Zobrazeno 1 - 10
of 236
pro vyhledávání: '"He, Hongjie"'
3D urban scene reconstruction and modelling is a crucial research area in remote sensing with numerous applications in academia, commerce, industry, and administration. Recent advancements in view synthesis models have facilitated photorealistic 3D r
Externí odkaz:
http://arxiv.org/abs/2405.11021
Neural Radiance Field (NeRF) has recently become a significant development in the field of Computer Vision, allowing for implicit, neural network-based scene representation and novel view synthesis. NeRF models have found diverse applications in robo
Externí odkaz:
http://arxiv.org/abs/2210.00379
Publikováno v:
In Journal of Information Security and Applications August 2024 84
Autor:
Gonçalves, Diogo Nunes, Junior, José Marcato, Arruda, Mauro dos Santos de, Fernandes, Vanessa Jordão Marcato, Ramos, Ana Paula Marques, Furuya, Danielle Elis Garcia, Osco, Lucas Prado, He, Hongjie, Jorge, Lucio André de Castro, Li, Jonathan, Melgani, Farid, Pistori, Hemerson, Gonçalves, Wesley Nunes
Publikováno v:
In Heliyon 15 June 2024 10(11)
Publikováno v:
In Journal of Information Security and Applications June 2024 83
Publikováno v:
In Journal of Information Security and Applications May 2024 82
Autor:
Cai, Yuwei, Hu, Bingxu, He, Hongjie, Gao, Kyle, Xu, Hongzhang, Zhang, Ying, Pirasteh, Saied, Wang, Xiuqing, Chen, Wenping, Li, Huxiong
Publikováno v:
In The Egyptian Journal of Remote Sensing and Space Sciences March 2024 27(1):108-119
Surface displacements associated with the average subsidence due to hydrocarbon exploitation in southwest of Iran which has a long history in oil production, can lead to significant damages to surface and subsurface structures, and requires serious c
Externí odkaz:
http://arxiv.org/abs/2103.10985
Autor:
He, Hongjie, Yang, Ke, Cai, Yuwei, Jiang, Zijian, Yu, Qiutong, Zhao, Kun, Wang, Junbo, Fatholahi, Sarah Narges, Liu, Yan, Petrosians, Hasti Andon, Hu, Bingxu, Qing, Liyuan, Zhang, Zhehan, Xu, Hongzhang, Li, Siyu, Gao, Kyle, Xu, Linlin, Li, Jonathan
Building rooftop data are of importance in several urban applications and in natural disaster management. In contrast to traditional surveying and mapping, by using high spatial resolution aerial images, deep learning-based building rooftops extracti
Externí odkaz:
http://arxiv.org/abs/2103.09300
Autor:
Sun, Ke, Li, Zhen, Lian, Mengyu, Li, Quan, Wang, Rui, Gu, Yian, Lei, Peng, He, Hongjie, Xu, Hong, Sha, Feng, Sun, Liang
Publikováno v:
In International Journal of Biological Macromolecules January 2024 256 Part 2