The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition
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Cites
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Cited by
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
Yan, S., Xiong, Y., & Lin, D. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v32i1.12328 · Cited by 5,410
“In general, human action can be recognized from multiple modalities(Simonyan and Zisserman 2014; Tran et al. 2015; Wang, Qiao, and Tang 2015; Wang et al. 2016; Zhao et al. 2017), such as appearance, depth, optical flows, and body skeletons (Du, Wang, and Wang 2015; Liu et al. 2016).”
BackgroundMethodSocial GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
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Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN
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A Comprehensive Survey of Vision-Based Human Action Recognition Methods
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Skeleton-based action recognition via spatial and temporal transformer networks
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Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition
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Spatiotemporal Co-Attention Recurrent Neural Networks for Human-Skeleton Motion Prediction
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Spatio-temporal segments attention for skeleton-based action recognition
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Unsupervised 3D Human Pose Representation with Viewpoint and Pose Disentanglement
Nie, Q., Liu, Z., & Liu, Y. (2020) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-58529-7_7 · Cited by 80
Deep Fisher discriminant learning for mobile hand gesture recognition
Li, C., Xie, C., Zhang, B., Chen, C., & Han, J. (2018) · Pattern Recognition · doi:10.1016/j.patcog.2017.12.023 · Cited by 72
Unsupervised Feature Learning of Human Actions As Trajectories in Pose Embedding Manifold
Kundu, J. N., Gor, M., Uppala, P. K., & Radhakrishnan, V. B. (2019) · 2019 IEEE Winter Conference on Applications of Computer Vision (WACV) · doi:10.1109/wacv.2019.00160 · Cited by 72
Learning Multi-View Interactional Skeleton Graph for Action Recognition
Wang, M., Ni, B., & Yang, X. (2023) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2020.3032738 · Cited by 67
Multi-Modality Multi-Task Recurrent Neural Network for Online Action Detection
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Self-citationLearning spatial-temporal features for video copy detection by the combination of CNN and RNN
Hu, Y., & Lu, X. (2018) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2018.05.013 · Cited by 57
View Enhanced Jigsaw Puzzle for Self-Supervised Feature Learning in 3D Human Action Recognition
You, W., & Wang, X. (2022) · IEEE Access · doi:10.1109/access.2022.3165040 · Cited by 6
Metadata
- Authors
- Liu, J., Shahroudy, A., Xu, D., & Wang, G.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2016
- Pages
- 816-833
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2510185399
- Cited by
- 1,351
- References
- 7
- FWCI
- 49.57
- Type
- conference paper
- Language
- en
- Open access
- green
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