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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 21–30 of 36 papers

TitleStatusHype
A-LINK: Recognizing Disguised Faces via Active Learning based Inter-Domain KnowledgeCode1
Cross-Spectral Face Hallucination via Disentangling Independent Factors—0
Cross-Resolution Face Recognition via Prior-Aided Face Hallucination and Residual Knowledge Distillation—0
Dual Variational Generation for Low-Shot Heterogeneous Face RecognitionCode1
Cross-spectral Face Completion for NIR-VIS Heterogeneous Face Recognition—0
Disentangled Variational Representation for Heterogeneous Face Recognition—0
Thermal to Visible Synthesis of Face Images using Multiple Regions—0
Adversarial Discriminative Heterogeneous Face Recognition—0
Improving Heterogeneous Face Recognition with Conditional Adversarial Networks—0
Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition—0
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