Occlusion-Adaptive Deep Network for Robust Facial Expression Recognition
Author:
Funder
Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9304574/9304852/09304923.pdf?arnumber=9304923
Cited by 76 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Occlusion-Aware Visual-Language Model for Occluded Facial Expression Recognition;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30
2. An Investigation into the Impact of Occlusion on Facial Emotion Recognition in the Wild;Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments;2024-06-26
3. MGR3Net: Multigranularity Region Relation Representation Network for Facial Expression Recognition in Affective Robots;IEEE Transactions on Industrial Informatics;2024-05
4. An integrated attention-guided deep convolutional neural network for facial expression recognition in the wild;Multimedia Tools and Applications;2024-04-02
5. Patient's Emotion Computing Under Robot Vision;2024 7th International Conference on Advanced Algorithms and Control Engineering (ICAACE);2024-03-01
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