1 citations · 1 across the 2 of their papers we have counts for
4 papers
Neural Face Video Compression using Multiple Views
Anna Volokitin, Stefan Brugger, Ali Benlalah +3
Recent advances in deep generative models led to the development of neural face video compression codecs that use an order of magnitude less bandwidth than engineered codecs. These…
Gradient flow encoding with distance optimization adaptive step size
Kyriakos Flouris, Anna Volokitin, Gustav Bredell +1
The autoencoder model uses an encoder to map data samples to a lower dimensional latent space and then a decoder to map the latent space representations back to the data space. Imp…
Modelling the Distribution of 3D Brain MRI using a 2D Slice VAE
Anna Volokitin, Ertunc Erdil, Neerav Karani +4
Probabilistic modelling has been an essential tool in medical image analysis, especially for analyzing brain Magnetic Resonance Images (MRI). Recent deep learning techniques for es…
Do Deep Neural Networks Suffer from Crowding?
Anna Volokitin, Gemma Roig, Tomaso Poggio
Crowding is a visual effect suffered by humans, in which an object that can be recognized in isolation can no longer be recognized when other objects, called flankers, are placed c…