Concepedia

Autoencoder-based Compression

Autoencoder-Based Compression is a neural network-based image compression method that utilizes an autoencoder architecture to learn compact latent representations of images through unsupervised training, distinguishing itself from traditional transform-based or predictive coding techniques by end-to-end optimization of both encoder and decoder components for data-driven compression efficiency.

146

Publications

11.1K

Citations

509

Authors

207

Institutions

Publications per year

2017–2026

132

Parents

Publications

146

Variational image compression with a scale hyperprior

Johannes Ballé, David Minnen, Saurabh Singh et al. · arXiv (Cornell University) · 2018 · 1.1K citations · Full text

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End-to-end Optimized Image Compression

Johannes Ballé, Valero Laparra, Eero P. Simoncelli · arXiv (Cornell University) · 2016 · 1K citations · Full text

, , +16

Variational image compression with a scale hyperprior

David Minnen, Saurabh Singh, Sung Jin Hwang et al. · arXiv (Cornell University) · 2018 · 861 citations · Full text

, , +16

DVC: An End-To-End Deep Video Compression Framework

Guo Lu, Wanli Ouyang, Dong Xu et al. · 2019 · 703 citations

, , +16

Joint Autoregressive and Hierarchical Priors for Learned Image\n Compression

David Minnen, Johannes Ballé, George Toderici · arXiv (Cornell University) · 2018 · 594 citations · Full text

, , +16

1–5 of 146

Authors

509

  1. DM
    David Minnen

    Google (United States), United States

    6 publications · 3K citations

    6

    h-index

  2. GT
    George Toderici

    Google (United States), United States

    5 publications · 1.1K citations

    5

    h-index

  3. SJ
    Sung Jin Hwang

    University of Nevada, Reno, United States

    4 publications · 2.1K citations

    4

    h-index

  4. JB
    Johannes Ballé

    Google (United States), United States

    4 publications · 3K citations

    4

    h-index

  5. TF
    Tim Fingscheidt

    Technische Universität Braunschweig, Germany

    3 publications · 56 citations

    3

    h-index

1–5 of 509

Institutions

207

  1. Google (United States)

    Mountain View, United States

    7 h-index

    25 publications

    8.4K citations

  2. Nanjing University of Aeronautics and Astronautics

    Nanjing, China

    4 h-index

    9 publications

    269 citations

  3. Chinese Academy of Sciences

    Beijing, China

    4 h-index

    5 publications

    99 citations

  4. Shanghai Jiao Tong University

    Shanghai, China

    4 h-index

    10 publications

    3K citations

  5. University of Science and Technology of China

    Hefei, China

    4 h-index

    11 publications

    1.5K citations

  6. École Polytechnique Fédérale de Lausanne

    Lausanne, Switzerland

    4 h-index

    13 publications

    335 citations

  7. Waseda University

    Tokyo, Japan

    4 h-index

    11 publications

    1.5K citations

  8. Peking University

    Beijing, China

    4 h-index

    18 publications

    576 citations

1–8 of 207

Venues

  1. arXiv (Cornell University)

    Repository · 20 publications · 4.8K citations

    17

    h-index

  2. 3

    h-index

  3. 2017 IEEE International Ultrasonics Symposium (IUS)

    Conference · 2 publications · 68 citations

    2

    h-index

  4. Computer Vision and Pattern Recognition

    Conference · 2 publications · 96 citations

    2

    h-index

  5. 2

    h-index

1–5