1 code implementation • CVPR 2019 • Wenxiao Zhang, Chunxia Xiao
Point cloud based retrieval for place recognition is an emerging problem in vision field.
Ranked #9 on 3D Place Recognition on Oxford RobotCar Dataset (AR@1% metric)
1 code implementation • ECCV 2020 • Wenxiao Zhang, Qingan Yan, Chunxia Xiao
In this work, instead of using a global feature to recover the whole complete surface, we explore the functionality of multi-level features and aggregate different features to represent the known part and the missing part separately.
1 code implementation • 20 Sep 2021 • Chen Long, Wenxiao Zhang, Ruihui Li, Hao Wang, Zhen Dong, Bisheng Yang
Point cloud upsampling is to densify a sparse point set acquired from 3D sensors, providing a denser representation for the underlying surface.
2 code implementations • 23 Nov 2021 • Zhen Cao, Wenxiao Zhang, Xin Wen, Zhen Dong, Yu-Shen Liu, Xiongwu Xiao, Bisheng Yang
The student network takes the incomplete one as input and restores the corresponding complete shape.
no code implementations • CVPR 2022 • Tuo Cao, Fei Luo, Yanping Fu, Wenxiao Zhang, Shengjie Zheng, Chunxia Xiao
To this end, we proposed a Depth-Guided Edge Convolutional Network (DGECN) for 6D pose estimation task.
no code implementations • ICCV 2023 • Ziqi Wang, Fei Luo, Xiaoxiao Long, Wenxiao Zhang, Chunxia Xiao
Due to the limited resolution of 3D sensors and the inevitable mutual occlusion between objects, 3D scans of real scenes are commonly incomplete.
1 code implementation • 30 Nov 2023 • Chen Long, Wenxiao Zhang, Zhe Chen, Haiping Wang, YuAn Liu, Zhen Cao, Zhen Dong, Bisheng Yang
The key contributions of SparseDC are two-fold.
no code implementations • 15 Mar 2024 • Hang Zhang, Wenxiao Zhang, Haoxuan Qu, Jun Liu
Human-centered dynamic scene understanding plays a pivotal role in enhancing the capability of robotic and autonomous systems, in which Video-based Human-Object Interaction (V-HOI) detection is a crucial task in semantic scene understanding, aimed at comprehensively understanding HOI relationships within a video to benefit the behavioral decisions of mobile robots and autonomous driving systems.