First Name Attributes - Code and Trained Models
Abstract/Contents
- Abstract
- We share the code and trained models for our work on first name attributes, in a hope that it will be useful for the research related to facial processing. Given a testing facial image, the code generates a ranked list of 100 names that best describes the facial appearance. While the first name prediction of a never-seen face is extremely challenging and infeasible to achieve very high accuracy, we demonstrate that first names and facial appearance are correlated, and can utilize the face-name correlation for many practical applications such as gender and age recognition.
Description
| Type of resource | software, multimedia |
|---|---|
| Date created | October 2013 |
Creators/Contributors
| Author | Chen, Huizhong |
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| Author | Gallagher, Andrew |
| Author | Girod, Bernd |
Subjects
| Subject | Faces |
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| Subject | Computer Vision |
| Subject | Image Processing |
| Subject | Pattern Recognition |
| Genre | Dataset |
Bibliographic information
| Related Publication | Huizhong Chen, Andrew Gallagher, and Bernd Girod, "What's in a Name: First Names as Facial Attributes", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2013. http://dx.doi.org/10.1109/CVPR.2013.432 |
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| Related item |
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| Location | https://purl.stanford.edu/fb872mg3286 |
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
Preferred citation
- Preferred Citation
- Huizhong Chen, Andrew Gallagher, and Bernd Girod, "What's in a Name: First Names as Facial Attributes", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2013. First Name Attributes - Code and Trained Models. Stanford Digital Repository. Available at: http://purl.stanford.edu/fb872mg3286
Collection
Research Datasets for Image, Video, and Multimedia Systems Group at Stanford
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- Contact
- hchen2@stanford.edu
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