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researcher

Wen Li

4 papers hereh-index 457 citations6 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 4 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.LG1
  • eess.IV1
  • math.NA1
same name
  • Wen Li — 28 papers, h 42
  • Wen Li — 27 papers, h 16
  • Wen Li — 7 papers, h 3
  • Wen Li — 6 papers, h 3
  • Wen Li — 5 papers, h 4
  • Wen Li — 5 papers, h 1

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
20232025
most citedAIM 2024 Challenge on Efficient Video Super-Resolution for AV1 Compressed Content

7 citations · 9 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2025

Unsupervised Robust Domain Adaptation: Paradigm, Theory and Algorithm

Fuxiang Huang, Xiaowei Fu, Shiyu Ye +5

Unsupervised domain adaptation (UDA) aims to transfer knowledge from a label-rich source domain to an unlabeled target domain by addressing domain shifts. Most UDA approaches empha…

eess.IV2024★ 7 cited

AIM 2024 Challenge on Efficient Video Super-Resolution for AV1 Compressed Content

Marcos V Conde, Zhijun Lei, Wen Li +3

Video super-resolution (VSR) is a critical task for enhancing low-bitrate and low-resolution videos, particularly in streaming applications. While numerous solutions have been deve…

cs.CV2024★ 2 cited

Real-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey

Marcos V. Conde, Zhijun Lei, Wen Li +72

This paper introduces a novel benchmark as part of the AIS 2024 Real-Time Image Super-Resolution (RTSR) Challenge, which aims to upscale compressed images from 540p to 4K resolutio…

math.NA2023

Multiscale hierarchical decomposition methods for images corrupted by multiplicative noise

Joel Barnett, Wen Li, Elena Resmerita +1

Recovering images corrupted by multiplicative noise is a well known challenging task. Motivated by the success of multiscale hierarchical decomposition methods (MHDM) in image proc…

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