Intelligent Synthesis Driven Model Calibration: Framework and Face Recognition Application
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- Type
- article
- Published
- 2017-10-01
- Cited by
- 1
- References
- 28
- OpenAlex
- https://openalex.org/W2769554197
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:4734831
Keywords
Computer science, Exploit, Software deployment, Facial recognition system, Artificial intelligence
References
- Large Margin Coupled Feature Learning for cross-modal face recognition
- Shared representation learning for heterogenous face recognition
- 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
- Web-scale training for face identification
- Near-optimal sensor placements in Gaussian processes
- Face recognition in unconstrained videos with matched background similarity
- Transformation Pursuit for Image Classification
- Learning Compact Binary Face Descriptor for Face Recognition
- Poisson image editing
- The CASIA NIR-VIS 2.0 Face Database
- FaceNet: A unified embedding for face recognition and clustering
- Distance Metric Learning for Large Margin Nearest Neighbor Classification
- A 3D Face Model for Pose and Illumination Invariant Face Recognition
- Dlib-ml: A Machine Learning Toolkit
- Gaze estimation from multimodal Kinect data
- Frankenstein: Learning Deep Face Representations Using Small Data
- Deep Face Recognition
- Synthetic Data for Text Localisation in Natural Images
- MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild
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