We view variational autoencoders (VAE) as decoder-encoder pairs, which m...
The performance of deep neural networks for image recognition tasks such...
The importance of Variational Autoencoders reaches far beyond standalone...
Two of the most popular modelling paradigms in computer vision are
feed-...
We propose a novel label fusion technique as well as a crowdsourcing pro...
We analyse the potential of Gibbs Random Fields for shape prior modellin...