Apr 9, 2019 · In this light, we propose a novel adversarial learning method that (i) facilitates the emergence of latent structure by semantically ...

In this article, a novel method for learning disentangled and generalizable representations of visual attributes has been presented. The intuition behind ...

A novel adversarial learning method that facilitates latent structure by disentangling sources of variation based on a novel cost function and encourages ...

We propose a method for learning generalizable and disentangled latent representations that can be utilized for tasks including intensity-preserving multi- ...

In this light, we propose a novel adversarial learning method that: 1) facilitates the emergence of latent structure by semantically disentangling sources of ...

Adversarial Learning of Disentangled and Generalizable Representations for Visual Attributes: Paper and Code. Recently, a multitude of methods for ...

Recently, a multitude of methods for image-to-image translation have demonstrated impressive results on problems such as multi-domain or multi-attribute ...

Adversarial Learning of Disentangled and Generalizable Representations of Visual Attributes. Conference Paper, 2021, Institute of Electrical and Electronics ...

Adversarial learning of disentangled and generalizable representations of visual attributes. J Oldfield, Y Panagakis, MA Nicolaou. IEEE Transactions on Neural ...

This article provides an in-depth and practical review of tensors and tensor methods in the context of representation learning and deep learning, ...