The recent breakthroughs in natural language processing for model pretra...
In this paper, we leverage low-level compiler intermediate representatio...
Traditional approaches for learning 3D object categories have been
predo...
We tackle the problem of monocular 3D reconstruction of articulated obje...
We tackle the problem of learning the geometry of multiple categories of...
We present NeuroMorph, a new neural network architecture that takes as i...
Our goal is to learn a deep network that, given a small number of images...
To unlock video chat for hundreds of millions of people hindered by poor...
In this work, we focus on the task of learning and representing dense
co...