A Unified Multimodal De- and Re-Coupling Framework for RGB-D Motion Recognition.

Zhou B, Wang P, Wan J, Liang Y, Wang F

Open source

DOI
10.1109/tpami.2023.3274783
Published
2023 Oct
Container
IEEE transactions on pattern analysis and machine intelligence
Publisher
Not recorded
Open access
unknown

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1109/tpami.2023.3274783,
  title = {A Unified Multimodal De- and Re-Coupling Framework for RGB-D Motion Recognition.},
  author = {Zhou B and Wang P and Wan J and Liang Y and Wang F},
  year = {2023},
  journal = {IEEE transactions on pattern analysis and machine intelligence},
  doi = {10.1109/tpami.2023.3274783},
  url = {https://doi.org/10.1109/tpami.2023.3274783}
}

RIS

TY  - JOUR
TI  - A Unified Multimodal De- and Re-Coupling Framework for RGB-D Motion Recognition.
AU  - Zhou B
AU  - Wang P
AU  - Wan J
AU  - Liang Y
AU  - Wang F
PY  - 2023
JO  - IEEE transactions on pattern analysis and machine intelligence
DO  - 10.1109/tpami.2023.3274783
UR  - https://doi.org/10.1109/tpami.2023.3274783
ER  - 

APA

B, Z., P, W., J, W., Y, L., & F, W. (2023). A Unified Multimodal De- and Re-Coupling Framework for RGB-D Motion Recognition.. IEEE transactions on pattern analysis and machine intelligence. https://doi.org/10.1109/tpami.2023.3274783

Source records