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Lei Jin

10 papers hereh-index 9250 citations22 works total

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

author position
  • middle author6
  • last author1

Across the 7 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.CR1
  • cs.LG1
  • cs.RO1
same name
  • Lei Jin — 16 papers, h 6
  • Lei Jin — 14 papers, h 20
  • Lei Jin — 8 papers, h 4
  • Lei Jin — 5 papers, h 22
  • Lei Jin — 5 papers, h 14
  • Lei Jin — 4 papers, h 4

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
20232026
most citedAutonomous Driving in Unstructured Environments: How Far Have We Come?

6 citations · 9 across the 9 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024★ 1 cited

Adapting Vision Foundation Models for Robust Cloud Segmentation in Remote Sensing Images

Xuechao Zou, Shun Zhang, Kai Li +5

Cloud segmentation is a critical challenge in remote sensing image interpretation, as its accuracy directly impacts the effectiveness of subsequent data processing and analysis. Re…

cs.RO2024★ 6 cited

Autonomous Driving in Unstructured Environments: How Far Have We Come?

Chen Min, Shubin Si, Xu Wang +14

Research on autonomous driving in unstructured outdoor environments is less advanced than in structured urban settings due to challenges like environmental diversities and scene co…

cs.CV2024

The SkatingVerse Workshop & Challenge: Methods and Results

Jian Zhao, Lei Jin, Jianshu Li +16

The SkatingVerse Workshop & Challenge aims to encourage research in developing novel and accurate methods for human action understanding. The SkatingVerse dataset used for the Skat…

cs.CV2024

DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving

Chen Min, Dawei Zhao, Liang Xiao +10

Vision-centric autonomous driving has recently raised wide attention due to its lower cost. Pre-training is essential for extracting a universal representation. However, current vi…

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