Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Ju Hong Yoon"'
Autor:
Jae Won Oh, Sun Mi Kim, Deokjong Lee, Nak-Hoon Son, Jinsun Uh, Ju Hong Yoon, Yukyung Choi, San Lee
Publikováno v:
JMIR Mental Health, Vol 10, p e45543 (2023)
BackgroundThe Patient Health Questionnaire-2 (PHQ-2) and Insomnia Severity Index-2 (ISI-2) are screening assessments that reflect the past 2-week experience of depression and insomnia, respectively. Retrospective assessment has been associated with r
Externí odkaz:
https://doaj.org/article/b9afaa6cdfa34f8cbad80b13696e1332
Publikováno v:
IEEE Access, Vol 9, Pp 32457-32466 (2021)
We present a simple but effective video interpolation framework that can be applied to various types of videos including conventional videos and 360° videos. Our main idea is to predict the latent feature of an intermediate frame, through the latent
Externí odkaz:
https://doaj.org/article/afdc80f696294d629db1555e9147fbfd
Publikováno v:
Symmetry, Vol 15, Iss 1, p 25 (2022)
We present a simple yet effective pipeline for absolute three-dimensional (3D) human pose estimation from two-dimensional (2D) joint keypoints, namely, the 2D-to-3D human pose lifting problem. Our method comprises two simple baseline networks, a 3D c
Externí odkaz:
https://doaj.org/article/1b870c048e1f4e33b0d0739616b89795
Publikováno v:
Sensors, Vol 18, Iss 7, p 2345 (2018)
A low-cost inertial measurement unit (IMU) and a rolling shutter camera form a conventional device configuration for localization of a mobile platform due to their complementary properties and low costs. This paper proposes a new calibration method t
Externí odkaz:
https://doaj.org/article/7b8c38eb23064a649e42e718b874d17c
Autor:
Junseok Park, Youngbae Hwang, Ju-Hong Yoon, Min-Gyu Park, Jungho Kim, Yun Jeong Lim, Hoon Jai Chun
Publikováno v:
Clinical Endoscopy, Vol 52, Iss 4, Pp 328-333 (2019)
Capsule endoscopy (CE) is a preferred diagnostic method for analyzing small bowel diseases. However, capsule endoscopes capture a sparse number of images because of their mechanical limitations. Post-procedural management using computational methods
Externí odkaz:
https://doaj.org/article/b01097a76ebd476a88b3cc4e66cfb591
Autor:
Jae Won Oh, Sun Mi Kim, Deokjong Lee, Nak-Hoon Son, Jinsun Uh, Ju Hong Yoon, Yukyung Choi, San Lee
BACKGROUND The Patient Health Questionnaire-2 (PHQ-2) and Insomnia Severity Index-2 (ISI-2) are screening assessments that reflect the past 2-week experience of depression and insomnia, respectively. Retrospective assessment has been associated with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30c66412a44980275a97bb87c0c6588e
https://doi.org/10.2196/preprints.45543
https://doi.org/10.2196/preprints.45543
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0b901997f0f20a9b023be7406e39cae
https://doi.org/10.2139/ssrn.4144352
https://doi.org/10.2139/ssrn.4144352
Autor:
Hoon Jai Chun, Yun Jeong Lim, Jun-Seok Park, Youngbae Hwang, Min-Gyu Park, Ju Hong Yoon, Jungho Kim
Publikováno v:
Clinical Endoscopy
Clinical Endoscopy, Vol 52, Iss 4, Pp 328-333 (2019)
Clinical Endoscopy, Vol 52, Iss 4, Pp 328-333 (2019)
Capsule endoscopy (CE) is a preferred diagnostic method for analyzing small bowel diseases. However, capsule endoscopes capture a sparse number of images because of their mechanical limitations. Post-procedural management using computational methods
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38d5dc25e626d885aeb135586250c252
http://europepmc.org/articles/PMC6680009
http://europepmc.org/articles/PMC6680009
Publikováno v:
ICAIIC
Modern 3D human pose estimation builds on a deep learning network, requiring expensive amounts of training data that contain pairs of 2D and 3D pose annotations. In this paper, we propose a self-supervised 3D human pose estimation without 3D annotati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f2175fe162f97791534d17d696aa5e5
https://doi.org/10.1109/icaiic51459.2021.9415244
https://doi.org/10.1109/icaiic51459.2021.9415244
Publikováno v:
ICAIIC
We present an efficient approach to reconstruct a human body from a single depth map, captured by a commercial depth camera or a stereo depth sensor. The underlying idea is to predict the rear side depth map through the deep network because the rear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d438fa8158ee4b669606104d593dda3
https://doi.org/10.1109/icaiic51459.2021.9415231
https://doi.org/10.1109/icaiic51459.2021.9415231