affective Computing Workshop (AffComp) [2019],[2018],[2017]
AAAI Workshop on Affective Content Analysis (AffCon) [2020],[2019],[2018]
CVPR Workshop on Deep Affective Learning and Context Modelling (DAL-COM) [2017]

Facial Expression Recognition

🔸 IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)

(2021) Affective Processes: Stochastic Modelling of Temporal Context for Emotion and Facial Expression Recognition [paper]
(2021) Dive Into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition [paper]
(2021) Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition [paper]
(2020) Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition [paper]
(2020) Suppressing Uncertainties for Large-Scale Facial Expression Recognition [paper]
(2020) EmotiCon: Context-Aware Multimodal Emotion Recognition using Frege’s Principle [paper]
(2020) Cascade EF-GAN: Progressive Facial Expression Editing with Local Focuses [paper]
(2019) A Compact Embedding for Facial Expression Similarity [paper]
(2019) Facial Emotion Distribution Learning by Exploiting Low-Rank Label Correlations Locally [paper]
(2019) Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision [paper]][code]
(2018) Facial Expression Recognition by De-expression Residue Learning [paper][:dizzy::dizzy::dizzy:]
(2018) Joint Pose and Expression Modeling for Facial Expression Recognition [paper],[code][:dizzy::dizzy:]
(2018) 4DFAB: A Large Scale 4D Database for Facial Expression Analysis and Biometric Applications [paper]][:dizzy:]
(2017) Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild [paper][:dizzy:]
(2017) Emotion Recognition in Context [paper][:dizzy:]
(2016) LOMo: Latent Ordinal Model for Facial Analysis in Videos [paper][:dizzy:]
(2016) Facial Expression Intensity Estimation Using Ordinal Information [paper],[Supplementary][:dizzy::dizzy:]
(2016) EmotioNet: An accurate, real-time algorithm for the automatic annotation of a million facial expressions in the wild [paper],[Supplementary][:dizzy:]
(2016) Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis [paper][:dizzy:]
(2014) Learning Expressionlets on Spatio-Temporal Manifold for Dynamic Facial Expression Recognition [paper][:dizzy::dizzy:]
(2014) Facial Expression Recognition via a Boosted Deep Belief Network [paper][:dizzy:]
(2013) Capturing Complex Spatio-Temporal Relations among Facial Muscles for Facial Expression Recognition [paper][:dizzy:]

🔸 International Conference on Computer Vision (ICCV)

(2021) Understanding and Mitigating Annotation Bias in Facial Expression Recognition [paper]
(2021) TransFER: Learning Relation-Aware Facial Expression Representations With Transformers [paper]
(2019) Context-Aware Emotion Recognition Networks [paper]
(2019) Attention-Aware Polarity Sensitive Embedding for Affective Image Retrieval [paper]
(2019) Zero-Shot Emotion Recognition via Affective Structural Embedding [paper]
(2017) A Novel Space-Time Representation on the Positive Semidefinite Cone for Facial Expression Recognition [paper][:dizzy:]
(2015) Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition [paper][:dizzy::dizzy::dizzy:]
(2015) Pairwise Conditional Random Forests for Facial Expression Recognition [paper][:dizzy:]

🔸 European Conference on Computer Vision (ECCV)

(2018) Facial Expression Recognition with Inconsistently Annotated Datasets [paper]
(2018) Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias [paper]
(2018) Deep Multi-Task Learning to Recognise Subtle Facial Expressions of Mental States [paper]
(2016) Peak-Piloted Deep Network for Facial Expression Recognition [paper][:dizzy::dizzy::dizzy:]

🔸 Association for the Advance of Artificial Intelligence (AAAI)

(2020) Efficient facial feature learning with wide ensemble-based convolutional neural networks [paper]
(2020) MIMAMO Net: Integrating Micro- and Macro-motion for Video Emotion Recognition [paper]
(2020) M3ER: Multiplicative Multimodal Emotion Recognition Using Facial, Textual, and Speech Cues [paper]
(2020) An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated Videos [paper]
(2019) Mode Variational LSTM Robust to Unseen Modes of Variation: Application to Facial Expression Recognition [paper]
(2019) Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation [paper]
(2019) CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions [paper]
(2018) ExprGAN: Facial Expression Editing with Controllable Expression Intensity [paper],[code][:dizzy:]
(2018) Learning Spatio-temporal Features with Partial Expression Sequences for on-the-Fly Prediction [paper]][:dizzy:]

🔸 ACM International Conference on Multimedia (ACM MM)

(2020) IExpressNet: Facial Expression Recognition with Incremental Classes [paper]
(2020) Occluded Facial Expression Recognition with Step-Wise Assistance from Unpaired Non-Occluded Images [paper]
(2020) Uncertainty-aware Cross-dataset Facial Expression Recognition via Regularized Conditional Alignment [paper]
(2020) R-FENet: A Region-based Facial Expression Recognition Method Inspired by Semantic Information of Action Units [paper]
(2020) A Novel Graph-TCN with a Graph Structured Representation for Micro-expression Recognition [paper]
(2020) DFEW: A Large-Scale Database for Recognizing Dynamic Facial Expressions in the Wild [paper]
(2020) Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition [paper],[code]
(2019) Occluded Facial Expression Recognition Enhanced through Privileged Information [paper]
(2019) Identity- and Pose-Robust Facial Expression Recognition through Adversarial Feature Learning [paper]
(2019) Comp-GAN: Compositional Generative Adversarial Network in Synthesizing and Recognizing Facial Expression [paper]
(2019) PDANet: Polarity-consistent Deep Attention Network for Fine-grained Visual Emotion Regression [paper]
(2018) Fast and Light Manifold CNN based 3D Facial Expression Recognition across Pose Variations [paper]
(2018) Facial Expression Recognition in the Wild: A Cycle-Consistent Adversarial Attention Transfer Approach [paper]
(2018) Facial Expression Recognition Enhanced by Thermal Images through Adversarial Learning [paper]
(2018) Geometry Guided Adversarial Facial Expression Synthesis [paper]
(2018) Conditional Expression Synthesis with Face Parsing Transformation [paper]
(2017) Learning a Target Sample Re-Generator for Cross-Database Micro-Expression Recognition [paper]

🔸 International Joint Conference on Artificial Intelligence (IJCAI)

(2020) Weakly Supervised Local-Global Relation Network for Facial Expression Recognition [paper]
(2018) Personality-Aware Personalized Emotion Recognition from Physiological Signals [paper]
(2017) Approximating Discrete Probability Distribution of Image Emotions by Multi-Modal Features Fusion [paper]
(2017) Dependency Exploitation: A Unified CNN-RNN Approach for Visual Emotion Recognition [paper]
(2017) Joint Image Emotion Classification and Distribution Learning via Deep Convolutional Neural Network [paper]
(2016) Multi-View Exclusive Unsupervised Dimension Reduction for Video-Based Facial Expression Recognition [paper]

🔸 International Conference on Machine Learning (ICML)

（2019）A Personalized Affective Memory Model for Improving Emotion Recognition [paper]

🔸 British Machine Vision Conference (BMVC)

(2019) Annealed Label Transfer for Face Expression Recognition [paper]
(2019) Automatic 4D Facial Expression Recognition via Collaborative Cross-domain Dynamic Image Network [paper]
(2019) An Unsupervised Subspace Ranking Method for Continuous Emotions in Face Images [paper]
(2018) Feature Selection Mechanism in CNNs for Facial Expression Recognition [paper]

🔸 IEEE Winter Conference on Applications of Computer Vision (WACV)

(2019) Graph Neural Networks for Image Understanding Based on Multiple Cues: Group Emotion Recognition and Event Recognition as Use Cases [paper]
(2018) Group Affect Prediction Using Multimodal Distributions [paper]
(2016) Going Deeper in Facial Expression Recognition using Deep Neural Networks [paper][:dizzy:]

🔸 ACM International Conference on Multimodal Interaction (ICMI)

(2018) Multi-Feature Based Emotion Recognition for Video Clips [paper]
(2018) Video-based Emotion Recognition Using Deeply-Supervised Neural Networks [paper]
(2018) Multiple Spatio-temporal Feature Learning for Video-based Emotion Recognition in the Wild [paper]
(2018) An Occam’s Razor View on Learning Audiovisual Emotion Recognition with Small Training Sets [paper]
(2018) Group-Level Emotion Recognition Using Hybrid Deep Models Based on Faces, Scenes, Skeletons and Visual Attentions [paper]
(2018) Cascade Attention Networks For Group Emotion Recognition with Face, Body and Image Cues [paper]
(2018) Group-Level Emotion Recognition using Deep Models with A Four-stream Hybrid Network [paper]
(2018) An Attention Model for group-level emotion recognition[paper]
(2017) Learning supervised scoring ensemble for emotion recognition in the wild [paper]
(2017) Convolutional neural networks pretrained on large face recognition datasets for emotion classification from video [paper]
(2017) Temporal Multimodal Fusion for Video Emotion Classification in the Wild [paper]
(2017) Emotion recognition with multimodal features and temporal models [paper]
(2017) Audio-visual emotion recognition using deep transfer learning and multiple temporal models [paper]
(2017) Cross-Modality Interaction between EEG Signals and Facial Expression [paper][:dizzy:]

🔸 IEEE International Conference on Automatic Face & Gesture Recognition (FG)

(2020) The FaceChannel: A Light-weight Deep Neural Network for Facial Expression Recognition [paper]
(2020) CLIFER: Continual Learning with Imagination for Facial Expression Recognition [paper]
(2020) Real-time Facial Expression Recognition “In The Wild” by Disentangling 3D Expression from Identity [paper]
(2019) Discriminative Attention-based Convolutional Neural Network for 3D Facial Expression Recognition [paper]
(2019) GF-CapsNet: Using Gabor Jet and Capsule Networks for Facial Age, Gender, and Expression Recognition [paper]
(2019) G2-VER: Geometry Guided Model Ensemble for Video-based Facial Expression Recognition [paper]
(2019) A Graph-Structured Representation with BRNN for Static-based Facial Expression Recognition [paper]
(2019) AFAR: A Deep Learning Based Tool for Automated Facial Affect Recognition [paper]
(2019) Face and Emotion Recognition with Neural Networks on Mobile Devices: Practical Implementation on Different Platforms [paper]
(2019) Hierarchical Group-level Emotion Recognition in the Wild [paper]
(2019) Bounded Residual Gradient Networks (BReG-Net) for Facial Affect Computing [paper]
(2019) Generalizing to unseen head poses in facial expression recognition and action unit intensity estimation [paper]
(2018) Facial Expression Grounded Conversational Dialogue Generation[paper]
(2018) Island Loss for Learning Discriminative Features in Facial Expression Recognition [paper]
(2018) Multi-Channel Pose-Aware Convolution Neural Networks for Multi-View Facial Expression Recognition [paper][:dizzy::dizzy::dizzy:]
(2018) Automatic 4D Facial Expression Recognition using Dynamic Geometrical Image Network [paper][:dizzy:]
(2018) ExpNet: Landmark-Free, Deep, 3D Facial Expressions [paper][code][:dizzy:]
(2018) Perceptual Facial Expression Representation [paper][:dizzy:]
(2018) Emotion-Preserving Representation Learning via Generative Adversarial Network for Multi-view Facial Expression Recognition [paper][:dizzy::dizzy:]
(2018) Spotting the Details: The Various Facets of Facial Expressions [paper][:dizzy:]
(2018) Identity-Adaptive Facial Expression Recognition Through Expression Regeneration Using Conditional Generative Adversarial Networks [paper][:dizzy::dizzy::dizzy:]
(2018) Hand-crafted Feature Guided Deep Learning for Facial Expression Recognition [paper][:dizzy::dizzy:]
(2018) Accurate Facial Parts Localization and Deep Learning for 3D Facial Expression Recognition [paper][:dizzy:]
(2018) Changes in Facial Expression as Biometric: A Database and Benchmarks of Identification [paper][:dizzy:]
(2018) LTP-ML : Micro-Expression Detection by Recognition of Local temporal Pattern of Facial Movements [paper][:dizzy:]
(2018) From Macro to Micro Expression Recognition: Deep Learning on Small Datasets Using Transfer Learning [paper][:dizzy:]
(2018) Unsupervised Domain Adaptation with Regularized Optimal Transport for Multimodal 2D+3D Facial Expression Recognition [paper][:dizzy::dizzy:]
(2017) Accurate Facial Parts Localization and Deep Learning for 3D Facial Expression Recognition [paper][:dizzy:]
(2017) FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition [paper][:dizzy::dizzy:]
(2017) Deep generative-contrastive networks for facial expression recognition [paper][:dizzy::dizzy::dizzy:]
(2017) Identity-Aware Convolutional Neural Network for Facial Expression Recognition [paper][:dizzy::dizzy::dizzy:]
(2017) (workshop) Spatio-Temporal Facial Expression Recognition Using Convolutional Neural Networks and Conditional Random Fields [paper][:dizzy:]
(2017) Head Pose and Expression Transfer using Facial Status Score [paper][:dizzy:]
(2017) Sayette Group Formation Task (GFT) Spontaneous Facial Expression Database [paper][:dizzy::dizzy:]
(2017) Curriculum Learning for Facial Expression Recognition [paper][:dizzy:]
(2017) Implicit Media Tagging and Affect Prediction from RGB-D video of spontaneous facial expressions [paper][:dizzy::dizzy:]
(2015) Pairwise Linear Regression: An Efficient and Fast Multi-view Facial Expression Recognition [paper][:dizzy:]

🔸 IEEE International Conference on Image Processing (ICIP)

(2019) Frame attention networks for facial expression recognition in videos [paper]
(2019) Outlier-Suppressed Triplet Loss with Adaptive Class-Aware Margins for Facial Expression Recognition [paper]
(2019) Facial Expression Recognition Using Adaptive Robust Local Complete Pattern [paper]
(2019) Dual-stream Shallow Networks for Facial Micro-expression Recognition [paper]
(2019) Disentangled Feature Based Adversarial Learning for Facial Expression Recognition [paper]
(2019) Edge-Computing Convolutional Neural Network with Homography-Augmented Data for Facial Emotion Recognition [paper]

🔸 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

(2019) Facial Micro-Expression Spotting and Recognition using Time Contrasted Feature with Visual Memory [paper]

🔸 IEEE International Conference on Multimedia and Expo (ICME)

(2019) Context-Aware Affective Graph Reasoning for Emotion Recognition [paper]
(2019) Pooling Map Adaptation in Convolutional Neural Network for Facial Expression Recognition [paper]

🔸 IEEE Transactions on Affective Computing

(2020) STCAM: Spatial-Temporal and Channel Attention Module for Dynamic Facial Expression Recognition [paper]
(2020) Phase Space Reconstruction Driven Spatio-Temporal Feature Learning for Dynamic Facial Expression Recognition [paper]
(2020) Facial Expression Recognition with Deeply-Supervised Attention Network [paper]
(2019) On-the-Fly Facial Expression Prediction using LSTM Encoded Appearance-Suppressed Dynamics [paper]
(2019) Dynamic Pose-Robust Facial Expression Recognition by Multi-View Pairwise Conditional Random Forests [paper]
(2019) Multi-Velocity Neural Networks for Facial Expression Recognition in Videos [paper]
(2018) Heterogeneous Knowledge Transfer in Video Emotion Recognition, Attribution and Summarization [paper][:dizzy::dizzy::dizzy:]
(2018) Emotion Recognition in Simulated Social Interactions [paper]
(2018) Co-clustering to reveal salient facial features for expression recognition[paper]
(2018) Facial Expression Recognition with Identity and Emotion Joint Learning [paper]
(2018) Unsupervised adaptation of a person-specific manifold of facial expressions [paper][:dizzy::dizzy::dizzy:]
(2018) Multi-velocity neural networks for facial expression recognition in videos [paper][:dizzy::dizzy::dizzy:]
(2018) Multi-Objective based Spatio-Temporal Feature Representation Learning Robust to Expression Intensity Variations for Facial Expression Recognition [paper]
(2018) Visually Interpretable Representation Learning for Depression Recognition from Facial Images [paper][:dizzy::dizzy::dizzy::dizzy:]
(2018) Facial Expression Recognition in Video with Multiple Feature Fusion [paper][:dizzy::dizzy:]
(2018) The Indian Spontaneous Expression Database for Emotion Recognition[paper]
(2018) Cross-Domain Color Facial Expression Recognition Using Transductive Transfer Subspace Learning [paper][:dizzy:]

🔸 IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

(2019) Sparse Coding of Shape Trajectories for Facial Expression and Action Recognition [paper]
(2017) Selective Transfer Machine for Personalized Facial Expression Analysis [paper]

🔸 International Journal of Computer Vision (IJCV)

(2020) Deep Neural Network Augmentation: Generating Faces for Affect Analysis [paper]
(2019) Deep affect prediction in-the-wild: Aff-wild database and challenge, deep architectures, and beyond [paper]
(2019) Blended Emotion in-the-Wild: Multi-label Facial Expression Recognition Using Crowdsourced Annotations and Deep Locality Feature Learning [paper]

🔸 IEEE Transactions on Image Processing (TIP)

(2020) Facial Expression Recognition in Videos using Dynamic Kernels [paper]
(2020) Multi-modal Recurrent Attention Networks for Facial Expression Recognition [paper]
(2020) A Unified Deep Model for Joint Facial Expression Recognition, Face Synthesis, and Face Alignment [paper]
(2020) Geometry Guided Pose-Invariant Facial Expression Recognition [paper]
(2018) Occlusion aware facial expression recognition using CNN with attention mechanism [paper]
(2018) Domain Regeneration for Cross-Database Micro-Expression Recognition [paper][:dizzy:]
(2017) Facial Expression Recognition Based on Deep Evolutional Spatial-Temporal Networks [paper]
(2013) Simultaneous Facial Feature Tracking and Facial Expression Recognition [paper]
(2005) Active and Dynamic Information Fusion for Facial Expression Understanding from Image Sequences [paper]

🔸 Pattern Recognition (PR)

(2019) Deep multi-path convolutional neural network joint with salient region attention for facial expression recognition [paper][:dizzy::dizzy::dizzy::dizzy:]
(2018) Conditional convolution neural network enhanced random forest for facial expression recognition [paper]
(2018) Collaborative discriminative multi-metric learning for facial expression recognition in video [paper]
(2015) Multimodal learning for facial expression recognition [paper]
(2014) Facial expression recognition in dynamic sequences: An integrated approach [paper]

🔸 Neurocomputing

(2019) Semi-supervised facial expression recognition using reduced spatial features and Deep Belief Networks [paper]
(2019) Three Convolutional Neural Network Models for Facial Expression Recognition in the Wild [paper]
(2019) Cross-domain facial expression recognition via an intra-category common feature and inter-category Distinction feature fusion network [paper]
(2018) Facial expression intensity estimation using Siamese and triplet networks [paper]
(2018) A visual attention based ROI detection method for facial expression recognition [paper]
(2018) Spatio-temporal convolutional features with nested LSTM for facial expression recognition [paper][:dizzy::dizzy::dizzy::dizzy:]
(2017) Emotion-modulated attention improves expression recognition: A deep learning model [paper]
(2017) An efficient unconstrained facial expression recognition algorithm based on Stack Binarized Auto-encoders and Binarized Neural Networks [paper]
(2016) Transfer subspace learning for cross-dataset facial expression recognition [paper][:dizzy:]
(2016) A new descriptor of gradients Self-Similarity for smile detection in unconstrained scenarios [paper]

🔸 IEEE Transactions on Multimedia

(2020) Orthogonalization-Guided Feature Fusion Network for Multimodal 2D+3D Facial Expression Recognition [paper]
(2019) Joint Deep Learning of Facial Expression Synthesis and Recognition [paper]
(2019) Facial Expression Recognition Using Hierarchical Features With Deep Comprehensive Multipatches Aggregation Convolutional Neural Networks [paper]
(2018) MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis [paper]
(2018) Multimodal Framework for Analyzing the Affect of a Group of People [paper]
(2016) A Deep Neural Network-Driven Feature Learning Method for Multi-view Facial Expression Recognition [paper][:dizzy:]

🔸 IEEE Transactions on Circuits and Systems for Video Technology

(2020) Facial Expression Recognition with Two-branch Disentangled Generative Adversarial Network [paper]
(2018) Learning Affective Features With a Hybrid Deep Model for Audio–Visual Emotion Recognition [paper]
(2018) Mixture Statistic Metric Learning for Robust Human Action and Expression Recognition [paper]

🔸 IEEE Transactions on Cognitive and Developmental Systems

(2019) Facial Expression Recognition via Deep Action Units Graph Network Based on Psychological Mechanism [paper]

🔸 IEEE Transactions on Cybernetics

(2019) Adaptive Weighting of Handcrafted Feature Losses for Facial Expression Recognition [paper]
(2015) Learning Multiscale Active Facial Patches for Expression Analysis[paper]

🔸 IEEE Transactions on Information Forensics and Security

(2020) Fine-Grained Facial Expression Recognition in the Wild [paper]

🔸 Computer Vision and Image Understanding

(2019) Registration-free Face-SSD: Single shot analysis of smiles, facial attributes, and affect in the wild[paper]

🔸 Pattern Recognition Letters

(2019) Deep spatial-temporal feature fusion for facial expression recognition in static images [paper]

Facial Action Unit Recognition

🔸 AAAI

(2021) Uncertain Graph Neural Networks for Facial Action Unit Detection [paper]
(2020) Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution [paper][Code]
(2019) Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition [paper]
(2019) Dual Semi-Supervised Learning for Facial Action Unit Recognition [paper]

🔸 CVPR

(2021) Hybrid Message Passing With Performance-Driven Structures for Facial Action Unit Detection [paper]
(2021) Exploiting Semantic Embedding and Visual Feature for Facial Action Unit Detection [paper]
(2021) Facial Action Unit Detection With Transformers [paper]
(2021) Dynamic Probabilistic Graph Convolution for Facial Action Unit Intensity Estimation [paper]
(2019) Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation [paper]
(2019) Self-Supervised Representation Learning From Videos for Facial Action Unit Detection [paper]
(2019) Local Relationship Learning with Person-specific Shape Regularization for Facial Action Unit Detection [paper]
(2018) Optimizing Filter Size in Convolutional Neural Networks for Facial Action Unit Recognition [paper]
(2018) Weakly-supervised Deep Convolutional Neural Network Learning for Facial Action Unit Intensity Estimation [paper]
(2018) Learning Facial Action Units from Web Images with Scalable Weakly Supervised Clustering [paper]
(2018) Classifier Learning with Prior Probabilities for Facial Action Unit Recognition [paper]
(2018) Bilateral Ordinal Relevance Multi-instance Regression for Facial Action Unit Intensity Estimation [paper]
(2018) Weakly Supervised Facial Action Unit Recognition through Adversarial Training [paper]
(2017) Deep Structured Learning for Facial Action Unit Intensity Estimation [paper]
(2017) Action Unit Detection with Region Adaptation, Multi-labeling Learning and Optimal Temporal Fusing [paper]
(2016) Deep Region and Multi-label Learning for Facial Action Unit Detection [paper] [code] [code2]
(2016) Constrained Joint Cascade Regression Framework for Simultaneous Facial Action Unit Recognition and Facial Landmark Detection [paper]
(2016) Copula Ordinal Regression for Joint Estimation of Facial Action Unit Intensity [paper] [code]
(2015) Latent Trees for Estimating Intensity of Facial Action Units [paper][code]
(2015) Joint Patch and Multi-label Learning for Facial Action Unit Detection [paper]
(2013) Selective Transfer Machine for Personalized Facial Action Unit Detection [paper][:dizzy:]
(2009) A framework for automated measurement of the intensity of non-posed Facial Action Units [paper]

🔸 ICCV

(2021) PIAP-DF: Pixel-Interested and Anti Person-Specific Facial Action Unit Detection Net with Discrete Feedback Learning [paper]
(2019) Context-Aware Feature and Label Fusion for Facial Action Unit Intensity Estimation With Partially Labeled Data [paper]
(2017) DeepCoder: Semi-parametric Variational Autoencoders for Automatic Facial Action Coding [paper]
(2017) Deep Facial Action Unit Recognition from Partially Labeled Data [paper]
(2015) Learning to transfer: transferring latent task structures and its application to person-specific facial action unit detection [paper]
(2015) Multi-conditional Latent Variable Model for Joint Facial Action Unit Detection [paper]
(2015) Confidence Preserving Machine for Facial Action Unit Detection [paper]

🔸 ECCV

(2018) Deep Structure Inference Network for Facial Action Unit Recognition [paper]
(2018) Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment[paper]

🔸 NIPS

(2020) Knowledge Augmented Deep Neural Networks for Joint Facial Expression and Action Unit Recognition [paper]
(2019) Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition [paper]
(2016) Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition [paper]

🔸 IJCAI

(2022) Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition [paper][code]

🔸 ACM MM

(2020) Adaptive Multimodal Fusion for Facial Action Units Recognition [paper]
(2020) Region of Interest Based Graph Convolution: A Heatmap Regression Approach for Action Unit Detection [paper]
(2020) Unsupervised Learning Facial Parameter Regressor for Action Unit Intensity Estimation via Differentiable Renderer [paper]
(2018) Personalized Multiple Facial Action Unit Recognition through Generative Adversarial Recognition Network [paper]

🔸 BMVC

(2020) Self-Supervised Learning for Facial Action Unit Recognition through Temporal Consistency [paper][code]
(2019) Unmasking the Devil in the Details:What Works for Deep Facial Action Coding? [paper]
(2019) Large Margin Loss for Learning Facial Movements from Pseudo-Emotions [paper]
(2019) Attention-based Facial Behavior Analytics in Social Communication [paper]
(2019) Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace [paper]
(2019) PAttNet: Patch-attentive deep network for action unit detection [paper]
(2018) Identity-based Adversarial Training of Deep CNNs for Facial Action Unit Recognition [paper]
(2018) Joint Action Unit localisation and intensity estimation through heatmap regression [paper] [code] [:dizzy::dizzy::dizzy::dizzy:]

🔸 FG

(2019) Expression Empowered ResiDen Network for Facial Action Unit Detection [paper]
(2019) IdenNet: Identity-Aware Facial Action Unit Detection [paper]
(2019) Multimodal Deep Feature Aggregation for Facial Action Unit Recognition using Visible Images and Physiological Signals [paper]
(2019) Facial Action Unit Analysis through 3D Point Cloud Neural Networks [paper]
(2018) Edge Convolutional Network for Facial Action Intensity Estimation [paper]
(2017) Support Vector Regression of Sparse Dictionary-Based Features for View-Independent Action Unit Intensity Estimation [paper]
(2017) Pose-independent Facial Action Unit Intensity Regression Based on Multi-task Deep Transfer Learning [paper]
(2017) AUMPNet: Simultaneous Action Units Detection and Intensity Estimation on Multipose Facial Images Using a Single Convolutional Neural Network [paper]
(2017) EAC-Net: A Region-based Deep Enhancing and Cropping Approach for Facial Action Unit Detection [paper]
(2015) Deep Learning based FACS Action Unit Occurrence and Intensity Estimation [paper]
(2015) How much training data for facial action unit detection? [paper]
(2015) Facial Action Units Intensity Estimation by the Fusion of Features with Multi-kernel Support Vector Machine [paper]
(2015) A Unified Probabilistic Framework For Measuring The Intensity of Spontaneous Facial Action Units [paper]

🔸 ICIP

(2019) Multi-Task Learning of Emotion Recognition and Facial Action Unit Detection with Adaptively Weights Sharing Network [paper]
(2014) Facial action unit intensity estimation using rotation invariant features and regression analysis [paper]

🔸 IEEE Transactions on Image Processing (TIP)

(2018) Facial Action Unit Recognition and Intensity Estimation Enhanced Through Label Dependencies [paper]
(2017) Learning Bases of Activity for Facial Expression Recognition [paper]
(2016) Joint Patch and Multi-label Learning for Facial Action Unit and Holistic Expression Recognition [paper]

🔸 IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

(2020) Learning Representations for Facial Actions from Unlabeled Videos [paper]
(2015) Discriminant Functional Learning of Color Features for the Recognition of Facial Action Units and their Intensities [paper]
(2015) Context-Sensitive Dynamic Ordinal Regression for Intensity Estimation of Facial Action Units [paper]

🔸 IEEE Transactions on Affective Computing (TAC)

(2020) RFAU: A Database for Facial Action Unit Analysis in Real Classrooms [paper]
(2019) Listen to Your Face: Inferring Facial Action Units from Audio Channel [paper]
(2019) Deep Facial Action Unit Recognition and Intensity Estimation from Partially Labelled Data [paper]
(2019) Capturing Feature and Label Relations Simultaneously for Multiple Facial Action Unit Recognition [paper]
(2019) An Adaptive Bayesian Source Separation Method for Intensity Estimation of Facial AUs [paper]
(2017) Copula Ordinal Regression Framework for Joint Estimation of Facial Action Unit Intensity[paper]

🔸 IEEE Transactions on Cybernetics

(2020) Dual Learning for Facial Action Unit Detection Under Nonfull Annotation [paper]
(2017) Improving Speech Related Facial Action Unit Recognition by Audiovisual Information Fusion [paper]
(2016) Intensity Estimation of Spontaneous Facial Action Units Based on Their Sparsity Properties [paper]

🔸 International Journal of Computer Vision (IJCV)

(2019) A Spatiotemporal Convolutional Neural Network for Automatic Pain Intensity Estimation from Facial Dynamics [paper]

🔸 Pattern Recognition (PR)

(2019) Domain Adaptive Representation Learning for Facial Action Unit Recognition [paper]
(2017) Feature and label relation modeling for multiple-facial action unit classification and intensity estimation [paper]
(2017) Expression-assisted facial action unit recognition under incomplete Au annotation [paper]
(2016) Task-dependent multi-task multiple kernel learning for facial action unit detection [paper]

🔸 Image and Vision Computing

(2016) Real-time facial action unit intensity prediction with regularized metric learning [paper]
(2012) Regression-based intensity estimation of facial action units [paper]

🔸 Neurocomputing

(2020) Action Unit Analysis Enhanced Facial Expression Recognition by Deep Neural Network Evolution [paper]
(2019) AU R-CNN：Encoding Expert Prior Knowledge into R-CNN for Action Unit Detection [paper]

🔸 Journal of Visual Communication and Image Representation

(2017) A joint dictionary learning and regression model for intensity estimation of facial AUs [paper]

Affective Level Estimation

🔸 Valence-Arousal Level Estimation

(CVPR 2020) Factorized Higher-Order CNNs with an Application to Spatio-Temporal Emotion Estimation [paper]
(AAAI 2020) MIMAMO Net: Integrating Micro- and Macro-motion for Video Emotion Recognition [paper]
(BMVC 2019) An Unsupervised Subspace Ranking Method for Continuous Emotions in Face Images [paper]
(CVPRW 2017) Estimation of Affective Level in the Wild With Multiple Memory Networks [paper][:dizzy::dizzy:]
(CVPRW 2016) Automatic Recognition of Emotions and Membership in Group Videos [paper][:dizzy:]
(IEEE trans on Affective Computing 2011) Continuous Prediction of Spontaneous Affect from Multiple Cues and Modalities in Valence-Arousal Space [paper]

🔸 Smile Intensity Estimation

(ICMI 2016) Happiness level prediction with sequential inputs via multiple regressions [paper]
(Pattern Recognition Letters 2014) Estimating smile intensity: A better way [paper] [:dizzy::dizzy::dizzy::dizzy:]
(Multimedia Tools and Applications 2018) Smile intensity recognition in real time videos: fuzzy system approach[paper]
(ACM Transactions on Intelligent Systems and Technology 2018) The Effect of Pets on Happiness: A Large-Scale Multi-Factor Analysis Using Social Multimedia [paper]
(ICMI 2016) Group Happiness Assessment Using Geometric Features and Dataset Balancing [paper]
(ICMSS 2017) Happy Index: Analysis Based on Automatic Recognition of Emotion Flow [paper]
(ICCVW 2017) SmileNet: Registration-Free Smiling Face Detection In The Wild [paper][project]
(ACII 2017) Smiling from Adolescence to Old Age: A Large Observational Study [paper]
(ACCVW 2010) Appearance-based smile intensity estimation by cascaded support vector machines [paper]

🔸 Painful Expression Intensity Estimation

(ICPR 2018) Deep Spatiotemporal Representation of the Face for Automatic Pain Intensity Estimation [paper]
(IEEE Transactions on Affective Computing 2019) Multi-modal Pain Intensity Recognition based on the SenseEmotion Database [paper]
(CVPR 2017) Personalized Automatic Estimation of Self-reported Pain Intensity from Facial Expressions [paper][:dizzy::dizzy:]
(IEEE Transactions on Affective Computing 2017) Learning Pain from Action Unit Combinations: A Weakly Supervised Approach via Multiple Instance Learning [paper]
(IEEE trans on Affective Computing 2017) Automatic Pain Assessment with Facial Activity Descriptors [paper]
(CVPR 2017) Personalized Automatic Estimation of Self-reported Pain Intensity from Facial Expressions [paper]
(ICIP 2017) Regularizing Face Verification Nets for Pain Intensity Regression [paper][code]
(CVPRW 2017) Personalized Automatic Estimation of Self-reported Pain Intensity from Facial Expressions [paper][:dizzy::dizzy:]
(ICMI 2017) Cumulative Attributes for Pain Intensity Estimation [paper]
(CVPRW 2017) Recurrent Convolutional Neural Network Regression for Continuous Pain Intensity Estimation in Video [paper]
(CVPRW 2016)Recurrent Convolutional Neural Network Regression for Continuous Pain Intensity Estimation in Video[paper][:dizzy::dizzy::dizzy:]
(CVPRW 2015)Pain Recognition using Spatiotemporal Oriented Energy of Facial Muscles[paper]
(FG 2015)Weakly Supervised Pain Localization using Multiple Instance Learning [paper]
(ICPR 2014) Pain Intensity Evaluation Through Facial Action Units [paper]

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Facial Expression Recognition

🔸 IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)

🔸 International Conference on Computer Vision (ICCV)

🔸 European Conference on Computer Vision (ECCV)

🔸 Association for the Advance of Artificial Intelligence (AAAI)

🔸 ACM International Conference on Multimedia (ACM MM)

🔸 International Joint Conference on Artificial Intelligence (IJCAI)

🔸 International Conference on Machine Learning (ICML)

🔸 British Machine Vision Conference (BMVC)

🔸 IEEE Winter Conference on Applications of Computer Vision (WACV)

🔸 ACM International Conference on Multimodal Interaction (ICMI)

🔸 IEEE International Conference on Automatic Face & Gesture Recognition (FG)

🔸 IEEE International Conference on Image Processing (ICIP)

🔸 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

🔸 IEEE International Conference on Multimedia and Expo (ICME)

🔸 IEEE Transactions on Affective Computing

🔸 IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

🔸 International Journal of Computer Vision (IJCV)

🔸 IEEE Transactions on Image Processing (TIP)

🔸 Pattern Recognition (PR)

🔸 Neurocomputing

🔸 IEEE Transactions on Multimedia

🔸 IEEE Transactions on Circuits and Systems for Video Technology

🔸 IEEE Transactions on Cognitive and Developmental Systems

🔸 IEEE Transactions on Cybernetics

🔸 IEEE Transactions on Information Forensics and Security

🔸 Computer Vision and Image Understanding

🔸 Pattern Recognition Letters

Facial Action Unit Recognition

🔸 AAAI

🔸 CVPR

🔸 ICCV

🔸 ECCV

🔸 NIPS

🔸 IJCAI

🔸 ACM MM

🔸 BMVC

🔸 FG

🔸 ICIP

🔸 IEEE Transactions on Image Processing (TIP)

🔸 IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

🔸 IEEE Transactions on Affective Computing (TAC)

🔸 IEEE Transactions on Cybernetics

🔸 International Journal of Computer Vision (IJCV)

🔸 Pattern Recognition (PR)

🔸 Image and Vision Computing

🔸 Neurocomputing

🔸 Journal of Visual Communication and Image Representation

Affective Level Estimation

🔸 Valence-Arousal Level Estimation

🔸 Smile Intensity Estimation

🔸 Painful Expression Intensity Estimation

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