◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Wen Gao

69 papers hereh-index 6921.4k citations798 works total

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

author position
  • first author1
  • middle author4
  • last author59

Across the 64 of 69 papers where every author was matched, so the position is known.

fields
  • cs.CV43
  • cs.MM11
  • eess.IV7
  • cs.LG3
  • eess.AS2
  • eess.SP2
same name
  • Wen Gao — 7 papers, h 44
  • Wen Gao — 6 papers, h 8
  • Wen Gao — 6 papers, h 4
  • Wen Gao — 4 papers, h 5
  • Wen Gao — 3 papers, h 4
  • Wen Gao — 3 papers, h 46

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
20142022
most citedVideo Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics

262 citations · 1.9k across the 68 of their papers we have counts for

collaborators
Showing 2014 · cs.CVShow all

4 papers · 2 filters

cs.CV2014

Robust Estimation of 3D Human Poses from a Single Image

Chunyu Wang, Yizhou Wang, Zhouchen Lin +2

Human pose estimation is a key step to action recognition. We propose a method of estimating 3D human poses from a single image, which works in conjunction with an existing 2D pose…

cs.CV2014

Group-based Sparse Representation for Image Restoration

Jian Zhang, Debin Zhao, Wen Gao

Traditional patch-based sparse representation modeling of natural images usually suffer from two problems. First, it has to solve a large-scale optimization problem with high compu…

cs.CV2014★ 183 cited

Image Compressive Sensing Recovery Using Adaptively Learned Sparsifying Basis via L0 Minimization

Jian Zhang, Chen Zhao, Debin Zhao +1

From many fewer acquired measurements than suggested by the Nyquist sampling theory, compressive sensing (CS) theory demonstrates that, a signal can be reconstructed with high prob…

cs.CV2014

Structural Group Sparse Representation for Image Compressive Sensing Recovery

Jian Zhang, Debin Zhao, Feng Jiang +1

Compressive Sensing (CS) theory shows that a signal can be decoded from many fewer measurements than suggested by the Nyquist sampling theory, when the signal is sparse in some dom…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.