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Shenglong Zhou

5 papers hereh-index 9300 citations19 works total

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

author position
  • middle author4

Across the 4 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • eess.IV1
same name
  • Shenglong Zhou — 30 papers, h 16
  • Shenglong Zhou — 9 papers, h 4
  • Shenglong Zhou — 3 papers, h 4

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
20222024
most citedSelf-Supervised Neuron Segmentation with Multi-Agent Reinforcement Learning

27 citations · 31 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2024★ 1 cited

The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report

Bin Ren, Yawei Li, Nancy Mehta +129

This paper provides a comprehensive review of the NTIRE 2024 challenge, focusing on efficient single-image super-resolution (ESR) solutions and their outcomes. The task of this cha…

cs.CV2023★ 27 cited

Self-Supervised Neuron Segmentation with Multi-Agent Reinforcement Learning

Yinda Chen, Wei Huang, Shenglong Zhou +2

The performance of existing supervised neuron segmentation methods is highly dependent on the number of accurate annotations, especially when applied to large scale electron micros…

cs.CV2023★ 2 cited

Generalized Lightness Adaptation with Channel Selective Normalization

Mingde Yao, Jie Huang, Xin Jin +4

Lightness adaptation is vital to the success of image processing to avoid unexpected visual deterioration, which covers multiple aspects, e.g., low-light image enhancement, image r…

cs.CV2023★ 1 cited

Learning Fine-Grained Features for Pixel-wise Video Correspondences

Rui Li, Shenglong Zhou, Dong Liu

Video analysis tasks rely heavily on identifying the pixels from different frames that correspond to the same visual target. To tackle this problem, recent studies have advocated f…

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