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Yang Zhou

5 papers hereh-index 4124 citations8 works total

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

author position
  • first author2
  • middle author3

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • eess.IV1
same name
  • Yang Zhou — 16 papers, h 18
  • Yang Zhou — 15 papers, h 5
  • Yang Zhou — 13 papers
  • Yang Zhou — 11 papers
  • Yang Zhou — 10 papers, h 4
  • Yang Zhou — 10 papers, 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
20202026
most citedRethinking Performance Gains in Image Dehazing Networks

48 citations · 50 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

Fast Low-light Enhancement and Deblurring for 3D Dark Scenes

Feng Zhang, Jinglong Wang, Ze Li +4

Novel view synthesis from low-light, noisy, and motion-blurred imagery remains a valuable and challenging task. Current volumetric rendering methods struggle with compound degradat…

cs.CV2022

ClassPruning: Speed Up Image Restoration Networks by Dynamic N:M Pruning

Yang Zhou, Yuda Song, Hui Qian +1

Image restoration tasks have achieved tremendous performance improvements with the rapid advancement of deep neural networks. However, most prevalent deep learning models perform i…

cs.CV2022★ 48 cited

Rethinking Performance Gains in Image Dehazing Networks

Yuda Song, Yang Zhou, Hui Qian +1

Image dehazing is an active topic in low-level vision, and many image dehazing networks have been proposed with the rapid development of deep learning. Although these networks' pip…

cs.CV2020

End-To-End Trainable Video Super-Resolution Based on a New Mechanism for Implicit Motion Estimation and Compensation

Xiaohong Liu, Lingshi Kong, Yang Zhou +2

Video super-resolution aims at generating a high-resolution video from its low-resolution counterpart. With the rapid rise of deep learning, many recently proposed video super-reso…

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