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Joint Deep Learning of Facial Expression Synthesis and Recognition

https://doi.org/10.1109/tmm.2019.2962317

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-10593-2_11openalex-snapshot

Feature Disentangling Machine - A Novel Approach of Feature Selection and Disentangling in Facial Expression Analysis

inferredcites →https://doi.org/10.1007/978-3-319-16817-3_10openalex-snapshot

Deeply Learning Deformable Facial Action Parts Model for Dynamic Expression Analysis

inferredcites →https://doi.org/10.1007/978-3-319-25958-1_4openalex-snapshot

Advances, Challenges, and Opportunities in Automatic Facial Expression Recognition

inferredcites →https://doi.org/10.1007/978-3-319-46475-6_27openalex-snapshot

Peak-Piloted Deep Network for Facial Expression Recognition

inferredcites →https://doi.org/10.1007/978-3-319-46487-9_6openalex-snapshot

MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition

inferredcites →https://doi.org/10.1007/978-3-642-33718-5_58openalex-snapshot

Multi-view Discriminant Analysis

inferredcites →https://doi.org/10.1007/978-3-642-33783-3_58openalex-snapshot

Disentangling Factors of Variation for Facial Expression Recognition

inferredcites →https://doi.org/10.1007/978-3-658-40442-0_9openalex-snapshot

Generative Adversarial Nets

inferredcites →https://doi.org/10.1007/s11263-019-01151-xopenalex-snapshot

Deep, Landmark-Free FAME: Face Alignment, Modeling, and Expression Estimation

inferredcites →https://doi.org/10.1016/j.imavis.2008.08.005openalex-snapshot

Facial expression recognition based on Local Binary Patterns: A comprehensive study

inferredcites →https://doi.org/10.1016/j.imavis.2009.08.002openalex-snapshot

Multi-PIE

inferredcites →https://doi.org/10.1016/j.imavis.2011.07.002openalex-snapshot

Facial expression recognition from near-infrared videos

inferredcites →https://doi.org/10.1016/j.neucom.2015.02.011openalex-snapshot

AU-inspired Deep Networks for Facial Expression Feature Learning

inferredcites →https://doi.org/10.1016/s1364-6613(00)01482-0openalex-snapshot

The distributed human neural system for face perception

inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot

Gradient-based learning applied to document recognition

inferredcites →https://doi.org/10.1109/afgr.2008.4813445openalex-snapshot

Multi-view facial expression recognition

inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot

ImageNet: A large-scale hierarchical image database

inferredcites →https://doi.org/10.1109/cvpr.2011.5995710openalex-snapshot

On deep generative models with applications to recognition

inferredcites →https://doi.org/10.1109/cvpr.2012.6247923openalex-snapshot

Generalized Multiview Analysis: A discriminative latent space

inferredcites →https://doi.org/10.1109/cvpr.2012.6247974openalex-snapshot

Learning active facial patches for expression analysis

inferredcites →https://doi.org/10.1109/cvpr.2014.226openalex-snapshot

Learning Expressionlets on Spatio-temporal Manifold for Dynamic Facial Expression Recognition

inferredcites →https://doi.org/10.1109/cvpr.2014.233openalex-snapshot

Facial Expression Recognition via a Boosted Deep Belief Network

inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot

Deep Residual Learning for Image Recognition

inferredcites →https://doi.org/10.1109/cvpr.2017.141openalex-snapshot

Disentangled Representation Learning GAN for Pose-Invariant Face Recognition

inferredcites →https://doi.org/10.1109/cvpr.2017.19openalex-snapshot

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

inferredcites →https://doi.org/10.1109/cvpr.2017.463openalex-snapshot

Age Progression/Regression by Conditional Adversarial Autoencoder

inferredcites →https://doi.org/10.1109/cvpr.2017.713openalex-snapshot

SphereFace: Deep Hypersphere Embedding for Face Recognition

inferredcites →https://doi.org/10.1109/cvpr.2018.00231openalex-snapshot

Facial Expression Recognition by De-expression Residue Learning

inferredcites →https://doi.org/10.1109/cvpr.2018.00916openalex-snapshot

StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation

inferredcites →https://doi.org/10.1109/cvprw.2010.5543262openalex-snapshot

The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression

inferredcites →https://doi.org/10.1109/fg.2017.140openalex-snapshot

Identity-Aware Convolutional Neural Network for Facial Expression Recognition

inferredcites →https://doi.org/10.1109/fg.2017.23openalex-snapshot

FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition

inferredcites →https://doi.org/10.1109/fg.2019.8756632openalex-snapshot

Using Photorealistic Face Synthesis and Domain Adaptation to Improve Facial Expression Analysis

inferredcites →https://doi.org/10.1109/iccv.2015.341openalex-snapshot

Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition

inferredcites →https://doi.org/10.1109/iccv.2017.244openalex-snapshot

Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks

inferredcites →https://doi.org/10.1109/iccv.2017.299openalex-snapshot

CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training

inferredcites →https://doi.org/10.1109/lsp.2016.2603342openalex-snapshot

Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks

inferredcites →https://doi.org/10.1109/taffc.2020.2981446openalex-snapshot

Deep Facial Expression Recognition: A Survey

inferredcites →https://doi.org/10.1109/tifs.2018.2833032openalex-snapshot

A Light CNN for Deep Face Representation With Noisy Labels

inferredcites →https://doi.org/10.1109/tip.2014.2375634openalex-snapshot

Discriminative Shared Gaussian Processes for Multiview and View-Invariant Facial Expression Recognition

inferredcites →https://doi.org/10.1109/tip.2017.2689999openalex-snapshot

Facial Expression Recognition Based on Deep Evolutional Spatial-Temporal Networks

inferredcites →https://doi.org/10.1109/tmm.2013.2266635openalex-snapshot

Face Expression Recognition by Cross Modal Data Association

inferredcites →https://doi.org/10.1109/tmm.2016.2598092openalex-snapshot

A Deep Neural Network-Driven Feature Learning Method for Multi-view Facial Expression Recognition

inferredcites →https://doi.org/10.1109/tmm.2016.2614429openalex-snapshot

A Novel Transient Wrinkle Detection Algorithm and Its Application for Expression Synthesis

inferredcites →https://doi.org/10.1109/tmm.2018.2844085openalex-snapshot

Facial Expression Recognition Using Hierarchical Features With Deep Comprehensive Multipatches Aggregation Convolutional Neural Networks

inferredcites →https://doi.org/10.1109/tpami.2007.1110openalex-snapshot

Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions

inferredcites →https://doi.org/10.1109/tpami.2016.2515606openalex-snapshot

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

inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

inferredcites →https://doi.org/10.1109/tvcg.2006.9openalex-snapshot

Geometry-driven photorealistic facial expression synthesis

inferredcites →https://doi.org/10.1109/wacv.2016.7477450openalex-snapshot

Going deeper in facial expression recognition using deep neural networks

inferredcites →https://doi.org/10.1111/1467-8659.t01-1-00712openalex-snapshot

Reanimating Faces in Images and Video

inferredcites →https://doi.org/10.1145/1273496.1273613openalex-snapshot

Discriminative Gaussian process latent variable model for classification

inferredcites →https://doi.org/10.1145/1964921.1964955openalex-snapshot

Expression flow for 3D-aware face component transfer

inferredcites →https://doi.org/10.1145/2010324.1964955openalex-snapshot

Expression flow for 3D-aware face component transfer

inferredcites →https://doi.org/10.1145/2818346.2830593openalex-snapshot

Deep Learning for Emotion Recognition on Small Datasets using Transfer Learning

inferredcites →https://doi.org/10.1145/3240508.3240612openalex-snapshot

Geometry Guided Adversarial Facial Expression Synthesis

inferredcites →https://doi.org/10.1145/3292652openalex-snapshot

Synthesis of Facial Expressions in Photographs

inferredcites →https://doi.org/10.1145/383259.383289openalex-snapshot

Expressive expression mapping with ratio images

inferredcites →https://doi.org/10.1162/089892902760807177openalex-snapshot

EMPATH: A Neural Network that Categorizes Facial Expressions

inferredcites →https://doi.org/10.11834/jig.200233openalex-snapshot

Deep facial expression recognition: a survey

inferredcites →https://doi.org/10.1609/aaai.v24i1.7697openalex-snapshot

Gaussian Process Latent Random Field

inferredcites →https://doi.org/10.1609/aaai.v32i1.12277openalex-snapshot

ExprGAN: Facial Expression Editing With Controllable Expression Intensity

inferredcites →https://doi.org/10.3156/jsoft.29.5_177_2openalex-snapshot

GAN（Generative Adversarial Nets）

inferredcites →https://doi.org/10.4230/oasics.dx.2026.15openalex-snapshot

AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)

inferredcites →https://doi.org/10.48550/arxiv.1312.6114openalex-snapshot

Auto-Encoding Variational Bayes

inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot

Very Deep Convolutional Networks for Large-Scale Image Recognition

inferredcites →https://doi.org/10.48550/arxiv.1411.1784openalex-snapshot

Conditional Generative Adversarial Nets

inferredcites →https://doi.org/10.48550/arxiv.1411.7923openalex-snapshot

Learning Face Representation from Scratch

inferredcites →https://doi.org/10.48550/arxiv.1412.6596openalex-snapshot

Training Deep Neural Networks on Noisy Labels with Bootstrapping

inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot

Adam: A Method for Stochastic Optimization

inferredcites →https://doi.org/10.48550/arxiv.1511.06434openalex-snapshot

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

inferredcites →https://doi.org/10.48550/arxiv.1607.08022openalex-snapshot

Instance Normalization: The Missing Ingredient for Fast Stylization

inferredcites →https://doi.org/10.48550/arxiv.1610.05586openalex-snapshot

Deep Identity-aware Transfer of Facial Attributes

inferredcites →https://doi.org/10.48550/arxiv.1611.09961openalex-snapshot

Semantic Facial Expression Editing using Autoencoded Flow

inferredcites →https://doi.org/10.48550/arxiv.1802.01822openalex-snapshot

Geometry-Contrastive GAN for Facial Expression Transfer

inferredcites →https://doi.org/10.5244/c.29.41openalex-snapshot

Deep Face Recognition

inferredcites →https://doi.org/10.5772/6167openalex-snapshot

Generating Facial Expressions with Deep Belief Nets

inferredcites →https://doi.org/10.5860/choice.44-5091openalex-snapshot

Pattern recognition and machine learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4463278openalex-extracted

Similarity-Aware Generative Adversarial Network for Facial Expression Translation

inferred← citeshttps://doi.org/10.1007/978-3-030-87358-5_30openalex-snapshot

Multi-pose Facial Expression Recognition Based on Unpaired Images

inferred← citeshttps://doi.org/10.1007/978-3-031-85187-2_2openalex-snapshot

How Do You Perceive My Face? Recognizing Facial Expressions in Multi-modal Context by Modeling Mental Representations

inferred← citeshttps://doi.org/10.1007/978-981-97-0641-9_11openalex-snapshot

Multimodal Attention CNN for Human Emotion Recognition

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CCDA: a concise corner detection algorithm

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Towards a fairer vision: addressing class imbalance in image gender recognition

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Low-parameter GAN inversion framework based on hypernetwork

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Leveraging generative AI synthetic and social media data for content generalizability to overcome data constraints in vision deep learning

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From methods to datasets: a detailed study on facial emotion recognition

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Real-time dynamic gesture recognition and hand servo tracking using PTZ camera

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Facial expression recognition: a review

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Techniques, promising directions, challenges, datasets, and representations of facial expression analysis

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Adaptive Deep Disturbance-Disentangled Learning for Facial Expression Recognition

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2025.109986openalex-snapshot

DCAlexNet: Deep coupled AlexNet for micro facial expression recognition based on double face images

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Expanding the defect image dataset of composite material coating with enhanced image-to-image translation

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Facial expression recognition method with multi-label distribution learning for non-verbal behavior understanding in the classroom

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Manifold-enhanced CycleGAN for facial expression synthesis

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Rethinking Pseudo-Labeling for Semi-Supervised Facial Expression Recognition With Contrastive Self-Supervised Learning

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CG-FER : A Hybrid CNN and GAN based Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9746695openalex-snapshot

SDNET: Lightweight Facial Expression Recognition For Sample Disequilibrium

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Investigating of Deaf Emotion Cognition Pattern By EEG and Facial Expression Combination

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Global-Local Disturbance Decoupling for Federated Facial Expression Recognition

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2020 Index IEEE Transactions on Multimedia Vol. 22

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Disentangled Representation Learning for Cross-Modal Biometric Matching

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Identity-Aware Facial Expression Recognition Via Deep Metric Learning Based on Synthesized Images

inferred← citeshttps://doi.org/10.1109/tmm.2021.3126430openalex-snapshot

Weakly Supervised Instance Segmentation by Exploring Entire Object Regions

inferred← citeshttps://doi.org/10.1109/tmm.2022.3141604openalex-snapshot

Deep Margin-Sensitive Representation Learning for Cross-Domain Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/tmm.2022.3216961openalex-snapshot

Facial Expression Guided Diagnosis of Parkinson's Disease via High-Quality Data Augmentation

inferred← citeshttps://doi.org/10.1109/tmm.2023.3316027openalex-snapshot

Cross-Domain Sample Relationship Learning for Facial Expression Recognition

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Visual-Textual Attribute Learning for Class-Incremental Facial Expression Recognition

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Facial Action Units as a Joint Dataset Training Bridge for Facial Expression Recognition

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Graph Neural Networks With Multi-Level Augmentation for Low-Degree Graph

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An Explainable and Flexible Plug-and-Play Multi-View Representation Learning Network

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Regional Self-Attention Convolutional Neural Network for Facial Expression Recognition

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An Improved Generative Adversarial Network for Micro-expressions based on Multi-label Learning from Action Units

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Towards Unbiased Visual Emotion Recognition via Causal Intervention

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4D Facial Expression Diffusion Model

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Improved Facial Expression Recognition Method Based on GAN

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Attention-Based Image-to-Video Translation for Synthesizing Facial Expression Using GAN

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Artificial Intelligence-Driven Physical Simulation and Animation Generation in Computer Graphics

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Facial Expression Synthesis and Recognition with Pre-Trained StyleGAN

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Style attention based global-local aware GAN for personalized facial caricature generation

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Facial Expression Recognition: One Attention-Modulated Contextual Spatial Information Network

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Toward Trustworthy AI for Autism Spectrum Disorder: A Systematic Review of Multimodal Systems, Knowledge Representation, and Clinical Integration

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Expression-Guided Deep Joint Learning for Facial Expression Recognition

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Facial Emotion Recognition and Synthesis with Convolutional Neural Networks

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CFNet: A Coarse-to-Fine Learning Strategy for Facial Expression Recognition

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CFNet: A Coarse-to-Fine Learning Strategy for Facial Expression Recognition

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Image Classification Using Deep Neural Networks

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Multi-Feature Integrated Concurrent Neural Network for Human Facial Expression Recognition

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