no code implementations • 22 Jan 2024 • Zili Liu, Hao Chen, Lei Bai, Wenyuan Li, Keyan Chen, Zhengyi Wang, Wanli Ouyang, Zhengxia Zou, Zhenwei Shi
In this paper, we extend meteorological downscaling to arbitrary scattered station scales, establish a brand new benchmark and dataset, and retrieve meteorological states at any given station location from a coarse-resolution meteorological field.
no code implementations • 17 Jan 2024 • Zili Liu, Hao Chen, Wenyuan Li, Keyan Chen, Zipeng Qi, Chenyang Liu, Zhengxia Zou, Zhenwei Shi
This paper is the first to consider the impact of label noise on the detection of clouds and snow in remote sensing images.
1 code implementation • 4 Jan 2024 • Wenyuan Li, Zili Liu, Keyan Chen, Hao Chen, Shunlin Liang, Zhengxia Zou, Zhenwei Shi
Next, we construct hyper-networks based on deep learning methods to directly learn weather patterns from a large amount of meteorological data.
2 code implementations • 23 Dec 2023 • Keyan Chen, Chengyang Liu, Wenyuan Li, Zili Liu, Hao Chen, Haotian Zhang, Zhengxia Zou, Zhenwei Shi
Change detection, a prominent research area in remote sensing, is pivotal in observing and analyzing surface transformations.
Ranked #6 on Change Detection on LEVIR-CD
1 code implementation • 7 Aug 2022 • Honghui Yang, Zili Liu, Xiaopei Wu, Wenxiao Wang, Wei Qian, Xiaofei He, Deng Cai
The dynamic farthest voxel sampling is then applied to evenly sample the points.
no code implementations • 27 Feb 2022 • Zili Liu, Kun Hao, Xiaoyi Geng, Zhenwei Shi
Tropical cyclone (TC) is an extreme tropical weather system and its trajectory can be described by a variety of spatio-temporal data.
1 code implementation • 1 Apr 2021 • Tu Zheng, Shuai Zhao, Yang Liu, Zili Liu, Deng Cai
In this paper, we propose Side Overlap~(SO) loss by maximizing the side overlap of two bounding boxes, which puts more penalty for low overlapping bounding box cases.
1 code implementation • 18 Mar 2021 • Zili Liu, Guodong Xu, Honghui Yang, Minghao Chen, Kuoliang Wu, Zheng Yang, Haifeng Liu, Deng Cai
In this work, we propose a suppress-and-refine framework to remove these handcrafted components.
no code implementations • 1 Apr 2020 • Guodong Xu, Wenxiao Wang, Zili Liu, Liang Xie, Zheng Yang, Haifeng Liu, Deng Cai
3D object detection based on point clouds has become more and more popular.
6 code implementations • 2 Sep 2019 • Zili Liu, Tu Zheng, Guodong Xu, Zheng Yang, Haifeng Liu, Deng Cai
Experiments on MS COCO show that our TTFNet has great advantages in balancing training time, inference speed, and accuracy.