no code implementations • 2 Oct 2023 • Zhenhua Xu, Yujia Zhang, Enze Xie, Zhen Zhao, Yong Guo, Kwan-Yee. K. Wong, Zhenguo Li, Hengshuang Zhao
Multimodal large language models (MLLMs) have emerged as a prominent area of interest within the research community, given their proficiency in handling and reasoning with non-textual data, including images and videos.
no code implementations • 16 Aug 2023 • Zhenhua Xu, Kwan-Yee. K. Wong, Hengshuang Zhao
Vectorized high-definition (HD) maps contain detailed information about surrounding road elements, which are crucial for various downstream tasks in modern autonomous vehicles, such as motion planning and vehicle control.
no code implementations • 21 Apr 2023 • Yuxuan Liu, Zhenhua Xu, Huaiyang Huang, Lujia Wang, Ming Liu
Predicting accurate depth with monocular images is important for low-cost robotic applications and autonomous driving.
no code implementations • 21 Sep 2022 • Zhenhua Xu, Yuxuan Liu, Yuxiang Sun, Ming Liu, Lujia Wang
To annotate road network graphs effectively and efficiently, automatic algorithms for road network graph detection are demanded.
no code implementations • 16 Sep 2022 • Zhenhua Xu, Yuxuan Liu, Yuxiang Sun, Ming Liu, Lujia Wang
Due to the use of the DETR-like transformer network, CenterLineDet can handle complicated graph topology, such as lane intersections.
no code implementations • 16 Feb 2022 • Zhenhua Xu, Yuxuan Liu, Lu Gan, Yuxiang Sun, Xinyu Wu, Ming Liu, Lujia Wang
To provide a solution to these problems, we propose a novel approach based on transformer and imitation learning in this paper.
no code implementations • 11 Nov 2021 • Zhenhua Xu, Yuxuan Liu, Lu Gan, Xiangcheng Hu, Yuxiang Sun, Ming Liu, Lujia Wang
To provide a solution to the aforementioned problems, in this letter, we propose a novel system termed csBoundary to automatically detect road boundaries at the city scale for HD map annotation.
no code implementations • 26 Jul 2021 • Zhenhua Xu, Yuxiang Sun, Lujia Wang, Ming Liu
To alleviate this issue, we detect road curbs offline using high-resolution aerial images in this paper.
1 code implementation • 31 Mar 2021 • Zhenhua Xu, Yuxiang Sun, Ming Liu
So in this paper, we propose a new benchmark dataset, named \textit{Topo-boundary}, for offline topological road-boundary detection.
1 code implementation • 31 Mar 2021 • Zhenhua Xu, Yuxiang Sun, Ming Liu
We find that the visual appearances between road areas and off-road areas are usually different in aerial images, so we propose a novel solution to detect road curbs off-line using aerial images.
no code implementations • 30 Jul 2020 • Qianwen Wang, Zhenhua Xu, Zhutian Chen, Yong Wang, Shixia Liu, Huamin Qu
The growing use of automated decision-making in critical applications, such as crime prediction and college admission, has raised questions about fairness in machine learning.
no code implementations • 16 Apr 2020 • Tianyu Liu, Qinghai Liao, Lu Gan, Fulong Ma, Jie Cheng, Xupeng Xie, Zhe Wang, Yingbing Chen, Yilong Zhu, Shuyang Zhang, Zhengyong Chen, Yang Liu, Meng Xie, Yang Yu, Zitong Guo, Guang Li, Peidong Yuan, Dong Han, Yuying Chen, Haoyang Ye, Jianhao Jiao, Peng Yun, Zhenhua Xu, Hengli Wang, Huaiyang Huang, Sukai Wang, Peide Cai, Yuxiang Sun, Yandong Liu, Lujia Wang, Ming Liu
Moreover, many countries have imposed tough lockdown measures to reduce the virus transmission (e. g., retail, catering) during the pandemic, which causes inconveniences for human daily life.