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Yong Liu

17 papers hereh-index 221.6k citations33 works total

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

author position
  • middle author12
  • last author5

Across the 17 of 17 papers where every author was matched, so the position is known.

fields
  • cs.RO9
  • cs.CV8
same name
  • Yong Liu — 49 papers, h 75
  • Yong Liu — 40 papers, h 16
  • Yong Liu — 29 papers, h 22
  • Yong Liu — 28 papers, h 14
  • Yong Liu — 24 papers, h 13
  • Yong Liu — 23 papers, h 12

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
20192023
most citedPASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud

13 citations · 73 across the 17 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CV2021★ 4 cited

Semantic Segmentation-assisted Scene Completion for LiDAR Point Clouds

Xuemeng Yang, Hao Zou, Xin Kong +5

Outdoor scene completion is a challenging issue in 3D scene understanding, which plays an important role in intelligent robotics and autonomous driving. Due to the sparsity of LiDA…

cs.RO2021★ 1 cited

CLINS: Continuous-Time Trajectory Estimation for LiDAR-Inertial System

Jiajun Lv, Kewei Hu, Jinhong Xu +3

In this paper, we propose a highly accurate continuous-time trajectory estimation framework dedicated to SLAM (Simultaneous Localization and Mapping) applications, which enables fu…

cs.CV2021★ 2 cited

SSC: Semantic Scan Context for Large-Scale Place Recognition

Lin Li, Xin Kong, Xiangrui Zhao +2

Place recognition gives a SLAM system the ability to correct cumulative errors. Unlike images that contain rich texture features, point clouds are almost pure geometric information…

cs.RO2021★ 3 cited

SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure

Lin Li, Xin Kong, Xiangrui Zhao +4

LiDAR-based SLAM system is admittedly more accurate and stable than others, while its loop closure detection is still an open issue. With the development of 3D semantic segmentatio…

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