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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 2022Show all

4 papers · 1 filter

cs.CV2022★ 4 cited

GPA-Net:No-Reference Point Cloud Quality Assessment with Multi-task Graph Convolutional Network

Ziyu Shan, Qi Yang, Rui Ye +4

With the rapid development of 3D vision, point cloud has become an increasingly popular 3D visual media content. Due to the irregular structure, point cloud has posed novel challen…

cs.CV2022★ 1 cited

TCDM: Transformational Complexity Based Distortion Metric for Perceptual Point Cloud Quality Assessment

Yujie Zhang, Qi Yang, Yifei Zhou +3

The goal of objective point cloud quality assessment (PCQA) research is to develop quantitative metrics that measure point cloud quality in a perceptually consistent manner. Mergin…

cs.CV2022★ 1 cited

Point Cloud Quality Assessment using 3D Saliency Maps

Zhengyu Wang, Yujie Zhang, Qi Yang +3

Point cloud quality assessment (PCQA) has become an appealing research field in recent days. Considering the importance of saliency detection in quality assessment, we propose an e…

cs.CV2022★ 1 cited

Multiscale Latent-Guided Entropy Model for LiDAR Point Cloud Compression

Tingyu Fan, Linyao Gao, Yiling Xu +2

The non-uniform distribution and extremely sparse nature of the LiDAR point cloud (LPC) bring significant challenges to its high-efficient compression. This paper proposes a novel…

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