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Shijie Zhao

3 papers here

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

author position
  • middle author3

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

fields
  • cs.CV1
  • eess.IV1
  • physics.flu-dyn1
same name
  • Shijie Zhao — 12 papers, h 6
  • Shijie Zhao — 7 papers, h 8
  • Shijie Zhao — 6 papers
  • Shijie Zhao — 5 papers
  • Shijie Zhao — 2 papers, h 18
  • Shijie Zhao — 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

most citedAn unstructured adaptive mesh refinement for steady flows based on physics-informed neural networks

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2025

NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results

Nikolay Safonov, Alexey Bryncev, Andrey Moskalenko +28

This paper presents an overview of the NTIRE 2025 Challenge on UGC Video Enhancement. The challenge constructed a set of 150 user-generated content videos without reference ground…

eess.IV2025

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: Methods and Results

Xin Li, Kun Yuan, Bingchen Li +110

This paper presents a review for the NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement. The challenge comprises two tracks: (i) Efficient Video Qualit…

physics.flu-dyn2024★ 1 cited

An unstructured adaptive mesh refinement for steady flows based on physics-informed neural networks

Yongzheng Zhu, Shiji Zhao, Yuanye Zhou +2

Mesh generation is essential for accurate and efficient computational fluid dynamics simulations. To resolve critical features in the flow, adaptive mesh refinement (AMR) is routin…

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