Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Seokju Lee"'
Autor:
Yonghwan Kwon, Seokju Lee, Junkyu Kim, Jinwon Jun, Woojin Jeon, Youngjoo Park, Hyun-Joong Kim, Johannes Gierschner, Jaesang Lee, Youngdo Kim, Min Sang Kwon
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract In developing an organic light-emitting diode (OLED) panel for a foldable smartphone (specifically, a color filter on encapsulation) aimed at reducing power consumption, the use of a new optically clear adhesive (OCA) that blocks UV light wa
Externí odkaz:
https://doaj.org/article/d70ad3870a454df0bdfc2ee3494cc9fb
Autor:
Jin Wook Yang, Su Geun Ji, Chang-Seop Jeong, Jaehyun Kim, Hee Ryeong Kwon, Tae Hyung Lee, Lee, Sol A., Woo Seok Cheon, Seokju Lee, Hyungsoo Lee, Min Sang Kwon, Jooho Moon, Jin Young Kim, Ho Won Jang
Publikováno v:
Energy & Environmental Science; 4/7/2024, Vol. 17 Issue 7, p2541-2553, 13p
Publikováno v:
International Journal of Computer Vision. 130:2265-2285
Publikováno v:
IEEE Robotics and Automation Letters. 7:1103-1110
A thermal camera can robustly capture thermal radiation images under harsh light conditions such as night scenes, tunnels, and disaster scenarios. However, despite this advantage, neither depth nor ego-motion estimation research for the thermal camer
Publikováno v:
Robot Intelligence Technology and Applications 7 ISBN: 9783031268885
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e56fa6fbd2732b38ad18ba847fbd645a
https://doi.org/10.1007/978-3-031-26889-2_28
https://doi.org/10.1007/978-3-031-26889-2_28
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198298
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95572c9c51999470b5c3592c2ce4753a
https://doi.org/10.1007/978-3-031-19830-4_14
https://doi.org/10.1007/978-3-031-19830-4_14
Publikováno v:
CVPR
Convolutional neural network-based approaches have achieved remarkable progress in semantic segmentation. However, these approaches heavily rely on annotated data which are labor intensive. To cope with this limitation, automatically annotated data g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d16110af1b5b57febce92326c7edd15
http://arxiv.org/abs/2004.07703
http://arxiv.org/abs/2004.07703
Publikováno v:
IROS
We present a method for decomposing the 3D scene flow observed from a moving stereo rig into stationary scene elements and dynamic object motion. Our unsupervised learning framework jointly reasons about the camera motion, optical flow, and 3D motion
Publikováno v:
CVPR
In daily life, graphic symbols, such as traffic signs and brand logos, are ubiquitously utilized around us due to its intuitive expression beyond language boundary. We tackle an open-set graphic symbol recognition problem by one-shot classification w
Publikováno v:
Scopus-Elsevier
Dashboard cameras capture a tremendous amount of driving scene video each day. These videos are purposefully coupled with vehicle sensing data, such as from the speedometer and inertial sensors, providing an additional sensing modality for free. In t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6e4444c8f3abf8fb89fef4e6fd1aecc