◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Yisheng Song

4 papers hereh-index 41.1k citations8 works total

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

author position
  • first author4

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

fields
  • cs.CV4
same name
  • Yisheng Song — 15 papers, h 28
  • Yisheng Song — 6 papers, h 2
  • Yisheng Song — 4 papers, h 1
  • Yisheng Song — 4 papers, h 1
  • Yisheng Song — 2 papers, h 1
  • Yisheng Song — 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

activity
20192021
collaborators

4 papers

cs.CV2021

Constructing Stronger and Faster Baselines for Skeleton-based Action Recognition

Yi-Fan Song, Zhang Zhang, Caifeng Shan +1

One essential problem in skeleton-based action recognition is how to extract discriminative features over all skeleton joints. However, the complexity of the recent State-Of-The-Ar…

cs.CV2020

Stronger, Faster and More Explainable: A Graph Convolutional Baseline for Skeleton-based Action Recognition

Yi-Fan Song, Zhang Zhang, Caifeng Shan +1

One essential problem in skeleton-based action recognition is how to extract discriminative features over all skeleton joints. However, the complexity of the State-Of-The-Art (SOTA…

cs.CV2020

Richly Activated Graph Convolutional Network for Robust Skeleton-based Action Recognition

Yi-Fan Song, Zhang Zhang, Caifeng Shan +1

Current methods for skeleton-based human action recognition usually work with complete skeletons. However, in real scenarios, it is inevitable to capture incomplete or noisy skelet…

cs.CV2019

Richly Activated Graph Convolutional Network for Action Recognition with Incomplete Skeletons

Yi-Fan Song, Zhang Zhang, Liang Wang

Current methods for skeleton-based human action recognition usually work with completely observed skeletons. However, in real scenarios, it is prone to capture incomplete and noisy…

◍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.