We address the problem of fitting a parametric human body model (SMPL) t...
Synthesis of ergodic, stationary visual patterns is widely applicable in...
High-fidelity face digitization solutions often combine multi-view stere...
Features that are equivariant to a larger group of symmetries have been ...
3D reconstruction from a single RGB image is a challenging problem in
co...
Recent advances in 3D deep learning have shown that it is possible to tr...
Rendering bridges the gap between 2D vision and 3D scenes by simulating ...
Rendering is the process of generating 2D images from 3D assets, simulat...
Ranking is a fundamental and widely studied problem in scenarios such as...
Tasks such as search and recommendation have become increas- ingly impor...
This paper studies the problem of automatically extracting a short title...
Deep neural networks are increasingly used on mobile devices, where
comp...
In the 'Big Data' era, many real-world applications like search involve ...