farhodfm/AWESOME-FER

🐱FER Datasets

🐱FER Challenges

🐱Related Reviews

🐱Facial Expression Recognition (FER)

🐱Cross-Dataset FER

🐱Facial Action Unit Recognition

🐱Affective Level Estimation

FER Datasets

Jaffe
FER-2013
MMI Facial Expression Database
Cohn-Kanade Expression Database
Oulu-CASIA NIR&VIS facial expression database
Multi-PIE
BU-3DFE (Binghamton University 3D Facial Expression) Database
Real-world Affective Faces (RAF) Database
AffectNet
EmotioNet Database
The Radboud Faces Database (RaFD)
Aff-Wild data
A novel database of Children’s Spontaneous Facial Expressions (LIRIS-CSE) [paper]

FER Challenges

Related Reviews

(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]
(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]
Deep Facial Expression Recognition: A Survey [paper]

Facial Expression Recognition

AAAI

(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 MM

(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]

ICCV

(2017) A Novel Space-Time Representation on the Positive Semidefinite Cone for Facial Expression Recognition [paper][:dizzy:]
(2017) (workshop) Facial Expression Recognition via Joint Deep Learning of RGB-Depth Map Latent Representations [paper][:dizzy:]
(2017) (workshop) Facial Expression Recognition using Visual Saliency and Deep Learning [paper][:dizzy::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:]

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:]

CVPR

(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:]
(2018) (workshop) Covariance Pooling for Facial Expression Recognition [paper],[code][:dizzy:]
(2018) (workshop) Unsupervised Features for Facial Expression Intensity Estimation over Time [paper][:dizzy::dizzy:]
(2018) (workshop) A Compact Deep Learning Model for Robust Facial Expression Recognition [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:]
(2017) (workshop) Facial Expression Recognition Using Enhanced Deep 3D Convolutional Neural Networks [paper][:dizzy:]
(2017) (workshop) Estimation of Affective Level in the Wild With Multiple Memory Networks [paper][:dizzy::dizzy:]
(2017) (workshop) DyadGAN: Generating Facial Expressions in Dyadic Interactions [paper][:dizzy:]
(2017) (workshop) Personalized Automatic Estimation of Self-reported Pain Intensity from Facial Expressions [paper][:dizzy::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:]
(2016) (workshop) Automatic Recognition of Emotions and Membership in Group Videos [paper][:dizzy:]
(2016) (workshop) Extended DISFA Dataset: Investigating Posed and Spontaneous Facial Expressions [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:]

IJCAI

(2018) Personality-Aware Personalized Emotion Recognition from Physiological Signals [paper]

BMVC

(2018) Feature Selection Mechanism in CNNs for Facial Expression Recognition [paper]

WACV

(2016) Going Deeper in Facial Expression Recognition using Deep Neural Networks [paper][:dizzy:]

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]

FG

(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:]
(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 Trans on Affective Computing

(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) An Adaptive Bayesian Source Separation Method for Intensity Estimation of Facial AUs [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]

IEEE Access

(2019) cGAN Based Facial Expression Recognition for Human-Robot Interaction [paper]
(2018) Geometric-Convolutional Feature Fusion Based on Learning Propagation for Facial Expression Recognition [paper]
(2018) Adaptive Feature Mapping for Customizing Deep Learning Based Facial Expression Recognition Model[paper]
(2018) Facial Expression Recognition Using Weighted Mixture Deep Neural Network Based on Double-Channel Facial Images [paper]
(2018) SMEConvNet: A Convolutional Neural Network for Spotting Spontaneous Facial Micro-Expression From Long Videos [paper]
(2018) Dominant and Complementary Emotion Recognition From Still Images of Faces [paper]

IEEE Transactions on Image Processing

(2018) Occlusion aware facial expression recognition using CNN with attention mechanism [paper]
(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]

IEEE Transactions on Multimedia

(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]

Computer Vision and Image Understanding

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

IEEE Transactions on Cybernetics

(2015) Learning Multiscale Active Facial Patches for Expression Analysis[paper]

Others

(IEEE Journal of Selected Topics in Signal Processing17) End-to-End Multimodal Emotion Recognition using Deep Neural Networks [paper],[code]

Cross-Dataset FER

(Neurocomputing18) Cross-domain Facial Expression Recognition via an Intra-category Common Feature and Inter-category Distinction feature Fusion Network [paper]
Cross-database non-frontal facial expression recognition based on transductive deep transfer learning [paper]
Unsupervised Domain Adaptation for Facial Expression Recognition Using Generative Adversarial Networks [paper]
ICPR 18 Deep Emotion Transfer Network for Cross-database Facial Expression Recognition
FG 2018 Deep Unsupervised Domain Adaptation for Face Recognition [paper][:dizzy::dizzy::dizzy:]
FG 2018 Cross-generating GAN for Facial Identity Preserving [paper][:dizzy:]
ACM MM 2017 Learning a Target Sample Re-Generator for Cross-Database Micro-Expression Recognition [paper][:dizzy:]
TIP 2018 Domain Regeneration for Cross-Database Micro-Expression Recognition [paper][:dizzy:]
CVPR 2013 Selective Transfer Machine for Personalized Facial Action Unit Detection [paper][:dizzy:]
TPAMI 2017 Selective Transfer Machine for Personalized Facial Expression Analysis [paper]
ICONIP 2016 Cross-Database Facial Expression Recognition via Unsupervised Domain Adaptive Dictionary Learning [paper](P428)[:dizzy:]
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING 2018 Cross-Domain Color Facial Expression Recognition Using Transductive Transfer Subspace Learning [paper][:dizzy:]
FG2018 Unsupervised Domain Adaptation with Regularized Optimal Transport for Multimodal 2D+3D Facial Expression Recognition [paper][:dizzy::dizzy:]
ICB2016 Discriminative Feature Adaptation for Cross-Domain Facial Expression Recognition [paper][:dizzy:]
ICB2015 A Transfer Learning Approach to Cross-Database Facial Expression Recognition [paper][:dizzy:]
ICRA2011 Cross-dataset facial expression recognition [paper][:dizzy:]
Neurocomputing2016 Transfer subspace learning for cross-dataset facial expression recognition [paper][:dizzy:]
IEEE TRANSACTIONS ON MULTIMEDIA 2016 A Deep Neural Network-Driven Feature Learning Method for Multi-view Facial Expression Recognition [paper](Cross-view facial expression recognition)[:dizzy:]
CVPR2014 Constrained Deep Transfer Feature Learning and its Applications [paper](Cross-view facial expression recognition)[:dizzy:]
IEEE SIGNAL PROCESSING LETTERS 2016 Cross-Corpus Speech Emotion Recognition Based on Domain-Adaptive Least-Squares Regression [paper][:dizzy:]
ICMI2017 Cross-Modality Interaction between EEG Signals and Facial Expression [paper][:dizzy:]
ACM MM 2017 Integrated Face Analytics Networks through Cross-Dataset Hybrid Training[paper][:dizzy::dizzy:]

Facial Action Unit Recognition

CVPR

(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]
(2009) A framework for automated measurement of the intensity of non-posed Facial Action Units [paper]

ICCV

(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]

ACM MM

(2018) Personalized Multiple Facial Action Unit Recognition through Generative Adversarial Recognition Network [paper]

BMVC

(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

(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]

IEEE Transactions on Image Processing

(2018) Facial Action Unit Recognition and Intensity Estimation Enhanced Through Label Dependencies [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

(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

(2017) Copula Ordinal Regression Framework for Joint Estimation of Facial Action Unit Intensity[paper]

Pattern Recognition

(2017) Feature and label relation modeling for multiple-facial action unit classification and intensity estimation [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]

Journal of Visual Communication and Image Representation

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

Others

Region-based facial representation for real-time Action Units intensity detection across datasets [paper]
(ACII17) Local-Global Ranking for Facial Expression Intensity Estimation [paper]
(Pattern Recognition Letters14) Estimating smile intensity: A better way [paper] [:dizzy::dizzy::dizzy::dizzy:]
(nccv15) Deep Learning based FACS Action Unit Occurrence and Intensity Estimation [paper]
Conditional Adversarial Synthesis of 3D Facial Action Units [paper] [:dizzy::dizzy::dizzy:]
(NIPS16) Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition [paper]
(ICIP14) Facial action unit intensity estimation using rotation invariant features and regression analysis [paper]
(IEEE Transactions on Cybernetics 16) Intensity Estimation of Spontaneous Facial Action Units Based on Their Sparsity Properties [paper]
Projects [Computer Expression Recognition Toolbox] [TAUD 2011] [LAUD 2010] [Openface] [[Openface-Paper](OpenFace: an open source facial behavior analysis toolkit)]

Affective Level Estimation

Dataset

AffectNet [Website]
(IEEE TRANSACTIONS ON AFFECTIVE COMPUTING) AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild [paper]
EMOTIC dataset [Website]
(CVPR17) Emotion Recognition in Context [paper][Supp]
(CVPR17 workshop) EMOTIC: Emotions in Context Dataset
Aff-Wild DATASET[Website]
Deep Affect Prediction in-the-wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond [paper]
(CVPR17 workshop) Aff-Wild: Valence and Arousal ‘in-the-wild’ Challenge [paper]
HAPPEI dataset (happiness intensity)
DISFA [Website](AUs)
(IEEE TRANSACTIONS ON AFFECTIVE COMPUTING13) DISFA: A Spontaneous Facial Action Intensity Database [paper]
GENKI-4K [Website](smile&non-smile)
Proposed Methods validated using GENKI-4K :
(ICCVW17) 95.76 SmileNet: Registration-Free Smiling Face Detection In The Wild [paper][project]
(Machine Vision and Applications17) 92.05 Smile detection in the wild with deep convolutional neural networks [paper]
(ACPR15) 94.6 Facial smile detection based on deep learning features. [paper]
AFFECTIVA-MIT AM-FED [Website](smile&non-smile)
Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected In-the-Wild [paper]
Binghamton Pittsburgh 4D Spontaneous Expression datase (BP4D) [Website]
The UNBC-McMaster Shoulder Pain Expression Archive Database

Challenges

Group-level happiness intensity recognition @ EmotiW16 [Website]
First Affect-in-the-Wild Challenge [Website]

Related Works

(ICMI16) Happiness level prediction with sequential inputs via multiple regressions [paper]
(CVPR17 workshop) Estimation of Affective Level in the Wild With Multiple Memory Networks [paper]
(ICMI16) Group Happiness Assessment Using Geometric Features and Dataset Balancing [paper]
(ICMI17) Group Emotion Recognition with Individual Facial Emotion CNNs and Global Image Based CNNs [paper]
Feature Extraction via Recurrent Random Deep Ensembles and its Application in Gruop-level Happiness Estimation [paper]
(ICPR18) Deep Spatiotemporal Representation of the Face for Automatic Pain Intensity Estimation [paper]
Learning Pain from Action Unit Combinations: A Weakly Supervised Approach via Multiple Instance Learning [paper]
(CVPR17) Personalized Automatic Estimation of Self-reported Pain Intensity from Facial Expressions [paper]
(ICIP17) REGULARIZING FACE VERIFICATION NETS FOR PAIN INTENSITY REGRESSION [paper]
(CVPR17 Workshop) Recurrent Convolutional Neural Network Regression for Continuous Pain Intensity Estimation in Video [paper]
Multi-Instance Dynamic Ordinal Random Fields for Weakly-supervised Facial Behavior Analysis [paper]
(FG17) Generic to Specific Recognition Models for Group Membership Analysis in Videos [paper]
(Neurocomputing18)Facial expression intensity estimation using Siamese and triplet networks [paper]
(Neurocomputing16) A new descriptor of gradients Self-Similarity for smile detection in unconstrained scenarios [paper]
(IEEE trans on Affective Computing11) Continuous Prediction of Spontaneous Affect from Multiple Cues and Modalities in Valence-Arousal Space [paper]

Happiness (smile intensity estimation)

(IEEE Transactions on Pattern Analysis and Machine Intelligence 09) Toward Practical Smile Detection [paper]
(Multimedia Tools and Applications18) Smile intensity recognition in real time videos: fuzzy system approach[paper]
(ACM Transactions on Intelligent Systems and Technology18) The Effect of Pets on Happiness: A Large-Scale Multi-Factor Analysis Using Social Multimedia [paper]
(ICMSS '17) Happy Index: Analysis Based on Automatic Recognition of Emotion Flow [paper]
(ICPR 2012)Group Expression Intensity Estimation in Videos via Gaussian Processes [paper]
A Novel Approach to Detect Smile [paper]
(ICCV17 Workshop) SmileNet: Registration-Free Smiling Face Detection In The Wild [paper][project]
(ACII17) Smiling from Adolescence to Old Age: A Large Observational Study [paper]
Deep Convolutional Neural Networks for Smile Recognition [paper]
Embedded Implementation of a Deep Learning Smile Detector [paper]
Smile detection in the wild based on transfer learning [paper]
Appearance-based smile intensity estimation by cascaded support vector machines [paper]
Smile detection in the wild with deep convolutional neural networks [paper]
Fast and Robust Smile Intensity Estimation by Cascaded Support Vector Machines [paper]

Painful Expression Intensity Estimation

(IEEE Transactions on Affective Computing 19) Multi-modal Pain Intensity Recognition based on the SenseEmotion Database [paper]
(ICMI17) Cumulative Attributes for Pain Intensity Estimation [paper]
(CVPRW16)Recurrent Convolutional Neural Network Regression for Continuous Pain Intensity Estimation in Video[paper][:dizzy::dizzy::dizzy:]
(CVPRW15)Pain Recognition using Spatiotemporal Oriented Energy of Facial Muscles[paper]
(CVPR17) Personalized Automatic Estimation of Self-reported Pain Intensity from Facial Expressions [paper][:dizzy::dizzy:]
(FG15)Weakly Supervised Pain Localization using Multiple Instance Learning [paper]
(ICIP17) REGULARIZING FACE VERIFICATION NETS FOR PAIN INTENSITY REGRESSION [paper][code]
(ICME13) PAIN DETECTION THROUGH SHAPE AND APPEARANCE FEATURES [paper]
(ICPR14) Pain Intensity Evaluation Through Facial Action Units [paper]
(ieee trans on affective computing) Automatic Pain Assessment with Facial Activity Descriptors [paper]

Attention

(ACM MM17) Fine-Grained Recognition via Attribute-Guided Attentive Feature Aggregation [paper]
(ACM MM18) visual spatial attention network for relationship detection [paper]
(ACM MM18) Attribute-Aware Attention Model for Fine-grained Representation Learning [paper]
(ACM MM18) Attention-based Multi-Patch Aggregation for Image Aesthetic Assessment [paper]
(ACM MM18) Attention-based Pyramid Aggregation Network for Visual Place Recognition [paper]
(CVPR18) Attention-Aware Compositional Network for Person Re-identification [paper]
(CVPR18) PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection [paper]
(CVPR18) Emotional Attention: A Study of Image Sentiment and Visual Attention [paper]
(CVPR16) Learning Deep Features for Discriminative Localization [paper][code]
(CVPR18) Non-local Neural Networks [paper]
(ECCV18) Interaction-aware Spatio-temporal Pyramid Attention Networks for Action Classification [paper]
(ECCV18) CBAM: Convolutional Block Attention Module [paper]
(CVPR18) Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification[paper]
(CVPR18) Attention-Aware Compositional Network for Person Re-identification [paper]
(ICCV17) A Coarse-Fine Network for Keypoint Localization [paper]
Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention [paper]
(AAAI19) Dual Attention Network for Scene Segmentation [paper]
(ECCV18) Small-scale Pedestrian Detection Based on Topological Line Localization and Temporal Feature Aggregation [paper]
(ECCV2018) CornerNet: Detecting Objects as Paired Keypoints [paper][code]
(ECCV2018) DeepPhys: Video-Based Physiological Measurement Using Convolutional Attention Networks [paper]
(ECCV18) Video Object Segmentation with Joint Re-identification and Attention-Aware Mask Propagation [paper]
(ECCV18) Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-identification [paper]
(ECCV18) Deep Imbalanced Attribute Classification using Visual Attention Aggregation [paper]
(ECCV18) Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: the Benefit of Target Expectation Maximization [paper]
(ECCV18) Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment [paper]

FER Datasets

FER Challenges

Related Reviews

Facial Expression Recognition

AAAI

ACM MM

ICCV

ECCV

CVPR

IJCAI

BMVC

WACV

ICMI

FG

IEEE Trans on Affective Computing

IEEE Access

IEEE Transactions on Image Processing

IEEE Transactions on Multimedia

Computer Vision and Image Understanding

IEEE Transactions on Cybernetics

Others

Cross-Dataset FER

Facial Action Unit Recognition

CVPR

ICCV

ECCV

ACM MM

BMVC

FG

IEEE Transactions on Image Processing

IEEE Transactions on Pattern Analysis and Machine Intelligence

IEEE Transactions on Affective Computing

Pattern Recognition

Image and Vision Computing

Journal of Visual Communication and Image Representation

Others

Affective Level Estimation

Dataset

Challenges

Related Works

Happiness (smile intensity estimation)

Painful Expression Intensity Estimation

Attention

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