A Novel Contractive GAN Model for a Unified Approach Towards Blind Quality Assessment of Images from Heterogeneous Sources

Tan Lu, Ann Dooms. A Novel Contractive GAN Model for a Unified Approach Towards Blind Quality Assessment of Images from Heterogeneous Sources. In George Bebis, Zhaozheng Yin, Edward Kim, Jan Bender, Kartic Subr, Bum chul Kwon, Jian Zhao 0010, Denis Kalkofen, George Baciu, editors, Advances in Visual Computing - 15th International Symposium, ISVC 2020, San Diego, CA, USA, October 5-7, 2020, Proceedings, Part I. Volume 12509 of Lecture Notes in Computer Science, pages 27-38, Springer, 2020. [doi]

@inproceedings{LuD20-4,
  title = {A Novel Contractive GAN Model for a Unified Approach Towards Blind Quality Assessment of Images from Heterogeneous Sources},
  author = {Tan Lu and Ann Dooms},
  year = {2020},
  doi = {10.1007/978-3-030-64556-4_3},
  url = {https://doi.org/10.1007/978-3-030-64556-4_3},
  researchr = {https://researchr.org/publication/LuD20-4},
  cites = {0},
  citedby = {0},
  pages = {27-38},
  booktitle = {Advances in Visual Computing - 15th International Symposium, ISVC 2020, San Diego, CA, USA, October 5-7, 2020, Proceedings, Part I},
  editor = {George Bebis and Zhaozheng Yin and Edward Kim and Jan Bender and Kartic Subr and Bum chul Kwon and Jian Zhao 0010 and Denis Kalkofen and George Baciu},
  volume = {12509},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-64556-4},
}