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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
Modality Agnostic Heterogeneous Face Recognition with Switch Style Modulators—0
Multi-Margin based Decorrelation Learning for Heterogeneous Face Recognition—0
Cross-Spectral Face Hallucination via Disentangling Independent Factors—0
Relational Deep Feature Learning for Heterogeneous Face Recognition—0
Shared Representation Learning for Heterogeneous Face Recognition—0
Sparse Graphical Representation based Discriminant Analysis for Heterogeneous Face Recognition—0
Thermal to Visible Synthesis of Face Images using Multiple Regions—0
Towards NIR-VIS Masked Face Recognition—0
UMFN: Unified Multi-Domain Face Normalization for Joint Cross-domain Prototype Learning and Heterogeneous Face Recognition—0
Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition—0
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