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Chao Dong

12 papers hereh-index 11578 citations14 works total

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

author position
  • middle author2
  • last author10

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CV12
same name
  • Chao Dong — 71 papers, h 53
  • Chao Dong — 26 papers, h 16
  • Chao Dong — 13 papers, h 8
  • Chao Dong — 8 papers, h 15
  • Chao Dong — 7 papers, h 8
  • Chao Dong — 5 papers, h 7

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 citedHAT: Hybrid Attention Transformer for Image Restoration

21 citations · 30 across the 10 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

Learning A Low-Level Vision Generalist via Visual Task Prompt

Xiangyu Chen, Yihao Liu, Yuandong Pu +4

Building a unified model for general low-level vision tasks holds significant research and practical value. Current methods encounter several critical issues. Multi-task restoratio…

cs.CV2024

A Preliminary Exploration Towards General Image Restoration

Xiangtao Kong, Jinjin Gu, Yihao Liu +4

Despite the tremendous success of deep models in various individual image restoration tasks, there are at least two major technical challenges preventing these works from being app…

cs.CV2024★ 1 cited

GRIDS: Grouped Multiple-Degradation Restoration with Image Degradation Similarity

Shuo Cao, Yihao Liu, Wenlong Zhang +2

Traditional single-task image restoration methods excel in handling specific degradation types but struggle with multiple degradations. To address this limitation, we propose Group…

cs.CV2024

Towards Real-world Video Face Restoration: A New Benchmark

Ziyan Chen, Jingwen He, Xinqi Lin +2

Blind face restoration (BFR) on images has significantly progressed over the last several years, while real-world video face restoration (VFR), which is more challenging for more c…

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