Gender Classification via Graph Convolutional Networks on 3D Facial Models-Reference-Cited by-同舟云学术

Gender Classification via Graph Convolutional Networks on 3D Facial Models

Published:2024-04-08 Issue: Volume:9 Page:482-489
ISSN:
Container-title:Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing
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Author:

Blandano Giorgio¹^ORCID,Burger Jacopo¹^ORCID,Cappella Annalisa²³^ORCID,Dolci Claudia⁴^ORCID,Facchi Giuseppe Maurizio¹^ORCID,Pedersini Federico¹^ORCID,Sforza Chiarella⁴^ORCID,Tartaglia Gianluca M.⁵⁶^ORCID

Affiliation:

1. Department of Computer Science, University of Milan, Milan, Italy

2. University of Milan, Milan, Italy

3. U.O. Laboratorio di Morfologia Umana Applicata, IRCCS Policlinico San Donato, San Donato Milanese, Italy

4. LAFAS - Department of Biomedical Sciences for Health, University of Milan, Milan, Italy

5. Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy

6. UOC Maxillo-Facial Surgery and Dentistry Fondazione IRCCS Cà Granda, Ospedale Maggiore Policlinico, Milan, Italy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3605098.3636039

Reference40 articles.

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2. A Gender Recognition System Based on Facial Image

3. Face gender image classification using various wavelet transform and support vector machine with various kernels;Basha Amjath Fareeth;International Journal of Computer Science Issues (IJCSI),2012

4. Improving the Accuracy of Automatic Facial Expression Recognition in Speaking Subjects with Deep Learning

5. Keenan Crane, Marco Livesu, Enrico Puppo, and Yipeng Qin. 2020. A survey of algorithms for geodesic paths and distances. arXiv preprint arXiv:2007.10430 (2020).