no code implementations • 5 May 2021 • Rong Huang, Wei Yao, Yusheng Xu, Zhen Ye, Uwe Stilla
Registration is a fundamental but critical task in point cloud processing, which usually depends on finding element correspondence from two point clouds.
no code implementations • 24 Dec 2020 • Rong Huang, Yusheng Xu, Uwe Stilla
We conducted comprehensive experiments on two ALS point cloud datasets to evaluate the performance of our proposed framework.
1 code implementation • CVPR 2021 • Yan Xia, Yusheng Xu, Shuang Li, Rui Wang, Juan Du, Daniel Cremers, Uwe Stilla
We tackle the problem of place recognition from point cloud data and introduce a self-attention and orientation encoding network (SOE-Net) that fully explores the relationship between points and incorporates long-range context into point-wise local descriptors.
Ranked #5 on 3D Place Recognition on Oxford RobotCar Dataset (AR@1% metric)
1 code implementation • 8 Aug 2020 • Yan Xia, Yusheng Xu, Cheng Wang, Uwe Stilla
Moreover, a new refiner module is also presented to preserve the vehicle details from inputs and refine the complete outputs with fine-grained information.
no code implementations • 1 Apr 2019 • Jinguang Sun, Wanli Wang, Xian Wei, Li Fang, Xiaoliang Tang, Yusheng Xu, Hui Yu, Wei Yao
The high dimensionality of hyperspectral images often results in the degradation of clustering performance.