Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Divyansh Aggarwal"'
Publikováno v:
IJCB
DNN-based face recognition models require large centrally aggregated face datasets for training. However, due to the growing data privacy concerns and legal restrictions, accessing and sharing face datasets has become exceedingly difficult. We propos
Publikováno v:
ICPR
Given a face image of a recovered child at age ageprobe, we search a gallery of missing children with known identities and age agegallery at which they were either lost or stolen in an attempt to unite the recovered child with his family. We propose
Publikováno v:
CVPR
We propose a framework, called LiftedGAN, that disentangles and lifts a pre-trained StyleGAN2 for 3D-aware face generation. Our model is "3D-aware" in the sense that it is able to (1) disentangle the latent space of StyleGAN2 into texture, shape, vie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd2ef545d2b44f772d4ce832d74b7607
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030129385
GCPR
GCPR
When judging style, a key question that often arises is whether or not a pair of objects are compatible with each other. In this paper we investigate how Siamese networks can be used efficiently for assessing the style compatibility between images of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21afac0c887e81ccca1d7adef4da9ebb
https://doi.org/10.1007/978-3-030-12939-2_38
https://doi.org/10.1007/978-3-030-12939-2_38
Publikováno v:
2017 Fourth International Conference on Image Information Processing (ICIIP).
Publikováno v:
ISBA
Biometric identification systems have become immensely popular and important because of their high reliability and efficiency. However person identification at a distance, still remains a challenging problem. Gait can be seen as an essential biometri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::257a20580c236fa856475359b5f5b949