In reinforcement learning for visual navigation, it is common to develop...
We present the Habitat-Matterport 3D (HM3D) dataset. HM3D is a large-sca...
We introduce environment predictive coding, a self-supervised approach t...
State-of-the-art navigation methods leverage a spatial memory to general...
Embodied computer vision considers perception for robots in general,
uns...
Standard computer vision systems assume access to intelligently captured...
We consider an active visual exploration scenario, where an agent must
i...
Traditional point tracking algorithms such as the KLT use local 2D
infor...
We study the problem of answering questions about images in the harder
s...