FactorNet: Holistic Actor, Object, and Scene Factorization for Action Recognition in Videos. Nigam, N., Dutta, T., & Gupta, H. P. IEEE Trans. Circuits Syst. Video Technol., 32(3):976–991, 2022.
FactorNet: Holistic Actor, Object, and Scene Factorization for Action Recognition in Videos [link]Paper  doi  bibtex   
@article{DBLP:journals/tcsv/NigamDG22,
  author       = {Nitika Nigam and
                  Tanima Dutta and
                  Hari Prabhat Gupta},
  title        = {FactorNet: Holistic Actor, Object, and Scene Factorization for Action
                  Recognition in Videos},
  journal      = {{IEEE} Trans. Circuits Syst. Video Technol.},
  volume       = {32},
  number       = {3},
  pages        = {976--991},
  year         = {2022},
  url          = {https://doi.org/10.1109/TCSVT.2021.3070688},
  doi          = {10.1109/TCSVT.2021.3070688},
  timestamp    = {Mon, 28 Aug 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/tcsv/NigamDG22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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