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Mengyu Zhao

4 papers hereh-index 210 citations6 works total

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

author position
  • first author4

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

fields
  • cs.CV2
  • cs.IT1
  • eess.IV1
same name
  • Mengyu Zhao — 2 papers, h 2
  • Mengyu Zhao — 2 papers, h 4
  • Mengyu Zhao — 1 paper, h 1
  • Mengyu Zhao — 1 paper, h 1
  • Mengyu Zhao — 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
20242026
most citedUntrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2026

Shot-Aware Frame Sampling for Video Understanding

Mengyu Zhao, Di Fu, Yongyu Xie +4

Video frame sampling is essential for efficient long-video understanding with Vision-Language Models (VLMs), since dense inputs are costly and often exceed context limits. Yet when…

cs.IT2025

Theoretical Characterization of Effect of Masks in Snapshot Compressive Imaging

Mengyu Zhao, Shirin Jalali

Snapshot compressive imaging (SCI) refers to the recovery of three-dimensional data cubes-such as videos or hyperspectral images-from their two-dimensional projections, which are g…

eess.IV2025

Snapshot Compressive Imaging under Saturation: Theory, Mask Design, and Reconstruction

Mengyu Zhao, Shirin Jalali

Snapshot compressive imaging (SCI) acquires high-dimensional data cubes, such as videos and hyperspectral images, by optically multiplexing multiple coded frames into a single two-…

cs.CV2024★ 1 cited

Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms

Mengyu Zhao, Xi Chen, Xin Yuan +1

Snapshot compressive imaging (SCI) recovers high-dimensional (3D) data cubes from a single 2D measurement, enabling diverse applications like video and hyperspectral imaging to go…

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