Zobrazeno 1 - 10
of 176
pro vyhledávání: '"Soon Ki Jung"'
Publikováno v:
IEEE Access, Vol 12, Pp 19344-19354 (2024)
Face privacy concerns revolve around the ethical, social, and technological implications of collecting, storing, and using facial data. With the advancement of deep learning techniques, realistic face privacy involves techniques that obscure or alter
Externí odkaz:
https://doaj.org/article/b86774a57ed34889beae8cf2c46eef39
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 129, Iss , Pp 103816- (2024)
Autoencoders (AEs) are central to hyperspectral anomaly detection, given their impressive efficacy. However, the current methodologies often neglect the global pixel similarity of the hyperspectral image (HsI), thereby limiting reconstruction accurac
Externí odkaz:
https://doaj.org/article/bd15311139e5440e9b54c89f01d512c2
Publikováno v:
IEEE Access, Vol 11, Pp 138882-138896 (2023)
Caricature is an exaggerated form of artistic portraiture that accentuates unique yet subtle characteristics of human faces. Recently, advancements in deep end-to-end techniques have yielded encouraging outcomes in capturing both style and elevated e
Externí odkaz:
https://doaj.org/article/86ff78fb63e146b59e6406da6e093c33
Publikováno v:
IEEE Access, Vol 10, Pp 121385-121394 (2022)
Early childhood learning is an important concern for the concept building of children. Students have been taught with traditional methods from the beginning. However, these methods lack kids’ attention. Application of Augmented Reality (AR) in a tr
Externí odkaz:
https://doaj.org/article/ef7ed0972829459b9ea6b5f7b7b53f90
Publikováno v:
IEEE Access, Vol 8, Pp 100857-100869 (2020)
Template based learning, particularly Siamese networks, has recently become popular due to balancing accuracy and speed. However, preserving tracker robustness against challenging scenarios with real-time speed is a primary concern for visual object
Externí odkaz:
https://doaj.org/article/19de3e4073fb4530ba6d1bdf4039e071
Autor:
Shifa Shaffique, Sehar Shahzad Farooq, Haseeb Anwar, Hafiz Muhammad Asif, Muhammad Akram, Soon Ki Jung
Publikováno v:
RADS Journal of Biological Research & Applied Science, Vol 11, Iss 1 (2020)
Background: The global burden on mental disorders have become too advanced with serious consequences on health and society. Over the years, depression, stress, and anxiety have become more common symptoms which affect all over population pyramid irre
Externí odkaz:
https://doaj.org/article/599bb45b2d154dd8876e95e41028bfcd
Publikováno v:
Sensors, Vol 20, Iss 13, p 3780 (2020)
CNN-based trackers, especially those based on Siamese networks, have recently attracted considerable attention because of their relatively good performance and low computational cost. For many Siamese trackers, learning a generic object model from a
Externí odkaz:
https://doaj.org/article/7cbf72e84a82463a90902c350001cc63
Publikováno v:
Sensors, Vol 20, Iss 14, p 4021 (2020)
We propose to improve the visual object tracking by introducing a soft mask based low-level feature fusion technique. The proposed technique is further strengthened by integrating channel and spatial attention mechanisms. The proposed approach is int
Externí odkaz:
https://doaj.org/article/2007a112c06445ebac3e36c69a0440b9
Autor:
Min Woo Park, Soon Ki Jung
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 13, Iss 2 (2014)
Many automobile companies and researchers have developed various safety systems to reduce fatalities by traffic accidents. In order to prevent traffic accidents by distracted driving, therefore, we present the vehicle and pedestrian detection using a
Externí odkaz:
https://doaj.org/article/f2c9b6710d684d0a88ec3889935b3a05
Publikováno v:
Neurocomputing. 506:240-251
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89739948fa7d97890a6c5f812d5e2965
https://doi.org/10.1016/j.neucom.2022.07.081
https://doi.org/10.1016/j.neucom.2022.07.081