Workshop and Challenge on Learned Image Compression
An Autoencoder-based Learned Image Compressor: Description of Challenge Proposal by NCTU-
[pdf]
[arXiv]
[bibtex]@InProceedings{Alexandre_2018_CVPR_Workshops,
author = {Alexandre, David and Chang, Chih-Peng and Peng, Wen-Hsiao and Hang, Hsueh-Ming},
title = {An Autoencoder-based Learned Image Compressor: Description of Challenge Proposal by NCTU},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
An Implementation of Picture Compression with A CNN-based Auto-encoder-
[pdf]
[bibtex]@InProceedings{Li_2018_CVPR_Workshops,
author = {Li, Ming and Hu, Jianhua and Xia, Changsheng and Zhang, Yundong},
title = {An Implementation of Picture Compression with A CNN-based Auto-encoder},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Autoencoders with Variable Sized Latent Vector for Image Compression-
[pdf]
[bibtex]@InProceedings{Ashok_2018_CVPR_Workshops,
author = {Karkada Ashok, Alekh and Palani, Nagaraju},
title = {Autoencoders with Variable Sized Latent Vector for Image Compression},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Block-optimized Variable Bit Rate Neural Image Compression-
[pdf]
[arXiv]
[bibtex]@InProceedings{Aytekin_2018_CVPR_Workshops,
author = {Aytekin, Caglar and Ni, Xingyang and Cricri, Francesco and Lainema, Jani and Aksu, Emre and Hannuksela, Miska},
title = {Block-optimized Variable Bit Rate Neural Image Compression},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
BlockCNN: A Deep Network for Artifact Removal and Image Compression-
[pdf]
[arXiv]
[bibtex]@InProceedings{Maleki_2018_CVPR_Workshops,
author = {Maleki, Danial and Nadalian, Soheila and Mahdi Derakhshani, Mohammad and Amin Sadeghi, Mohammad},
title = {BlockCNN: A Deep Network for Artifact Removal and Image Compression},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
CNN-Optimized Image Compression with Uncertainty based Resource Allocation-
[pdf]
[bibtex]@InProceedings{Chen_2018_CVPR_Workshops,
author = {Chen, Zhenzhong and Li, Yiming and Liu, Feiyang and Liu, Zizheng and Pan, Xiang and Sun, Wanjie and Wang, Yingbin and Zhou, Yan and Zhu, Han and Liu, Shan},
title = {CNN-Optimized Image Compression with Uncertainty based Resource Allocation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Combine Traditional Compression Method With Convolutional Neural Networks-
[pdf]
[bibtex]@InProceedings{Hu_2018_CVPR_Workshops,
author = {Hu, Jianhua and Li, Ming and Xia, Changsheng and Zhang, Yundong},
title = {Combine Traditional Compression Method With Convolutional Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Compression artifact removal using multi-scale reshuffling convolutional network-
[pdf]
[bibtex]@InProceedings{Tang_2018_CVPR_Workshops,
author = {Tang, Zhimin and Luo, Linkai},
title = {Compression artifact removal using multi-scale reshuffling convolutional network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Decoder Side Image Quality Enhancement exploiting Inter-channel Correlation in a 3-stage CNN: Submission to CLIC 2018-
[pdf]
[bibtex]@InProceedings{Cui_2018_CVPR_Workshops,
author = {Cui, Kai and Steinbach, Eckehard},
title = {Decoder Side Image Quality Enhancement exploiting Inter-channel Correlation in a 3-stage CNN: Submission to CLIC 2018},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Deep Image Compression via End-to-End Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2018_CVPR_Workshops,
author = {Liu, Haojie and Chen, Tong and Shen, Qiu and Yue, Tao and Ma, Zhan},
title = {Deep Image Compression via End-to-End Learning},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
DeepVQ: A Deep Network Architecture for Vector Quantization-
[pdf]
[bibtex]@InProceedings{Tan_2018_CVPR_Workshops,
author = {Le Tan, Dang-Khoa and Le, Huu and Hoang, Tuan and Do, Thanh-Toan and Cheung, Ngai-Man},
title = {DeepVQ: A Deep Network Architecture for Vector Quantization},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Deformation Aware Image Compression-
[pdf]
[arXiv]
[bibtex]@InProceedings{Shaham_2018_CVPR_Workshops,
author = {Rott Shaham, Tamar and Michaeli, Tomer},
title = {Deformation Aware Image Compression},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Extreme Learned Image Compression with GANs-
[pdf]
[bibtex]@InProceedings{Agustsson_2018_CVPR_Workshops,
author = {Agustsson, Eirikur and Tschannen, Michael and Mentzer, Fabian and Timofte, Radu and Van Gool, Luc},
title = {Extreme Learned Image Compression with GANs},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Fully Convolutional Model for Variable Bit Length and Lossy High Density Compression of Mammograms-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kar_2018_CVPR_Workshops,
author = {Kar, Aupendu and Phani Krishna Karri, Sri and Ghosh, Nirmalya and Sethuraman, Ramanathan and Sheet, Debdoot},
title = {Fully Convolutional Model for Variable Bit Length and Lossy High Density Compression of Mammograms},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Image compression with xvc-
[pdf]
[bibtex]@InProceedings{Samuelsson_2018_CVPR_Workshops,
author = {Samuelsson, Jonatan and Hermansson, Per},
title = {Image compression with xvc},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Joint denoising and decompression using CNN regularization-
[pdf]
[bibtex]@InProceedings{Gonzalez_2018_CVPR_Workshops,
author = {Gonzalez, Mario and Preciozzi, Javier and Muse, Pablo and Almansa, Andres},
title = {Joint denoising and decompression using CNN regularization},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Learned Compression Artifact Removal by Deep Residual Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kirmemis_2018_CVPR_Workshops,
author = {Kirmemis, Ogun and Bakar, Gonca and Murat Tekalp, A.},
title = {Learned Compression Artifact Removal by Deep Residual Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Learning Compressible 360deg Video Isomers-
[pdf]
[bibtex]@InProceedings{Su_2018_CVPR_Workshops,
author = {Su, Yu-Chuan and Grauman, Kristen},
title = {Learning Compressible 360deg Video Isomers},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Perceptually optimized low bit-rate image encoding-
[pdf]
[bibtex]@InProceedings{Ben-David_2018_CVPR_Workshops,
author = {Ben-David, Eli and Carmel, Sharon and Filippov, Boris and Gill, Dror and Martemyanov, Alexey and Shoham, Tamar and Terterov, Nikolay and Tiktov, Pavel and Vaughan, Tom and Zheludkov, Alexander},
title = {Perceptually optimized low bit-rate image encoding},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Performance Comparison of Convolutional AutoEncoders, Generative Adversarial Networks and Super-Resolution for Image Compression-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cheng_2018_CVPR_Workshops,
author = {Cheng, Zhengxue and Sun, Heming and Takeuchi, Masaru and Jiro Katto, and},
title = {Performance Comparison of Convolutional AutoEncoders, Generative Adversarial Networks and Super-Resolution for Image Compression},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Variational Autoencoder for Low Bit-rate Image Compression-
[pdf]
[bibtex]@InProceedings{Zhou_2018_CVPR_Workshops,
author = {Zhou, Lei and Cai, Chunlei and Gao, Yue and Su, Sanbao and Wu, Junmin},
title = {Variational Autoencoder for Low Bit-rate Image Compression},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Wide-activated Deep Residual Networks based Restoration for BPG-compressed Images-
[pdf]
[bibtex]@InProceedings{Fan_2018_CVPR_Workshops,
author = {Fan, Yuchen and Yu, Jiahui and Huang, Thomas S.},
title = {Wide-activated Deep Residual Networks based Restoration for BPG-compressed Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
YASO-
[pdf]
[bibtex]@InProceedings{Wei_2018_CVPR_Workshops,
author = {Wei, Dong and Yang, Mei},
title = {YASO},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}