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researcher

Yicheng Liu

XiDian university

7 papers hereh-index 91.3k citations24 works total

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

author position
  • first author2
  • middle author4

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • math.NA1
  • physics.soc-ph1
  • quant-ph1
affiliations
  • XiDian university
ORCID 0000-0003-3211-3088
same name
  • Yicheng Liu — 16 papers, h 7
  • Yicheng Liu — 7 papers, h 6
  • Yicheng Liu — 4 papers, h 3
  • Yicheng Liu — 3 papers, h 1
  • Yicheng Liu — 2 papers, h 2
  • Yicheng Liu — 2 papers, h 0

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
20212023
most citedVectorMapNet: End-to-end Vectorized HD Map Learning

35 citations · 72 across the 7 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2023★ 3 cited

StreamMapNet: Streaming Mapping Network for Vectorized Online HD Map Construction

Tianyuan Yuan, Yicheng Liu, Yue Wang +2

High-Definition (HD) maps are essential for the safety of autonomous driving systems. While existing techniques employ camera images and onboard sensors to generate vectorized high…

cs.CV2023

Neural Map Prior for Autonomous Driving

Xuan Xiong, Yicheng Liu, Tianyuan Yuan +3

High-definition (HD) semantic maps are crucial in enabling autonomous vehicles to navigate urban environments. The traditional method of creating offline HD maps involves labor-int…

cs.CV2022★ 35 cited

VectorMapNet: End-to-end Vectorized HD Map Learning

Yicheng Liu, Tianyuan Yuan, Yue Wang +2

Autonomous driving systems require High-Definition (HD) semantic maps to navigate around urban roads. Existing solutions approach the semantic mapping problem by offline manual ann…

cs.CV2021★ 21 cited

Multimodal Motion Prediction with Stacked Transformers

Yicheng Liu, Jinghuai Zhang, Liangji Fang +2

Predicting multiple plausible future trajectories of the nearby vehicles is crucial for the safety of autonomous driving. Recent motion prediction approaches attempt to achieve suc…

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