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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
DVG-Face: Dual Variational Generation for Heterogeneous Face RecognitionCode1
A2-LINK: Recognizing Disguised Faces via Active Learning and Adversarial Noise based Inter-Domain KnowledgeCode1
A-LINK: Recognizing Disguised Faces via Active Learning based Inter-Domain KnowledgeCode1
Dual Variational Generation for Low-Shot Heterogeneous Face RecognitionCode1
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
Heterogeneous Face Recognition Using Domain Invariant Units—0
From Modalities to Styles: Rethinking the Domain Gap in Heterogeneous Face Recognition—0
Rethinking the Domain Gap in Near-infrared Face RecognitionCode0
Bridging the Gap: Heterogeneous Face Recognition with Conditional Adaptive Instance ModulationCode0
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