4 citations · 4 across the 2 of their papers we have counts for
2 papers
eess.IV2022
Learning sparse auto-encoders for green AI image coding
Cyprien Gille, Frédéric Guyard, Marc Antonini +1
Recently, convolutional auto-encoders (CAE) were introduced for image coding. They achieved performance improvements over the state-of-the-art JPEG2000 method. However, these perfo…
cs.LG2022★ 4 cited
Semi-supervised classification using a supervised autoencoder for biomedical applications
Cyprien Gille, Frederic Guyard, Michel Barlaud
In this paper we present a new approach to solve semi-supervised classification tasks for biomedical applications, involving a supervised autoencoder network. We create a network a…