Name
Abstract | ||
|---|---|---|
With the growing needs of practical applications such as security monitoring, partial face recognition is a challenging but important issue, because the captured faces in real-world surveillance videos may be occluded or with variations. Though current face recognition methods perform well in relatively constrained scenes, they may suffer from degradation for partial faces. In this paper, we propo... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TCSVT.2020.3047140 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | DocType | Volume |
Face recognition,Feature extraction,Probes,Encoding,Image reconstruction,Training,Videos | Journal | 31 |
Issue | ISSN | Citations |
11 | 1051-8215 | 0 |
PageRank | References | Authors |
0.34 | 20 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xinxin Shan | 1 | 0 | 1.35 |
| Yue Lu | 2 | 0 | 0.34 |
| Qingli Li | 3 | 8 | 6.68 |
| Ying Wen | 4 | 22 | 5.85 |