Cited by 409Human Pose and Action RecognitionHand Gesture Recognition SystemsContext-Aware Activity Recognition Systems

Skeleton-based action recognition via spatial and temporal transformer networks

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Plizzari, Chiara, Cannici, Marco, Matteucci, Matteo·2021·Computer Vision and Image Understanding

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  1. Bello, I., Zoph, B., Vaswani, A., Shlens, J., Le, Q.V., 2019a. Attention aug- mented convolutional networks, in: Proceedings of the IEEE/CVF Interna- tional Conference on Computer Vision (ICCV).
  2. Bello, I., Zoph, B., Vaswani, A., Shlens, J., Le, Q.V., 2019b. Attention aug- mented convolutional networks. Proceedings of the IEEE International Con- ference on Computer Vision , 3286-3295.
  3. Defferrard, M., Bresson, X., Vandergheynst, P., 2016. Convolutional neural networks on graphs with fast localized spectral filtering. Advances in neural information processing systems , 3844-3852.
  4. Keselman, L., Iselin Woodfill, J., Grunnet-Jepsen, A., Bhowmik, A., 2017. Intel realsense stereoscopic depth cameras, in: Proceedings of the IEEE Confer- ence on Computer Vision and Pattern Recognition Workshops, pp. 1-10.
  5. Kipf, T.N., Welling, M., 2017. Semi-supervised classification with graph con- volutional networks. 5th International Conference on Learning Representa- tions, ICLR .

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Authors
Plizzari, C., Cannici, M., & Matteucci, M.
Affiliations
  • Politecnico di Torino (IT)
  • Politecnico di Milano (IT)
Corresponding author
Plizzari, Chiara
Venue
Computer Vision and Image Understanding
Publisher
Elsevier BV
Published
2021-07
Volume
208-209
Pages
103219
ISSN
1077-3142 (ISSN-L)
OpenAlex
W3113067059
Cited by
409
References
73
Citations by year
2026: 58 · 2025: 80 · 2024: 95 · 2023: 104 · 2022: 54 · 2021: 18
FWCI
24.37
Type
journal article
Language
en
Open access
Locations
  • Computer Vision and Image Understanding (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • PORTO@Iris (submittedVersion, cc-by-nc-nd)
  • Virtual Community of Pathological Anatomy (University of Castilla La Mancha) (submittedVersion, other-oa)
  • Archivio istituzionale della Ricerca - Bocconi (submittedVersion, cc-by-nc-nd)
  • arXiv (Cornell University)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Human Pose and Action Recognition
  • Physical Sciences › Computer Science › Human-Computer Interaction › Hand Gesture Recognition Systems
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
Keywords
skeleton-based action recognition, human activity recognition, spatio-temporal transformer, self-attention, spatial self-attention, temporal self-attention, two-stream network, skeleton graph, 3D skeleton data, inter-frame correlation

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