Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Shruti Nagpal"'
Publikováno v:
IEEE Access, Vol 3, Pp 3010-3018 (2015)
Body weight variations are an integral part of a person's aging process. However, the lack of association between the age and the weight of an individual makes it challenging to model these variations for automatic face recognition. In this paper, we
Externí odkaz:
https://doaj.org/article/a3ece6eb22ad44afb241aba2a737bab0
Publikováno v:
IEEE Access, Vol 2, Pp 822-830 (2014)
With the increase in age, there are changes in skeletal structure, muscle mass, and body fat. For recognizing faces with age variations, researchers have generally focused on the skeletal structure and muscle mass. However, the effect of change in bo
Externí odkaz:
https://doaj.org/article/992c1f944d87477d950ccde3009b11e0
Publikováno v:
IEEE Transactions on Technology and Society. 4:54-67
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4781ae6a50ae7b51506c4bfe309b18dd
https://doi.org/10.1109/tts.2023.3241010
https://doi.org/10.1109/tts.2023.3241010
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 32:3895-3905
With increasing usage of face recognition algorithms, it is well established that external artifacts and makeup accessories can be applied to different facial features such as eyes, nose, mouth, and cheek, to obfuscate one’s identity or to imperson
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a9ef92389031ae25afa6c450b57d9f7
https://doi.org/10.1109/tcsvt.2021.3120772
https://doi.org/10.1109/tcsvt.2021.3120772
Autor:
Mayank Vatsa, Julie A. Brefczynski-Lewis, Naman Kohli, Gokulraj T Prabhakaran, Richa Singh, Afzel Noore, Shruti Nagpal, Harsh Mahajan, Prateekshit Pandey, Maneet Singh, Daksha Yadav
Publikováno v:
IJCNN
Face verification involves identifying whether two faces belong to the same person or not. It relies heavily upon face perception, processing, and the decision making of an individual. This research studies cross-domain face verification, where one f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e890bf5eb3ae892b917df907839a55a3
https://doi.org/10.1109/ijcnn52387.2021.9534242
https://doi.org/10.1109/ijcnn52387.2021.9534242
Publikováno v:
IJCNN
Low resolution fine-grained classification has widespread applicability for applications where data is captured at a distance such as surveillance and mobile photography. While fine-grained classification with high resolution images has received sign
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::435212ccb7b5d66a8a465fcb88a9f322
http://arxiv.org/abs/2105.00241
http://arxiv.org/abs/2105.00241
Publikováno v:
IJCB
Recent studies have highlighted a major caveat in various high performing automated systems for tasks such as facial analysis (e.g. gender prediction), object classification, and image to caption generation. Several of the existing systems have been
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acbead14082f7c3d7f18db95b99b9d95
https://doi.org/10.1109/ijcb48548.2020.9304931
https://doi.org/10.1109/ijcb48548.2020.9304931
Publikováno v:
CVPR Workshops
The widespread applicability of deep learning based algorithms demands dedicated attention towards ensuring unbiased behavior. Biased feature learning (for or against a particular sub-group) might often result in unfair predictions. In order to addre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6006e3766302874d8b3bde9d1588454f
https://doi.org/10.1109/cvprw50498.2020.00024
https://doi.org/10.1109/cvprw50498.2020.00024
Publikováno v:
AAAI
Face recognition algorithms have demonstrated very high recognition performance, suggesting suitability for real world applications. Despite the enhanced accuracies, robustness of these algorithms against attacks and bias has been challenged. This pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a06ec2636f2ed7601ca08069aad5514
Autor:
Dr.Ravi Chaturvedi, Shruti Nagpal
Publikováno v:
IOSR Journal of Humanities and Social Science. 22:01-06
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22b0b7c6102480463ab8d83120c67d61
https://doi.org/10.9790/0837-2206130106
https://doi.org/10.9790/0837-2206130106