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...
Recent Posts
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...
Blog Launch
The Autonomous Vision Group at the Max Planck Institute for Intelligent System and the University of Tübingen is excited to launch our new research blog whic...