Towards Explainable, Privacy-Preserved Human-Motion Affect Recognition-Reference-Cited by-同舟云学术

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Towards Explainable, Privacy-Preserved Human-Motion Affect Recognition

Published:2021-12-05 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Symposium Series on Computational Intelligence (SSCI)
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Author:

Malek-Podjaski Matthew,Deligianni Fani

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9659537/9659538/09660129.pdf?arnumber=9660129

Reference42 articles.

1. Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI

2. Cross-VAE: Towards Disentangling Expression from Identity For Human Faces

3. Learning to disentangle emotion factors for facial expression recognition in the wild

4. Hard negative generation for identity-disentangled facial expression recognition

Cited by 2 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. Balancing XAI with Privacy and Security Considerations;Lecture Notes in Computer Science;2024

2. Adversarial Attention for Human Motion Synthesis;2023 IEEE Symposium Series on Computational Intelligence (SSCI);2023-12-05

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