Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses

Christian Rupprecht, Iro Laina, Robert DiPietro, Maximilian Baust. Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses. In IEEE International Conference on Computer Vision, ICCV 2017, Venice, Italy, October 22-29, 2017. pages 3611-3620, IEEE, 2017. [doi]

@inproceedings{RupprechtLDB17,
  title = {Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses},
  author = {Christian Rupprecht and Iro Laina and Robert DiPietro and Maximilian Baust},
  year = {2017},
  doi = {10.1109/ICCV.2017.388},
  url = {http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.388},
  researchr = {https://researchr.org/publication/RupprechtLDB17},
  cites = {0},
  citedby = {0},
  pages = {3611-3620},
  booktitle = {IEEE International Conference on Computer Vision, ICCV 2017, Venice, Italy, October 22-29, 2017},
  publisher = {IEEE},
  isbn = {978-1-5386-1032-9},
}