In this paper, we teach machines to understand visuals and natural langu...
We study the problem of efficient semantic segmentation for large-scale ...
Deep Reinforcement Learning (DRL) has been applied successfully to many
...
Due to the sparse rewards and high degree of environment variation,
rein...
Humans are able to make rich predictions about the future dynamics of
ph...
Modelling the physical properties of everyday objects is a fundamental
p...