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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
Dual Variational Generation for Low Shot Heterogeneous Face Recognition—0
Escaping Data Scarcity for High-Resolution Heterogeneous Face Hallucination—0
Frankenstein: Learning Deep Face Representations using Small Data—0
From Modalities to Styles: Rethinking the Domain Gap in Heterogeneous Face Recognition—0
Graphical Representation for Heterogeneous Face Recognition—0
Heterogeneous Face Recognition Using Domain Invariant Units—0
Heterogeneous Face Recognition via Face Synthesis with Identity-Attribute Disentanglement—0
Improving Heterogeneous Face Recognition with Conditional Adversarial Networks—0
Joint Feature Distribution Alignment Learning for NIR-VIS and VIS-VIS Face Recognition—0
LAMP-HQ: A Large-Scale Multi-Pose High-Quality Database and Benchmark for NIR-VIS Face Recognition—0
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