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Yiling Xu

37 papers hereh-index 181.7k citations69 works total

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

author position
  • first author1
  • middle author22
  • last author12

Across the 35 of 37 papers where every author was matched, so the position is known.

fields
  • cs.CV26
  • eess.IV8
  • cs.GR1
  • cs.MM1
  • cs.NI1
same name
  • Yiling Xu — 4 papers, h 12
  • Yiling Xu — 4 papers, h 2
  • Yiling Xu — 3 papers, h 2
  • Yiling Xu — 3 papers, h 2
  • Yiling Xu — 2 papers, h 3
  • Yiling Xu — 1 paper, h 6

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
20202026
most citedInferring Point Cloud Quality via Graph Similarity

12 citations · 45 across the 35 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023

SJTU-TMQA: A quality assessment database for static mesh with texture map

Bingyang Cui, Qi Yang, Kaifa Yang +3

In recent years, static meshes with texture maps have become one of the most prevalent digital representations of 3D shapes in various applications, such as animation, gaming, medi…

eess.IV2023★ 3 cited

Once-Training-All-Fine: No-Reference Point Cloud Quality Assessment via Domain-relevance Degradation Description

Yipeng Liu, Qi Yang, Yujie Zhang +4

The visual quality of point clouds plays a crucial role in the development and broadcasting of immersive media. Therefore, investigating point cloud quality assessment (PCQA) is in…

cs.CV2023

Learning Dynamic Point Cloud Compression via Hierarchical Inter-frame Block Matching

Shuting Xia, Tingyu Fan, Yiling Xu +2

3D dynamic point cloud (DPC) compression relies on mining its temporal context, which faces significant challenges due to DPC's sparsity and non-uniform structure. Existing methods…

eess.IV2023

Reduced Reference Quality Assessment for Point Cloud Compression

Yipeng Liu, Qi Yang, Yiling Xu

In this paper, we propose a reduced reference (RR) point cloud quality assessment (PCQA) model named R-PCQA to quantify the distortions introduced by the lossy compression. Specifi…

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