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Yidong Li

20 papers hereh-index 201.3k citations76 works total

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

author position
  • middle author9
  • last author9

Across the 18 of 20 papers where every author was matched, so the position is known.

fields
  • cs.CV14
  • cs.LG5
  • eess.IV1
same name
  • Yidong Li — 12 papers, h 6
  • Yidong Li — 4 papers, h 4
  • Yidong Li — 3 papers, h 19
  • Yidong Li — 2 papers, h 4
  • Yidong Li — 1 paper, h 9
  • Yidong Li — 1 paper, 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
20172025
most citedEDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising

143 citations · 328 across the 17 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CV2022★ 4 cited

Boundary Corrected Multi-scale Fusion Network for Real-time Semantic Segmentation

Tianjiao Jiang, Yi Jin, Tengfei Liang +2

Image semantic segmentation aims at the pixel-level classification of images, which has requirements for both accuracy and speed in practical application. Existing semantic segment…

cs.CV2022★ 5 cited

LighTN: Light-weight Transformer Network for Performance-overhead Tradeoff in Point Cloud Downsampling

Xu Wang, Yi Jin, Yigang Cen +3

Compared with traditional task-irrelevant downsampling methods, task-oriented neural networks have shown improved performance in point cloud downsampling range. Recently, Transform…

cs.LG2022★ 2 cited

GLAN: A Graph-based Linear Assignment Network

He Liu, Tao Wang, Congyan Lang +3

Differentiable solvers for the linear assignment problem (LAP) have attracted much research attention in recent years, which are usually embedded into learning frameworks as compon…

cs.CV2022★ 1 cited

Deep Probabilistic Graph Matching

He Liu, Tao Wang, Yidong Li +3

Most previous learning-based graph matching algorithms solve the \textit{quadratic assignment problem} (QAP) by dropping one or more of the matching constraints and adopting a rela…

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