Video Restoration Framework and Its Meta-adaptations to Data-Poor Conditions

Prashant W. Patil, Sunil Gupta 0001, Santu Rana, Svetha Venkatesh. Video Restoration Framework and Its Meta-adaptations to Data-Poor Conditions. In Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner, editors, Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXVIII. Volume 13688 of Lecture Notes in Computer Science, pages 143-160, Springer, 2022. [doi]

@inproceedings{PatilGRV22-0,
  title = {Video Restoration Framework and Its Meta-adaptations to Data-Poor Conditions},
  author = {Prashant W. Patil and Sunil Gupta 0001 and Santu Rana and Svetha Venkatesh},
  year = {2022},
  doi = {10.1007/978-3-031-19815-1_9},
  url = {https://doi.org/10.1007/978-3-031-19815-1_9},
  researchr = {https://researchr.org/publication/PatilGRV22-0},
  cites = {0},
  citedby = {0},
  pages = {143-160},
  booktitle = {Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXVIII},
  editor = {Shai Avidan and Gabriel J. Brostow and Moustapha Cissé and Giovanni Maria Farinella and Tal Hassner},
  volume = {13688},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-19815-1},
}