79 citations · 107 across the 5 of their papers we have counts for
5 papers
Compressed Map Priors for 3D Perception
Brady Zhou, Philipp Krähenbühl
Human drivers rarely travel where no person has gone before. After all, thousands of drivers use busy city roads every day, and only one can claim to be the first. The same holds f…
Cross-view Transformers for real-time Map-view Semantic Segmentation
Brady Zhou, Philipp Krähenbühl
We present cross-view transformers, an efficient attention-based model for map-view semantic segmentation from multiple cameras. Our architecture implicitly learns a mapping from i…
Domain Adaptation Through Task Distillation
Brady Zhou, Nimit Kalra, Philipp Krähenbühl
Deep networks devour millions of precisely annotated images to build their complex and powerful representations. Unfortunately, tasks like autonomous driving have virtually no real…
Learning by Cheating
Dian Chen, Brady Zhou, Vladlen Koltun +1
Vision-based urban driving is hard. The autonomous system needs to learn to perceive the world and act in it. We show that this challenging learning problem can be simplified by de…
Does computer vision matter for action?
Brady Zhou, Philipp Krähenbühl, Vladlen Koltun
Computer vision produces representations of scene content. Much computer vision research is predicated on the assumption that these intermediate representations are useful for acti…