Face Recognition In Harsh Conditions: An Acoustic Based Approach-Reference-Cited by-同舟云学术

Face Recognition In Harsh Conditions: An Acoustic Based Approach

Published:2024-06-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services
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Author:

Zhang Yanbo¹^ORCID,Tong Panrong²^ORCID,Li Songfan³^ORCID,Xie Yaxiong⁴^ORCID,Li Mo⁵^ORCID

Affiliation:

1. Nanyang Technological University, Singapore, Singapore

2. Alibaba Group, Hang Zhou, China

3. The Hong Kong University of Science and Technology, Hong Kong, China

4. University at Buffalo, SUNY, New York, United States of America

5. The Hong Kong University of Science and Technology and Nanyang Technological University, Hong Kong, China

Funder

National Key R&D Program of China

HKUST internal fund

Singapore MOE AcRF Tier 2

Alibaba Innovative Research (AIR) Program

Alibaba-NTU Singapore Joint Research Institute (JRI)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3643832.3661855

Reference45 articles.

1. 2023. About Face ID advanced technology. https://support.apple.com/en-us/102381#:~:text=The%20technology%20that%20enables%20Face infrared%20image%20of%20your%20face.

2. 2023. Face ID under mask recognition. https://support.apple.com/en-sg/guide/iphone/iph6d162927a/ios#:~:text=Use%20Face%20ID%20while%20wearing%20a%20face%20mask&text=Note%3A%20Face%20ID%20is%20most then%20follow%20the%20onscreen%20instructions.

3. Aqeel Anwar and Arijit Raychowdhury. 2020. Masked face recognition for secure authentication. arXiv preprint arXiv:2008.11104 (2020).

4. Self-restrained triplet loss for accurate masked face recognition

5. A Computational Approach to Edge Detection

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