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Siyu Chen

4 papers hereh-index 437 citations8 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
  • Siyu Chen — 4 papers, h 6
  • Siyu Chen — 3 papers
  • Siyu Chen — 3 papers
  • Siyu Chen — 2 papers
  • Siyu Chen — 2 papers
  • Siyu Chen — 2 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 citedVisualization of Hyperspectral Images Using Moving Least Squares

2 citations · 2 across the 3 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2019

A Deep Optimization Approach for Image Deconvolution

Zhijian Luo, Siyu Chen, Yuntao Qian

In blind image deconvolution, priors are often leveraged to constrain the solution space, so as to alleviate the under-determinacy. Priors which are trained separately from the tas…

cs.CV2019

Deep Neural Network Based Hyperspectral Pixel Classification With Factorized Spectral-Spatial Feature Representation

Jingzhou Chen, Siyu Chen, Peilin Zhou +1

Deep learning has been widely used for hyperspectral pixel classification due to its ability of generating deep feature representation. However, how to construct an efficient and p…

cs.CV2018

Spectral Image Visualization Using Generative Adversarial Networks

Siyu Chen, Danping Liao, Yuntao Qian

Spectral images captured by satellites and radio-telescopes are analyzed to obtain information about geological compositions distributions, distant asters as well as undersea terra…

cs.CV2018★ 2 cited

Visualization of Hyperspectral Images Using Moving Least Squares

Danping Liao, Siyu Chen, Yuntao Qian

Displaying the large number of bands in a hyper spectral image on a trichromatic monitor has been an active research topic. The visualized image shall convey as much information as…

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