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researcher

Xiaoming Zhao

4 papers here

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

author position
  • first author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • physics.optics1
ORCID 0000-0002-1231-3931
same name
  • Xiaoming Zhao — 7 papers
  • Xiaoming Zhao — 2 papers, h 9
  • Xiaoming Zhao — 1 paper
  • Xiaoming Zhao — 1 paper
  • Xiaoming Zhao — 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
20212024
most citedALIKED: A Lighter Keypoint and Descriptor Extraction Network via Deformable Transformation

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

collaborators

4 papers

physics.optics2024

Navigation-grade interferometric air-core antiresonant fibre optic gyroscope with enhanced thermal stability

Maochun Li, Shoufei Gao, Yizhi Sun +9

We present a groundbreaking navigation-grade interferometric air-core fibre optic gyroscope (IFOG) using a quadrupolar-wound coil of four-tube truncated double nested antiresonant…

cs.CV2023★ 7 cited

ALIKED: A Lighter Keypoint and Descriptor Extraction Network via Deformable Transformation

Xiaoming Zhao, Xingming Wu, Weihai Chen +3

Image keypoints and descriptors play a crucial role in many visual measurement tasks. In recent years, deep neural networks have been widely used to improve the performance of keyp…

cs.CV2022

Generative Multiplane Images: Making a 2D GAN 3D-Aware

Xiaoming Zhao, Fangchang Ma, David Güera +3

What is really needed to make an existing 2D GAN 3D-aware? To answer this question, we modify a classical GAN, i.e., StyleGANv2, as little as possible. We find that only two modifi…

cs.CV2021

Sparse LiDAR Assisted Self-supervised Stereo Disparity Estimation

Xiaoming Zhao, Weihai Chen, Xingming Wu +2

Deep stereo matching has made significant progress in recent years. However, state-of-the-art methods are based on expensive 4D cost volume, which limits their use in real-world ap…

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