Based on the Manhattan World assumption, most existing indoor layout
est...
In this paper, we propose a language-universal adapter learning framewor...
For a monocular 360 image, depth estimation is a challenging because the...
Recently, horizontal representation-based panoramic semantic segmentatio...
Estimating the depth of omnidirectional images is more challenging than ...
Existing panoramic depth estimation methods based on convolutional neura...