80 citations · 104 across the 17 of their papers we have counts for
3 papers · 1 filter
AVAE: Adversarial Variational Auto Encoder
Antoine Plumerault, Hervé Le Borgne, Céline Hudelot
Among the wide variety of image generative models, two models stand out: Variational Auto Encoders (VAE) and Generative Adversarial Networks (GAN). GANs can produce realistic image…
Webly Supervised Semantic Embeddings for Large Scale Zero-Shot Learning
Yannick Le Cacheux, Adrian Popescu, Hervé Le Borgne
Zero-shot learning (ZSL) makes object recognition in images possible in absence of visual training data for a part of the classes from a dataset. When the number of classes is larg…
Controlling generative models with continuous factors of variations
Antoine Plumerault, Hervé Le Borgne, Céline Hudelot
Recent deep generative models are able to provide photo-realistic images as well as visual or textual content embeddings useful to address various tasks of computer vision and natu…