RGB-D Face Recognition With Identity-Style Disentanglement and Depth Augmentation-Reference-Cited by-同舟云学术

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RGB-D Face Recognition With Identity-Style Disentanglement and Depth Augmentation

Published:2023-07 Issue:3 Volume:5 Page:334-347
ISSN:2637-6407
Container-title:IEEE Transactions on Biometrics, Behavior, and Identity Science
language:
Short-container-title:IEEE Trans. Biom. Behav. Identity Sci.

Author:

Chiu Meng-Tzu¹^ORCID,Cheng Hsun-Ying¹,Wang Chien-Yi²^ORCID,Lai Shang-Hong¹^ORCID

Affiliation:

1. Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan

2. Microsoft Artificial Intelligence R&D Center, Microsoft Corporation, Taipei City, Taiwan

Funder

National Science and Technology Council, Taiwan, R.O.C.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Science Applications,Computer Vision and Pattern Recognition,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/8423754/10210132/10011574.pdf?arnumber=10011574

Reference51 articles.

1. Pose Normalization for Local Appearance-Based Face Recognition

2. Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network

3. RGB-D Face Recognition using Reconstruction based Shared Representation

4. Cross Modal Focal Loss for RGBD Face Anti-Spoofing

5. Using a Multi-Instance Enrollment Representation to Improve 3D Face Recognition

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