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researcher

Kai Xu

56 papers hereh-index 496.6k citations141 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author28
  • last author21

Across the 52 of 56 papers where every author was matched, so the position is known.

fields
  • cs.CV30
  • cs.RO10
  • cs.GR9
  • cs.LG3
  • cs.CG1
  • cs.SI1
same name
  • Kai Xu — 47 papers, h 24
  • Kai Xu — 23 papers, h 9
  • Kai Xu — 18 papers, h 6
  • Kai Xu — 15 papers, h 7
  • Kai Xu — 15 papers, h 6
  • Kai Xu — 12 papers, h 8

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152023
most citedMLCVNet: Multi-Level Context VoteNet for 3D Object Detection

28 citations · 120 across the 20 of their papers we have counts for

collaborators
Showing 2021 · cs.CVShow all

4 papers · 2 filters

cs.CV2021

ROSEFusion: Random Optimization for Online Dense Reconstruction under Fast Camera Motion

Jiazhao Zhang, Chenyang Zhu, Lintao Zheng +1

Online reconstruction based on RGB-D sequences has thus far been restrained to relatively slow camera motions (<1m/s). Under very fast camera motion (e.g., 3m/s), the reconstructio…

cs.CV2021

Potential Convolution: Embedding Point Clouds into Potential Fields

Dengsheng Chen, Haowen Deng, Jun Li +3

Recently, various convolutions based on continuous or discrete kernels for point cloud processing have been widely studied, and achieve impressive performance in many applications,…

cs.CV2021★ 2 cited

StablePose: Learning 6D Object Poses from Geometrically Stable Patches

Yifei Shi, Junwen Huang, Xin Xu +2

We introduce the concept of geometric stability to the problem of 6D object pose estimation and propose to learn pose inference based on geometrically stable patches extracted from…

cs.CV2021

Learning Fine-Grained Segmentation of 3D Shapes without Part Labels

Xiaogang Wang, Xun Sun, Xinyu Cao +2

Learning-based 3D shape segmentation is usually formulated as a semantic labeling problem, assuming that all parts of training shapes are annotated with a given set of tags. This a…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.