Title
Robust LSTM-Autoencoders for Face De-Occlusion in the Wild.
Abstract
Face recognition techniques have been developed significantly in recent years. However, recognizing faces with partial occlusion is still challenging for existing face recognizers, which is heavily desired in real-world applications concerning surveillance and security. Although much research effort has been devoted to developing face de-occlusion methods, most of them can only work well under con...
Year
DOI
Venue
2018
10.1109/TIP.2017.2771408
IEEE Transactions on Image Processing
Keywords
DocType
Volume
Face,Robustness,Face recognition,Image reconstruction,Decoding,Logic gates,Image restoration
Journal
27
Issue
ISSN
Citations 
2
1057-7149
9
PageRank 
References 
Authors
0.52
17
5
Name
Order
Citations
PageRank
Zhao, Fang1433.01
Jiashi Feng22165140.81
Jian Zhao3687.63
Wenhan Yang433935.40
Shuicheng Yan576725.71