Cited by 80Human Pose and Action Recognition3D Shape Modeling and AnalysisHuman Motion and Animation
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Unsupervised 3D Human Pose Representation with Viewpoint and Pose Disentanglement
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Citations
Cites
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 · cited 1×
“6M dataset Method MPJPE(mm) aGCN [31] 82.9 ST-GCN [30] 57.4 Martinez et al. [15] 45.5 SemGraph [33] 43.8 Ours 53.1 components designed in our method contribute to the final performance.”
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Research works printed but not linked: 35
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Cited by
Sorted by citations
3D Human Action Representation Learning via Cross-View Consistency Pursuit
Li, L., Wang, M., Ni, B., Wang, H., Yang, J., & Zhang, W. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr46437.2021.00471 · Cited by 236
“In Table 5, LongT GAN [65] adversarially trains the model by skeleton inpainting pretext task, MS2L [26] trains the model by multitask scheme, i.e, prediction, jiasaw puzzle and instance discrimination, AS-CAL [39] uses momentum LSTM encoder for contrastive learning with single-view skeleton sequence, P&C [47] trains…”
MethodGuo, T., Liu, H., Chen, Z., Liu, M., Wang, T., & Ding, R. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v36i1.19957 · Cited by 202
“As shown in Table 4, for a single stream (i.e., joint stream), our AimCLR outperforms all other methods (Zheng et al. 2018; Lin et al. 2020; Rao et al. 2021; Su, Liu, and Shlizerman 2020; Nie, Liu, and Liu 2020; Li et al. 2021).”
Method
Metadata
- Authors
- Nie, Q., Liu, Z., & Liu, Y.
- Affiliations
- Chinese University of Hong Kong (HK)
- Corresponding author
- Liu, Yunhui
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2020
- Pages
- 102-118
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W3103184573
- Cited by
- 80
- References
- 1
- Citations by year
- 2026: 5 · 2025: 10 · 2024: 13 · 2023: 27 · 2022: 17 · 2021: 8
- FWCI
- 3.95
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- Lecture notes in computer science (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Human Pose and Action Recognition
- Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › 3D Shape Modeling and Analysis
- Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Human Motion and Animation
- Keywords
- unsupervised learning, cross-dataset transferability
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