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@article{DBLP:journals/corr/abs-2305-15758,
  author       = {Rawad Melhem and
                  Assef Jafar and
                  Oumayma Al Dakkak},
  title        = {Towards Solving Cocktail-Party: The First Method to Build a Realistic
                  Dataset with Ground Truths for Speech Separation},
  journal      = {CoRR},
  volume       = {abs/2305.15758},
  year         = {2023},
  url          = {https://doi.org/10.48550/arXiv.2305.15758},
  doi          = {10.48550/ARXIV.2305.15758},
  eprinttype    = {arXiv},
  eprint       = {2305.15758},
  timestamp    = {Tue, 06 Jun 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2305-15758.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-2203-04661,
  author       = {Tim Michels and
                  Arne Petersen and
                  Reinhard Koch},
  title        = {Creating Realistic Ground Truth Data for the Evaluation of Calibration
                  Methods for Plenoptic and Conventional Cameras},
  journal      = {CoRR},
  volume       = {abs/2203.04661},
  year         = {2022},
  url          = {https://doi.org/10.48550/arXiv.2203.04661},
  doi          = {10.48550/ARXIV.2203.04661},
  eprinttype    = {arXiv},
  eprint       = {2203.04661},
  timestamp    = {Wed, 16 Mar 2022 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2203-04661.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/iccvw/ZwilgmeyerYTMS21,
  author       = {Peder Georg Olofsson Zwilgmeyer and
                  Mauhing Yip and
                  Andreas Langeland Teigen and
                  Rudolf Mester and
                  Annette Stahl},
  title        = {The {VAROS} Synthetic Underwater Data Set: Towards realistic multi-sensor
                  underwater data with ground truth},
  booktitle    = {{IEEE/CVF} International Conference on Computer Vision Workshops,
                  {ICCVW} 2021, Montreal, BC, Canada, October 11-17, 2021},
  pages        = {3715--3723},
  publisher    = {{IEEE}},
  year         = {2021},
  url          = {https://doi.org/10.1109/ICCVW54120.2021.00415},
  doi          = {10.1109/ICCVW54120.2021.00415},
  timestamp    = {Fri, 03 Dec 2021 17:37:22 +0100},
  biburl       = {https://dblp.org/rec/conf/iccvw/ZwilgmeyerYTMS21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/prl/ZhangLLMYX20,
  author       = {Juncheng Zhang and
                  Qingmin Liao and
                  Shaojun Liu and
                  Haoyu Ma and
                  Wenming Yang and
                  Jing{-}Hao Xue},
  title        = {Real-MFF: {A} large realistic multi-focus image dataset with ground
                  truth},
  journal      = {Pattern Recognit. Lett.},
  volume       = {138},
  pages        = {370--377},
  year         = {2020},
  url          = {https://doi.org/10.1016/j.patrec.2020.08.002},
  doi          = {10.1016/J.PATREC.2020.08.002},
  timestamp    = {Thu, 14 Oct 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/prl/ZhangLLMYX20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-2003-12779,
  author       = {Juncheng Zhang and
                  Qingmin Liao and
                  Shaojun Liu and
                  Haoyu Ma and
                  Wenming Yang and
                  Jing{-}Hao Xue},
  title        = {Real-MFF Dataset: {A} Large Realistic Multi-focus Image Dataset with
                  Ground Truth},
  journal      = {CoRR},
  volume       = {abs/2003.12779},
  year         = {2020},
  url          = {https://arxiv.org/abs/2003.12779},
  eprinttype    = {arXiv},
  eprint       = {2003.12779},
  timestamp    = {Wed, 01 Apr 2020 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2003-12779.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/3dim/MichelsPK19,
  author       = {Tim Michels and
                  Arne Petersen and
                  Reinhard Koch},
  title        = {Creating Realistic Ground Truth Data for the Evaluation of Calibration
                  Methods for Plenoptic and Conventional Cameras},
  booktitle    = {2019 International Conference on 3D Vision, 3DV 2019, Qu{\'{e}}bec
                  City, QC, Canada, September 16-19, 2019},
  pages        = {434--442},
  publisher    = {{IEEE}},
  year         = {2019},
  url          = {https://doi.org/10.1109/3DV.2019.00055},
  doi          = {10.1109/3DV.2019.00055},
  timestamp    = {Sat, 05 Sep 2020 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/3dim/MichelsPK19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}