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researcher

Ming Liu

57 papers hereh-index 498.4k citations173 works total

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

author position
  • middle author18
  • last author33

Across the 51 of 57 papers where every author was matched, so the position is known.

fields
  • cs.RO31
  • cs.CV25
  • eess.SY1
same name
  • Ming Liu — 65 papers, h 87
  • Ming Liu — 41 papers, h 12
  • Ming Liu — 29 papers, h 8
  • Ming Liu — 24 papers, h 6
  • Ming Liu — 19 papers, h 9
  • Ming Liu — 14 papers, h 14

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
20162021
most citedRoad Damage Detection Based on Unsupervised Disparity Map Segmentation

136 citations · 633 across the 35 of their papers we have counts for

collaborators
Showing 2021 · cs.ROShow all

4 papers · 2 filters

cs.RO2021★ 1 cited

R-PCC: A Baseline for Range Image-based Point Cloud Compression

Sukai Wang, Jianhao Jiao, Peide Cai +1

In autonomous vehicles or robots, point clouds from LiDAR can provide accurate depth information of objects compared with 2D images, but they also suffer a large volume of data, wh…

cs.RO2021★ 1 cited

On Bundle Adjustment for Multiview PointCloud Registration

Huaiyang Huang, Yuxiang Sun, Jin Wu +5

Multiview registration is used to estimate Rigid Body Transformations (RBTs) from multiple frames and reconstruct a scene with corresponding scans. Despite the success of pairwise…

cs.RO2021

Incorporating Learnt Local and Global Embeddings into Monocular Visual SLAM

Huaiyang Huang, Haoyang Ye, Yuxiang Sun +2

Traditional approaches for Visual Simultaneous Localization and Mapping (VSLAM) rely on low-level vision information for state estimation, such as handcrafted local features or the…

cs.RO2021★ 6 cited

Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning

Peide Cai, Hengli Wang, Huaiyang Huang +2

Autonomous car racing is a challenging task in the robotic control area. Traditional modular methods require accurate mapping, localization and planning, which makes them computati…

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