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Ying Li

4 papers here

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

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Ying Li — 32 papers, h 21
  • Ying Li — 19 papers, h 26
  • Ying Li — 13 papers, h 17
  • Ying Li — 13 papers, h 18
  • Ying Li — 11 papers, h 15
  • Ying Li — 11 papers

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

most citedDeep Learning for LiDAR Point Clouds in Autonomous Driving: A Review

25 citations · 25 across the 1 of their papers we have counts for

collaborators

4 papers

cs.CV2020

UAV LiDAR Point Cloud Segmentation of A Stack Interchange with Deep Neural Networks

Weikai Tan, Dedong Zhang, Lingfei Ma +3

Stack interchanges are essential components of transportation systems. Mobile laser scanning (MLS) systems have been widely used in road infrastructure mapping, but accurate mappin…

cs.CV2020★ 25 cited

Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review

Ying Li, Lingfei Ma, Zilong Zhong +4

Recently, the advancement of deep learning in discriminative feature learning from 3D LiDAR data has led to rapid development in the field of autonomous driving. However, automated…

cs.CV2020

Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways

Weikai Tan, Nannan Qin, Lingfei Ma +5

Semantic segmentation of large-scale outdoor point clouds is essential for urban scene understanding in various applications, especially autonomous driving and urban high-definitio…

cs.CV2020

Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review

Yaodong Cui, Ren Chen, Wenbo Chu +4

Autonomous vehicles were experiencing rapid development in the past few years. However, achieving full autonomy is not a trivial task, due to the nature of the complex and dynamic…

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