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Guanghui Wang

4 papers here

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

author position
  • sole author1
  • first author1
  • middle author1
  • last author1

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

fields
  • cs.CV2
  • cs.LG2
ORCID 0000-0003-3182-104X
same name
  • Guanghui Wang — 5 papers, h 28
  • Guanghui Wang — 1 paper
  • Guanghui Wang — 1 paper
  • Guanghui Wang — 1 paper

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 citedAdversarially Approximated Autoencoder for Image Generation and Manipulation

6 citations · 12 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2019★ 2 cited

SAdam: A Variant of Adam for Strongly Convex Functions

Guanghui Wang, Shiyin Lu, Weiwei Tu +1

The Adam algorithm has become extremely popular for large-scale machine learning. Under convexity condition, it has been proved to enjoy a data-dependant O(T​) regret bound…

cs.LG2019★ 6 cited

Adversarially Approximated Autoencoder for Image Generation and Manipulation

Wenju Xu, Shawn Keshmiri, Guanghui Wang

Regularized autoencoders learn the latent codes, a structure with the regularization under the distribution, which enables them the capability to infer the latent codes given obser…

cs.CV2016★ 4 cited

Real-Time Visual Tracking: Promoting the Robustness of Correlation Filter Learning

Yao Sui, Ziming Zhang, Guanghui Wang +2

Correlation filtering based tracking model has received lots of attention and achieved great success in real-time tracking, however, the lost function in current correlation filter…

cs.CV2016

Robust Structure from Motion in the Presence of Outliers and Missing Data

Guanghui Wang

Structure from motion is an import theme in computer vision. Although great progress has been made both in theory and applications, most of the algorithms only work for static scen…

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