Deep Probabilistic Video Compression
By Jun Han, Salvator Lombardo, Christopher Schroers, Stephan Mandt. 2018
24 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Yoshua Bengio
- Trevor Darrell
- Luc Van Gool
- J. Tomczak
- Ross B. Girshick
- Jitendra Malik
- Kristen Grauman
- Andrea Vedaldi
Citations in the corpus
- Learned Video Compression (2018, background): “To our knowledge, the only pre-existing end-to-end ML-based video compression approachs are [52, 8, 16].”
- Machine Learning in the Air (2019, unknown): “Indeed, autoencoders have been successfully applied to image [36], [37] and video [38] compression, which can be considered as communication over a finite-rate error-free channel.”
- Video Compression With Rate-Distortion Autoencoders (2019, methodology): “In [15] a stochastic variational compression method for video was presented.”