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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-319-46478-7_31openalex-snapshot

A Discriminative Feature Learning Approach for Deep Face Recognition

inferredcites →https://doi.org/10.1007/978-3-642-15567-3_36openalex-snapshot

Emotion Recognition from Arbitrary View Facial Images

inferredcites →https://doi.org/10.1007/s11263-019-01158-4openalex-snapshot

Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond

inferredcites →https://doi.org/10.1007/s11704-016-6076-3openalex-snapshot

VIPLFaceNet: an open source deep face recognition SDK

inferredcites →https://doi.org/10.1016/j.imavis.2017.02.001openalex-snapshot

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

inferredcites →https://doi.org/10.1017/cbo9780511694110openalex-snapshot

The Expression of the Emotions in Man and Animals

inferredcites →https://doi.org/10.1037/10001-000openalex-snapshot

The expression of the emotions in man and animals.

inferredcites →https://doi.org/10.1037/h0030377openalex-snapshot

Constants across cultures in the face and emotion.

inferredcites →https://doi.org/10.1037/h0031619openalex-snapshot

Measuring nominal scale agreement among many raters.

inferredcites →https://doi.org/10.1049/cp:19991218openalex-snapshot

Learning to forget: continual prediction with LSTM

inferredcites →https://doi.org/10.1109/cvpr.2011.5995345openalex-snapshot

Towards a practical lipreading system

inferredcites →https://doi.org/10.1109/cvpr.2014.223openalex-snapshot

Large-Scale Video Classification with Convolutional Neural Networks

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.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.2018.00675openalex-snapshot

A Closer Look at Spatiotemporal Convolutions for Action 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.2017.590openalex-snapshot

Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks

inferredcites →https://doi.org/10.1109/iccv.2019.01024openalex-snapshot

Context-Aware Emotion Recognition Networks

inferredcites →https://doi.org/10.1109/iccvw.2017.373openalex-snapshot

Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition

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.2010.8openalex-snapshot

Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies

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/taffc.2020.2988264openalex-snapshot

Facial Expression Recognition With Deeply-Supervised Attention Network

inferredcites →https://doi.org/10.1109/tip.2018.2868382openalex-snapshot

Reliable Crowdsourcing and Deep Locality-Preserving Learning for Unconstrained Facial Expression Recognition

inferredcites →https://doi.org/10.1109/tnn.2005.860849openalex-snapshot

Facial Expression Recognition Using Kernel Canonical Correlation Analysis (KCCA)

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.2013.173openalex-snapshot

A Compact Representation of Visual Speech Data Using Latent Variables

inferredcites →https://doi.org/10.1109/tpami.2019.2901464openalex-snapshot

Moments in Time Dataset: One Million Videos for Event Understanding

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

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

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

Learning supervised scoring ensemble for emotion recognition in the wild

inferredcites →https://doi.org/10.1145/3242969.3264978openalex-snapshot

Video-based Emotion Recognition Using Deeply-Supervised Neural Networks

inferredcites →https://doi.org/10.1145/3242969.3264989openalex-snapshot

Multi-Feature Based Emotion Recognition for Video Clips

inferredcites →https://doi.org/10.1145/3242969.3264992openalex-snapshot

Multiple Spatio-temporal Feature Learning for Video-based Emotion Recognition in the Wild

inferredcites →https://doi.org/10.1145/3340555.3355710openalex-snapshot

EmotiW 2019: Automatic Emotion, Engagement and Cohesion Prediction Tasks

inferredcites →https://doi.org/10.1145/3343031.3351049openalex-snapshot

Occluded Facial Expression Recognition Enhanced through Privileged Information

inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot

Long Short-Term Memory

inferredcites →https://doi.org/10.48550/arxiv.1212.0402openalex-snapshot

UCF-101: A dataset of 101 human actions classes from videos in the wild

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

Very Deep Convolutional Networks for Large-Scale Image Recognition

inferredcites →https://doi.org/10.5555/2627435.2697068openalex-snapshot

Accelerating t-SNE using tree-based algorithms

inferredcites →https://doi.org/10.5555/3143567.3143655openalex-snapshot

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

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.4768851openalex-extracted

Noise-Reduced Dynamic Face Expression Identification with Frame-Level Attention and Global-Segment-Level Recognition

inferred← citeshttps://doi.org/10.1007/978-3-031-16078-3_8openalex-snapshot

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

inferred← citeshttps://doi.org/10.1007/978-3-031-44210-0_20openalex-snapshot

Dynamic Facial Expression Recognition in Unconstrained Real-World Scenarios Leveraging Dempster-Shafer Evidence Theory

inferred← citeshttps://doi.org/10.1007/978-3-031-50269-9_1openalex-snapshot

Models of Human Emotion and Artificial Emotional Intelligence

inferred← citeshttps://doi.org/10.1007/978-3-031-51023-6_22openalex-snapshot

Video-Based Emotion Estimation Using Deep Neural Networks: A Comparative Study

inferred← citeshttps://doi.org/10.1007/978-3-031-53308-2_4openalex-snapshot

Dynamic-Static Graph Convolutional Network for Video-Based Facial Expression Recognition

inferred← citeshttps://doi.org/10.1007/978-3-031-63821-3_8openalex-snapshot

Visual Emotion Recognition Through Affective Computing

inferred← citeshttps://doi.org/10.1007/978-3-031-72649-1_10openalex-snapshot

Facial Affective Behavior Analysis with Instruction Tuning

inferred← citeshttps://doi.org/10.1007/978-3-031-95918-9_2openalex-snapshot

SunVid: A Curated Online Video Database for Sundown Syndrome Research

inferred← citeshttps://doi.org/10.1007/978-3-032-10185-3_42openalex-snapshot

AGCD-Net: Attention Guided Context Debiasing Network for Emotion Recognition

inferred← citeshttps://doi.org/10.1007/978-3-032-11317-7_6openalex-snapshot

Decoding Facial Expressions in Video: A Multiple Instance Learning Perspective on Action Units

inferred← citeshttps://doi.org/10.1007/978-3-032-36984-0_16openalex-snapshot

FED-Bench: A Cross-Granular Benchmark for Disentangled Evaluation of Facial Expression Editing

inferred← citeshttps://doi.org/10.1007/978-3-032-37020-4_9openalex-snapshot

Why Do Vision Language Models Struggle To Recognize Human Emotions?

inferred← citeshttps://doi.org/10.1007/978-3-032-37038-9_15openalex-snapshot

Benchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset

inferred← citeshttps://doi.org/10.1007/978-3-032-37189-8_1openalex-snapshot

Rethinking Attention Reallocation for Multimodal Emotion Recognition

inferred← citeshttps://doi.org/10.1007/978-3-032-38407-2_3openalex-snapshot

MuEmo-R1: Fine-Grained Multimodal Emotion Reasoning via Acoustic-Facial Grounding

inferred← citeshttps://doi.org/10.1007/978-3-032-38407-2_47openalex-snapshot

Self-supervised Facial Video Recognition with Input Gating for Delirium Classification

inferred← citeshttps://doi.org/10.1007/978-981-92-2864-5_21openalex-snapshot

IGS2-DFER: Intensity-Guided Adaptive-Window Keyframe Sampling with Multi-branch Spectral Channel Attention for Dynamic Facial Expression Recognition

inferred← citeshttps://doi.org/10.1007/978-981-92-3444-8_34openalex-snapshot

EmoThink: Multimodal Emotion Recognition via Active Visual Cognition and Chain-of-Thought Reasoning

inferred← citeshttps://doi.org/10.1007/978-981-95-0009-3_23openalex-snapshot

Sentiment Perception from Tokens: A Multitask Learning Framework with Entropy-Driven Fusion

inferred← citeshttps://doi.org/10.1007/978-981-96-0188-2_11openalex-snapshot

Micro-expression Recognition Based on Apex Frame Selection Strategy and Optical Flow Features

inferred← citeshttps://doi.org/10.1007/978-981-99-8469-5_14openalex-snapshot

Long Short-Term Perception Network for Dynamic Facial Expression Recognition

inferred← citeshttps://doi.org/10.1007/s00371-022-02721-wopenalex-snapshot

STAN: spatiotemporal attention network for video-based facial expression recognition

inferred← citeshttps://doi.org/10.1007/s00371-025-04192-1openalex-snapshot

Enhanced multi-Scale Dynamic Facial Expression Recognition via Conditional Random Fields

inferred← citeshttps://doi.org/10.1007/s00371-026-04499-7openalex-snapshot

Enhancing dynamic facial expression recognition through cooperative spatio-temporal feature learning

inferred← citeshttps://doi.org/10.1007/s10044-024-01302-yopenalex-snapshot

Hierarchical global and local transformer for pain estimation with facial expression videos

inferred← citeshttps://doi.org/10.1007/s10489-026-07195-0openalex-snapshot

DAMT-Former: Dynamic Attention and Multi-scale Temporal Former for Facial Expression Recognition

inferred← citeshttps://doi.org/10.1007/s10586-025-05807-xopenalex-snapshot

Video-based emotion recognition using motion-aware deep hybrid learning

inferred← citeshttps://doi.org/10.1007/s11571-025-10318-xopenalex-snapshot

Construction and evaluation of an emotion-inducing video dataset towards Chinese elderly healthy controls and individuals with mild cognitive impairment

inferred← citeshttps://doi.org/10.1007/s11571-026-10514-3openalex-snapshot

Graph enhanced ContextFusion-EmoNet (CFEN): integrating facial, postural, and environmental cues for emotion recognition in dynamic video scenes

inferred← citeshttps://doi.org/10.1007/s12559-026-10548-zopenalex-snapshot

CLVSR: Concept-Guided Language-Visual Feature Learning and Sample Rebalance for Dynamic Facial Expression Recognition

inferred← citeshttps://doi.org/10.1007/s44163-026-00919-8openalex-snapshot

TSM-Transformer: a hybrid EfficientNetV2-Lite and temporal shift model for facial expression recognition in videos

inferred← citeshttps://doi.org/10.1007/s44196-024-00436-5openalex-snapshot

ViTCN: Hybrid Vision Transformer with Temporal Convolution for Multi-Emotion Recognition

inferred← citeshttps://doi.org/10.1007/s44443-026-00511-1openalex-snapshot

STAR-Former: spatio-temporal adaptive and region-aware transformer for dynamic facial expression recognition

inferred← citeshttps://doi.org/10.1016/j.artmed.2024.102923openalex-snapshot

Vision-based estimation of fatigue and engagement in cognitive training sessions

inferred← citeshttps://doi.org/10.1016/j.asoc.2024.111680openalex-snapshot

A joint local spatial and global temporal CNN-Transformer for dynamic facial expression recognition

inferred← citeshttps://doi.org/10.1016/j.bspc.2023.105316openalex-snapshot

Enhanced spatial-temporal learning network for dynamic facial expression recognition

inferred← citeshttps://doi.org/10.1016/j.comcom.2023.12.032openalex-snapshot

Empower smart cities with sampling-wise dynamic facial expression recognition via frame-sequence contrastive learning

inferred← citeshttps://doi.org/10.1016/j.compeleceng.2024.109125openalex-snapshot

NSNP-DFER: A Nonlinear Spiking Neural P Network for Dynamic Facial Expression Recognition

inferred← citeshttps://doi.org/10.1016/j.cviu.2025.104362openalex-snapshot

A vector quantized masked autoencoder for audiovisual speech emotion recognition

inferred← citeshttps://doi.org/10.1016/j.cviu.2026.104869openalex-snapshot

A video dataset for Multi-Emotion and Interpersonal relation analysis

inferred← citeshttps://doi.org/10.1016/j.engappai.2024.108535openalex-snapshot

Dynamic facial expression recognition based on spatial key-points optimized region feature fusion and temporal self-attention

inferred← citeshttps://doi.org/10.1016/j.eswa.2024.123635openalex-snapshot

Multi-geometry embedded transformer for facial expression recognition in videos

inferred← citeshttps://doi.org/10.1016/j.eswa.2026.133174openalex-snapshot

NEXPRO: Multimodal negative expression prompting for open-set video-based facial expression recognition

inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102367openalex-snapshot

GPT-4V with emotion: A zero-shot benchmark for Generalized Emotion Recognition

inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102382openalex-snapshot

HiCMAE: Hierarchical Contrastive Masked Autoencoder for self-supervised Audio-Visual Emotion Recognition

inferred← citeshttps://doi.org/10.1016/j.ins.2022.03.062openalex-snapshot

Clip-aware expressive feature learning for video-based facial expression recognition

inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116590openalex-snapshot

Compressed video-driven multimodal modeling and interaction for dynamic expression recognition

inferred← citeshttps://doi.org/10.1016/j.neucom.2025.130020openalex-snapshot

Dynamic facial expression recognition in the wild via Multi-Snippet Spatiotemporal Learning

inferred← citeshttps://doi.org/10.1016/j.neucom.2025.130810openalex-snapshot

EmoVerse: Enhancing Multimodal Large Language Models for Affective Computing via Multitask Learning

inferred← citeshttps://doi.org/10.1016/j.neunet.2022.06.024openalex-snapshot

ME-PLAN: A deep prototypical learning with local attention network for dynamic micro-expression recognition

inferred← citeshttps://doi.org/10.1016/j.neunet.2024.106573openalex-snapshot

CDGT: Constructing diverse graph transformers for emotion recognition from facial videos

inferred← citeshttps://doi.org/10.1016/j.specom.2024.103184openalex-snapshot

AMGCN: An adaptive multi-graph convolutional network for speech emotion recognition

inferred← citeshttps://doi.org/10.1016/j.visres.2026.108827openalex-snapshot

Using neural networks to understand static and dynamic cues in facial expression recognition

inferred← citeshttps://doi.org/10.1017/s0954579425100746openalex-snapshot

Prenatal exposure to stressful life events and offspring social cognition across childhood and adolescence

inferred← citeshttps://doi.org/10.1038/s41597-023-02272-2openalex-snapshot

A physiological signal database of children with different special needs for stress recognition

inferred← citeshttps://doi.org/10.1038/s41597-024-04088-0openalex-snapshot

An fMRI dataset in response to large-scale short natural dynamic facial expression videos

inferred← citeshttps://doi.org/10.1038/s41598-026-60089-6openalex-snapshot

A two-stage deep learning approach for facial emotion recognition in RAVDESS videos

inferred← citeshttps://doi.org/10.1049/cit2.70115openalex-snapshot

Dynamic Facial Expression Recognition of Learners via Adaptive Global Attention and Differential Temporal Transformer

inferred← citeshttps://doi.org/10.1049/cvi2.12217openalex-snapshot

Dynamic facial expression recognition with pseudo‐label guided multi‐modal pre‐training

inferred← citeshttps://doi.org/10.1049/itr2.70009openalex-snapshot

An Efficient Illumination‐Invariant Dynamic Facial Expression Recognition for Driving Scenarios

inferred← citeshttps://doi.org/10.1080/09544828.2024.2324400openalex-snapshot

Facial expression recognition: a novel approach to captcha design

inferred← citeshttps://doi.org/10.1080/1206212x.2026.2724099openalex-snapshot

Facial expression recognition in learning environments: a review of deep learning advances, challenges, and future directions

inferred← citeshttps://doi.org/10.1109/access.2023.3246047openalex-snapshot

KTFEv2: Multimodal Facial Emotion Database and its Analysis

inferred← citeshttps://doi.org/10.1109/access.2024.3422480openalex-snapshot

A Comprehensive Survey on Affective Computing: Challenges, Trends, Applications, and Future Directions

inferred← citeshttps://doi.org/10.1109/access.2026.3719773openalex-snapshot

A Review of Reinforcement Learning With Multimodal Large Language Models for Vision-Based Human Activity Recognition

inferred← citeshttps://doi.org/10.1109/aciiw59127.2023.10388094openalex-snapshot

Towards Facial Expression Recognition in Immersive Virtual Reality with EmojiRain

inferred← citeshttps://doi.org/10.1109/apsipaasc63619.2025.10848666openalex-snapshot

Optimization of the Intensity Aware Loss for Dynamic Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/apsipaasc63619.2025.10848828openalex-snapshot

MTFNet: Multi-Scale Transformer Framework for Robust Emotion Monitoring in Group Learning Settings

inferred← citeshttps://doi.org/10.1109/cbmi62980.2024.10858877openalex-snapshot

A Survey on Graph Deep Representation Learning for Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/ccdc55256.2022.10034314openalex-snapshot

GAT-Net: A Network using Grid Attention and Transformer for Dynamic Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/cfis68949.2025.11652359openalex-snapshot

Adapting Vision Transformers with Recurrent Heads for Accurate Dynamic Emotion Recognition

inferred← citeshttps://doi.org/10.1109/cisct62494.2024.11134259openalex-snapshot

Facial Expression Recognition in the Wild: A Comprehensive Study on Datasets, Methods, and Challenges

inferred← citeshttps://doi.org/10.1109/cvidl70130.2026.11637925openalex-snapshot

Emotional Mixture of Experts for Dynamic Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.02025openalex-snapshot

FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos

inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.01722openalex-snapshot

Rethinking the Learning Paradigm for Dynamic Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/cvpr52734.2025.00854openalex-snapshot

AVF-MAE++: Scaling Affective Video Facial Masked Autoencoders via Efficient Audio-Visual Self-Supervised Learning

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/cvprw59228.2023.00617openalex-snapshot

A Dual Branch Network for Emotional Reaction Intensity Estimation

inferred← citeshttps://doi.org/10.1109/cvprw59228.2023.00622openalex-snapshot

Multi-modal Information Fusion for Action Unit Detection in the Wild

inferred← citeshttps://doi.org/10.1109/cvprw59228.2023.00623openalex-snapshot

EVAEF: Ensemble Valence-Arousal Estimation Framework in the Wild

inferred← citeshttps://doi.org/10.1109/cvprw59228.2023.00624openalex-snapshot

Facial Expression Recognition Based on Multi-modal Features for Videos in the Wild

inferred← citeshttps://doi.org/10.1109/cvprw63382.2024.00470openalex-snapshot

MMA-DFER: MultiModal Adaptation of unimodal models for Dynamic Facial Expression Recognition in-the-wild

inferred← citeshttps://doi.org/10.1109/cvprw63382.2024.00472openalex-snapshot

Video Representation Learning for Conversational Facial Expression Recognition Guided by Multiple View Reconstruction

inferred← citeshttps://doi.org/10.1109/cvprw67362.2025.00038openalex-snapshot

FaceGest: A Comprehensive Facial Gesture Dataset for Human-Computer Interaction

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/fg59268.2024.10581905openalex-snapshot

FE-Adapter: Adapting Image-Based Emotion Classifiers to Videos

inferred← citeshttps://doi.org/10.1109/fg61629.2025.11099263openalex-snapshot

Trajectory-guided Motion Perception for Facial Expression Quality Assessment in Neurological Disorders

inferred← citeshttps://doi.org/10.1109/fg67764.2026.11557063openalex-snapshot

CAKE: Context-Aware Kid Emotion In-the-Wild Dataset

inferred← citeshttps://doi.org/10.1109/fllm67465.2025.11391216openalex-snapshot

Auditing Facial Emotion Recognition Datasets for Posed Expressions and Racial Bias

inferred← citeshttps://doi.org/10.1109/icacte66284.2025.11412081openalex-snapshot

A Video Sentiment Analysis Method Based on Improved YOLOv8 and MAE-DFER

inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10446699openalex-snapshot

MSSTNet: A Multi-Scale Spatio-Temporal CNN-Transformer Network for Dynamic Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10095448openalex-snapshot

Logo-Former: Local-Global Spatio-Temporal Transformer for Dynamic Facial Expression Recognition

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/icassp49660.2025.10887942openalex-snapshot

Towards Expressive Video Dubbing with Multiscale Multimodal Context Interaction

inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11462009openalex-snapshot

D2M: Decoupling to Modulate via Emotion Trajectories for Dynamic Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11462946openalex-snapshot

Emotion-Aware Learning with Class-Balanced Optimization for Dynamic Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11463149openalex-snapshot

Phase-Aware State Space Modeling with Fine-Grained Identity Disentanglement for Dynamic Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11465074openalex-snapshot

Bimodal Fusion Framework for Dynamic Facial Expression Recognition In-The-Wild

inferred← citeshttps://doi.org/10.1109/icce-taiwan66881.2025.11208133openalex-snapshot

Enhancing Online Learning Through Dynamic Facial Expression Recognition and Few-Shot Action Recognition

inferred← citeshttps://doi.org/10.1109/iccvw54120.2021.00394openalex-snapshot

Prior Aided Streaming Network for Multi-task Affective Analysis

inferred← citeshttps://doi.org/10.1109/icee70628.2026.11710794openalex-snapshot

Dynamic Facial Expression Recognition Using Vision Transform with GRU-Attention Temporal Head

inferred← citeshttps://doi.org/10.1109/icet62460.2024.10868677openalex-snapshot

Facial variation-aware Learning Transformer for Dynamic Facial Expression Recognition

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/icip55913.2025.11084654openalex-snapshot

Emomamba: Advancing Dynamic Facial Expression Recognition with Visual and Textual Fusion

inferred← citeshttps://doi.org/10.1109/icme57554.2024.10687508openalex-snapshot

CLIPER: A Unified Vision-Language Framework for In-the-Wild Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/icme59968.2025.11208908openalex-snapshot

Multimodal Representation Learning Techniques for Comprehensive Facial State Analysis

inferred← citeshttps://doi.org/10.1109/icme59968.2025.11209787openalex-snapshot

Soften the Mask: Adaptive Temporal Soft Mask for Efficient Dynamic Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/icmew68306.2025.11152165openalex-snapshot

Bridging Cultures: A Framework for Facial Expression and Empathy

inferred← citeshttps://doi.org/10.1109/icpr56361.2022.9956540openalex-snapshot

Seeking Salient Facial Regions for Cross-Database Micro-Expression Recognition

inferred← citeshttps://doi.org/10.1109/icscan66520.2026.11588379openalex-snapshot

Real-Time Facial Emotion Recognition and Psychological Risk Stratification Using a Lightweight Object Detection Framework

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/ijcb62174.2024.10744485openalex-snapshot

CLIP-Guided Bidirectional Prompt and Semantic Supervision for Dynamic Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11227919openalex-snapshot

Emotion-Aware Text Generation for Instructing Audio-Visual Emotion Recognition

inferred← citeshttps://doi.org/10.1109/inocon60754.2024.10512101openalex-snapshot

Facial Expression Recognition in Video Using 3D-CNN Deep Features Discrimination

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/iscas66217.2026.11562963openalex-snapshot

EdgeFER: A Structure-Guided and Hardware-Friendly Framework for Dynamic Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/ispa67752.2025.00032openalex-snapshot

ATOM-Net: Transferring Macro-Expression Muscle Dynamics for Micro-Expression Recognition

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/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/lsp.2024.3456668openalex-snapshot

Fine-Grained Temporal-Enhanced Transformer for Dynamic Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/m2vip62491.2024.10746003openalex-snapshot

Facial Instance Learning for Video-based ASD Diagnosis

inferred← citeshttps://doi.org/10.1109/smc53992.2023.10394270openalex-snapshot

Dynamic Facial Expression Recognition Based on Vision Transformer with Deformable Module

inferred← citeshttps://doi.org/10.1109/taffc.2021.3102245openalex-snapshot

Typical Facial Expression Network Using a Facial Feature Decoupler and Spatial-Temporal Learning

inferred← citeshttps://doi.org/10.1109/taffc.2023.3313782openalex-snapshot

CFEW: A Large-Scale Database for Understanding Child Facial Expression in Real World

inferred← citeshttps://doi.org/10.1109/taffc.2023.3324902openalex-snapshot

HICEM: A High-Coverage Emotion Model for Artificial Emotional Intelligence

inferred← citeshttps://doi.org/10.1109/taffc.2023.3341918openalex-snapshot

DFME: A New Benchmark for Dynamic Facial Micro-Expression Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2024.3436913openalex-snapshot

SVFAP: Self-Supervised Video Facial Affect Perceiver

inferred← citeshttps://doi.org/10.1109/taffc.2024.3440924openalex-snapshot

AVES: An Audio-Visual Emotion Stream Dataset for Temporal Emotion Detection

inferred← citeshttps://doi.org/10.1109/taffc.2024.3453443openalex-snapshot

From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos

inferred← citeshttps://doi.org/10.1109/taffc.2024.3507289openalex-snapshot

Affective Computing Databases: In-Depth Analysis of Systematic Reviews and Surveys

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.2025.3599063openalex-snapshot

Text Prompt Region Decomposition for Effective Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2025.3599859openalex-snapshot

Leveraging Eye Movement for Instructing Robust Video-Based Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2025.3623135openalex-snapshot

Static for Dynamic: Towards a Deeper Understanding of Dynamic Facial Expressions Using Static Expression Data

inferred← citeshttps://doi.org/10.1109/taffc.2025.3646217openalex-snapshot

MSDM: A Lightweight Multi-Scale Dynamic Mamba for Dynamic Facial Expression Recognition in Smart Classrooms

inferred← citeshttps://doi.org/10.1109/taffc.2026.3676852openalex-snapshot

Modeling Continuous Weak Temporal Trends for Video-Based Micro-Expression 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.2026.3688789openalex-snapshot

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

inferred← citeshttps://doi.org/10.1109/tbiom.2025.3546279openalex-snapshot

Robust Dynamic Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/tbme.2024.3418688openalex-snapshot

Multi-Scale and Multi-Level Feature Assessment Framework for Classification of Parkinson's Disease State From Short-Term Motor Tasks

inferred← citeshttps://doi.org/10.1109/tcss.2024.3420445openalex-snapshot

Advancements in Affective Disorder Detection: Using Multimodal Physiological Signals and Neuromorphic Computing Based on SNNs

inferred← citeshttps://doi.org/10.1109/tcss.2026.3692891openalex-snapshot

An Interpretable Collaborative Acoustic Parameter Modeling Network for Speech Emotion 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.2023.3288134openalex-snapshot

FastAL: Fast Evaluation Module for Efficient Dynamic Deep Active Learning Using Broad Learning System

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.2024.3450652openalex-snapshot

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

inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3588892openalex-snapshot

Visual and Textual Prompts in VLLMs for Enhancing Emotion Recognition

inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3619205openalex-snapshot

Feature Evaluation and Joint Interaction for Audio-Visual Emotion Recognition

inferred← citeshttps://doi.org/10.1109/tifs.2026.3714276openalex-snapshot

Toward Trustworthy Dynamic Facial Expression Recognition via Information Bottleneck Modeling

inferred← citeshttps://doi.org/10.1109/tii.2026.3655379openalex-snapshot

Texture Affinity Cue-Aware Relationship Representation via Transformers for Facial Expression Recognition in Affective Robots

inferred← citeshttps://doi.org/10.1109/tim.2025.3578178openalex-snapshot

Motion Semantic Enhancement and Autonomous Information Mining for Static-Dynamic Visual Emotion Recognition in Human–Robot Interaction

inferred← citeshttps://doi.org/10.1109/tip.2024.3504298openalex-snapshot

PTH-Net: Dynamic Facial Expression Recognition Without Face Detection and Alignment

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

Cross-Domain Sample Relationship Learning for Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/tmm.2024.3407693openalex-snapshot

Label-Guided Dynamic Spatial-Temporal Fusion for Video-Based Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/tmm.2025.3604916openalex-snapshot

Knowledge-Enhanced Facial Expression Recognition With Emotional-to-Neutral Transformation

inferred← citeshttps://doi.org/10.1109/tmm.2026.3673532openalex-snapshot

Smile on the Face, Sadness in the Eyes: Bridging the Emotion Gap With a Multimodal Dataset of Eye and Facial Behaviors

inferred← citeshttps://doi.org/10.1109/tpami.2025.3612953openalex-snapshot

An Enhanced Adaptive Confidence Margin for Semi-Supervised Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/trustcom66490.2025.00345openalex-snapshot

HOT-SPT: Hierarchical Optimal Transport for Robust and Fair Cross-Domain Video Expression Recognition

inferred← citeshttps://doi.org/10.1109/wacv57701.2024.00642openalex-snapshot

MIDAS: Mixing Ambiguous Data with Soft Labels for Dynamic Facial Expression Recognition

inferred← citeshttps://doi.org/10.1109/wacv61042.2026.00260openalex-snapshot

Face-LLaVA: Facial Expression and Attribute Understanding through Instruction Tuning

inferred← citeshttps://doi.org/10.1109/wacv61042.2026.00476openalex-snapshot

Robust Multimodal Emotion Recognition from Incomplete Modalities via Query-Based Unimodal and Cross-Modal Learning

inferred← citeshttps://doi.org/10.1117/12.3009229openalex-snapshot

A new CAPTCHA based on facial expression recognition

inferred← citeshttps://doi.org/10.1145/3474085.3475292openalex-snapshot

Former-DFER: Dynamic Facial Expression Recognition Transformer

inferred← citeshttps://doi.org/10.1145/3503161.3547865openalex-snapshot

DPCNet: Dual Path Multi-Excitation Collaborative Network for Facial Expression Representation Learning in Videos

inferred← citeshttps://doi.org/10.1145/3503161.3548190openalex-snapshot

MAFW: A Large-scale, Multi-modal, Compound Affective Database for Dynamic Facial Expression Recognition in the Wild

inferred← citeshttps://doi.org/10.1145/3581783.3611754openalex-snapshot

Sensing Micro-Motion Human Patterns using Multimodal mmRadar and Video Signal for Affective and Psychological Intelligence

inferred← citeshttps://doi.org/10.1145/3581783.3611972openalex-snapshot

Freq-HD: An Interpretable Frequency-based High-Dynamics Affective Clip Selection Method for in-the-Wild Facial Expression Recognition in Videos

inferred← citeshttps://doi.org/10.1145/3581783.3612365openalex-snapshot

MAE-DFER: Efficient Masked Autoencoder for Self-supervised Dynamic Facial Expression Recognition

inferred← citeshttps://doi.org/10.1145/3664647.3680827openalex-snapshot

FineCLIPER: Multi-modal Fine-grained CLIP for Dynamic Facial Expression Recognition with AdaptERs

inferred← citeshttps://doi.org/10.1145/3664647.3681228openalex-snapshot

All rivers run into the sea: Unified Modality Brain-Inspired Emotional Central Mechanism

inferred← citeshttps://doi.org/10.1145/3664647.3681583openalex-snapshot

Open-Set Video-based Facial Expression Recognition with Human Expression-sensitive Prompting

inferred← citeshttps://doi.org/10.1145/3664647.3681708openalex-snapshot

Domain Knowledge Enhanced Vision-Language Pretrained Model for Dynamic Facial Expression Recognition

inferred← citeshttps://doi.org/10.1145/3675094.3678492openalex-snapshot

A Feature-Based Approach for Subtle Emotion Recognition in Realistic Scenarios

inferred← citeshttps://doi.org/10.1145/3689092.3689404openalex-snapshot

SZTU-CMU at MER2024: Improving Emotion-LLaMA with Conv-Attention for Multimodal Emotion Recognition

inferred← citeshttps://doi.org/10.1145/3689092.3689409openalex-snapshot

Are You Paying Attention? Multimodal Linear Attention Transformers for Affect Prediction in Video Conversations

inferred← citeshttps://doi.org/10.1145/3731715.3733453openalex-snapshot

Towards Emotion Analysis in Short-form Videos: A Large-Scale Dataset and Baseline

inferred← citeshttps://doi.org/10.1145/3737456openalex-snapshot

Facial Expression Analysis and Its Potentials in IoT Systems: A Contemporary Survey

inferred← citeshttps://doi.org/10.1145/3744367.3744415openalex-snapshot

Multimodal Dynamic Face Emotion Verification Model based on Priori Prompt Words for Dynamic Facial Expression Recognition

inferred← citeshttps://doi.org/10.1145/3746027.3754762openalex-snapshot

From Subtle Hints to Grand Expressions - Mastering Fine-grained Emotions with Dynamic Multimodal Analysis

inferred← citeshttps://doi.org/10.1145/3774904.3792417openalex-snapshot

BHGap: A Deep Iterative Prompting and Multi-stage Alignment Framework for Dynamic Facial Expression Recognition

inferred← citeshttps://doi.org/10.1145/3776574.3830075openalex-snapshot

The Person Multimodal AI Cannot Finish

inferred← citeshttps://doi.org/10.1145/3786789openalex-snapshot

PE-CLIP: A Parameter-Efficient Fine-Tuning of Vision Language Models for Dynamic Facial Expression Recognition

inferred← citeshttps://doi.org/10.1145/3802587openalex-snapshot

Cognition-driven Adaptive Semantic Decoding Framework for Multimodal Sentiment Analysis

inferred← citeshttps://doi.org/10.1155/hbe2/7777949openalex-snapshot

The Role of Time in Facial Dynamics and Challenges in Automatic Emotion Recognition (2019–2024)

inferred← citeshttps://doi.org/10.1360/ssi-2025-0435openalex-snapshot

Zero-shot video emotional description generation based on counterfactual emotional causal reasoning

inferred← citeshttps://doi.org/10.2139/ssrn.5490604openalex-snapshot

Affective Computing in the Era of Large Language Models: A Survey from the NLP Perspective

inferred← citeshttps://doi.org/10.2139/ssrn.7389279openalex-snapshot

Cross-Corpus Stability of Frozen-Feature Conclusions About Facial Affect Dynamics

inferred← citeshttps://doi.org/10.23919/ccc64809.2025.11179742openalex-snapshot

Dynamic Facial Expressions Analysis Based Parkinson's Disease Auxiliary Diagnosis

inferred← citeshttps://doi.org/10.3389/fnbot.2021.763100openalex-snapshot

TFE: A Transformer Architecture for Occlusion Aware Facial Expression Recognition

inferred← citeshttps://doi.org/10.3390/app16189333openalex-snapshot

Towards Unified Affective AI: A Cross-Modal Survey of Emotion Recognition, Generation, and Control

inferred← citeshttps://doi.org/10.3390/biomimetics11080582openalex-snapshot

QGFace-LLaVA: Quality-Aware Controlled Fusion of Structured Side Information for Face Analysis Under Imperfect Metadata

inferred← citeshttps://doi.org/10.3390/electronics12061369openalex-snapshot

Self-Supervised Facial Motion Representation Learning via Contrastive Subclips

inferred← citeshttps://doi.org/10.3390/electronics13091606openalex-snapshot

SlowR50-SA: A Self-Attention Enhanced Dynamic Facial Expression Recognition Model for Tactile Internet Applications

inferred← citeshttps://doi.org/10.3390/electronics14050978openalex-snapshot

FRU-Adapter: Frame Recalibration Unit Adapter for Dynamic Facial Expression Recognition

inferred← citeshttps://doi.org/10.3390/electronics14061057openalex-snapshot

FCCA: Fast Center Consistency Attention for Facial Expression Recognition

inferred← citeshttps://doi.org/10.3390/electronics15102109openalex-snapshot

Deep Convolutional Neural Networks for Stress Detection: A Facial Emotion-Aware Approach

inferred← citeshttps://doi.org/10.3390/electronics15153382openalex-snapshot

EELLM: An Emotion-Enhanced Large Language Model for Multimodal Emotion Perception in IoT-Enabled Smart Sensor Networks

inferred← citeshttps://doi.org/10.3390/electronics15163555openalex-snapshot

ATSLA: Attention-Driven Temporal–Spatial Learning Architecture for Dynamic Facial Expression Recognition

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