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Xiaogang Wang

10 papers hereh-index 8700 citations11 works total

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

author position
  • middle author5
  • last author4

Across the 9 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CV10
same name
  • Xiaogang Wang — 427 papers
  • Xiaogang Wang — 111 papers, h 132
  • Xiaogang Wang — 64 papers, h 50
  • Xiaogang Wang — 12 papers, h 10
  • Xiaogang Wang — 9 papers, h 10
  • Xiaogang Wang — 6 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
20212024
most citedZoomNAS: Searching for Whole-body Human Pose Estimation in the Wild

43 citations · 102 across the 9 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CV2022★ 43 cited

ZoomNAS: Searching for Whole-body Human Pose Estimation in the Wild

Lumin Xu, Sheng Jin, Wentao Liu +4

This paper investigates the task of 2D whole-body human pose estimation, which aims to localize dense landmarks on the entire human body including body, feet, face, and hands. We p…

cs.CV2022★ 3 cited

Pose for Everything: Towards Category-Agnostic Pose Estimation

Lumin Xu, Sheng Jin, Wang Zeng +5

Existing works on 2D pose estimation mainly focus on a certain category, e.g. human, animal, and vehicle. However, there are lots of application scenarios that require detecting th…

cs.CV2022★ 10 cited

Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer

Wang Zeng, Sheng Jin, Wentao Liu +4

Vision transformers have achieved great successes in many computer vision tasks. Most methods generate vision tokens by splitting an image into a regular and fixed grid and treatin…

cs.CV2022★ 1 cited

Weak Augmentation Guided Relational Self-Supervised Learning

Mingkai Zheng, Shan You, Fei Wang +4

Self-supervised Learning (SSL) including the mainstream contrastive learning has achieved great success in learning visual representations without data annotations. However, most m…

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