1 code implementation • 2 Feb 2024 • Zequan Chen, Jianping Li, Qusheng Li, Bisheng Yang, Zhen Dong
The experimental results demonstrate DeepAAT's substantial improvements over conventional AAT methods, highlighting its potential in the efficiency and accuracy of UAV-based 3D reconstruction tasks.
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.
1 code implementation • 21 Nov 2023 • Youqi Liao, Shuhao Kang, Jianping Li, Yang Liu, Yun Liu, Zhen Dong, Bisheng Yang, Xieyuanli Chen
Our framework features a two-stream encoder, an active fusion decoder (AFD) and a dual-task regularization approach.
1 code implementation • 5 Oct 2023 • Haiping Wang, YuAn Liu, Bing Wang, Yujing Sun, Zhen Dong, Wenping Wang, Bisheng Yang
Matching cross-modality features between images and point clouds is a fundamental problem for image-to-point cloud registration.
no code implementations • 26 Sep 2023 • Shuhao Kang, Youqi Liao, Jianping Li, Fuxun Liang, Yuhao Li, Fangning Li, Zhen Dong, Bisheng Yang
Specifically, In the coarse matching phase, a novel I2P transformer module is employed to capture both homogeneous and heterogeneous global information from the image and point cloud data.
1 code implementation • CVPR 2023 • Haiping Wang, YuAn Liu, Zhen Dong, Yulan Guo, Yu-Shen Liu, Wenping Wang, Bisheng Yang
Previous multiview registration methods rely on exhaustive pairwise registration to construct a densely-connected pose graph and apply Iteratively Reweighted Least Square (IRLS) on the pose graph to compute the scan poses.
1 code implementation • 24 Feb 2022 • Ruiqi Ma, Chi Chen, Bisheng Yang, Deren Li, Haiping Wang, Yangzi Cong, Zongtian Hu
At present, the anchor-based or anchor-free models that use LiDAR point clouds for 3D object detection use the center assigner strategy to infer the 3D bounding boxes.
no code implementations • 24 Jan 2022 • Zhigang Tu, Zhisheng Huang, Yujin Chen, Di Kang, Linchao Bao, Bisheng Yang, Junsong Yuan
We present a method for reconstructing accurate and consistent 3D hands from a monocular video.
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.
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.
1 code implementation • ICCV 2021 • Runsong Zhu, YuAn Liu, Zhen Dong, Tengping Jiang, YuAn Wang, Wenping Wang, Bisheng Yang
Existing works use a network to learn point-wise weights for weighted least squares surface fitting to estimate the normals, which has difficulty in finding accurate normals in complex regions or containing noisy points.
Ranked #5 on Surface Normals Estimation on PCPNet
1 code implementation • 12 Aug 2018 • Yue Pan, Bisheng Yang, Fuxun Liang, Zhen Dong
Then, we formulate the correspondence matching task as an energy function, which models the global similarity of keypoints on the hybrid spaces of BSC feature and Euclidean geometry.