Increasing the Robustness of CNN-Based Human Body Segmentation in Range Images by Modeling Sensor-Specific Artifacts

Cite

Text

Seoud et al. "Increasing the Robustness of CNN-Based Human Body Segmentation in Range Images by Modeling Sensor-Specific Artifacts." European Conference on Computer Vision Workshops, 2018. doi:10.1007/978-3-030-11015-4_55

Markdown

[Seoud et al. "Increasing the Robustness of CNN-Based Human Body Segmentation in Range Images by Modeling Sensor-Specific Artifacts." European Conference on Computer Vision Workshops, 2018.](https://mlanthology.org/eccvw/2018/seoud2018eccvw-increasing/) doi:10.1007/978-3-030-11015-4_55

BibTeX

@inproceedings{seoud2018eccvw-increasing,
  title     = {{Increasing the Robustness of CNN-Based Human Body Segmentation in Range Images by Modeling Sensor-Specific Artifacts}},
  author    = {Seoud, Lama and Boisvert, Jonathan and Drouin, Marc-Antoine and Picard, Michel and Godin, Guy},
  booktitle = {European Conference on Computer Vision Workshops},
  year      = {2018},
  pages     = {729-743},
  doi       = {10.1007/978-3-030-11015-4_55},
  url       = {https://mlanthology.org/eccvw/2018/seoud2018eccvw-increasing/}
}