Three Stream Graph Attention Network using Dynamic Patch Selection for the classification of micro-expressions
Author:
Affiliation:
1. University of California,Department of Electrical and Computer Engineering,Riverside
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9856930/9856648/09856976.pdf?arnumber=9856976
Reference46 articles.
1. Learning from Macro-expression
2. Recognizing Spontaneous Micro-Expression Using a Three-Stream Convolutional Neural Network
3. A Boost in Revealing Subtle Facial Expressions: A Consolidated Eulerian Framework
4. From Macro to Micro Expression Recognition: Deep Learning on Small Datasets Using Transfer Learning
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1. Spiking-Fer: Spiking Neural Network for Facial Expression Recognition With Event Cameras;20th International Conference on Content-based Multimedia Indexing;2023-09-20
2. RMES: Real-Time Micro-Expression Spotting Using Phase From Riesz Pyramid;2023 IEEE International Conference on Multimedia and Expo (ICME);2023-07
3. Adaptive Graph Attention Network with Temporal Fusion for Micro-Expressions Recognition;2023 IEEE International Conference on Multimedia and Expo (ICME);2023-07
4. Relational Edge-Node Graph Attention Network for Classification of Micro-Expressions;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06
5. Action Decouple Multi-Tasking for Micro-Expression Recognition;IEEE Access;2023
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