1 code implementation • 5 Jun 2024 • Han Li, Zehao Huang, Zitian Wang, Wenge Rong, Naiyan Wang, Si Liu
3D lane detection and topology reasoning are essential tasks in autonomous driving scenarios, requiring not only detecting the accurate 3D coordinates on lane lines, but also reasoning the relationship between lanes and traffic elements.
no code implementations • 12 Mar 2024 • Jiahui Fu, Chen Gao, Zitian Wang, Lirong Yang, Xiaofei Wang, Beipeng Mu, Si Liu
Recent 3D object detectors typically utilize multi-sensor data and unify multi-modal features in the shared bird's-eye view (BEV) representation space.
1 code implementation • 17 Oct 2023 • Bo Jiang, Zitian Wang, Xixi Wang, Ziyan Zhang, Lan Chen, Xiao Wang, Bin Luo
Then, each pixel of feature map is regarded as a graph node and the graph neural network is proposed to model the structured information for coarse change map prediction.
1 code implementation • ICCV 2023 • Zitian Wang, Zehao Huang, Jiahui Fu, Naiyan Wang, Si Liu
Existing methods mainly establish 3D representations from multi-view images and adopt a dense detection head for object detection, or employ object queries distributed in 3D space to localize objects.
no code implementations • 4 Oct 2022 • Xiangjian Jiang, Xuecheng Nie, Zitian Wang, Luoqi Liu, Si Liu
Existing methods for human mesh recovery mainly focus on single-view frameworks, but they often fail to produce accurate results due to the ill-posed setup.
1 code implementation • CVPR 2022 • Zitian Wang, Xuecheng Nie, Xiaochao Qu, Yunpeng Chen, Si Liu
In this paper, we present a novel Distribution-Aware Single-stage (DAS) model for tackling the challenging multi-person 3D pose estimation problem.
3D Multi-Person Pose Estimation (absolute) 3D Multi-Person Pose Estimation (root-relative) +2
no code implementations • 24 May 2021 • Si Liu, Zitian Wang, Yulu Gao, Lejian Ren, Yue Liao, Guanghui Ren, Bo Li, Shuicheng Yan
For the above exemplar case, our HRS task produces results in the form of relation triplets <girl [left hand], hold, book> and exacts segmentation masks of the book, with which the robot can easily accomplish the grabbing task.