Occupancy Flow
An intelligent agent that can interact with the world has to be able to reason in 3D. In recent year, there has therefore been a lot of interest in learning-...
Recent Posts
Learning to Drive in Cities
We propose a novel self-driving technique which addreses urban scenarios and doesn’t rely on detailed maps. This new approach learns high-level representatio...
DeFuSR: Learning Non-volumetric Depth Fusion using Successive Reprojections
We propose to combine the prior work on multi-view geometry and triangulation with the strength of deep neural networks. To this end, we combine a learning-b...
Superquadrics Revisited
Recent advances in deep learning coupled with the abundance of large shape repositories gave rise to various methods that seek to learn the 3D model of an ob...
Occupancy Networks
In recent years, deep learning has led to many breakthroughs in computer vision. Many tasks such as object detection, semantic segmentation, optical flow est...