Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Zhang, Dehuan"'
Neural Radiance Field (NeRF) technology demonstrates immense potential in novel viewpoint synthesis tasks, due to its physics-based volumetric rendering process, which is particularly promising in underwater scenes. Addressing the limitations of exis
Externí odkaz:
http://arxiv.org/abs/2312.06946
Visually restoring underwater scenes primarily involves mitigating interference from underwater media. Existing methods ignore the inherent scale-related characteristics in underwater scenes. Therefore, we present the synergistic multi-scale detail r
Externí odkaz:
http://arxiv.org/abs/2308.11932
Publikováno v:
In Information Fusion November 2024 111
Autor:
Zhou, Jingchun, Chen, Shuhan, Zhang, Dehuan, He, Zongxin, Lam, Kin-Man, Sohel, Ferdous, Vivone, Gemine
Publikováno v:
In ISPRS Journal of Photogrammetry and Remote Sensing October 2024 216:15-31
Autor:
Zhang, Dehuan, Guo, Yakun, Zhou, Jingchun, Zhang, Weishi, Lin, Zifan, Polat, Kemal, Alenezi, Fayadh, Alhudhaif, Adi
Publikováno v:
In Expert Systems With Applications 15 May 2024 242
Publikováno v:
In Journal of Visual Communication and Image Representation February 2024 98
Autor:
Zhang, Dehuan, Wu, Chenyu, Zhou, Jingchun, Zhang, Weishi, Lin, Zifan, Polat, Kemal, Alenezi, Fayadh
Publikováno v:
In Neural Networks January 2024 169:685-697
Publikováno v:
In Information Fusion March 2025 115
Autor:
Zhang, Dehuan, Zhou, Jingchun, Zhang, Weishi, Lin, Zifan, Yao, Jian, Polat, Kemal, Alenezi, Fayadh, Alhudhaif, Adi
Publikováno v:
In Expert Systems With Applications 30 November 2023 231
Publikováno v:
In Engineering Applications of Artificial Intelligence October 2023 125