Zobrazeno 1 - 10
of 261
pro vyhledávání: '"Ig-Jae Kim"'
Publikováno v:
IEEE Access, Vol 12, Pp 43530-43539 (2024)
In the field of face frontalization, the model obtained by training on a particular dataset often underperforms on other datasets. This paper presents the Pre-trained Feature Transformation GAN (PFT-GAN), which is designed to fully utilize diverse fa
Externí odkaz:
https://doaj.org/article/0623a985be3a4ed7bf903cb30e0b5e75
Publikováno v:
IEEE Access, Vol 11, Pp 9279-9294 (2023)
To train deep learning models for vision-based action recognition of elders’ daily activities, we need large-scale activity datasets acquired under various daily living environments and conditions. However, most public datasets used in human action
Externí odkaz:
https://doaj.org/article/d5257e85ff2241949c7ac7f9d67e5cf3
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Childhood to adolescence is an accelerated growth period, and genetic features can influence differences of individual growth patterns. In this study, we examined the genetic basis of early age facial growth (EAFG) patterns. Facial shape phe
Externí odkaz:
https://doaj.org/article/8b19aba40c57420088e4039e866dcbb1
Publikováno v:
IEEE Access, Vol 10, Pp 91739-91749 (2022)
We present a robust skeleton-based action recognition method with graph convolutional network (GCN) that uses the new adjacency matrix, called Rank-GCN. In Rank-GCN, the biggest change from previous approaches is how the adjacency matrix is generated
Externí odkaz:
https://doaj.org/article/6831d2c88ec545c98886cbf6d2e7d824
Publikováno v:
IEEE Access, Vol 8, Pp 142423-142433 (2020)
This study proposes a novel face detector called DEFace that focuses on the challenging tasks of face detection to cope with a small size that is under 12 pixels and occlusions due to a mask or human body parts. This study proposed the extended featu
Externí odkaz:
https://doaj.org/article/3b289f0819f44f66b6973cf9683b3d5e
Publikováno v:
IEEE Access, Vol 8, Pp 164065-164076 (2020)
Accurate pose estimation of planar objects is a key computation in visual localization tasks, with recent studies showing remarkable progress on a handful of baseline datasets. Nonetheless, achieving similar performance on sequences in unconstrained
Externí odkaz:
https://doaj.org/article/73b92232799549f6b9ae83b738d0c4bb
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 7:1-28
Digitally replicating the appearance and behaviour of individuals is becoming feasible with recent advancements in deep-learning technologies such as interactive deepfake applications, voice conversion, and virtual actors. Interactive applications of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f5357301b598137996b451726921323
https://doi.org/10.1145/3579524
https://doi.org/10.1145/3579524
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:20601-20613
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::460cee6cda755c148777516b34472649
https://doi.org/10.1109/tits.2022.3170648
https://doi.org/10.1109/tits.2022.3170648
Publikováno v:
Sensors, Vol 21, Iss 21, p 7294 (2021)
Custom inspection using X-ray imaging is a very promising application of modern pattern recognition technology. However, the lack of data or renewal of tariff items makes the application of such technology difficult. In this paper, we present a data
Externí odkaz:
https://doaj.org/article/35adbe6a39f94563a90fff1916f4e633
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. :1-10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fa34579e6e673b62982b041a32b6629
https://doi.org/10.1109/tits.2022.3222769
https://doi.org/10.1109/tits.2022.3222769