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Xiaonan Luo

3 papers here

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

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3
ORCID 0000-0002-0751-5045
same name
  • Xiaonan Luo — 9 papers, h 34
  • Xiaonan Luo — 1 paper

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 citedNeural Points: Point Cloud Representation with Neural Fields for Arbitrary Upsampling

4 citations · 5 across the 3 of their papers we have counts for

collaborators

4 papers

cs.MM2024

MorphText: Deep Morphology Regularized Arbitrary-shape Scene Text Detection

Chengpei Xu, Wenjing Jia, Ruomei Wang +2

Bottom-up text detection methods play an important role in arbitrary-shape scene text detection but there are two restrictions preventing them from achieving their great potential,…

cs.CV2023

A novel dataset and a two-stage mitosis nuclei detection method based on hybrid anchor branch

Huadeng Wang, Hao Xu, Bingbing Li +4

Mitosis detection is one of the challenging problems in computational pathology, and mitotic count is an important index of cancer grading for pathologists. However, current counts…

cs.CV2022★ 1 cited

Binary Representation via Jointly Personalized Sparse Hashing

Xiaoqin Wang, Chen Chen, Rushi Lan +4

Unsupervised hashing has attracted much attention for binary representation learning due to the requirement of economical storage and efficiency of binary codes. It aims to encode…

cs.CV2021★ 4 cited

Neural Points: Point Cloud Representation with Neural Fields for Arbitrary Upsampling

Wanquan Feng, Jin Li, Hongrui Cai +2

In this paper, we propose Neural Points, a novel point cloud representation and apply it to the arbitrary-factored upsampling task. Different from traditional point cloud represent…

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