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researcher

Xingang Wang

4 papers here

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

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.NE1
ORCID 0000-0002-6851-0109
same name
  • Xingang Wang — 45 papers, h 23
  • Xingang Wang — 24 papers, h 8
  • Xingang Wang — 3 papers, h 6
  • Xingang Wang — 3 papers, h 3
  • Xingang Wang — 2 papers, h 14
  • Xingang Wang — 2 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 citedTransfer learning of chaotic systems

19 citations · 19 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2025

HumanDreamer-X: Photorealistic Single-image Human Avatars Reconstruction via Gaussian Restoration

Boyuan Wang, Runqi Ouyang, Xiaofeng Wang +8

Single-image human reconstruction is vital for digital human modeling applications but remains an extremely challenging task. Current approaches rely on generative models to synthe…

cs.CV2024

ReconDreamer: Crafting World Models for Driving Scene Reconstruction via Online Restoration

Chaojun Ni, Guosheng Zhao, Xiaofeng Wang +13

Closed-loop simulation is crucial for end-to-end autonomous driving. Existing sensor simulation methods (e.g., NeRF and 3DGS) reconstruct driving scenes based on conditions that cl…

cs.CV2024

EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation

Xiaofeng Wang, Kang Zhao, Feng Liu +6

Video generation has emerged as a promising tool for world simulation, leveraging visual data to replicate real-world environments. Within this context, egocentric video generation…

cs.NE2020★ 19 cited

Transfer learning of chaotic systems

Yali Guo, Han Zhang, Liang Wang +2

Can a neural network trained by the time series of system A be used to predict the evolution of system B? This problem, knowing as transfer learning in a broad sense, is of great i…

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