Name
Abstract | ||
|---|---|---|
Humans can communicate emotions through a plethora of facial expressions, each with its own intensity, nuances and ambiguities. The generation of such variety by means of conditional GANs is limited to the expressions encoded in the used label system. These limitations are caused either due to burdensome labelling demand or the confounded label space. On the other hand, learning from inexpensive a... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/CVPR46437.2021.00063 | 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) |
Keywords | DocType | ISSN |
Training,Computer vision,Image synthesis,Computational modeling,Aerospace electronics,Search problems,Pattern recognition | Conference | 1063-6919 |
ISBN | Citations | PageRank |
978-1-6654-4509-2 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stefano d'Apolito | 1 | 0 | 0.34 |
| Danda Pani Paudel | 2 | 14 | 4.25 |
| Zhiwu Huang | 3 | 252 | 15.26 |
| Andrés Romero | 4 | 0 | 0.68 |
| Luc Van Gool | 5 | 27566 | 1819.51 |