Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Skeleton-Based Action Recognition With Shift Graph Convolutional Network
Ke Cheng, Yifan Zhang, Xiangyu He, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
Closed Access | Times Cited: 724

Showing 1-25 of 724 citing articles:

Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition
Yuxin Chen, Ziqi Zhang, Chunfeng Yuan, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 13339-13348
Open Access | Times Cited: 567
Revisiting Skeleton-based Action Recognition
Haodong Duan, Yue Zhao, Kai Chen, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 2959-2968
Open Access | Times Cited: 467
A survey of human-in-the-loop for machine learning
Xingjiao Wu, Luwei Xiao, Yixuan Sun, et al.
Future Generation Computer Systems (2022) Vol. 135, pp. 364-381
Open Access | Times Cited: 384
Human Action Recognition From Various Data Modalities: A Review
Zehua Sun, Qiuhong Ke, Hossein Rahmani, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022), pp. 1-20
Open Access | Times Cited: 340
Skeleton-based action recognition via spatial and temporal transformer networks
Chiara Plizzari, Marco Cannici, Matteo Matteucci
Computer Vision and Image Understanding (2021) Vol. 208-209, pp. 103219-103219
Open Access | Times Cited: 278
Constructing Stronger and Faster Baselines for Skeleton-Based Action Recognition
Yifan Song, Zhang Zhang, Caifeng Shan, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 2, pp. 1474-1488
Open Access | Times Cited: 273
InfoGCN: Representation Learning for Human Skeleton-based Action Recognition
Hyung‐gun Chi, Myoung Hoon Ha, Seunggeun Chi, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 20154-20164
Closed Access | Times Cited: 207
Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition
Zhan Chen, Sicheng Li, Bing Yang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 2, pp. 1113-1122
Open Access | Times Cited: 195
UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles
Tianjiao Li, Jun Liu, Wei Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 16261-16270
Open Access | Times Cited: 171
Spatial Temporal Transformer Network for Skeleton-Based Action Recognition
Chiara Plizzari, Marco Cannici, Matteo Matteucci
Lecture notes in computer science (2021), pp. 694-701
Closed Access | Times Cited: 166
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future
David Ahmedt‐Aristizabal, Mohammad Ali Armin, Simon Denman, et al.
Sensors (2021) Vol. 21, Iss. 14, pp. 4758-4758
Open Access | Times Cited: 157
Expansion-Squeeze-Excitation Fusion Network for Elderly Activity Recognition
Xiangbo Shu, Jiawen Yang, Rui Yan, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2022) Vol. 32, Iss. 8, pp. 5281-5292
Open Access | Times Cited: 150
Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation
Ailing Zeng, Xiao Sun, Lei Yang, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 121
Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition
Jungho Lee, Minhyeok Lee, Dogyoon Lee, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 10410-10419
Open Access | Times Cited: 114
BABEL: Bodies, Action and Behavior with English Labels
Abhinanda R. Punnakkal, Arjun Chandrasekaran, Nikos Athanasiou, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 722-731
Open Access | Times Cited: 112
Early, intermediate and late fusion strategies for robust deep learning-based multimodal action recognition
Said Yacine Boulahia, Abdenour Amamra, Mohamed Ridha Madi, et al.
Machine Vision and Applications (2021) Vol. 32, Iss. 6
Closed Access | Times Cited: 110
STAR-Transformer: A Spatio-temporal Cross Attention Transformer for Human Action Recognition
Dasom Ahn, Sangwon Kim, Hyunsu Hong, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023), pp. 3319-3328
Open Access | Times Cited: 110
Topology-Aware Convolutional Neural Network for Efficient Skeleton-Based Action Recognition
Kailin Xu, Fanfan Ye, Qiaoyong Zhong, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 3, pp. 2866-2874
Open Access | Times Cited: 101
Multi-Granularity Anchor-Contrastive Representation Learning for Semi-Supervised Skeleton-Based Action Recognition
Xiangbo Shu, Binqian Xu, Liyan Zhang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 6, pp. 7559-7576
Closed Access | Times Cited: 92
PYSKL: Towards Good Practices for Skeleton Action Recognition
Haodong Duan, Jiaqi Wang, Kai Chen, et al.
Proceedings of the 30th ACM International Conference on Multimedia (2022)
Open Access | Times Cited: 91
A union of deep learning and swarm-based optimization for 3D human action recognition
Hritam Basak, Rohit Kundu, Pawan Kumar Singh, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 87
MotionBERT: A Unified Perspective on Learning Human Motion Representations
Wentao Zhu, Xiaoxuan Ma, Zhaoyang Liu, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 15039-15053
Open Access | Times Cited: 82
STIP-GCN: Space-time interest points graph convolutional network for action recognition
Sravani Yenduri, Vishnu Chalavadi, C. Krishna Mohan
2022 International Joint Conference on Neural Networks (IJCNN) (2022), pp. 1-8
Closed Access | Times Cited: 79
Learning Discriminative Representations for Skeleton Based Action Recognition
Huanyu Zhou, Qingjie Liu, Yunhong Wang
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 10608-10617
Open Access | Times Cited: 78
Joint-Bone Fusion Graph Convolutional Network for Semi-Supervised Skeleton Action Recognition
Zhigang Tu, Jiaxu Zhang, Hongyan Li, et al.
IEEE Transactions on Multimedia (2022) Vol. 25, pp. 1819-1831
Open Access | Times Cited: 71
Page 1 - Next Page

Scroll to top