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Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition

https://doi.org/10.1109/cvpr42600.2020.01400

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What this work says

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

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Facial Expression Recognition with Inconsistently Annotated Datasets

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Fuzzy SVM with a new fuzzy membership function

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Deep spatial-temporal feature fusion for facial expression recognition in static images

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Compound facial expressions of emotion

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A high-resolution 3D dynamic facial expression database

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Learning active facial patches for expression analysis

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Head Pose Estimation Based on Multivariate Label Distribution

inferredcites →https://doi.org/10.1109/cvpr.2016.600openalex-snapshot

EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild

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

Deep Residual Learning for Image Recognition

inferredcites →https://doi.org/10.1109/cvpr.2017.277openalex-snapshot

Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild

inferredcites →https://doi.org/10.1109/cvpr.2017.696openalex-snapshot

Learning from Noisy Large-Scale Datasets with Minimal Supervision

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

Facial Expression Recognition by De-expression Residue Learning

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

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AU-aware Deep Networks for facial expression recognition

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OpenFace 2.0: Facial Behavior Analysis Toolkit

inferredcites →https://doi.org/10.1109/iccv.2017.211openalex-snapshot

Learning from Noisy Labels with Distillation

inferredcites →https://doi.org/10.1109/iccvw.2011.6130508openalex-snapshot

Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark

inferredcites →https://doi.org/10.1109/icdm.2015.41openalex-snapshot

Leveraging Implicit Relative Labeling-Importance Information for Effective Multi-label Learning

inferredcites →https://doi.org/10.1109/taffc.2017.2740923openalex-snapshot

AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild

inferredcites →https://doi.org/10.1109/tip.2017.2689998openalex-snapshot

Deep Label Distribution Learning With Label Ambiguity

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/tkde.2016.2545658openalex-snapshot

Label Distribution Learning

inferredcites →https://doi.org/10.1109/tpami.2013.51openalex-snapshot

Facial Age Estimation by Learning from Label Distributions

inferredcites →https://doi.org/10.1109/tsmcb.2010.2044788openalex-snapshot

Graph-Preserving Sparse Nonnegative Matrix Factorization With Application to Facial Expression Recognition

inferredcites →https://doi.org/10.1109/vcip47243.2019.8965826openalex-snapshot

Facial Motion Prior Networks for Facial Expression Recognition

inferredcites →https://doi.org/10.1145/2522848.2531745openalex-snapshot

Combining modality specific deep neural networks for emotion recognition in video

inferredcites →https://doi.org/10.1145/2733373.2806328openalex-snapshot

Emotion Distribution Recognition from Facial Expressions

inferredcites →https://doi.org/10.1145/2993148.2997627openalex-snapshot

Emotion recognition in the wild from videos using images

inferredcites →https://doi.org/10.14778/3055540.3055547openalex-snapshot

Truth inference in crowdsourcing

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8. Automatic differentiation

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Multi-Label Manifold Learning

inferredcites →https://doi.org/10.1609/aaai.v33i01.33015008openalex-snapshot

Soft Facial Landmark Detection by Label Distribution Learning

inferredcites →https://doi.org/10.24963/ijcai.2018/406openalex-snapshot

Label Enhancement for Label Distribution Learning

inferredcites →https://doi.org/10.4230/lipics.sea.2020.1openalex-snapshot

Algorithm Engineering for High-Dimensional Similarity Search Problems (Invited Talk)

inferredcites →https://doi.org/10.48550/arxiv.1703.07140openalex-snapshot

Deep generative-contrastive networks for facial expression recognition

inferredcites →https://doi.org/10.48550/arxiv.1711.00313openalex-snapshot

Avoiding Your Teacher's Mistakes: Training Neural Networks with Controlled Weak Supervision

inferredcites →https://doi.org/10.48550/arxiv.1805.02641openalex-snapshot

Label Refinery: Improving ImageNet Classification through Label Progression

What points at this work

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

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Enhanced Facial Expression Recognition by Imbalance-Aware Learning and Adaptive Local Detail Enhancement

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Learn from All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition

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Label Enhancement Using Inter-example Correlation Information

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Facial Expression Recognition with Manifold Learning and Graph Convolutional Network

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Soft Label Mining and Average Expression Anchoring for Facial Expression Recognition

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Lightweight Multi-level Information Fusion Network for Facial Expression Recognition

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A Multi-region Feature Extraction and Fusion Strategy Based CNN-Attention Network for Facial Expression Recognition

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LIARx: A Partial Fact Fake News Data Set with Label Distribution Approach for Fake News Detection

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DHCA-Net: A Dual-Branch Multi-Task Network Based on Heterogeneous Collaborative Attention for FacialExpression Recognition

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Local-Global Cross-Fusion Transformer Network for Facial Expression Recognition

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Multi-branch Multi-scale Attention Network for Facial Expression Recognition (FER) in-the-Wild

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Heuristic objective for facial expression recognition

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Weighted contrastive learning using pseudo labels for facial expression recognition

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Emotion-wise feature interaction analysis-based visual emotion distribution learning

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LA-Net: Landmark-Aware Learning for Reliable Facial Expression Recognition under Label Noise

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Ordinal Label Distribution Learning

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Analysis of Students' Positive Emotion and Smile Intensity Using Sequence-Relative Key-Frame Labeling and Deep-Asymmetric Convolutional Neural Network

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SNEFER: Stopping the Negative Effect of Noisy Labels Adaptively in Facial Expression Recognition

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A Two-Stage Spatiotemporal Attention Convolution Network for Continuous Dimensional Emotion Recognition From Facial Video

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Multi-Scale Attention Learning Network for Facial Expression Recognition

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Heterogeneous Dual-Branch Emotional Consistency Network for Facial Expression Recognition

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Self-Cure Network with Two-Stage Method for Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/m2vip62491.2024.10746197openalex-snapshot

Uncertain-aware Patch Learning for Ambiguous Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/mlnlp63328.2024.10800127openalex-snapshot

Face Mamba: A Facial Emotion Analysis Network Based on VMamba*

inferred← citeshttps://doi.org/10.1109/mlsp58920.2024.10734790openalex-snapshot

Learning Diversified Feature Representations for Facial Expression Recognition in the Wild

inferred← citeshttps://doi.org/10.1109/mlsp58920.2024.10734814openalex-snapshot

SWP: A Stage-Weighted Pooling Based Convolutional Neural Networks for Facial Expression Recognition in the Wild

inferred← citeshttps://doi.org/10.1109/nnice64954.2025.11064647openalex-snapshot

Sliding Distribution Learning for Facial Expression Recognition with Noisy Labels

inferred← citeshttps://doi.org/10.1109/ojcs.2024.3443511openalex-snapshot

InFER++: Real-World Indian Facial Expression Dataset

inferred← citeshttps://doi.org/10.1109/smartcloud52277.2021.00020openalex-snapshot

FBLE: A Feature-based Label Enhancement Method for Corporate Bond Credit Rating Prediction

inferred← citeshttps://doi.org/10.1109/smc58881.2025.11342764openalex-snapshot

Learning Preference Distributions: A Label-Side Paradigm for Explainable Reward Models

inferred← citeshttps://doi.org/10.1109/taffc.2022.3143100openalex-snapshot

An Overview of Facial Micro-Expression Analysis: Data, Methodology and Challenge

inferred← citeshttps://doi.org/10.1109/taffc.2022.3156920openalex-snapshot

Probabilistic Attribute Tree Structured Convolutional Neural Networks for Facial Expression Recognition in the Wild

inferred← citeshttps://doi.org/10.1109/taffc.2022.3215918openalex-snapshot

Graph-Based Facial Affect Analysis: A Review

inferred← citeshttps://doi.org/10.1109/taffc.2022.3220291openalex-snapshot

Bias-Based Soft Label Learning for Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2022.3226473openalex-snapshot

Vision Transformer With Attentive Pooling for Robust Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2023.3263886openalex-snapshot

Unconstrained Facial Expression Recognition With No-Reference De-Elements Learning

inferred← citeshttps://doi.org/10.1109/taffc.2023.3264719openalex-snapshot

Modeling Uncertainty for Low-Resolution Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2023.3333874openalex-snapshot

Improving Multi-Label Facial Expression Recognition With Consistent and Distinct Attentions

inferred← citeshttps://doi.org/10.1109/taffc.2023.3334520openalex-snapshot

Emotion Dictionary Learning With Modality Attentions for Mixed Emotion Exploration

inferred← citeshttps://doi.org/10.1109/taffc.2024.3382618openalex-snapshot

Joint Training on Multiple Datasets With Inconsistent Labeling Criteria for Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2024.3454988openalex-snapshot

JADFER: Exploring Spatial-Contextual Interaction With Joint Attention Dropping for Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2024.3470980openalex-snapshot

SimFLE: Simple Facial Landmark Encoding for Self-Supervised Facial Expression Recognition in the Wild

inferred← citeshttps://doi.org/10.1109/taffc.2024.3491106openalex-snapshot

Class Activation Regularization-Based Facial Emotion Recognition Network and its Application in Students’ Emotional Engagement Assessment

inferred← citeshttps://doi.org/10.1109/taffc.2025.3549017openalex-snapshot

ReSup: Reliable Label Noise Suppression for Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2025.3558884openalex-snapshot

DDL: Dynamic Direction Learning for Semi-Supervised Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2026.3683177openalex-snapshot

Label Distribution Learning for Facial Expression Recognition Based on Multi-Granularity Perception

inferred← citeshttps://doi.org/10.1109/tbdata.2024.3442562openalex-snapshot

Domain Adaptation for Label Distribution Learning

inferred← citeshttps://doi.org/10.1109/tbiom.2024.3435498openalex-snapshot

Diving Into Sample Selection for Facial Expression Recognition With Noisy Annotations

inferred← citeshttps://doi.org/10.1109/tbiom.2024.3454975openalex-snapshot

Facial Expression Recognition Based on Feature Representation Learning and Clustering-Based Attention Mechanism

inferred← citeshttps://doi.org/10.1109/tcds.2025.3605921openalex-snapshot

Semantic and Instance Information Interactive Mining for Semisupervised Deep Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/tcsvt.2023.3234312openalex-snapshot

Multi-Relations Aware Network for In-the-Wild Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3600067openalex-snapshot

Tail-Aware Reconstruction of Incomplete Label Distributions With Low-Rank and Sparse Modeling

inferred← citeshttps://doi.org/10.1109/tetci.2021.3070713openalex-snapshot

Attend to Where and When: Cascaded Attention Network for Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/tetci.2022.3231655openalex-snapshot

Multi-Label Feature Selection via Label Enhancement and Analytic Hierarchy Process

inferred← citeshttps://doi.org/10.1109/tfuzz.2024.3399617openalex-snapshot

Feature Selection for Handling Label Ambiguity Using Weighted Label-Fuzzy Relevancy and Redundancy

inferred← citeshttps://doi.org/10.1109/tifs.2022.3204219openalex-snapshot

Label Distribution Learning for Generalizable Multi-Source Person Re-Identification

inferred← citeshttps://doi.org/10.1109/tii.2024.3431640openalex-snapshot

MMATrans: Muscle Movement Aware Representation Learning for Facial Expression Recognition via Transformers

inferred← citeshttps://doi.org/10.1109/tim.2024.3375987openalex-snapshot

Lensless Sensing of Facial Expression by Transforming Spectral Attention Features

inferred← citeshttps://doi.org/10.1109/tip.2021.3093397openalex-snapshot

Learning Deep Global Multi-Scale and Local Attention Features for Facial Expression Recognition in the Wild

inferred← citeshttps://doi.org/10.1109/tip.2022.3163544openalex-snapshot

Probabilistic Temporal Modeling for Unintentional Action Localization

inferred← citeshttps://doi.org/10.1109/tip.2022.3186536openalex-snapshot

CRS-CONT: A Well-Trained General Encoder for Facial Expression Analysis

inferred← citeshttps://doi.org/10.1109/tip.2023.3290520openalex-snapshot

Facial Expression Recognition on the High Aggregation Subgraphs

inferred← citeshttps://doi.org/10.1109/tkde.2022.3177246openalex-snapshot

Hierarchical Feature Selection Based on Label Distribution Learning

inferred← citeshttps://doi.org/10.1109/tkde.2022.3232482openalex-snapshot

Multi-View Partial Multi-Label Learning via Graph-Fusion-Based Label Enhancement

inferred← citeshttps://doi.org/10.1109/tmm.2023.3301209openalex-snapshot

Uncertain Facial Expression Recognition via Multi-Task Assisted Correction

inferred← citeshttps://doi.org/10.1109/tmm.2023.3347849openalex-snapshot

DR-FER: Discriminative and Robust Representation Learning for Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/tmm.2024.3521788openalex-snapshot

FER-Former: Multimodal Transformer for Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/tmm.2025.3535327openalex-snapshot

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

inferred← citeshttps://doi.org/10.1109/tmm.2025.3543029openalex-snapshot

Facial Expression Recognition With Heatmap Neighbor Contrastive Learning

inferred← citeshttps://doi.org/10.1109/tmm.2026.3672285openalex-snapshot

PEGCL: Pseudo-Entropy Guided Complementary Learning for Robust Facial Expression Recognition Under Label Noise

inferred← citeshttps://doi.org/10.1109/tnnls.2021.3125366openalex-snapshot

Progressive Enhancement of Label Distributions for Partial Multilabel Learning

inferred← citeshttps://doi.org/10.1109/tnnls.2022.3162316openalex-snapshot

Trusted-Data-Guided Label Enhancement on Noisy Labels

inferred← citeshttps://doi.org/10.1109/tnnls.2023.3297261openalex-snapshot

Large Margin Weighted k-Nearest Neighbors Label Distribution Learning for Classification

inferred← citeshttps://doi.org/10.1109/tnnls.2023.3329870openalex-snapshot

Instance-Dependent Inaccurate Label Distribution Learning

inferred← citeshttps://doi.org/10.1109/tnse.2021.3083739openalex-snapshot

Auto-FERNet: A Facial Expression Recognition Network With Architecture Search

inferred← citeshttps://doi.org/10.1109/tpami.2022.3203678openalex-snapshot

Variational Label Enhancement

inferred← citeshttps://doi.org/10.1109/wacv56688.2023.00603openalex-snapshot

Uncertainty-aware Label Distribution Learning for Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/wacv57701.2024.00581openalex-snapshot

RMFER: Semi-supervised Contrastive Learning for Facial Expression Recognition with Reaction Mashup Video

inferred← citeshttps://doi.org/10.1111/exsy.13724openalex-snapshot

Label distribution learning for compound facial expression recognition in‐the‐wild: A comparative study

inferred← citeshttps://doi.org/10.1142/s0218001422560134openalex-snapshot

Regional Self-Attention Convolutional Neural Network for Facial Expression Recognition

inferred← citeshttps://doi.org/10.1145/3462244.3479891openalex-snapshot

Improving the Movement Synchrony Estimation with Action Quality Assessment in Children Play Therapy

inferred← citeshttps://doi.org/10.1145/3476098.3485054openalex-snapshot

Incomplete Label Distribution Learning by Exploiting Global Sample Correlation

inferred← citeshttps://doi.org/10.1145/3488933.3489006openalex-snapshot

Deep Facial Expression Recognition Algorithm Combining Channel Attention

inferred← citeshttps://doi.org/10.1145/3503161.3547960openalex-snapshot

Self-Paced Label Distribution Learning for In-The-Wild Facial Expression Recognition

inferred← citeshttps://doi.org/10.1145/3503161.3548005openalex-snapshot

EASE: Robust Facial Expression Recognition via Emotion Ambiguity-SEnsitive Cooperative Networks

inferred← citeshttps://doi.org/10.1145/3581783.3611702openalex-snapshot

Learning from More: Combating Uncertainty Cross-multidomain for Facial Expression Recognition

inferred← citeshttps://doi.org/10.1145/3592686.3592726openalex-snapshot

Lightweight Facial Expression Recognition Network with Dynamic Deep Mutual Learning

inferred← citeshttps://doi.org/10.1145/3633637.3633678openalex-snapshot

Adaptive Fusion Attention Network for Facial Expression Recognition

inferred← citeshttps://doi.org/10.1145/3640115.3640175openalex-snapshot

Overcoming Occlusion for Robust Facial Expression Recognition using Adaptive Dual-Attention Net

inferred← citeshttps://doi.org/10.1145/3664647.3680623openalex-snapshot

Two in One Go: Single-stage Emotion Recognition with Decoupled Subject-context Transformer

inferred← citeshttps://doi.org/10.1145/3671151.3671321openalex-snapshot

EFECNet: Efficient infrared facial expression classification via Gaussian label distribution and graph neural network

inferred← citeshttps://doi.org/10.1145/3744571openalex-snapshot

Interactive Fusion Label Enhancement for Multi-Label Learning

inferred← citeshttps://doi.org/10.1155/js/9737734openalex-snapshot

Spiking Broad Learning System for Facial Expression Recognition in the Wild

inferred← citeshttps://doi.org/10.11591/ijeecs.v31.i3.pp1754-1762openalex-snapshot

Investigation into facial expression recognition methods: a review

inferred← citeshttps://doi.org/10.1186/s13073-023-01248-6openalex-snapshot

DeepGAMI: deep biologically guided auxiliary learning for multimodal integration and imputation to improve genotype–phenotype prediction

inferred← citeshttps://doi.org/10.12677/csa.2026.162067openalex-snapshot

Uncertainty-Aware Learning for Robust Facial Expression Recognition Method

inferred← citeshttps://doi.org/10.1609/aaai.v35i1.16158openalex-snapshot

Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification

inferred← citeshttps://doi.org/10.1609/aaai.v35i4.16465openalex-snapshot

Robust Lightweight Facial Expression Recognition Network with Label Distribution Training

inferred← citeshttps://doi.org/10.1609/aaai.v38i11.29156openalex-snapshot

Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks

inferred← citeshttps://doi.org/10.1609/aaai.v38i11.29194openalex-snapshot

GLDL: Graph Label Distribution Learning

inferred← citeshttps://doi.org/10.1609/aaai.v38i14.29519openalex-snapshot

Distilling Reliable Knowledge for Instance-Dependent Partial Label Learning

inferred← citeshttps://doi.org/10.2139/ssrn.5126838openalex-snapshot

Mhan: Multi-Head Hybrid Attention Networks for Facial Expression Recognition

inferred← citeshttps://doi.org/10.2139/ssrn.5142684openalex-snapshot

A Lightweight Method Based on Wavelet Channel Attention Mechanism and Knowledge Distillation for Facial Expression Recognition

inferred← citeshttps://doi.org/10.23919/ccc55666.2022.9901738openalex-snapshot

Amending Facial Expression Representation via De-albino

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