Publications

Super-Resolution Face Recognition: An Approach Using Generative Adversarial Networks and Joint-Learn

AuthID
P-00X-YZN

Author(s)

de Oliveira, RA

Scheeren, MH

Rodrigues, PJS

Candido, A

de Paula, PL

Editor(s)

Kosir,A;Fernandes,FP;Pacheco,MF;Teixeira,JP;Lopes,RP;Pereira,AI

Document Type

Proceedings Paper

Year published

2022

Published

in OPTIMIZATION, LEARNING ALGORITHMS AND APPLICATIONS, OL2A 2022 in Communications in Computer and Information Science, ISSN: 1865-0929

Volume: 1754, Pages: 747-762 (16)

Conference

2Nd International Conference on Optimization, Learning Algorithms and Applications (Ol2A), Date: OCT 24-25, 2022, Location: Povoa de Varzim, PORTUGAL

Indexing

Wos^®

Scopus^®

Google Scholar^®

Metadata
Sources

Publication Identifiers

DOI: 10.1007/978-3-031-23236-7_51

Scopus: 2-s2.0-85147987485

Wos: WOS:000976814900051

Source Identifiers

ISSN: 1865-0929

Export Publication Metadata

Marked List

Add to Marked List

Info

At this moment we don't have any links to full text documens.

Super-Resolution Face Recognition: An Approach Using Generative Adversarial Networks and Joint-Learn

Useful Links

Get Help

Federated Authentication (Click on the image)

Super-Resolution Face Recognition: An Approach Using Generative Adversarial Networks and Joint-Learn

Useful Links

Get Help