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researcher

Xinyuan Liu

4 papers hereh-index 6107 citations13 works total

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
  • Xinyuan Liu — 3 papers, h 6
  • Xinyuan Liu — 3 papers, h 0
  • Xinyuan Liu — 3 papers, h 0
  • Xinyuan Liu — 2 papers, h 6
  • Xinyuan Liu — 2 papers, h 4
  • Xinyuan Liu — 1 paper, h 5

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
20232025
most citedRethinking Boundary Discontinuity Problem for Oriented Object Detection

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

collaborators

4 papers

cs.CV2025

Semantic-decoupled Spatial Partition Guided Point-supervised Oriented Object Detection

Xinyuan Liu, Hang Xu, Zirui Chen +3

Given its ability to reduce annotation costs, weakly supervised learning based on single-point annotations has emerged as a research focus in oriented object detection. Compared wi…

cs.CV2025

TopoPoint: Enhance Topology Reasoning via Endpoint Detection in Autonomous Driving

Yanping Fu, Xinyuan Liu, Tianyu Li +3

Topology reasoning, which unifies perception and structured reasoning, plays a vital role in understanding intersections for autonomous driving. However, its performance heavily re…

cs.CV2024★ 1 cited

TopoLogic: An Interpretable Pipeline for Lane Topology Reasoning on Driving Scenes

Yanping Fu, Wenbin Liao, Xinyuan Liu +4

As an emerging task that integrates perception and reasoning, topology reasoning in autonomous driving scenes has recently garnered widespread attention. However, existing work oft…

cs.CV2023★ 3 cited

Rethinking Boundary Discontinuity Problem for Oriented Object Detection

Hang Xu, Xinyuan Liu, Haonan Xu +4

Oriented object detection has been developed rapidly in the past few years, where rotation equivariance is crucial for detectors to predict rotated boxes. It is expected that the p…

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