ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1705.00835
  4. Cited By
Investigation of Different Skeleton Features for CNN-based 3D Action
  Recognition

Investigation of Different Skeleton Features for CNN-based 3D Action Recognition

2 May 2017
Zewei Ding
Pichao Wang
P. Ogunbona
W. Li
ArXivPDFHTML

Papers citing "Investigation of Different Skeleton Features for CNN-based 3D Action Recognition"

3 / 3 papers shown
Title
Skeleton Sequence and RGB Frame Based Multi-Modality Feature Fusion
  Network for Action Recognition
Skeleton Sequence and RGB Frame Based Multi-Modality Feature Fusion Network for Action Recognition
Xiaoguang Zhu
Ye Zhu
Haoyu Wang
Honglin Wen
Yan Yan
Peilin Liu
9
25
0
23 Feb 2022
A Survey on 3D Skeleton-Based Action Recognition Using Learning Method
A Survey on 3D Skeleton-Based Action Recognition Using Learning Method
Bin Ren
Mengyuan Liu
Runwei Ding
Hong Liu
11
118
0
14 Feb 2020
Scene Flow to Action Map: A New Representation for RGB-D based Action
  Recognition with Convolutional Neural Networks
Scene Flow to Action Map: A New Representation for RGB-D based Action Recognition with Convolutional Neural Networks
Pichao Wang
W. Li
Zhimin Gao
Yuyao Zhang
Chang-Fu Tang
P. Ogunbona
3DPC
159
131
0
28 Feb 2017
1