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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

IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing,Pattern Recognition, IEEE Transactions on Affective Computing, Pattern Recognition, International Journal of Computer Vision, IEEE Transactions on Systems, Man, and Cybernetics, IEEE Journal of Biomedical and Health Informatic, IEEE Transactions on Human-Machine Systems, Image and Vision Computing, Computer Vision and Image Understanding, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Cognitive and Developmental Systems, IEEE Transactions on Cybernetics, IEEE Transactions on Multimedia, IEEE Access, IEEE-ACM Transactions on Computational Biology and Bioinformatics, Neurocomputing, IEEE Transactions on Biometrics, Behavior, and Identity Science, Pattern Recognition Letters IEEE Transactions on Biomedical Engineering

🔸 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]