DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model

Stéphane Lathuilière, Pablo Mesejo, Xavier Alameda-Pineda, Radu Horaud. DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model. In Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss, editors, Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part V. Volume 11209 of Lecture Notes in Computer Science, pages 205-221, Springer, 2018. [doi]

@inproceedings{LathuiliereMAH18,
  title = {DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model},
  author = {Stéphane Lathuilière and Pablo Mesejo and Xavier Alameda-Pineda and Radu Horaud},
  year = {2018},
  doi = {10.1007/978-3-030-01228-1_13},
  url = {https://doi.org/10.1007/978-3-030-01228-1_13},
  researchr = {https://researchr.org/publication/LathuiliereMAH18},
  cites = {0},
  citedby = {0},
  pages = {205-221},
  booktitle = {Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part V},
  editor = {Vittorio Ferrari and Martial Hebert and Cristian Sminchisescu and Yair Weiss},
  volume = {11209},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-01228-1},
}