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Wei Peng

Univerisity of Oulu

11 papers hereh-index 151.5k citations25 works total

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

author position
  • first author4
  • middle author6

Across the 10 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CV8
  • eess.IV2
  • cs.LG1
affiliations
  • Univerisity of Oulu
Homepage
same name
  • Wei Peng — 38 papers, h 56
  • Wei Peng — 14 papers, h 7
  • Wei Peng — 14 papers, h 5
  • Wei Peng — 8 papers, h 23
  • Wei Peng — 8 papers, h 6
  • Wei Peng — 7 papers, h 9

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
20192025
most citedLearning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching

27 citations · 48 across the 9 of their papers we have counts for

collaborators
Showing 2020 · cs.CVShow all

3 papers · 2 filters

cs.CV2020★ 2 cited

2nd Place Scheme on Action Recognition Track of ECCV 2020 VIPriors Challenges: An Efficient Optical Flow Stream Guided Framework

Haoyu Chen, Zitong Yu, Xin Liu +3

To address the problem of training on small datasets for action recognition tasks, most prior works are either based on a large number of training samples or require pre-trained mo…

cs.CV2020★ 4 cited

Mix Dimension in Poincaré Geometry for 3D Skeleton-based Action Recognition

Wei Peng, Jingang Shi, Zhaoqiang Xia +1

Graph Convolutional Networks (GCNs) have already demonstrated their powerful ability to model the irregular data, e.g., skeletal data in human action recognition, providing an exci…

cs.CV2020

Revealing the Invisible with Model and Data Shrinking for Composite-database Micro-expression Recognition

Zhaoqiang Xia, Wei Peng, Huai-Qian Khor +2

Composite-database micro-expression recognition is attracting increasing attention as it is more practical to real-world applications. Though the composite database provides more s…

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