Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Byeongwon Lee"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract The hydrologic connectivity of non-floodplain wetlands (NFWs) with downstream water (DW) has gained increased importance, but connectivity via groundwater (GW) is largely unknown owing to the high complexity of hydrological processes and cli
Externí odkaz:
https://doaj.org/article/ee7296ad531647879c3ec59c662d5c63
Publikováno v:
대한환경공학회지, Vol 44, Iss 10, Pp 354-365 (2022)
Objectives This study aims to assess the applicability of the SWAT-C water quality model recently developed to predict in-stream Total Organic Carbon (TOC) in a watershed within South Korea. Methods The SWAT-C model was tested in the Hwangryong River
Externí odkaz:
https://doaj.org/article/f58e002e71b1494289f8ebdd6254b97b
Long-term trends in groundwater levels over the contiguous United States (CONUS) have been investigated for water resource management. Numerical modeling or remotely sensed data are frequently utilized as analytical tools; however, observational data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a7672502356a0334ba4fddb72108a65
https://doi.org/10.21203/rs.3.rs-1795906/v1
https://doi.org/10.21203/rs.3.rs-1795906/v1
Publikováno v:
ICPR
The deep learning technique has recently led to significant improvement in object detection accuracy. In many applications, object detection is performed on video data consisting of a sequence of two-dimensional (2D) image frames. Numerous object det
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42acc4066aac2f6e7a4de574607009b6
https://doi.org/10.1109/icpr48806.2021.9412715
https://doi.org/10.1109/icpr48806.2021.9412715
Publikováno v:
ICRA
In this paper, we propose a new video object detection (VoD) method, referred to as temporal feature aggregation and motion-aware VoD (TM-VoD), that produces a joint representation of temporal image sequences and object motion. The TM-VoD generates s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2735cce31562aac14120c8785582ead8
Autor:
Sungil Kang, Tuo Feng, Qinghua Hu, Sai Saketh Chennamsetty, Xudong Wei, Dheeraj Reddy Pailla, Lei Zhang, Keyang Wang, Srinivas S S Kruthiventi, Wei Dai, Hailin Shi, Xiaorui Wang, Almaz Zinollayev, Lars Sommer, Chang Liu, Xin Zhang, Shuhao Chen, Zhikang Wang, Jing Ge, Xinyao Wang, Aijin Li, Zichen Song, DeChun Cong, Jihoon Lee, Jingkai Zhou, Byeongwon Lee, Ziming Liu, Dawei Du, Jonas Meier, Furui Bai, Qingxuan Lv, Donghyeon Cho, Sungeun Hong, Anuar Askergaliyev, Chunlei Huo, Hongliang Li, Haitao Xiong, Xuankun Chen, Tong Wu, Wanqi Li, Kaiqi Huang, Yifu Chen, Aashish Kumar, Weida Qin, Hao Qi, Lianghua Huang, Yunxin Zhong, Ildoo Kim, Jun Won Choi, Junying Huang, Jingjing Xu, Xinyu Zhang, Huchuan Lu, Xindi Zhang, Qiang Chen, Xin Chen, Jiayu Zheng, Qishang Cheng, Changrui Chen, Yue Zhang, Guangyu Gao, Yu Heng Toh, Lin Sun, Lei Jin, Liefeng Bo, Jaekyum Kim, Dening Zeng, Yu Zhang, Xiaoyu Chen, Longyin Wen, Nuo Xu, Haibin Lin, Di Li, Xiao Bian, Xin Zhao, Yu Zhu, Da Yu, Pengyi Zhang, Lucas Steinmann, Guizhong Liu, Varghese Alex Kollerathu, Junhao Hu, Arne Schumann, Pengfei Zhu, Zexin Wang, Weiyang Wang, Dong Wang, Rui Zhu, George Jose, Tao Peng, Qiong Liu, Dongyu Zhang, Haoran Wang, Meixia Jia, Yanchao Li, Junyi Zhang, Xin Sun, Shuo Wei, Xuzhang Zhang, Binjie Mao, Heqian Qiu, Chunhong Pan, Jane Shen
Publikováno v:
ICCV Workshops
Recently, automatic visual data understanding from drone platforms becomes highly demanding. To facilitate the study, the Vision Meets Drone Object Detection in Image Challenge is held the second time in conjunction with the 17-th International Confe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c84b6a87daab3a2cf988bca7039b500
https://doi.org/10.1109/iccvw.2019.00030
https://doi.org/10.1109/iccvw.2019.00030