1 code implementation • 15 Apr 2024 • Jinyue Chen, Lingyu Kong, Haoran Wei, Chenglong Liu, Zheng Ge, Liang Zhao, Jianjian Sun, Chunrui Han, Xiangyu Zhang
To address this, we propose OneChart: a reliable agent specifically devised for the structural extraction of chart information.
no code implementations • 27 Mar 2024 • Liangyu Xu, Wanxuan Lu, Hongfeng Yu, Yongqiang Mao, Hanbo Bi, Chenglong Liu, Xian Sun, Kun fu
To address this issue, we introduce a novel task called Target-Aware Aerial Video Prediction, aiming to simultaneously predict future scenes and motion states of the target.
1 code implementation • 5 Jul 2023 • Chenglong Liu
More specifically, by leveraging the concept of non-local operations and mapping the features obtained from the backbone network to the graph structure space, we propose a unified self-focus mechanism for bitemporal images. This approach enhances the information coupling between the two temporal images while effectively suppressing task-irrelevant interference, Based on a streamlined backbone architecture, namely ResNet18, our model demonstrates superior performance compared to other state-of-the-art methods (SOTA) on the GZ CD dataset.
no code implementations • 1 Nov 2019 • Ziyuan Pu, Shuo Wang, Chenglong Liu, Zhiyong Cui, Yinhai Wang
A precise road surface friction prediction model can help to alleviate the influence of inclement road conditions on traffic safety, Level of Service, traffic mobility, fuel efficiency, and sustained economic productivity.