1441 results for "replacements" across all locations
For dad from you, Uber and the Rum Cake Factory
If you are a father or want to surprise yours, this year for Father’s Day Uber and the Rum Cake Factory have come together to make celebrating dad thi
Toronto—Your Big Break is Arriving Now with UberPITCH
Entrepreneurs, visionaries and self-starters–your big break is arriving now. On April 7, from 11am to 3pm, you have the chance to make your passion a reality. Request UberPITCH and we’ll bring you one of Canada’s top investors, ready to hear your big idea.
Navega las redes y la ciudad con Claro y Uber
Podés moverte de forma fácil y segura por San Salvador con la app de Uber. También podés moverte rápidamente por tus redes sociales con Claro.
Your car, your way in Surat
One-size doesn’t fit all. We get it. Which is why, we’ve got a host of ride options for you to choose from. You could go solo in an uberGO or uberX…
The best Auckland beaches to visit this summer
Planning a day at the beach? We have 5 tips for the perfect summer picnic.
The best Perth beaches to visit this summer
Planning a day at the beach? We have 5 tips for the perfect summer picnic.
Celebrate Ambala, flat fares are back again!
Celebrate Ambala, flat fares are back again!
Helping drivers stay alert behind the wheel
At Uber we are committed to the safety, not only of those who interact with our application, but of all the people who share public roads. Because driving for long periods of time can increase the risk of fatigue-related accidents, we included a feature in the app to help drivers have visibility into the hours they have been driving to help them stay safe on the road.
GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation
X. Qi, R. Liao, Z. Liu, R. Urtasun, J. Jia
In this paper, we propose Geometric Neural Network (GeoNet) to jointly predict depth and surface normal maps from a single image. Building on top of two-stream CNNs, our GeoNet incorporates geometric relation between depth and surface normal via the new depth-to-normal and normal-to-depth networks. […] [PDF]
Conference on Computer Vision and Pattern Recognition (CVPR), 2018
Sports Field Localization via Deep Structured Models
N. Homayounfar, S. Fidler, R. Urtasun
In this work, we propose a novel way of efficiently localizing a soccer field from a single broadcast image of the game. Related work in this area relies on manually annotating a few key frames and extending the localization to similar images, or installing fixed specialized cameras in the stadium from which the layout of the field can be obtained. […] [PDF]
Conference on Computer Vision and Pattern Recognition (CVPR), 2017