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researcher

Yuan Zeng

6 papers hereh-index 12682 citations35 works total

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

author position
  • first author1
  • middle author3
  • last author2

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • eess.SP2
same name
  • Yuan Zeng — 7 papers, h 5
  • Yuan Zeng — 3 papers, h 0
  • Yuan Zeng — 2 papers, h 5
  • Yuan Zeng — 2 papers, h 4
  • Yuan Zeng — 1 paper, h 2
  • Yuan Zeng — 1 paper, h 2

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
20212024
most citedLearning of Time-Frequency Attention Mechanism for Automatic Modulation Recognition

128 citations · 134 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2024★ 1 cited

Stylizing Sparse-View 3D Scenes with Hierarchical Neural Representation

Y. Wang, A. Gao, Y. Gong +1

Recently, a surge of 3D style transfer methods has been proposed that leverage the scene reconstruction power of a pre-trained neural radiance field (NeRF). To successfully stylize…

cs.CV2023★ 1 cited

Hyb-NeRF: A Multiresolution Hybrid Encoding for Neural Radiance Fields

Yifan Wang, Yi Gong, Yuan Zeng

Recent advances in Neural radiance fields (NeRF) have enabled high-fidelity scene reconstruction for novel view synthesis. However, NeRF requires hundreds of network evaluations pe…

cs.CV2023★ 1 cited

Learning to Scale Temperature in Masked Self-Attention for Image Inpainting

Xiang Zhou, Yuan Zeng, Yi Gong

Recent advances in deep generative adversarial networks (GAN) and self-attention mechanism have led to significant improvements in the challenging task of inpainting large missing…

cs.CV2022★ 2 cited

Collaborative 3D Object Detection for Automatic Vehicle Systems via Learnable Communications

Junyong Wang, Yuan Zeng, Yi Gong

Accurate detection of objects in 3D point clouds is a key problem in autonomous driving systems. Collaborative perception can incorporate information from spatially diverse sensors…

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