"2-D Skeleton-Based Action Recognition via Two-Branch Stacked LSTM-RNNs."

Danilo Avola et al. (2020)

> Home

Details and statistics

DOI: 10.1109/TMM.2019.2960588

access: closed

type: Journal Article

metadata version: 2022-10-02

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/tmm/AvolaCCFMR20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tmm/AvolaCCFMR20
Danilo Avola, Marco Cascio, Luigi Cinque, Gian Luca Foresti, Cristiano Massaroni, Emanuele Rodolà:
2-D Skeleton-Based Action Recognition via Two-Branch Stacked LSTM-RNNs. IEEE Trans. Multim. 22(10): 2481-2496 (2020)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.