EmotiEffNets for Facial Processing in Video-based Valence-Arousal Prediction, Expression Classification and Action Unit Detection
Author:
Affiliation:
1. Sber AI Lab,Moscow,Russia
Funder
Russian Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10208270/10208119/10208628.pdf?arnumber=10208628
Reference42 articles.
1. Affect analysis in-the-wild: Valence-arousal, expressions, action units and a unified framework;kollias,2021
2. Local Region Perception and Relationship Learning Combined with Feature Fusion for Facial Action Unit Detection
3. Expression, affect, action unit recognition: Aff-Wild2, multi-task learning and ArcFace;kollias,2019
4. Spatio-temporal AU relational graph representation learning for facial action units detection;wang,2023
5. Valence and Arousal Estimation based on Multimodal Temporal-Aware Features for Videos in the Wild
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1. Learning Facial Expression Recognition In-the-Wild from Synthetic Data Based on an Ensemble of Lightweight Neural Networks;Communications in Computer and Information Science;2024
2. Semantic-Aware GAN Manipulations for Human Face Editing;Communications in Computer and Information Science;2024
3. Gesture Recognition on Video Data;Communications in Computer and Information Science;2024
4. Predicting Molecule Toxicity via Descriptor-Based Graph Self-Supervised Learning;IEEE Access;2023
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