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Liwei Wu

4 papers hereh-index 4100 citations8 works total

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

author position
  • middle author3
  • last author1

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

fields
  • cs.CV4
same name
  • Liwei Wu — 14 papers, h 13
  • Liwei Wu — 9 papers, h 7
  • Liwei Wu — 7 papers, h 6
  • Liwei Wu — 1 paper
  • Liwei Wu — 1 paper
  • Liwei Wu — 1 paper, h 15

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 citedBenchmarking Unsupervised Anomaly Detection and Localization

7 citations · 13 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 4 cited

ZeroPose: CAD-Prompted Zero-shot Object 6D Pose Estimation in Cluttered Scenes

Jianqiu Chen, Zikun Zhou, Mingshan Sun +4

Many robotics and industry applications have a high demand for the capability to estimate the 6D pose of novel objects from the cluttered scene. However, existing classic pose esti…

cs.CV2022★ 2 cited

MIAD: A Maintenance Inspection Dataset for Unsupervised Anomaly Detection

Tianpeng Bao, Jiadong Chen, Wei Li +5

Visual anomaly detection plays a crucial role in not only manufacturing inspection to find defects of products during manufacturing processes, but also maintenance inspection to ke…

cs.CV2022

Geo6D: Geometric Constraints Learning for 6D Pose Estimation

Jianqiu Chen, Mingshan Sun, Ye Zheng +7

Numerous 6D pose estimation methods have been proposed that employ end-to-end regression to directly estimate the target pose parameters. Since the visible features of objects are…

cs.CV2022★ 7 cited

Benchmarking Unsupervised Anomaly Detection and Localization

Ye Zheng, Xiang Wang, Yu Qi +2

Unsupervised anomaly detection and localization, as of one the most practical and challenging problems in computer vision, has received great attention in recent years. From the ti…

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