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researcher

Qi Yang

22 papers hereh-index 161.4k citations41 works total

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

author position
  • first author6
  • middle author16

Across the 22 of 22 papers where every author was matched, so the position is known.

fields
  • cs.CV15
  • eess.IV6
  • cs.MM1
same name
  • Qi Yang — 17 papers, h 7
  • Qi Yang — 16 papers, h 12
  • Qi Yang — 14 papers, h 5
  • Qi Yang — 8 papers, h 7
  • Qi Yang — 7 papers, h 0
  • Qi Yang — 7 papers, h 3

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 citedInferring Point Cloud Quality via Graph Similarity

12 citations · 51 across the 22 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

Asynchronous Feedback Network for Perceptual Point Cloud Quality Assessment

Yujie Zhang, Qi Yang, Ziyu Shan +1

Recent years have witnessed the success of the deep learning-based technique in research of no-reference point cloud quality assessment (NR-PCQA). For a more accurate quality predi…

cs.CV2024

Perception-Guided Quality Metric of 3D Point Clouds Using Hybrid Strategy

Yujie Zhang, Qi Yang, Yiling Xu +1

Full-reference point cloud quality assessment (FR-PCQA) aims to infer the quality of distorted point clouds with available references. Most of the existing FR-PCQA metrics ignore t…

cs.CV2024

Contrastive Pre-Training with Multi-View Fusion for No-Reference Point Cloud Quality Assessment

Ziyu Shan, Yujie Zhang, Qi Yang +5

No-reference point cloud quality assessment (NR-PCQA) aims to automatically evaluate the perceptual quality of distorted point clouds without available reference, which have achiev…

cs.CV2024★ 1 cited

PAME: Self-Supervised Masked Autoencoder for No-Reference Point Cloud Quality Assessment

Ziyu Shan, Yujie Zhang, Qi Yang +3

No-reference point cloud quality assessment (NR-PCQA) aims to automatically predict the perceptual quality of point clouds without reference, which has achieved remarkable performa…

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