In recent years, Transformer-based auto-attention mechanisms have been
s...
Machine learning tools are becoming increasingly powerful and widely use...
This paper proposes a step toward obtaining general models of knowledge ...
In the context of deep learning, this article presents an original deep
...
This paper addresses the task of relative camera pose estimation from ra...
This paper proposes a novel multimodal fusion approach, aiming to produc...
This paper presents a light-weight and accurate deep neural model for
au...
Inspired by works from the psychology community, we first study the link...
Multimodal patch matching addresses the problem of finding the
correspon...