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researcher

Han Guo

4 papers hereh-index 8293 citations12 works total

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

author position
  • first author2
  • last author2

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

fields
  • cs.CV2
  • cs.LG2
same name
  • Han Guo — 21 papers, h 17
  • Han Guo — 8 papers, h 8
  • Han Guo — 6 papers, h 3
  • Han Guo — 4 papers, h 3
  • Han Guo — 4 papers, h 5
  • Han Guo — 3 papers, h 8

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
20162023
most citedCorrelated-PCA: Principal Components' Analysis when Data and Noise are Correlated

7 citations · 8 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 1 cited

PFT-SSR: Parallax Fusion Transformer for Stereo Image Super-Resolution

Hansheng Guo, Juncheng Li, Guangwei Gao +2

Stereo image super-resolution aims to boost the performance of image super-resolution by exploiting the supplementary information provided by binocular systems. Although previous m…

cs.CV2017

Video Denoising and Enhancement via Dynamic Video Layering

Han Guo, Namrata Vaswani

Video denoising refers to the problem of removing "noise" from a video sequence. Here the term "noise" is used in a broad sense to refer to any corruption or outlier or interferenc…

cs.LG2016

Correlated-PCA: Principal Components' Analysis when Data and Noise are Correlated

Namrata Vaswani, Han Guo

Given a matrix of observed data, Principal Components Analysis (PCA) computes a small number of orthogonal directions that contain most of its variability. Provably accurate soluti…

cs.LG2016★ 7 cited

Correlated-PCA: Principal Components' Analysis when Data and Noise are Correlated

Namrata Vaswani, Han Guo

Given a matrix of observed data, Principal Components Analysis (PCA) computes a small number of orthogonal directions that contain most of its variability. Provably accurate soluti…

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