Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-Spectral Hallucination and Low-Rank Embedding
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- Type
- article
- Published
- 2016-11-21
- Cited by
- 143
- References
- 45
- Access
- Open access
- OpenAlex
- https://openalex.org/W2551624499
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:972639
Keywords
Artificial intelligence, Embedding, Deep learning, Computer science, Pattern recognition (psychology)
References
- Large Margin Coupled Feature Learning for cross-modal face recognition
- Learning Face Representation from Scratch
- Shared representation learning for heterogenous face recognition
- Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
- Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments
- NIR-VIS heterogeneous face recognition via cross-spectral joint dictionary learning and reconstruction
- Heterogeneous Face Recognition: Matching NIR to Visible Light Images
- Return of the Devil in the Details: Delving Deep into Convolutional Nets
- A Proof of Convergence of the Concave-Convex Procedure Using Zangwill's Theory
- A local-coloring method for night-vision colorization utilizing image analysis and fusion
- Multi-spectral SIFT for scene category recognition
- Heterogeneous face image matching using multi-scale features
- Multi-spectral face recognition: Identification of people in difficult environments
- Learning Compact Binary Face Descriptor for Face Recognition
- Matching heterogeneous periocular regions: Short and long standoff distances
- The CASIA NIR-VIS 2.0 Face Database
- One millisecond face alignment with an ensemble of regression trees
- Domain Adaptive Self-Taught Learning for Heterogeneous Face Recognition
- FaceNet: A unified embedding for face recognition and clustering
- Hallucinating faces from thermal infrared images
Cited by
- Adversarial Discriminative Heterogeneous Face Recognition
- Intelligent Synthesis Driven Model Calibration: Framework and Face Recognition Application
- LDMNet: Low Dimensional Manifold Regularized Neural Networks
- TV-GAN: Generative Adversarial Network Based Thermal to Visible Face Recognition
- Pushing boundaries of face recognition : adversary, heterogeneity, and scale
- Local feature description in cross-spectral imagery
- Deep Face Recognition: A Survey
- Deep Material-Aware Cross-Spectral Stereo Matching
- Thermal to Visible Facial Image Translation Using Generative Adversarial Networks
- An Extensive Review on Spectral Imaging in Biometric Systems: Challenges and Advancements
- LIGHT FIELD BASED FACE RECOGNITION VIA A FUSED DEEP REPRESENTATION
- A Comprehensive Survey for Low Rank Regularization
- Dictionary Alignment With Re-Ranking for Low-Resolution NIR-VIS Face Recognition
- Coarse to Fine Training for Low-Resolution Heterogeneous Face Recognition
- Cross-Domain Hallucination Network for Fine-Grained Object Recognition
- Deep Learning Based Identity Verification in Renaissance Portraits
- Single-Sensor RGB-NIR Imaging: High-Quality System Design and Prototype Implementation
- Fine Tuning Dual Streams Deep Network with Multi-scale Pyramid Decision for Heterogeneous Face Recognition
- Unsupervised Cross-spectral Stereo Matching by Learning to Synthesize
- Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks
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