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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 1–10 of 36 papers

TitleStatusHype
A2-LINK: Recognizing Disguised Faces via Active Learning and Adversarial Noise based Inter-Domain KnowledgeCode1
A-LINK: Recognizing Disguised Faces via Active Learning based Inter-Domain KnowledgeCode1
DVG-Face: Dual Variational Generation for Heterogeneous Face RecognitionCode1
Dual Variational Generation for Low-Shot Heterogeneous Face RecognitionCode1
Adversarial Discriminative Heterogeneous Face Recognition—0
Coupled Deep Learning for Heterogeneous Face Recognition—0
A Survey on Heterogeneous Face Recognition: Sketch, Infra-red, 3D and Low-resolution—0
Cross-spectral Face Completion for NIR-VIS Heterogeneous Face Recognition—0
DBLFace: Domain-Based Labels for NIR-VIS Heterogeneous Face Recognition—0
Cross-Resolution Face Recognition via Prior-Aided Face Hallucination and Residual Knowledge Distillation—0
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