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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 26–36 of 36 papers

TitleStatusHype
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
Coupled Deep Learning for Heterogeneous Face Recognition—0
Sparse Graphical Representation based Discriminant Analysis for Heterogeneous Face Recognition—0
Frankenstein: Learning Deep Face Representations using Small Data—0
Graphical Representation for Heterogeneous Face Recognition—0
A Survey on Heterogeneous Face Recognition: Sketch, Infra-red, 3D and Low-resolution—0
Shared Representation Learning for Heterogeneous Face Recognition—0
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