Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Soo-Hyun Ryu"'
Autor:
Da Eun Kang, Yeong Bin An, Yeunju Kim, Seawon Ahn, Young Jin Kim, Jung Soo Lim, Soo Hyun Ryu, Hyoju Choi, Jiseon Yoo, Weon-Kyoo You, Dong-Yup Lee, Junsoo Park, Minsun Hong, Gyun Min Lee, Jong Youn Baik, Jong Kwang Hong
Publikováno v:
Applied Microbiology and Biotechnology. 107:2855-2870
Publikováno v:
Journal of psycholinguistic research. 51(6)
Formalization of the semantics of generics has been considered extremely challenging for their inherent vagueness and context-dependence that hinder a single fixed truth condition. The present study suggests a way to formalize the semantics of generi
Autor:
Yonghan Lee, Martin Humenberger, Suyong Yeon, Philippe Weinzaepfel, Gabriela Csurka, Nicolas Guérin, Soo-Hyun Ryu, Cheolho Han, Donghwan Lee, Deok-Hwa Kim, Yohann Cabon
Publikováno v:
CVPR
Estimating the precise location of a camera using visual localization enables interesting applications such as augmented reality or robot navigation. This is particularly useful in indoor environments where other localization technologies, such as GN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c747458a36469092fd90e72a14132331
http://arxiv.org/abs/2105.08941
http://arxiv.org/abs/2105.08941
Publikováno v:
Proceedings of the 25th Conference on Computational Natural Language Learning.
Autor:
Richard L. Lewis, Soo Hyun Ryu
Publikováno v:
CMLS
We advance a novel explanation of similarity-based interference effects in subject-verb and reflexive pronoun agreement processing, grounded in surprisal values computed from a pretrained large-scale Transformer model, GPT-2. Specifically, we show th
SpoxelNet: Spherical Voxel-based Deep Place Recognition for 3D Point Clouds of Crowded Indoor Spaces
Publikováno v:
IROS
With its essential role in achieving full autonomy of robot navigation, place recognition has been widely studied with various approaches. Recently, numerous point cloud-based methods with deep learning implementation have been proposed with promisin
Publikováno v:
Intelligent Service Robotics. 11:1-24
This paper presents a practical two-dimensional (2D)/three-dimensional (3D) simultaneous localization and mapping (SLAM) algorithm using directional features for ordinary indoor environments; this algorithm is adaptable to various conditions, computa
Publikováno v:
In Journal of Controlled Release 2005 105(3):249-259
Autor:
Han-Ul Kim, Jaehyeon Kang, Soo-Hyun Ryu, Janghun Hyeon, HyunGi Cho, Keon Yong Lee, Insik Baek, Nakju Lett Doh, Hyunga Choi, ChangHyun Jun, Suyong Yeon, Woonhyung Jung
Publikováno v:
IEEE Robotics and Automation Letters. 1:316-323
In indoor environments, there exists a few distinctive indoor spaces’ features (ISFs). However, up to our knowledge, there is no algorithm that fully utilizes ISF for accurate 3-D SLAM. In this letter, we suggest a sensor system that efficiently ca
Autor:
Soo-Hyun Ryu
Publikováno v:
Journal of the Korea Convergence Society. 6:163-169
This study was intended to suggest a new-concept construction method of permanent basement wall combined with earth retaining wall by using PHC piles to overcome the disadvantages of conventional CIP methods or the like which have been used just for