New Trends in Image Restoration and Enhancement & Example-Based Single Image Super-Resolution Challenge

Locally Adaptive Color Correction for Underwater Image Dehazing and Matching

Codruta O. Ancuti,

Cosmin Ancuti,

Christophe De Vleeschouwer,

Rafael Garcia

[pdf]

[bibtex]

@InProceedings{Ancuti_2017_CVPR_Workshops,
author = {Ancuti, Codruta O. and Ancuti, Cosmin and De Vleeschouwer, Christophe and Garcia, Rafael},
title = {Locally Adaptive Color Correction for Underwater Image Dehazing and Matching},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}

Depth-Stretch: Enhancing Depth Perception Without Depth

Hagit Hel-Or,

Yacov Hel-Or,

Renato Keshet

[pdf]

[bibtex]

@InProceedings{Hel-Or_2017_CVPR_Workshops,
author = {Hel-Or, Hagit and Hel-Or, Yacov and Keshet, Renato},
title = {Depth-Stretch: Enhancing Depth Perception Without Depth},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}

FAST: A Framework to Accelerate Super-Resolution Processing on Compressed Videos

Zhengdong Zhang,

Vivienne Sze

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhang_2017_CVPR_Workshops,
author = {Zhang, Zhengdong and Sze, Vivienne},
title = {FAST: A Framework to Accelerate Super-Resolution Processing on Compressed Videos},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}

Fast External Denoising Using Pre-Learned Transformations

Shibin Parameswaran,

Enming Luo,

Charles-Alban Deledalle,

Truong Q. Nguyen

[pdf]

[bibtex]

@InProceedings{Parameswaran_2017_CVPR_Workshops,
author = {Parameswaran, Shibin and Luo, Enming and Deledalle, Charles-Alban and Nguyen, Truong Q.},
title = {Fast External Denoising Using Pre-Learned Transformations},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}

FormResNet: Formatted Residual Learning for Image Restoration

Jianbo Jiao,

Wei-Chih Tu,

Shengfeng He,

Rynson W. H. Lau

[pdf]

[bibtex]

@InProceedings{Jiao_2017_CVPR_Workshops,
author = {Jiao, Jianbo and Tu, Wei-Chih and He, Shengfeng and Lau, Rynson W. H.},
title = {FormResNet: Formatted Residual Learning for Image Restoration},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}

Exploiting Reflectional and Rotational Invariance in Single Image Superresolution

Simon Donne,

Laurens Meeus,

Hiep Quang Luong,

Bart Goossens,

Wilfried Philips

[pdf]

[bibtex]

@InProceedings{Donne_2017_CVPR_Workshops,
author = {Donne, Simon and Meeus, Laurens and Quang Luong, Hiep and Goossens, Bart and Philips, Wilfried},
title = {Exploiting Reflectional and Rotational Invariance in Single Image Superresolution},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}

Image Super Resolution Based on Fusing Multiple Convolution Neural Networks

Haoyu Ren,

Mostafa El-Khamy,

Jungwon Lee

[pdf]

[bibtex]

@InProceedings{Ren_2017_CVPR_Workshops,
author = {Ren, Haoyu and El-Khamy, Mostafa and Lee, Jungwon},
title = {Image Super Resolution Based on Fusing Multiple Convolution Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}

PaletteNet: Image Recolorization With Given Color Palette

Junho Cho,

Sangdoo Yun,

Kyoung Mu Lee,

Jin Young Choi

[pdf]

[bibtex]

@InProceedings{Cho_2017_CVPR_Workshops,
author = {Cho, Junho and Yun, Sangdoo and Mu Lee, Kyoung and Young Choi, Jin},
title = {PaletteNet: Image Recolorization With Given Color Palette},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}

SRHRF+: Self-Example Enhanced Single Image Super-Resolution Using Hierarchical Random Forests

Jun-Jie Huang,

Tianrui Liu,

Pier Luigi Dragotti,

Tania Stathaki

[pdf]

[bibtex]

@InProceedings{Huang_2017_CVPR_Workshops,
author = {Huang, Jun-Jie and Liu, Tianrui and Luigi Dragotti, Pier and Stathaki, Tania},
title = {SRHRF+: Self-Example Enhanced Single Image Super-Resolution Using Hierarchical Random Forests},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}

Image Denoising via CNNs: An Adversarial Approach

Nithish Divakar,

R. Venkatesh Babu

[pdf] [arXiv]

[bibtex]

@InProceedings{Divakar_2017_CVPR_Workshops,
author = {Divakar, Nithish and Venkatesh Babu, R.},
title = {Image Denoising via CNNs: An Adversarial Approach},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}

Multi-Resolution Data Fusion for Super-Resolution Electron Microscopy

Suhas Sreehari,

S. V. Venkatakrishnan,

Katherine L. Bouman,

Jeffrey P. Simmons,

Lawrence F. Drummy,

Charles A. Bouman

[pdf] [arXiv]

[bibtex]

@InProceedings{Sreehari_2017_CVPR_Workshops,
author = {Sreehari, Suhas and Venkatakrishnan, S. V. and Bouman, Katherine L. and Simmons, Jeffrey P. and Drummy, Lawrence F. and Bouman, Charles A.},
title = {Multi-Resolution Data Fusion for Super-Resolution Electron Microscopy},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}

Fast and Accurate Image Super-Resolution Using a Combined Loss

Jinchang Xu,

Yu Zhao,

Yuan Dong,

Hongliang Bai

[pdf]

[bibtex]

@InProceedings{Xu_2017_CVPR_Workshops,
author = {Xu, Jinchang and Zhao, Yu and Dong, Yuan and Bai, Hongliang},
title = {Fast and Accurate Image Super-Resolution Using a Combined Loss},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}

Deep Wavelet Prediction for Image Super-Resolution

Tiantong Guo,

Hojjat Seyed Mousavi,

Tiep Huu Vu,

Vishal Monga

[pdf]

[bibtex]

@InProceedings{Guo_2017_CVPR_Workshops,
author = {Guo, Tiantong and Seyed Mousavi, Hojjat and Huu Vu, Tiep and Monga, Vishal},
title = {Deep Wavelet Prediction for Image Super-Resolution},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}

NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results

Radu Timofte,

Eirikur Agustsson,

Luc Van Gool,

Ming-Hsuan Yang,

Lei Zhang

[pdf]

[bibtex]

@InProceedings{Timofte_2017_CVPR_Workshops,
author = {Timofte, Radu and Agustsson, Eirikur and Van Gool, Luc and Yang, Ming-Hsuan and Zhang, Lei},
title = {NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}

NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study

Eirikur Agustsson,

Radu Timofte

[pdf]

[bibtex]

@InProceedings{Agustsson_2017_CVPR_Workshops,
author = {Agustsson, Eirikur and Timofte, Radu},
title = {NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}

Enhanced Deep Residual Networks for Single Image Super-Resolution

Bee Lim,

Sanghyun Son,

Heewon Kim,

Seungjun Nah,

Kyoung Mu Lee

[pdf] [arXiv]

[bibtex]

@InProceedings{Lim_2017_CVPR_Workshops,
author = {Lim, Bee and Son, Sanghyun and Kim, Heewon and Nah, Seungjun and Mu Lee, Kyoung},
title = {Enhanced Deep Residual Networks for Single Image Super-Resolution},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}

Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification

Woong Bae,

Jaejun Yoo,

Jong Chul Ye

[pdf] [arXiv]

[bibtex]

@InProceedings{Bae_2017_CVPR_Workshops,
author = {Bae, Woong and Yoo, Jaejun and Chul Ye, Jong},
title = {Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}

A Deep Convolutional Neural Network With Selection Units for Super-Resolution

Jae-Seok Choi,

Munchurl Kim

[pdf]

[bibtex]

@InProceedings{Choi_2017_CVPR_Workshops,
author = {Choi, Jae-Seok and Kim, Munchurl},
title = {A Deep Convolutional Neural Network With Selection Units for Super-Resolution},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}

Balanced Two-Stage Residual Networks for Image Super-Resolution

Yuchen Fan,

Honghui Shi,

Jiahui Yu,

Ding Liu,

Wei Han,

Haichao Yu,

Zhangyang Wang,

Xinchao Wang,

Thomas S. Huang

[pdf]

[bibtex]

@InProceedings{Fan_2017_CVPR_Workshops,
author = {Fan, Yuchen and Shi, Honghui and Yu, Jiahui and Liu, Ding and Han, Wei and Yu, Haichao and Wang, Zhangyang and Wang, Xinchao and Huang, Thomas S.},
title = {Balanced Two-Stage Residual Networks for Image Super-Resolution},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}