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Skeleton-based Action Recognition through Contrasting Two-Stream
  Spatial-Temporal Networks

Skeleton-based Action Recognition through Contrasting Two-Stream Spatial-Temporal Networks

27 January 2023
Chen Pang
Xuequan Lu
Lei Lyu
ArXivPDFHTML

Papers citing "Skeleton-based Action Recognition through Contrasting Two-Stream Spatial-Temporal Networks"

7 / 7 papers shown
Title
Jointly Understand Your Command and Intention:Reciprocal Co-Evolution between Scene-Aware 3D Human Motion Synthesis and Analysis
Jointly Understand Your Command and Intention:Reciprocal Co-Evolution between Scene-Aware 3D Human Motion Synthesis and Analysis
Xuehao Gao
Yang Yang
Shaoyi Du
Guo-Jun Qi
Junwei Han
31
1
0
01 Mar 2025
An Information Compensation Framework for Zero-Shot Skeleton-based
  Action Recognition
An Information Compensation Framework for Zero-Shot Skeleton-based Action Recognition
Haojun Xu
Yanlei Gao
Jie Li
Xinbo Gao
32
2
0
02 Jun 2024
Frequency-Guided Multi-Level Human Action Anomaly Detection with
  Normalizing Flows
Frequency-Guided Multi-Level Human Action Anomaly Detection with Normalizing Flows
Shun Maeda
Chunzhi Gu
Junzhou Yu
Shogo Tokai
Shangce Gao
Chao Zhang
16
0
0
26 Apr 2024
GPT4Ego: Unleashing the Potential of Pre-trained Models for Zero-Shot
  Egocentric Action Recognition
GPT4Ego: Unleashing the Potential of Pre-trained Models for Zero-Shot Egocentric Action Recognition
Guangzhao Dai
Xiangbo Shu
Wenhao Wu
Rui Yan
Jiachao Zhang
VLM
8
3
0
18 Jan 2024
A Decoupled Spatio-Temporal Framework for Skeleton-based Action
  Segmentation
A Decoupled Spatio-Temporal Framework for Skeleton-based Action Segmentation
Yunheng Li
Zhongyu Li
Shanghua Gao
Qilong Wang
Qibin Hou
Ming-Ming Cheng
35
0
0
10 Dec 2023
3D Human Action Representation Learning via Cross-View Consistency
  Pursuit
3D Human Action Representation Learning via Cross-View Consistency Pursuit
Linguo Li
Minsi Wang
Bingbing Ni
Hang Wang
Jiancheng Yang
Wenjun Zhang
108
154
0
29 Apr 2021
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
231
1,801
0
25 Nov 2016
1