CSVideoNet: A Real-Time End-to-End Learning Framework for High-Frame-Rate Video Compressive Sensing

WACV 2018 pp. 1680-1688

doi:10.1109/WACV.2018.00187 /wacv/2018/xu2018wacv-csvideonet/

Cite

Text

Xu and Ren. "CSVideoNet: A Real-Time End-to-End Learning Framework for High-Frame-Rate Video Compressive Sensing." IEEE/CVF Winter Conference on Applications of Computer Vision, 2018. doi:10.1109/WACV.2018.00187

Markdown

[Xu and Ren. "CSVideoNet: A Real-Time End-to-End Learning Framework for High-Frame-Rate Video Compressive Sensing." IEEE/CVF Winter Conference on Applications of Computer Vision, 2018.](https://mlanthology.org/wacv/2018/xu2018wacv-csvideonet/) doi:10.1109/WACV.2018.00187

BibTeX

@inproceedings{xu2018wacv-csvideonet,
  title     = {{CSVideoNet: A Real-Time End-to-End Learning Framework for High-Frame-Rate Video Compressive Sensing}},
  author    = {Xu, Kai and Ren, Fengbo},
  booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision},
  year      = {2018},
  pages     = {1680-1688},
  doi       = {10.1109/WACV.2018.00187},
  url       = {https://mlanthology.org/wacv/2018/xu2018wacv-csvideonet/}
}