In this paper, we focus on the problem of rendering novel views from a N...
We introduce a novel framework for training deep stereo networks effortl...
In this paper, we propose the first-ever real benchmark thought for
eval...
We present Eyecandies, a novel synthetic dataset for unsupervised anomal...
In this paper we investigate how to effectively deploy deep learning in
...
Availability of a few, large-size, annotated datasets, like ImageNet, Pa...
In this paper, we propose Augmented Reality Semi-automatic labeling (ARS...
While robotic manipulation of rigid objects is quite straightforward, co...