1 code implementation • ECCV 2020 • Guangming Wu, Yinqiang Zheng, Zhiling Guo, Zekun Cai, Xiaodan Shi, Xin Ding, Yifei HUANG, Yimin Guo, Ryosuke Shibasaki
In silicon sensors, the interference between visible and near-infrared (NIR) signals is a crucial problem.
no code implementations • 9 Jul 2023 • Zhiling Guo, Xiaodan Shi, Haoran Zhang, Dou Huang, Xiaoya Song, Jinyue Yan, Ryosuke Shibasaki
The development of remote sensing and deep learning techniques has enabled building semantic segmentation with high accuracy and efficiency.
no code implementations • 24 Jun 2023 • Zhiling Guo, Yinqiang Zheng, Haoran Zhang, Xiaodan Shi, Zekun Cai, Ryosuke Shibasaki, Jinyue Yan
In recent years, single-frame image super-resolution (SR) has become more realistic by considering the zooming effect and using real-world short- and long-focus image pairs.
no code implementations • 28 Sep 2018 • Zhiling Guo, Hiroaki Shengoku, Guangming Wu, Qi Chen, Wei Yuan, Xiaodan Shi, Xiaowei Shao, Yongwei Xu, Ryosuke Shibasaki
The results indicate the proposed method can serve as a viable tool for urban planning map semantic segmentation task with high accuracy and efficiency.
2 code implementations • 10 Sep 2018 • Guangming Wu, Zhiling Guo
However, these methods are implemented and evaluated through various datasets and deep learning frameworks.
no code implementations • 25 Jul 2018 • Qi Chen, Lei Wang, Yifan Wu, Guangming Wu, Zhiling Guo, Steven L. Waslander
In this paper, we present a new large-scale benchmark dataset termed Aerial Imagery for Roof Segmentation (AIRS).