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Yong Deng

3 papers hereh-index 466 citations8 works total

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

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3
same name
  • Yong Deng — 24 papers
  • Yong Deng — 11 papers, h 14
  • Yong Deng — 6 papers, h 6
  • Yong Deng — 5 papers, h 29
  • Yong Deng — 5 papers, h 3
  • Yong Deng — 4 papers, h 4

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
20222026
most citedQuadFormer: Quadruple Transformer for Unsupervised Domain Adaptation in Power Line Segmentation of Aerial Images

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

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2026

SceneGTMM: A Conformal Mapping-based Scene-Aware Transferable GNN-Transformer Dual-Graph Interaction Framework for Map Matching

Yongliang Zhang, Feng Song, Ji Chen +6

Map matching is a key technology connecting positioning data with high precision road networks, but it faces challenges in noise robustness, cross regional transfer, and interpreta…

cs.CV2023

DUFormer: Solving Power Line Detection Task in Aerial Images using Semantic Segmentation

Deyu An, Qiang Zhang, Jianshu Chao +4

Unmanned aerial vehicles (UAVs) are frequently used for inspecting power lines and capturing high-resolution aerial images. However, detecting power lines in aerial images is diffi…

cs.CV2022★ 5 cited

QuadFormer: Quadruple Transformer for Unsupervised Domain Adaptation in Power Line Segmentation of Aerial Images

Pratyaksh Prabhav Rao, Feng Qiao, Weide Zhang +4

Accurate segmentation of power lines in aerial images is essential to ensure the flight safety of aerial vehicles. Acquiring high-quality ground truth annotations for training a de…

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