Reference-based Variational Autoencoders

no code implementations • ICLR Workshop LLD 2019 • Adrià Ruiz, Oriol Martinez, Xavier Binefa, Jakob Verbeek

Given a pool of unlabelled images, the goal is to learn a representation where a set of target factors are disentangled from others.

Attribute Conditional Image Generation

Learning Disentangled Representations with Reference-Based Variational Autoencoders

no code implementations • 24 Jan 2019 • Adria Ruiz, Oriol Martinez, Xavier Binefa, Jakob Verbeek

Given a pool of unlabeled images, the goal is to learn a representation where a set of target factors are disentangled from others.

Attribute Conditional Image Generation

Towards Estimating the Upper Bound of Visual-Speech Recognition: The Visual Lip-Reading Feasibility Database

no code implementations • 26 Apr 2017 • Adriana Fernandez-Lopez, Oriol Martinez, Federico M. Sukno

On one hand, researchers have reported that the mapping between phonemes and visemes (visual units) is one-to-many because there are phonemes which are visually similar and indistinguishable between them.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3