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Xiangyu Chen

6 papers hereh-index 577 citations10 works total

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

author position
  • middle author6

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

fields
  • cs.CV4
  • cs.RO2
same name
  • Xiangyu Chen — 11 papers, h 22
  • Xiangyu Chen — 9 papers
  • Xiangyu Chen — 5 papers, h 4
  • Xiangyu Chen — 5 papers, h 4
  • Xiangyu Chen — 5 papers, h 5
  • Xiangyu Chen — 4 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

activity
20222025
most citedHindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception

5 citations · 5 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025

CornerPoint3D: Look at the Nearest Corner Instead of the Center

Ruixiao Zhang, Runwei Guan, Xiangyu Chen +2

3D object detection aims to predict object centers, dimensions, and rotations from LiDAR point clouds. Despite its simplicity, LiDAR captures only the near side of objects, making…

cs.CV2024

Learning 3D Perception from Others' Predictions

Jinsu Yoo, Zhenyang Feng, Tai-Yu Pan +7

Accurate 3D object detection in real-world environments requires a huge amount of annotated data with high quality. Acquiring such data is tedious and expensive, and often needs re…

cs.CV2024

GlobalMapNet: An Online Framework for Vectorized Global HD Map Construction

Anqi Shi, Yuze Cai, Xiangyu Chen +3

High-definition (HD) maps are essential for autonomous driving systems. Traditionally, an expensive and labor-intensive pipeline is implemented to construct HD maps, which is limit…

cs.CV2022★ 5 cited

Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception

Yurong You, Katie Z Luo, Xiangyu Chen +6

Self-driving cars must detect vehicles, pedestrians, and other traffic participants accurately to operate safely. Small, far-away, or highly occluded objects are particularly chall…

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