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Context-Aware Emotion Recognition Networks

https://doi.org/10.1109/iccv.2019.01024

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What this work says

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

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COCO Attributes: Attributes for People, Animals, and Objects

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Recognizing Affective Dimensions from Body Posture

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Challenges in Representation Learning: A Report on Three Machine Learning Contests

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

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AFEW-VA database for valence and arousal estimation in-the-wild

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Recognizing emotions expressed by body pose: A biologically inspired neural model

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The role of the parahippocampal cortex in cognition

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Developing multimodal intelligent affective interfaces for tele-home health care

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ImageNet: A large-scale hierarchical image database

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Learning active facial patches for expression analysis

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Large-Scale Video Classification with Convolutional Neural Networks

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Learning Deep Features for Discriminative Localization

inferredcites →https://doi.org/10.1109/cvpr.2016.386openalex-snapshot

Track and Transfer: Watching Videos to Simulate Strong Human Supervision for Weakly-Supervised Object Detection

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.2017.212openalex-snapshot

Emotion Recognition in Context

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.2018.00745openalex-snapshot

Squeeze-and-Excitation Networks

inferredcites →https://doi.org/10.1109/cvpr.2018.00791openalex-snapshot

Weakly Supervised Coupled Networks for Visual Sentiment Analysis

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/cvprw.2016.188openalex-snapshot

Facial Expression Recognition from World Wild Web

inferredcites →https://doi.org/10.1109/icassp.2018.8461920openalex-snapshot

Spatiotemporal Attention Based Deep Neural Networks for Emotion Recognition

inferredcites →https://doi.org/10.1109/iccv.2015.510openalex-snapshot

Learning Spatiotemporal Features with 3D Convolutional Networks

inferredcites →https://doi.org/10.1109/iccv.2017.74openalex-snapshot

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

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

inferredcites →https://doi.org/10.1109/icme.2005.1521424openalex-snapshot

Web-Based Database for Facial Expression Analysis

inferredcites →https://doi.org/10.1109/mis.2007.79openalex-snapshot

Toward an Affect-Sensitive AutoTutor

inferredcites →https://doi.org/10.1109/mmul.2012.26openalex-snapshot

Collecting Large, Richly Annotated Facial-Expression Databases from Movies

inferredcites →https://doi.org/10.1109/t-affc.2011.6openalex-snapshot

Experience-Driven Procedural Content Generation

inferredcites →https://doi.org/10.1109/t-affc.2011.9openalex-snapshot

Continuous Prediction of Spontaneous Affect from Multiple Cues and Modalities in Valence-Arousal Space

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.2014.2375634openalex-snapshot

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

inferredcites →https://doi.org/10.1109/tip.2018.2878325openalex-snapshot

Unified Confidence Estimation Networks for Robust Stereo Matching

inferredcites →https://doi.org/10.1109/tip.2018.2886767openalex-snapshot

Occlusion Aware Facial Expression Recognition Using CNN With Attention Mechanism

inferredcites →https://doi.org/10.1109/tpami.2019.2913372openalex-snapshot

Squeeze-and-Excitation Networks

inferredcites →https://doi.org/10.1109/tsmcb.2010.2103557openalex-snapshot

Automatic Recognition of Non-Acted Affective Postures

inferredcites →https://doi.org/10.1145/2393347.2396296openalex-snapshot

Context-aware affective images classification based on bilayer sparse representation

inferredcites →https://doi.org/10.1145/2964284.2967196openalex-snapshot

Emotion in Context

inferredcites →https://doi.org/10.1145/2993148.2997632openalex-snapshot

Video-based emotion recognition using CNN-RNN and C3D hybrid networks

inferredcites →https://doi.org/10.1145/2993148.2997638openalex-snapshot

EmotiW 2016: video and group-level emotion recognition challenges

inferredcites →https://doi.org/10.1145/3065386openalex-snapshot

ImageNet classification with deep convolutional neural networks

inferredcites →https://doi.org/10.1145/3136755.3143009openalex-snapshot

Learning supervised scoring ensemble for emotion recognition in the wild

inferredcites →https://doi.org/10.1145/3136755.3143011openalex-snapshot

Temporal multimodal fusion for video emotion classification in the wild

inferredcites →https://doi.org/10.1177/0963721411422522openalex-snapshot

Context in Emotion Perception

inferredcites →https://doi.org/10.1609/aaai.v28i1.8724openalex-snapshot

Predicting Emotions in User-Generated Videos

inferredcites →https://doi.org/10.1609/aaai.v31i1.10501openalex-snapshot

Visual Sentiment Analysis by Attending on Local Image Regions

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.1511.04119openalex-snapshot

Action Recognition using Visual Attention

inferredcites →https://doi.org/10.48550/arxiv.1807.06521openalex-snapshot

CBAM: Convolutional Block Attention Module

inferredcites →https://doi.org/10.5555/1577069.1755843openalex-snapshot

Dlib-ml: A Machine Learning Toolkit

What points at this work

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

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Method of Multi-Label Visual Emotion Recognition Fusing Fore-Background Features and Relations Among Different Emotions

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Facial Expression Recognition by Deep Learning Models Using Multiple Datasets

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A Survey on Automatic Multimodal Emotion Recognition in the Wild

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A Dynamic Emotion Recognition System Based on Convolutional Feature Extraction and Recurrent Neural Network

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Emotion Recognition for Multiple Context Awareness

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CelebV-HQ: A Large-Scale Video Facial Attributes Dataset

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PERI: Part Aware Emotion Recognition in the Wild

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CERDL: Contextual Emotion Recognition Analysis Using Deep Learning

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Context Awareness in Recognition of Affective States: A Systematic Mapping of the Literature

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Graph Reasoning-Based Emotion Recognition Network

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Context-Aware Emotion Recognition Based on Visual Relationship Detection

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Cross-Modality Learning by Exploring Modality Interactions for Emotion Reasoning

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Enhancing Accuracy of Face Recognition in Occluded Scenarios With Occlusion-Aware Module-Based Network

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Facial Emotion Recognition (FER) Through Custom Lightweight CNN Model: Performance Evaluation in Public Datasets

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Scalable Context-Based Facial Emotion Recognition Using Facial Landmarks and Attention Mechanism

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The Effective Evaluation of Emotions in the Visual Emotion Images Using Convolutional Neural Networks

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Context Unlocks Emotions: Text-based Emotion Classification Dataset Auditing with Large Language Models

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Facial Expressions and Body Postures Emotion Recognition based on Convolutional Attention Network

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Geometric-Aware Facial Landmark Emotion Recognition

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A Graph Convolutional Network for Emotion Recognition in Context

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Progressive Modality Reinforcement for Human Multimodal Emotion Recognition from Unaligned Multimodal Sequences

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How You Feelin’? Learning Emotions and Mental States in Movie Scenes

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Rethinking the Learning Paradigm for Dynamic Facial Expression Recognition

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Weakly Supervised Video Emotion Detection and Prediction via Cross-Modal Temporal Erasing Network

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Learning Emotion Representations from Verbal and Nonverbal Communication

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Context De-Confounded Emotion Recognition

inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.01183openalex-snapshot

Robust Emotion Recognition in Context Debiasing

inferred← citeshttps://doi.org/10.1109/cvprw50498.2020.00211openalex-snapshot

Discriminant Distribution-Agnostic Loss for Facial Expression Recognition in the Wild

inferred← citeshttps://doi.org/10.1109/cvprw56347.2022.00261openalex-snapshot

Valence and Arousal Estimation based on Multimodal Temporal-Aware Features for Videos in the Wild

inferred← citeshttps://doi.org/10.1109/cvprw56347.2022.00511openalex-snapshot

M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation

inferred← citeshttps://doi.org/10.1109/cvprw59228.2023.00038openalex-snapshot

High-level context representation for emotion recognition in images

inferred← citeshttps://doi.org/10.1109/cvprw59228.2023.00602openalex-snapshot

Frame Level Emotion Guided Dynamic Facial Expression Recognition with Emotion Grouping

inferred← citeshttps://doi.org/10.1109/cvprw63382.2024.00463openalex-snapshot

Multi-Task Multi-Modal Self-Supervised Learning for Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/cvprw67362.2025.00515openalex-snapshot

Why We Feel: Breaking Boundaries in Emotional Reasoning with Multimodal Large Language Models

inferred← citeshttps://doi.org/10.1109/eeite69609.2026.11679711openalex-snapshot

AI-Enabled, Real-Time Face Emotion Recognition on the Edge for THB Detection

inferred← citeshttps://doi.org/10.1109/eibdct69742.2026.11566881openalex-snapshot

Rex-Facial-Net-150: A Dual-Branch MetricConstrained Network with Spatial Attention for Robust Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/fg47880.2020.00056openalex-snapshot

Two-Stream Aural-Visual Affect Analysis in the Wild

inferred← citeshttps://doi.org/10.1109/fg52635.2021.9666935openalex-snapshot

Two-stream Gabor-AGraph Convolutional Networks for Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/fg52635.2021.9666957openalex-snapshot

Leveraging Semantic Scene Characteristics and Multi-Stream Convolutional Architectures in a Contextual Approach for Video-Based Visual Emotion Recognition in the Wild

inferred← citeshttps://doi.org/10.1109/fg52635.2021.9666982openalex-snapshot

Toward Personalized Emotion Recognition: A Face Recognition Based Attention Method for Facial Emotion Recognition

inferred← citeshttps://doi.org/10.1109/fg52635.2021.9667034openalex-snapshot

Contextual Emotion Learning Challenge

inferred← citeshttps://doi.org/10.1109/fg57933.2023.10042805openalex-snapshot

Analyzing the Impact of Shape & Context on the Face Recognition Performance of Deep Networks

inferred← citeshttps://doi.org/10.1109/fg61629.2025.11099210openalex-snapshot

Salience Adjustment for Context-Based Emotion Recognition

inferred← citeshttps://doi.org/10.1109/icac2n63387.2024.10895548openalex-snapshot

Emotion Recognition in Context using different Transfer Learning Model

inferred← citeshttps://doi.org/10.1109/icairc64177.2024.10900186openalex-snapshot

Evaluation of Emotions in Artworks using EfficientNet Convolutional Network Integrating the Gram Matrix Modules

inferred← citeshttps://doi.org/10.1109/icarm62033.2024.10715789openalex-snapshot

Context-aware Emotion Recognition Based on Vision-Language Pre-trained Model

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10095728openalex-snapshot

Contextually-Rich Human Affect Perception Using Multimodal Scene Information

inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10889152openalex-snapshot

Hierarchical Context Interaction and Reasoning with Transformer for Emotion Recognition

inferred← citeshttps://doi.org/10.1109/iccccm61016.2024.11039925openalex-snapshot

EmoRoBERTa-base: Enhancing Mental Well-being through Emotional Analysis and Personalized Recommendations

inferred← citeshttps://doi.org/10.1109/iccv51070.2023.01883openalex-snapshot

Most Important Person-guided Dual-branch Cross-Patch Attention for Group Affect Recognition

inferred← citeshttps://doi.org/10.1109/iccv51070.2023.01899openalex-snapshot

ReactioNet: Learning High-order Facial Behavior from Universal Stimulus-Reaction by Dyadic Relation Reasoning

inferred← citeshttps://doi.org/10.1109/iccv51701.2025.01059openalex-snapshot

ContextFace: Generating Facial Expressions from Emotional Contexts

inferred← citeshttps://doi.org/10.1109/iccvw54120.2021.00403openalex-snapshot

Emotion Recognition Based on Body and Context Fusion in the Wild

inferred← citeshttps://doi.org/10.1109/iccvw54120.2021.00404openalex-snapshot

Public Life in Public Space (PLPS): A multi-task, multi-group video dataset for public life research

inferred← citeshttps://doi.org/10.1109/icdmw65004.2024.00069openalex-snapshot

Evaluating Vision Language Models in Detecting Learning Engagement

inferred← citeshttps://doi.org/10.1109/icdsaai65575.2025.11011864openalex-snapshot

AI Pioneering Ethical, Analytical and Real time Emotional Recognition in Dynamic Human Expressions

inferred← citeshttps://doi.org/10.1109/icict50816.2021.9358800openalex-snapshot

Attention Mechanism and Feature Correction Fusion Model for Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/iciea54703.2022.10005917openalex-snapshot

Context Based Vision Emotion Recognition in the Wild

inferred← citeshttps://doi.org/10.1109/icip49359.2023.10221960openalex-snapshot

Context-Aware Multi-Stream Networks for Dimensional Emotion Prediction in Images

inferred← citeshttps://doi.org/10.1109/icme52920.2022.9859687openalex-snapshot

D2S: Dynamic Distribution Supervision for Multi-Label Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/icme59968.2025.11209072openalex-snapshot

Beyond Statistical Correlation: Causal Insights into Emotion Recognition

inferred← citeshttps://doi.org/10.1109/icpads60453.2023.00414openalex-snapshot

A Research on Emotion Recognition in Conversations Based on Hierarchical Networks and Commonsense Knowledge

inferred← citeshttps://doi.org/10.1109/icpr56361.2022.9956403openalex-snapshot

EmotionAlBERTo: Emotion Recognition of Italian Social Media Texts Through BERT

inferred← citeshttps://doi.org/10.1109/icsai65059.2024.10893732openalex-snapshot

Emotion Recognition and Analysis in Gamified Education Contexts for Higher Vocational Students

inferred← citeshttps://doi.org/10.1109/icsp62122.2024.10743836openalex-snapshot

DFLM: A Dynamic Facial-Language Model Based on CLIP

inferred← citeshttps://doi.org/10.1109/ijcb52358.2021.9484370openalex-snapshot

Sequential Interactive Biased Network for Context-Aware Emotion Recognition

inferred← citeshttps://doi.org/10.1109/ijcnn52387.2021.9533473openalex-snapshot

Context-Aware Based Visual-Audio Feature Fusion for Emotion Recognition

inferred← citeshttps://doi.org/10.1109/ijcnn52387.2021.9533637openalex-snapshot

Boosting Emotion Recognition in Context using Non-target Subject Information

inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11227260openalex-snapshot

VLLMs Provide Better Context for Emotion Understanding Through Common Sense Reasoning

inferred← citeshttps://doi.org/10.1109/insai60116.2023.00043openalex-snapshot

Coarse-To-Fine Key Frame Selection for Dynamic Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/iros58592.2024.10801375openalex-snapshot

MLPER: Multi-Level Prompts for Adaptively Enhancing Vision-Language Emotion Recognition

inferred← citeshttps://doi.org/10.1109/iros58592.2024.10802538openalex-snapshot

Contextual Emotion Recognition using Large Vision Language Models

inferred← citeshttps://doi.org/10.1109/iscas46773.2023.10181844openalex-snapshot

SeLiNet: Sentiment enriched Lightweight Network for Emotion Recognition in Images

inferred← citeshttps://doi.org/10.1109/iscslp63861.2024.10800234openalex-snapshot

Improving Emotion Recognition with Pre-Trained Models, Multimodality, and Contextual Information

inferred← citeshttps://doi.org/10.1109/ispa67752.2025.00083openalex-snapshot

MICACL: Multi-Instance Category-Aware Contrastive Learning for Long-Tailed Dynamic Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/jbhi.2022.3199575openalex-snapshot

Mental Status Detection for Schizophrenia Patients via Deep Visual Perception

inferred← citeshttps://doi.org/10.1109/jiot.2021.3079304openalex-snapshot

MEC-Enabled Hierarchical Emotion Recognition and Perturbation-Aware Defense in Smart Cities

inferred← citeshttps://doi.org/10.1109/jproc.2020.3047978openalex-snapshot

Computational Media Intelligence: Human-Centered Machine Analysis of Media

inferred← citeshttps://doi.org/10.1109/jproc.2023.3273517openalex-snapshot

Unlocking the Emotional World of Visual Media: An Overview of the Science, Research, and Impact of Understanding Emotion

inferred← citeshttps://doi.org/10.1109/la-cci58595.2023.10409332openalex-snapshot

Leveraging Previous Facial Action Units Knowledge for Emotion Recognition on Faces

inferred← citeshttps://doi.org/10.1109/mmul.2021.3068387openalex-snapshot

Multimodal and Context-Aware Emotion Perception Model With Multiplicative Fusion

inferred← citeshttps://doi.org/10.1109/mmul.2021.3071495openalex-snapshot

Implicit Emotion Relationship Mining Based on Optimal and Majority Synthesis From Multimodal Data Prediction

inferred← citeshttps://doi.org/10.1109/nics51282.2020.9335879openalex-snapshot

Facial Expression Recognition in the Wild: Efficiency of Modified-Category and Ensemble Learning Methods

inferred← citeshttps://doi.org/10.1109/raeeucci67649.2026.11504609openalex-snapshot

Improving Accuracy in Emotion-Action Integrated AI Models: A Hybrid Neural-Symbolic Approach

inferred← citeshttps://doi.org/10.1109/ro-man63969.2025.11217904openalex-snapshot

Fusion in Context: A Multimodal Approach to Affective State Recognition

inferred← citeshttps://doi.org/10.1109/ro-man72286.2026.11714954openalex-snapshot

Human–Object Interaction as Affective Evidence for Multimodal Emotion Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2021.3064918openalex-snapshot

Human Emotion Recognition With Relational Region-Level Analysis

inferred← citeshttps://doi.org/10.1109/taffc.2021.3071131openalex-snapshot

Emotional Attention Detection and Correlation Exploration for Image Emotion Distribution Learning

inferred← citeshttps://doi.org/10.1109/taffc.2021.3100352openalex-snapshot

Facial Expression Animation by Landmark Guided Residual Module

inferred← citeshttps://doi.org/10.1109/taffc.2022.3181736openalex-snapshot

Spatial-Temporal Graphs Plus Transformers for Geometry-Guided Facial Expression Recognition

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.2022.3221554openalex-snapshot

MMPosE: Movie-Induced Multi-Label Positive Emotion Classification Through EEG Signals

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.2025.3530973openalex-snapshot

Modeling Fine-Grained Relations in Dynamic Space-Time Graphs for Video-Based Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2025.3535811openalex-snapshot

CSE-GResNet: A Simple and Highly Efficient Network for Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2026.3664341openalex-snapshot

CMCRD: Cross-Modal Contrastive Representation Distillation for Emotion Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2026.3680134openalex-snapshot

Video-Based Cross-Domain Emotion Recognition via Sample-Graph Relations Self-Distillation

inferred← citeshttps://doi.org/10.1109/taffc.2026.3682324openalex-snapshot

Emotion Recognition From Physiological Responses: Accessibility and Usability of Publicly Available Datasets

inferred← citeshttps://doi.org/10.1109/taffc.2026.3688789openalex-snapshot

Context Effect Guided Multi-Source Awareness Framework for Dynamic Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/tai.2021.3120043openalex-snapshot

Smoothed Generalized Dirichlet: A Novel Count-Data Model for Detecting Emotional States

inferred← citeshttps://doi.org/10.1109/tcsvt.2023.3312858openalex-snapshot

Transformer-Based Multimodal Emotional Perception for Dynamic Facial Expression Recognition in the Wild

inferred← citeshttps://doi.org/10.1109/tcsvt.2024.3358415openalex-snapshot

Benchmarking Micro-Action Recognition: Dataset, Methods, and Applications

inferred← citeshttps://doi.org/10.1109/tcsvt.2024.3362270openalex-snapshot

A Versatile Multimodal Learning Framework for Zero-Shot Emotion Recognition

inferred← citeshttps://doi.org/10.1109/tcsvt.2024.3450652openalex-snapshot

CFAN-SDA: Coarse-Fine Aware Network With Static-Dynamic Adaptation for Facial Expression Recognition in Videos

inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3527010openalex-snapshot

Co-Dance With Ambiguity: An Ambiguity-Aware Facial Expression Recognition Framework for More Robustness

inferred← citeshttps://doi.org/10.1109/tcsvt.2026.3669214openalex-snapshot

Lightweight and Personalized Single-Eye Emotion Recognition via CNN-SNN Spatiotemporal Learning and Memory-Inferred Event Features

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/tim.2022.3166147openalex-snapshot

Residual 3-D Scene Flow Learning With Context-Aware Feature Extraction

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.2025.3587577openalex-snapshot

UniEmoX: Cross-Modal Semantic-Guided Large-Scale Pretraining for Universal Scene Emotion Perception

inferred← citeshttps://doi.org/10.1109/tip.2025.3649363openalex-snapshot

Subjective-Objective Emotion-Correlated Generation Network for Subjective Video Captioning

inferred← citeshttps://doi.org/10.1109/tits.2023.3333749openalex-snapshot

Audiovisual Affect Recognition for Autonomous Vehicles: Applications and Future Agendas

inferred← citeshttps://doi.org/10.1109/tmm.2020.3003648openalex-snapshot

LD-MAN: Layout-Driven Multimodal Attention Network for Online News Sentiment Recognition

inferred← citeshttps://doi.org/10.1109/tmm.2020.3007352openalex-snapshot

Weakly Supervised Emotion Intensity Prediction for Recognition of Emotions in Images

inferred← citeshttps://doi.org/10.1109/tmm.2021.3059169openalex-snapshot

Dynamic Emotion Modeling With Learnable Graphs and Graph Inception Network

inferred← citeshttps://doi.org/10.1109/tmm.2022.3144804openalex-snapshot

Multiscale Emotion Representation Learning for Affective Image Recognition

inferred← citeshttps://doi.org/10.1109/tmm.2023.3304015openalex-snapshot

EMERSK -Explainable Multimodal Emotion Recognition With Situational Knowledge

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