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researcher

Ming Sun

4 papers here

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

author position
  • middle author2

Across the 2 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.AS1
ORCID 0000-0002-1306-9889
same name
  • Ming Sun — 22 papers, h 21
  • Ming Sun — 18 papers, h 20
  • Ming Sun — 17 papers
  • Ming Sun — 16 papers, h 16
  • Ming Sun — 13 papers, h 16
  • Ming Sun — 9 papers

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

most citedCasSR: Activating Image Power for Real-World Image Super-Resolution

3 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

eess.AS2025

Thinking in Directivity: Speech Large Language Model for Multi-Talker Directional Speech Recognition

Jiamin Xie, Ju Lin, Yiteng Huang +8

Recent studies have demonstrated that prompting large language models (LLM) with audio encodings enables effective speech recognition capabilities. However, the ability of Speech L…

cs.CV2025

Accelerating Diffusion-based Super-Resolution with Dynamic Time-Spatial Sampling

Rui Qin, Qijie Wang, Ming Sun +3

Diffusion models have gained attention for their success in modeling complex distributions, achieving impressive perceptual quality in SR tasks. However, existing diffusion-based S…

cs.CV2024

A New Dataset and Framework for Real-World Blurred Images Super-Resolution

Rui Qin, Ming Sun, Chao Zhou +1

Recent Blind Image Super-Resolution (BSR) methods have shown proficiency in general images. However, we find that the efficacy of recent methods obviously diminishes when employed…

cs.CV2024★ 3 cited

CasSR: Activating Image Power for Real-World Image Super-Resolution

Haolan Chen, Jinhua Hao, Kai Zhao +4

The objective of image super-resolution is to generate clean and high-resolution images from degraded versions. Recent advancements in diffusion modeling have led to the emergence…

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