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Ziqi Wang

4 papers hereh-index 688 citations14 works total

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

author position
  • first author1
  • middle author3

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

fields
  • cs.CV4
same name
  • Ziqi Wang — 29 papers, h 13
  • Ziqi Wang — 10 papers, h 15
  • Ziqi Wang — 9 papers, h 6
  • Ziqi Wang — 9 papers, h 2
  • Ziqi Wang — 6 papers, h 12
  • Ziqi Wang — 4 papers, h 10

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 citedLFMamba: Light Field Image Super-Resolution with State Space Model

6 citations · 6 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2026

InterLight: Leveraging Intrinsic Illumination Priors for Low-Light Image Enhancement

Ziqi Wang, Xu Zhang, Laibin Chang +3

Low-Light Image Enhancement (LLIE) has long been a challenging problem in low-level vision, as insufficient illumination often leads to low contrast, detail loss, and noise. Recent…

cs.CV2026

LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results

Xiang Chen, Hao Li, Jiangxin Dong +54

This paper presents a review for the LoViF Challenge on Real-World All-in-One Image Restoration. The challenge aimed to advance research on real-world all-in-one image restoration…

cs.CV2025

The Tenth NTIRE 2025 Image Denoising Challenge Report

Lei Sun, Hang Guo, Bin Ren +91

This paper presents an overview of the NTIRE 2025 Image Denoising Challenge (σ = 50), highlighting the proposed methodologies and corresponding results. The primary objective is to…

cs.CV2024★ 6 cited

LFMamba: Light Field Image Super-Resolution with State Space Model

Wang xia, Yao Lu, Shunzhou Wang +3

Recent years have witnessed significant advancements in light field image super-resolution (LFSR) owing to the progress of modern neural networks. However, these methods often face…

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