clearview.bib

% BibTeX entries for ClearView: Practical Image Deraining with PyTorch
%
% Main Citation
% =============
% Use this entry to cite ClearView in your research:

@software{saksena2025clearview,
  author       = {Saksena, Saumya Kumaar},
  title        = {{ClearView: Practical Image Deraining with PyTorch}},
  year         = {2025},
  month        = jan,
  url          = {https://github.com/dronefreak/clearview},
  version      = {1.0.0},
  note         = {A PyTorch framework for single-image deraining with comprehensive testing and CI/CD integration}
}

% Alternative Formats
% ===================

% If citing as a technical report or preprint:
@techreport{saksena2025clearview_report,
  author       = {Saksena, Saumya Kumaar},
  title        = {{ClearView: A PyTorch Framework for Practical Image Deraining}},
  institution  = {Independent Research},
  year         = {2025},
  type         = {Technical Report},
  url          = {https://github.com/dronefreak/clearview},
  note         = {GitHub Repository}
}

% If citing as a misc entry:
@misc{saksena2025clearview_misc,
  author       = {Saksena, Saumya Kumaar},
  title        = {{ClearView: Practical Image Deraining with PyTorch}},
  year         = {2025},
  howpublished = {\url{https://github.com/dronefreak/clearview}},
  note         = {GitHub repository}
}

% Related Work and Dependencies
% ==============================
% These are the key papers/technologies that ClearView builds upon:

% U-Net Architecture
@inproceedings{ronneberger2015unet,
  author       = {Ronneberger, Olaf and Fischer, Philipp and Brox, Thomas},
  title        = {{U-Net: Convolutional Networks for Biomedical Image Segmentation}},
  booktitle    = {Medical Image Computing and Computer-Assisted Intervention (MICCAI)},
  year         = {2015},
  pages        = {234--241},
  publisher    = {Springer},
  doi          = {10.1007/978-3-319-24574-4_28}
}

% ResNet Architecture
@inproceedings{he2016resnet,
  author       = {He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
  title        = {{Deep Residual Learning for Image Recognition}},
  booktitle    = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year         = {2016},
  pages        = {770--778},
  doi          = {10.1109/CVPR.2016.90}
}

% Perceptual Loss
@inproceedings{johnson2016perceptual,
  author       = {Johnson, Justin and Alahi, Alexandre and Fei-Fei, Li},
  title        = {{Perceptual Losses for Real-Time Style Transfer and Super-Resolution}},
  booktitle    = {European Conference on Computer Vision (ECCV)},
  year         = {2016},
  pages        = {694--711},
  publisher    = {Springer},
  doi          = {10.1007/978-3-319-46475-6_43}
}

% SSIM Metric
@article{wang2004ssim,
  author       = {Wang, Zhou and Bovik, Alan C. and Sheikh, Hamid R. and Simoncelli, Eero P.},
  title        = {{Image Quality Assessment: From Error Visibility to Structural Similarity}},
  journal      = {IEEE Transactions on Image Processing},
  year         = {2004},
  volume       = {13},
  number       = {4},
  pages        = {600--612},
  doi          = {10.1109/TIP.2003.819861}
}

% PyTorch Framework
@inproceedings{paszke2019pytorch,
  author       = {Paszke, Adam and Gross, Sam and Massa, Francisco and Lerer, Adam and Bradbury, James and Chanan, Gregory and Killeen, Trevor and Lin, Zeming and Gimelshein, Natalia and Antiga, Luca and others},
  title        = {{PyTorch: An Imperative Style, High-Performance Deep Learning Library}},
  booktitle    = {Advances in Neural Information Processing Systems (NeurIPS)},
  year         = {2019},
  volume       = {32},
  pages        = {8024--8035},
  url          = {https://proceedings.neurips.cc/paper/2019/hash/bdbca288fee7f92f2bfa9f7012727740-Abstract.html}
}

% Image Deraining Survey (if applicable to your work)
@article{yang2020single,
  author       = {Yang, Wenhan and Tan, Robby T. and Feng, Jiashi and Liu, Jiaying and Guo, Zongming and Yan, Shuicheng},
  title        = {{Deep Joint Rain Detection and Removal from a Single Image}},
  journal      = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year         = {2020},
  volume       = {42},
  number       = {11},
  pages        = {2985--3000},
  doi          = {10.1109/TPAMI.2019.2920511}
}

% Example Rain Dataset Citation (Rain100L/Rain100H)
@inproceedings{yang2017rain100,
  author       = {Yang, Wenhan and Tan, Robby T. and Feng, Jiashi and Liu, Jiaying and Guo, Zongming and Yan, Shuicheng},
  title        = {{Deep Joint Rain Detection and Removal from a Single Image}},
  booktitle    = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year         = {2017},
  pages        = {1357--1366},
  doi          = {10.1109/CVPR.2017.183}
}

% Example usage in LaTeX:
% \cite{saksena2025clearview}
% \cite{ronneberger2015unet,he2016resnet}
% \cite{johnson2016perceptual,wang2004ssim}