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researcher

Jianming Zheng

5 papers hereh-index 473 citations8 works total

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

author position
  • middle author4
  • last author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.GR1
same name
  • Jianming Zheng — 4 papers, h 14
  • Jianming Zheng — 2 papers, h 2
  • Jianming Zheng — 1 paper
  • Jianming Zheng — 1 paper
  • Jianming Zheng — 1 paper, h 71
  • Jianming Zheng — 1 paper, h 2

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
20202025
most citedNormal-GS: 3D Gaussian Splatting with Normal-Involved Rendering

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

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025

ASAP-Textured Gaussians: Enhancing Textured Gaussians with Adaptive Sampling and Anisotropic Parameterization

Meng Wei, Cheng Zhang, Jianmin Zheng +2

Recent advances have equipped 3D Gaussian Splatting with texture parameterizations to capture spatially varying attributes, improving the performance of both appearance modeling an…

cs.CV2024★ 3 cited

Normal-GS: 3D Gaussian Splatting with Normal-Involved Rendering

Meng Wei, Qianyi Wu, Jianmin Zheng +2

Rendering and reconstruction are long-standing topics in computer vision and graphics. Achieving both high rendering quality and accurate geometry is a challenge. Recent advancemen…

cs.CV2024★ 2 cited

McGrids: Monte Carlo-Driven Adaptive Grids for Iso-Surface Extraction

Daxuan Ren, Hezi Shi, Jianmin Zheng +1

Iso-surface extraction from an implicit field is a fundamental process in various applications of computer vision and graphics. When dealing with geometric shapes with complicated…

cs.CV2020

GeoConv: Geodesic Guided Convolution for Facial Action Unit Recognition

Yuedong Chen, Guoxian Song, Zhiwen Shao +3

Automatic facial action unit (AU) recognition has attracted great attention but still remains a challenging task, as subtle changes of local facial muscles are difficult to thoroug…

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