ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challenges

Deep learning

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Analysing Affective Behavior in the second ABAW2 Competition

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Aff-Wild2: Extending the Aff-Wild Database for Affect RecognitionPreprint

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Recognition of Affect in the Wild Using Deep Neural Networks

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Face Behavior a la carte: Expressions, Affect and Action Units in a Single NetworkPreprint

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A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition

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Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face StudyPreprint

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Transformer-based Multimodal Information Fusion for Facial Expression Analysis

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Affect Analysis in-the-wild: Valence-Arousal, Expressions, Action Units and a Unified FrameworkPreprint

Kollias, D., & Zafeiriou, S. P. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2103.15792 · Cited by 107 · see citing works

Incremental Boosting Convolutional Neural Network for Facial Action Unit RecognitionPreprint

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Multitask Emotion Recognition with Incomplete Labels

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Two-Stream Aural-Visual Affect Analysis in the Wild

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A Multi-Task Learning & Generation Framework: Valence-Arousal, Action Units & Primary ExpressionsPreprint

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Coarse-to-Fine Cascaded Networks with Smooth Predicting for Video Facial Expression Recognition

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Multitask Multi-database Emotion Recognition

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A Multi-task Mean Teacher for Semi-supervised Facial Affective Behavior Analysis

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Continuous Emotion Recognition using Visual-audio-linguistic Information: A Technical Report for ABAW3

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Time-Continuous Audiovisual Fusion with Recurrence vs Attention for In-The-Wild Affect Recognition

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Prior Aided Streaming Network for Multi-task Affective Recognitionat the 2nd ABAW2 CompetitionPreprint

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Facial Expression Recognition with Swin TransformerPreprint

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Frame-level Prediction of Facial Expressions, Valence, Arousal and Action Units for Mobile DevicesPreprint

Savchenko, A. V. (2022) · arXiv (Cornell University) · doi:10.48550/arxiv.2203.13436 · Cited by 22 · see citing works

Affective Expression Analysis in-the-wild using Multi-Task Temporal Statistical Deep Learning Model

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A Multi-modal and Multi-task Learning Method for Action Unit and Expression RecognitionPreprint

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Causal affect prediction model using a past facial image sequence

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Consensual Collaborative Training And Knowledge Distillation Based Facial Expression Recognition Under Noisy Annotations

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Multi-modal Emotion Estimation for in-the-wild VideosPreprint

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An Audio-Video Deep and Transfer Learning Framework for Multimodal Emotion Recognition in the wildPreprint

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An Ensemble Approach for Facial Expression Analysis in VideoPreprint

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Multi-modal Multi-label Facial Action Unit Detection with TransformerPreprint

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$M^3$T: Multi-Modal Continuous Valence-Arousal Estimation in the WildPreprint

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Facial Action Unit Recognition With Multi-models EnsemblingPreprint

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Facial Expression Recognition based on Multi-head Cross Attention NetworkPreprint

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Affect Expression Behaviour Analysis in the Wild using Spatio-Channel Attention and Complementary Context InformationPreprint

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FAU, Facial Expressions, Valence and Arousal: A Multi-task SolutionPreprint

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Multi-label Transformer for Action Unit DetectionPreprint

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Spatial and Temporal Networks for Facial Expression Recognition in the Wild VideosPreprint

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Emotion Recognition for In-the-wild VideosPreprint

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Technical Report for Valence-Arousal Estimation on Affwild2 DatasetPreprint

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Technical Report for Valence-Arousal Estimation in ABAW2 ChallengePreprint

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Multi-label Relation Modeling in Facial Action Units DetectionPreprint

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A Multi-term and Multi-task Analyzing Framework for Affective Analysis in-the-wildPreprint

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Towards Better Uncertainty: Iterative Training of Efficient Networks for Multitask Emotion Recognition.Preprint

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Multi-model Ensemble Learning Method for Human Expression RecognitionPreprint

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Action Units Recognition Using Improved Pairwise Deep ArchitecturePreprint

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Multiple Emotion Descriptors Estimation at the ABAW3 ChallengePreprint

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Multi-Label Class Balancing Algorithm for Action Unit DetectionPreprint

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An Attention-based Method for Action Unit Detection at the 3rd ABAW CompetitionPreprint

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Facial Action Unit Recognition Based on Transfer LearningPreprint

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Multitask Emotion Recognition Model with Knowledge Distillation and Task DiscriminatorPreprint

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Transformer-based Multimodal Information Fusion for Facial Expression Analysis

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ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Emotional Reaction Intensity Estimation Challenges

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The 6th Affective Behavior Analysis in-the-wild (ABAW) Competition

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Coarse-to-Fine Cascaded Networks with Smooth Predicting for Video Facial Expression Recognition

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MixAugment & Mixup: Augmentation Methods for Facial Expression Recognition

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Uncertain Facial Expression Recognition via Multi-Task Assisted Correction

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Exploring facial expressions and action unit domains for Parkinson detection

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Beyond Supervised Learning for Pervasive Healthcare

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Leveraging TCN and Transformer for effective visual-audio fusion in continuous emotion recognition

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Frame Level Emotion Guided Dynamic Facial Expression Recognition with Emotion Grouping

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Joint Multimodal Transformer for Emotion Recognition in the Wild

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7th ABAW Competition: Multi-task Learning and Compound Expression Recognition

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Graph-Based Facial Affect Analysis: A Review

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Multi-modal Facial Affective Analysis based on Masked Autoencoder

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Hybrid Multi-Attention Network for Audio–Visual Emotion Recognition Through Multimodal Feature Fusion

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Continuous Emotion Recognition using Visual-audio-linguistic Information: A Technical Report for ABAW3

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Multimodal Continuous Emotion Recognition: A Technical Report for ABAW5

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Exploring Facial Expression Recognition through Semi-Supervised Pre-training and Temporal Modeling

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Time-Continuous Audiovisual Fusion with Recurrence vs Attention for In-The-Wild Affect Recognition

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

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An Assessment of In-the-Wild Datasets for Multimodal Emotion Recognition

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Exploring Large-scale Unlabeled Faces to Enhance Facial Expression Recognition

Yu, J., Cai, Z., Li, R., Zhao, G., Xie, G., Zhu, J., Zhu, W., Ling, Q., Wang, L., Wang, C., et al. (2023) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw59228.2023.00616 · Cited by 24 · see citing works

ABAW5 Challenge: A Facial Affect Recognition Approach Utilizing Transformer Encoder and Audiovisual Fusion

Zhang, Z., An, L., Cui, Z., Xu, A., Dong, T., Jiang, Y., Shi, J., Liu, X., Sun, X., & Wang, M. (2023) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw59228.2023.00607 · Cited by 23 · see citing works

Multimodal Feature Extraction and Fusion for Emotional Reaction Intensity Estimation and Expression Classification in Videos with Transformers

Li, J., Chen, Y., Zhang, X., Nie, J., Li, Z., Yu, Y., Zhang, Y., Hong, R., & Wang, M. (2023) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw59228.2023.00620 · Cited by 22 · see citing works

CAGE: Circumplex Affect Guided Expression Inference

Wagner, N., Mätzler, F., Vossberg, S. R., Schneider, H., Pavlitska, S., & Zöllner, J. M. (2024) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw63382.2024.00471 · Cited by 22 · see citing works

Incongruity-Aware Cross-Modal Attention for Audio-Visual Fusion in Dimensional Emotion Recognition

Praveen, R. G., & Alam, J. (2024) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2024.3422823 · Cited by 21 · see citing works

Multi-Task Learning Framework for Emotion Recognition In-the-Wild

Zhang, T., Liu, C., Liu, X., Liu, Y., Meng, L., Sun, L., Jiang, W., Zhang, F., Zhao, J., & Jin, Q. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-25075-0_11 · Cited by 20 · see citing works

An Ensemble Approach for Facial Behavior Analysis in-the-wild Video

Nguyen, H.-H., Huynh, V. T., & Kim, S.-H. (2022) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw56347.2022.00281 · Cited by 19 · see citing works

A Unified Approach to Facial Affect Analysis: the MAE-Face Visual Representation

Ma, B., Zhang, W., Qiu, F., & Ding, Y. (2023) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw59228.2023.00630 · Cited by 15 · see citing works

Robust Light-Weight Facial Affective Behavior Recognition with CLIP

Lin, L., Papabathini, S., Wang, X., & Hu, S. (2024) · IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR) · doi:10.1109/mipr62202.2024.00103 · Cited by 16 · see citing works

EmoStyle: One-Shot Facial Expression Editing Using Continuous Emotion Parameters

Azari, B., & Lim, A. (2024) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv57701.2024.00626 · Cited by 15 · see citing works

Zero-Shot Audio-Visual Compound Expression Recognition Method based on Emotion Probability Fusion

Рюмина, Е. В., Markitantov, M., Ryumin, D., Kaya, H., & Karpov, A. A. (2024) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw63382.2024.00478 · Cited by 16 · see citing works

Classification of Facial Expression In-the-Wild based on Ensemble of Multi-head Cross Attention Networks

Jeong, J.-Y., Hong, Y.-G., Kim, D., Jeong, J.-W., Jung, Y., & Kim, S.-H. (2022) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw56347.2022.00262 · Cited by 14 · see citing works

Affective Behaviour Analysis Using Pretrained Model with Facial Prior

Li, Y., Sun, H., Liu, Z., Han, H., & Shan, S. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-25075-0_2 · Cited by 13 · see citing works

An Effective Ensemble Learning Framework for Affective Behaviour Analysis

Zhang, W., Qiu, F., Liu, C., Li, L., Du, H., Guo, T., & Yu, X. (2024) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw63382.2024.00479 · Cited by 13 · see citing works

MIUIC: A Human-Computer Collaborative Multimodal Intention-Understanding Algorithm Incorporating Comfort Analysis

Zhou, L., Feng, Z., Wang, H., & Guo, Q. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2247606 · Cited by 12 · see citing works

NAC-TCN: Temporal Convolutional Networks with Causal Dilated Neighborhood Attention for Emotion Understanding

Mehta, A., & Yang, W. (2023) · International Conference on Video and Image Processing (ICVIP) · doi:10.1145/3639390.3639392 · Cited by 12 · see citing works

Advancements in Affective and Behavior Analysis: The 8th ABAW Workshop and Competition

Kollias, D., Tzirakis, P., Cowen, A., Zafeiriou, S. P., Kotsia, I., Granger, É., Pedersoli, M., Bacon, S., Baird, A., Gagne, C., et al. (2025) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw67362.2025.00554 · Cited by 12 · see citing works

Local Region Perception and Relationship Learning Combined with Feature Fusion for Facial Action Unit Detection

Yu, J., Li, R., Cai, Z., Zhao, G., Xie, G., Zhu, J., Zhu, W., Ling, Q., Wang, L., Wang, C., et al. (2023) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw59228.2023.00614 · Cited by 12 · see citing works

GameVibe: a multimodal affective game corpus

Barthet, M., Kaselimi, M., Pinitas, K., Makantasis, K., Liapis, A., & Yannakakis, G. N. (2024) · Scientific Data · doi:10.1038/s41597-024-04022-4 · Cited by 12 · see citing works

Model Level Ensemble for Facial Action Unit Recognition at the 3rd ABAW Challenge

Jiang, W., Wu, Y. N., Qiao, F., Meng, L., Deng, Y., & Liu, C. (2022) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw56347.2022.00260 · Cited by 11 · see citing works

Spatial-Temporal Graph-Based AU Relationship Learning for Facial Action Unit Detection

Wang, Z., Song, S., Luo, C., Zhou, Y., Wu, S., Xie, W., & Shen, L. (2023) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw59228.2023.00627 · Cited by 11 · see citing works

MMA-MRNNet: Harnessing Multiple Models of Affect and Dynamic Masked RNN for Precise Facial Expression Intensity Estimation

Kollias, D., Psaroudakis, A., Αρσένος, Α., Theofilou, P., Shao, C., Hu, G., & Patras, I. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-91581-9_1 · Cited by 11 · see citing works

Facial Expression Classification using Fusion of Deep Neural Network in Video

Phan, K. N., Nguyen, H.-H., Huynh, V. T., & Kim, S.-H. (2022) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw56347.2022.00280 · Cited by 10 · see citing works

EmotiEffNet and Temporal Convolutional Networks in Video-based Facial Expression Recognition and Action Unit Detection

Savchenko, A. V., & Sidorova, A. P. (2024) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw63382.2024.00488 · Cited by 10 · see citing works

Enhancing Facial Expression Recognition Through Dual-Direction Attention Mixed Feature Networks: Application to 7th ABAW Challenge

Cabacas-Maso, J., Ortega-Beltrán, E., Benito-Altamirano, I., & Ventura, C. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-91581-9_22 · Cited by 10 · see citing works

Mamba-VA: A Mamba-Based Approach for Continuous Emotion Recognition in Valence-Arousal Space

Liang, Y., Wang, Z., Liu, F., Liu, M., & Yao, Y. (2025) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw67362.2025.00562 · Cited by 11 · see citing works

Empirical Validation of an Agent-Based Model of Emotion Contagion

van Haeringen, E. S., Veltmeijer, E. A., & Gerritsen, C. (2023) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2023.3272031 · Cited by 10 · see citing works

Unleashing the Transferability Power of Unsupervised Pre-Training for Emotion Recognition in Masked and Unmasked Facial Images

Moreno D’Incà, Beyan, C., Niewiadomski, R., Barattin, S., & Sebe, N. (2023) · IEEE Access · doi:10.1109/access.2023.3308047 · Cited by 10 · see citing works

Action unit detection by exploiting spatial-temporal and label-wise attention with transformer

Wang, L., Qi, J., Cheng, J., & Suzuki, K. (2022) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw56347.2022.00276 · Cited by 10 · see citing works

Leveraging Pre-trained Multi-task Deep Models for Trustworthy Facial Analysis in Affective Behaviour Analysis in-the-Wild

Savchenko, A. V. (2024) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw63382.2024.00473 · Cited by 8 · see citing works

A joint hierarchical cross‐attention graph convolutional network for multi‐modal facial expression recognition

Xu, C., Du, Y., Wang, J., Zheng, W., Li, T., & Yuan, Z.-S. (2023) · Computational Intelligence · doi:10.1111/coin.12607 · Cited by 9 · see citing works

Emotion Recognition beyond Pixels: Leveraging Facial Point Landmark Meshes

Arabian, H., Alshirbaji, T. A., Chase, J. G., & Möeller, K. (2024) · Applied Sciences · doi:10.3390/app14083358 · Cited by 9 · see citing works

Deep Adaptation of Adult-Child Facial Expressions by Fusing Landmark Features

Witherow, M. A., Samad, M. D., Diawara, N., Bar, H., & Iftekharuddin, K. M. (2023) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2023.3297075 · Cited by 9 · see citing works

BFCP: Pursue Better Forward Compatibility Pretraining for Few-Shot Class-Incremental Learning

Fu, Z., Wang, Z., Xu, X., Guo, W., Chi, Z., Yang, H., & Du, W. (2025) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2025.3548465 · Cited by 8 · see citing works

Multimodal emotion recognition method in complex dynamic scenes

Liu, L., Luo, Q., Zhang, W., Zhang, M., & Zhai, B. (2025) · Journal of Information and Intelligence · doi:10.1016/j.jiixd.2025.02.004 · Cited by 10 · see citing works

Emotion Recognition Using Transformers with Random Masking

Min, S., Yang, J.-S., & Lim, S. (2024) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw63382.2024.00489 · Cited by 8 · see citing works

Emotic Masked Autoencoder on Dual-views with Attention Fusion for Facial Expression Recognition

Nguyen, X.-B., Nguyen, H.-T., Nguyen, T.-H., Do, N.-T., & Dinh, V. Q. (2024) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw63382.2024.00481 · Cited by 8 · see citing works

Efficient Feature Extraction and Late Fusion Strategy for Audiovisual Emotional Mimicry Intensity Estimation

Yu, J., Zhu, W., Zhu, J., Cai, Z., Zhao, G., Zhang, Z., Xie, G., Wei, Z., Liu, Q., & Liang, J. (2024) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw63382.2024.00490 · Cited by 8 · see citing works

Nonverbal Communication Cue Recognition: A Pathway to More Accessible Communication

Shafique, Z., Wang, H., & Tian, Y. (2023) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw59228.2023.00600 · Cited by 7 · see citing works

A Dual Branch Network for Emotional Reaction Intensity Estimation

Yu, J., Zhu, J., Zhu, W., Cai, Z., Xie, G., Li, R., Zhao, G., Ling, Q., Wang, L., Wang, C., et al. (2023) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw59228.2023.00617 · Cited by 7 · see citing works

Graph-Based Multi-Feature Fusion Method for Speech Emotion Recognition

Liu, X., Jie, L., & Wang, C. (2024) · International Journal of Pattern Recognition and Artificial Intelligence · doi:10.1142/s021800142450023x · Cited by 7 · see citing works

Prediction of University Students’ Subjective Well-Being with Sleep and Physical Activity Data using Classification Algorithms

Kılıç, A. C., Karakuş, A., & Alptekin, S. E. (2022) · Procedia Computer Science · doi:10.1016/j.procs.2022.09.323 · Cited by 7 · see citing works

Facial Expression Recognition with Mid-level Representation Enhancement and Graph Embedded Uncertainty Suppressing

Lei, J., Liu, Z., Zou, Z., Li, T., Xu, J., Wang, S., Yang, G., & Feng, Z. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-25075-0_7 · Cited by 7 · see citing works

Exploring Expression-related Self-supervised Learning and Spatial Reserve Pooling for Affective Behaviour Analysis

Xue, F., Sun, Y., & Yang, Y. (2023) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw59228.2023.00604 · Cited by 7 · see citing works

MoEmo Vision Transformer: Integrating Cross-Attention and Movement Vectors in 3D Pose Estimation for HRI Emotion Detection

Jeong, D. C., Shen, T., Liu, H., Kapoor, R., Nguyen, C., Liu, S., & Kitts, C. (2023) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros55552.2023.10342417 · Cited by 6 · see citing works

DEITalk: Speech-Driven 3D Facial Animation with Dynamic Emotional Intensity Modeling

Shen, K., Xia, H., Geng, G., Geng, G., Xia, S., & Ding, Z. (2024) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3664647.3681359 · Cited by 6 · see citing works

An Attention-based Method for Multi-label Facial Action Unit Detection

Hoai, D. L., Lim, E., Choi, E., Kim, S., Pant, S., Lee, G.-S., Kim, S.-H., & Yang, H.-J. (2022) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw56347.2022.00274 · Cited by 6 · see citing works

Affective Behavior Analysis Using Action Unit Relation Graph and Multi-task Cross Attention

Nguyen, D.-K., Pant, S., Ho, N.-H., Lee, G.-S., Kim, S.-H., & Yang, H.-J. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-25075-0_10 · Cited by 6 · see citing works

Distilling Privileged Multimodal Information for Expression Recognition using Optimal Transport

Aslam, M. H., Zeeshan, M., Belharbi, S., Pedersoli, M., Koerich, A. L., Bacon, S., & Granger, É. (2024) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg59268.2024.10582047 · Cited by 6 · see citing works

AUD-TGN: Advancing Action Unit Detection with Temporal Convolution and GPT-2 in Wild Audiovisual Contexts

Yu, J., Zhang, Z., Wei, Z., Zhao, G., Cai, Z., Wang, Y., Xie, G., Zhu, J., Zhu, W., Liu, Q., et al. (2024) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw63382.2024.00484 · Cited by 6 · see citing works

Ensemble Spatial and Temporal Vision Transformer for Action Units Detection

Vu, N. T., Huynh, V. T., Nguyen, T.-N., & Kim, S.-H. (2023) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw59228.2023.00612 · Cited by 6 · see citing works

Leveraging Lightweight Facial Models and Textual Modality in Audio-Visual Emotional Understanding in-the-Wild

Savchenko, A. V., & Savchenko, L. V. (2025) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw67362.2025.00577 · Cited by 5 · see citing works

Cross-Modal Facial Expression Recognition with Global Channel-Spatial Attention: Modal Enhancement and Proportional Criterion Fusion

Yu, J., Zheng, Y., Wang, L., Wang, Y., & Xu, S. (2025) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw67362.2025.00569 · Cited by 5 · see citing works

SAAML: A Framework for Semi-supervised Affective Adaptation via Metric Learning

Tran, M., Kim, Y., Su, C.-C., Kuo, C.-H., & Soleymani, M. (2023) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3581783.3612286 · Cited by 5 · see citing works

Unimodal Multi-Task Fusion for Emotional Mimicry Intensity Prediction

Hallmen, T., Deuser, F., Oswald, N., & André, E. (2024) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw63382.2024.00468 · Cited by 5 · see citing works

Dataset Construction and Effectiveness Evaluation of Spoken-Emotion Recognition for Human Machine Interaction

Okayama, M., & Hasegawa, T. (2025) · IEEE Access · doi:10.1109/access.2025.3565537 · Cited by 5 · see citing works

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

Liu, Y., Wei, L., Liu, K., Chen, Z., Chen, Z., Tang, C., Chen, J., & Shan, S. (2025) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2025.3599859 · Cited by 4 · see citing works

Posterior-Based Analysis of Spatio-Temporal Features for Sign Language Assessment

Tarigopula, N., Tornay, S., Sincan, O. M., Bowden, R., & Magimai.-Doss, M. (2025) · IEEE Open Journal of Signal Processing · doi:10.1109/ojsp.2025.3531781 · Cited by 5 · see citing works

SetPeER: Set-Based Personalized Emotion Recognition With Weak Supervision

Tran, M., Yin, Y., & Soleymani, M. (2025) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2025.3568024 · Cited by 4 · see citing works

Estimating Multiple Emotion Descriptors by Separating Description and Inference

Deng, D., & Shi, B. E. (2022) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw56347.2022.00267 · Cited by 4 · see citing works

Multi-modal Emotion Reaction Intensity Estimation with Temporal Augmentation

Qiu, F., Ma, B., Zhang, W., & Ding, Y. (2023) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw59228.2023.00613 · Cited by 4 · see citing works

Textualized and Feature-Based Models for Compound Multimodal Emotion Recognition in the Wild

Richet, N., Belharbi, S., Aslam, M. H., Schadt, M. E., González-González, M., Cortal, G., Koerich, A. L., Pedersoli, M., Finkel, A., Bacon, S., et al. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-91581-9_5 · Cited by 4 · see citing works

Two-Aspect Information Interaction Model for ABAW4 Multi-task Challenge

Sun, H., Lian, Z., Liu, B., Tao, J., Sun, L., Cai, C., & He, Y. L. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-25075-0_13 · Cited by 4 · see citing works

Speech-Visual Emotion Recognition via Modal Decomposition Learning

Bai, L., Chang, R., Chen, G., & Zhou, Y. (2023) · IEEE Signal Processing Letters · doi:10.1109/lsp.2023.3324294 · Cited by 4 · see citing works

Multi-modal Arousal and Valence Estimation under Noisy Conditions

Dresvyanskiy, D., Markitantov, M., Yu, J., Kaya, H., & Karpov, A. A. (2024) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw63382.2024.00480 · Cited by 4 · see citing works

Semantic Matters: Multimodal Features for Affective Analysis

Hallmen, T., Kampa, R.-N., Deuser, F., Oswald, N., & André, E. (2025) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw67362.2025.00570 · Cited by 3 · see citing works

Emotion recognition in human robot collaboration for multimodal approaches, real-world challenges and future directions

Parihar, N., Kanan, Chawla, R., & Fortino, G. (2026) · Discover Robotics · doi:10.1007/s44430-026-00028-2 · Cited by 3 · see citing works

ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Emotional Reaction Intensity Estimation Challenges

Kollias, D., Tzirakis, P., Baird, A., Cowen, A., & Zafeiriou, S. P. (2023) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw59228.2023.00626 · Cited by 102 · see citing works

Analysing Affective Behavior in the second ABAW2 Competition

Kollias, D., & Zafeiriou, S. P. (2021) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw54120.2021.00408 · Cited by 168 · see citing works

7th ABAW Competition: Multi-task Learning and Compound Expression Recognition

Kollias, D., Zafeiriou, S. P., Kotsia, I., Dhall, A., Ghosh, S., Shao, C., & Hu, G. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-91581-9_3 · Cited by 34 · see citing works

ABAW: Learning from Synthetic Data & Multi-task Learning Challenges

Kollias, D. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-25075-0_12 · Cited by 80 · see citing works

Analysing Affective Behavior in the First ABAW 2020 Competition

Kollias, D., Schulc, A., Hajiyev, E., & Zafeiriou, S. P. (2020) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg47880.2020.00126 · Cited by 226 · see citing works