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Quan Chen

4 papers hereh-index 7496 citations9 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.CV4
same name
  • Quan Chen — 27 papers, h 30
  • Quan Chen — 16 papers, h 4
  • Quan Chen — 11 papers, h 4
  • Quan Chen — 10 papers, h 7
  • Quan Chen — 10 papers, h 6
  • Quan Chen — 9 papers, h 2

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
20172022
most citedMSR-net:Low-light Image Enhancement Using Deep Convolutional Network

256 citations · 268 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2022★ 5 cited

DCCF: Deep Comprehensible Color Filter Learning Framework for High-Resolution Image Harmonization

Ben Xue, Shenghui Ran, Quan Chen +3

Image color harmonization algorithm aims to automatically match the color distribution of foreground and background images captured in different conditions. Previous deep learning…

cs.CV2021★ 3 cited

Boosting Image Outpainting with Semantic Layout Prediction

Ye Ma, Jin Ma, Min Zhou +4

The objective of image outpainting is to extend image current border and generate new regions based on known ones. Previous methods adopt generative adversarial networks (GANs) to…

cs.CV2018★ 4 cited

Deep joint rain and haze removal from single images

Liang Shen, Zihan Yue, Quan Chen +2

Rain removal from a single image is a challenge which has been studied for a long time. In this paper, a novel convolutional neural network based on wavelet and dark channel is pro…

cs.CV2017★ 256 cited

MSR-net:Low-light Image Enhancement Using Deep Convolutional Network

Liang Shen, Zihan Yue, Fan Feng +3

Images captured in low-light conditions usually suffer from very low contrast, which increases the difficulty of subsequent computer vision tasks in a great extent. In this paper,…

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