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Heterogeneous Face Recognition

Heterogeneous face recognition is the task of matching face images acquired from different sources (i.e., different sensors or different wavelengths) for identification or verification.

( Image credit: Pose Agnostic Cross-spectral Hallucination via Disentangling Independent Factors )

Papers

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Showing 11–20 of 36 papers

TitleStatusHype
Towards NIR-VIS Masked Face Recognition—0
A NIR-to-VIS face recognition via part adaptive and relation attention module—0
DBLFace: Domain-Based Labels for NIR-VIS Heterogeneous Face Recognition—0
DVG-Face: Dual Variational Generation for Heterogeneous Face RecognitionCode1
Domain Private and Agnostic Feature for Modality Adaptive Face Recognition—0
A2-LINK: Recognizing Disguised Faces via Active Learning and Adversarial Noise based Inter-Domain KnowledgeCode1
Multi-Margin based Decorrelation Learning for Heterogeneous Face Recognition—0
Relational Deep Feature Learning for Heterogeneous Face Recognition—0
LAMP-HQ: A Large-Scale Multi-Pose High-Quality Database and Benchmark for NIR-VIS Face Recognition—0
Dual Variational Generation for Low Shot Heterogeneous Face Recognition—0
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