Face Embedding Learning
Face Embedding Learning is a machine learning approach in computer vision that belongs to the category of representation learning methods, specifically designed to map facial images into a compact, discriminative latent space where geometric relationships reflect facial identity similarity.
291
Publications
29.1K
Citations
960
Authors
380
Institutions
Publications per year
2017–2026
204
Parents
291
FaceNet: A unified embedding for face recognition and clustering
2015 · 11.2K citations · Full text
Identifying facial phenotypes of genetic disorders using deep learning
Yaron Gurovich, Yair Hanani, Omri Bar et al. · Nature Medicine · 2018 · 732 citations
MagFace: A Universal Representation for Face Recognition and Quality Assessment
Qiang Meng, Shichao Zhao, Zhida Huang et al. · 2021 · 573 citations
1–5 of 291
960
6
h-index
Fraunhofer Institute for Computer Graphics Research, Germany
5 publications · 251 citations
5
h-index
4
h-index
4
h-index
Fraunhofer Institute for Computer Graphics Research, Germany
4 publications · 147 citations
4
h-index
1–5 of 960
380

Chinese Academy of Sciences
Beijing, China
12 h-index
35 publications
2.6K citations
Nanjing University of Science and Technology
Nanjing, China
10 h-index
26 publications
773 citations
University of Science and Technology of China
Hefei, China
8 h-index
23 publications
2.3K citations

Harbin Institute of Technology
Harbin, China
7 h-index
15 publications
403 citations
University of Chinese Academy of Sciences
Beijing, China
7 h-index
21 publications
2.3K citations
Wuhan University
Wuhan, China
6 h-index
28 publications
2.1K citations
Chongqing University of Posts and Telecommunications
Chongqing, China
6 h-index
9 publications
224 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
5 h-index
9 publications
359 citations
1–8 of 380
30 publications · 2K citations
22
h-index
27 publications · 872 citations
18
h-index
Repository · 14 publications · 583 citations
13
h-index
10 publications · 438 citations
10
h-index
9 publications · 676 citations
9
h-index
1–5