Transductive Few-Shot learning has gained increased attention nowadays
c...
Few-shot learning aims at leveraging knowledge learned by one or more de...
Few-shot classification is a challenging problem due to the uncertainty
...
Few-shot classification is a challenging problem due to the uncertainty
...
In few-shot classification, the aim is to learn models able to discrimin...
This paper proposes a step toward obtaining general models of knowledge ...
We tackle the problem of finding good architectures for multimodal
class...
In the context of deep learning, this article presents an original deep
...
This paper presents a novel approach to the facial expression generation...
This paper proposes a novel multimodal fusion approach, aiming to produc...
This paper presents a light-weight and accurate deep neural model for
au...
This paper addresses the difficult problem of finding an optimal neural
...
Inspired by works from the psychology community, we first study the link...
This paper addresses the question of emotion classification. The task
co...