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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
UMFN: Unified Multi-Domain Face Normalization for Joint Cross-domain Prototype Learning and Heterogeneous Face Recognition—0
Modality Agnostic Heterogeneous Face Recognition with Switch Style Modulators—0
From Modalities to Styles: Rethinking the Domain Gap in Heterogeneous Face Recognition—0
Heterogeneous Face Recognition Using Domain Invariant Units—0
Rethinking the Domain Gap in Near-infrared Face RecognitionCode0
Bridging the Gap: Heterogeneous Face Recognition with Conditional Adaptive Instance ModulationCode0
Prepended Domain Transformer: Heterogeneous Face Recognition without Bells and WhistlesCode0
Heterogeneous Face Recognition via Face Synthesis with Identity-Attribute Disentanglement—0
Joint Feature Distribution Alignment Learning for NIR-VIS and VIS-VIS Face Recognition—0
Escaping Data Scarcity for High-Resolution Heterogeneous Face Hallucination—0
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