no code implementations • 19 Jan 2024 • Wang Chao, Jiaxuan Zhao, Licheng Jiao, Lingling Li, Fang Liu, Shuyuan Yang
Pre-trained large language models (LLMs) have powerful capabilities for generating creative natural text.
no code implementations • 6 Mar 2023 • Cheng Chuanxiang, Yang Jia, Wang Chao, Zheng Zhi, Li Xiaopeng, Dong Di, Chang Mengxia, Zhuang Zhiheng
The use of ground control points (GCPs) for georeferencing is the most common strategy in unmanned aerial vehicle (UAV) photogrammetry, but at the same time their collection represents the most time-consuming and expensive part of UAV campaigns.
no code implementations • 21 Aug 2022 • Wang Chao, Liu Weisong, Li Xueqiong, Wang Xiang, Huang Zhitao
Compared to the PRI-based deinterleaving methods, the proposed method utilizes the multidimensional information of radar signals.
no code implementations • 26 Oct 2021 • Wang Chao, Sun Liting, Liu Zhangmeng, Huang Zhitao
Compared to other deinterleaving methods based on NNs, the SSD method does not need to digitize the data and train a network for each target type.
1 code implementation • 29 Nov 2017 • Ziqiang Zheng, Wang Chao, Zhibin Yu, Nan Wang, Haiyong Zheng, Bing Zheng
We present an approach for learning to translate faces in the wild from the source photo domain to the target caricature domain with different styles, which can also be used for other high-level image-to-image translation tasks.