activity
20192026
most citedLaplacian2Mesh: Laplacian-Based Mesh Understanding

57 citations · 130 across the 22 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.CV2023

OAAFormer: Robust and Efficient Point Cloud Registration Through Overlapping-Aware Attention in Transformer

Junjie Gao, Qiujie Dong, Ruian Wang +4

In the domain of point cloud registration, the coarse-to-fine feature matching paradigm has received substantial attention owing to its impressive performance. This paradigm involv…

cs.CV2023★ 4 cited

Neural-Singular-Hessian: Implicit Neural Representation of Unoriented Point Clouds by Enforcing Singular Hessian

Zixiong Wang, Yunxiao Zhang, Rui Xu +6

Neural implicit representation is a promising approach for reconstructing surfaces from point clouds. Existing methods combine various regularization terms, such as the Eikonal and…

cs.GR2023★ 13 cited

P2M: A Fast Solver for Querying Distance from Point to Mesh Surface

Chen Zong, Jiacheng Xu, Jiantao Song +4

Most of the existing point-to-mesh distance query solvers, such as Proximity Query Package (PQP), Embree and Fast Closest Point Query (FCPW), are based on bounding volume hierarchy…

cs.CV2023

A Task-driven Network for Mesh Classification and Semantic Part Segmentation

Qiujie Dong, Xiaoran Gong, Rui Xu +5

With the rapid development of geometric deep learning techniques, many mesh-based convolutional operators have been proposed to bridge irregular mesh structures and popular backbon…

cs.GR2023★ 1 cited

Globally Consistent Normal Orientation for Point Clouds by Regularizing the Winding-Number Field

Rui Xu, Zhiyang Dou, Ningna Wang +6

Estimating normals with globally consistent orientations for a raw point cloud has many downstream geometry processing applications. Despite tremendous efforts in the past decades,…