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]Link  FactorNet: Holistic Actor, Object, and Scene Factorization for Action Recognition in Videos. [link]Paper  bibtex   
@article{journals/tcsv/NigamDG22,
  added-at = {2023-08-28T00:00:00.000+0200},
  author = {Nigam, Nitika and Dutta, Tanima and Gupta, Hari Prabhat},
  biburl = {https://www.bibsonomy.org/bibtex/2f177f00a657faa038c41774ba8d7792e/dblp},
  ee = {https://www.wikidata.org/entity/Q114084918},
  interhash = {66053d9559ec8f82c7060c3899fc705e},
  intrahash = {f177f00a657faa038c41774ba8d7792e},
  journal = {IEEE Trans. Circuits Syst. Video Technol.},
  keywords = {dblp},
  number = 3,
  pages = {976-991},
  timestamp = {2024-04-08T19:04:52.000+0200},
  title = {FactorNet: Holistic Actor, Object, and Scene Factorization for Action Recognition in Videos.},
  url = {http://dblp.uni-trier.de/db/journals/tcsv/tcsv32.html#NigamDG22},
  volume = 32,
  year = 2022
}

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