Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Daksha Yadav"'
Autor:
David Yambay, Priyanka Das, Aidan Boyd, Joseph McGrath, Zhaoyuan Fang, Adam Czajka, Stephanie Schuckers, Kevin Bowyer, Mayank Vatsa, Richa Singh, Afzel Noore, Naman Kohli, Daksha Yadav, Mateusz Trokielewicz, Piotr Maciejewicz, Amir Mohammadi, Sébastien Marcel
Publikováno v:
Handbook of Biometric Anti-Spoofing ISBN: 9789811952876
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de6fdecb84ecd8f237541f190a878ac3
https://doi.org/10.1007/978-981-19-5288-3_7
https://doi.org/10.1007/978-981-19-5288-3_7
Publikováno v:
IEEE Access, Vol 3, Pp 2572-2580 (2015)
Researchers have shown that the changes in face features due to plastic surgery can be modeled as a covariate that reduces the ability of algorithms to recognize a person's identity. Traditional dictionary learning methods learn a sparse representati
Externí odkaz:
https://doaj.org/article/c2ae3d4514ab415899332b002bf61d28
Publikováno v:
Nursing Journal of India. :180-185
In wound dressing procedures, if wound contamination is limited, there is a less chance of infection. A recent survey in India estimated the prevalence rate of chronic wounds at 4.5 per 1000 population. In this study the practice of wound dressing te
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
Publikováno v:
IEEE Transactions on Image Processing. 28:1329-1341
Identifying kinship relations has garnered interest due to several applications such as organizing and tagging the enormous amount of videos being uploaded on the Internet. Existing research in kinship verification primarily focuses on kinship predic
Publikováno v:
PLoS ONE, Vol 9, Iss 12, p e112234 (2014)
Humans utilize facial appearance, gender, expression, aging pattern, and other ancillary information to recognize individuals. It is interesting to observe how humans perceive facial age. Analyzing these properties can help in understanding the pheno
Externí odkaz:
https://doaj.org/article/a02cedf0930045d5aa05ec2cb6f1a68f
Publikováno v:
ICPR
In this paper, we propose a novel algorithm for matching faces with temporal variations caused due to age progression. The proposed generative adversarial network algorithm is a unified framework that combines facial age estimation and age-separated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5ce80368eb27a87c71264e3ccbe3f46
http://arxiv.org/abs/2011.05897
http://arxiv.org/abs/2011.05897
Publikováno v:
CVPR Workshops
The ubiquitous use of smartphones has spurred the research in mobile iris devices. Due to their convenience, these mobile devices are also utilized in unconstrained outdoor conditions. This scenario has necessitated the development of reliable iris r