652 results for "uber estimate" across all locations
Mwongozo wa safari wakati wa Mkesha wa Mwaka Mpya wa 2018
Here are a few ways that Uber can help you start the new year with a reliable ride.
2018–19 New Year’s Eve ride guide
Here are a few ways that Uber can help you start the new year with a reliable ride.
Towards Diverse and Natural Image Descriptions via a Conditional GAN
B. Dai, S. Fidler, R. Urtasun, D. Lin
In this paper we introduce the TorontoCity benchmark, which covers the full greater Toronto area (GTA) with 712.5 km² of land, 8439 km of road and around 400,000 buildings. Our benchmark provides different perspectives of the world captured from airplanes, drones and cars driving around the city. […] [PDF]
International Conference on Computer Vision (ICCV), 2017
Lost Relatives of the Gumbel Trick
M. Balog, N. Tripuraneni, Z. Ghahramani, A. Weller
The Gumbel trick is a method to sample from a discrete probability distribution, or to estimate its normalizing partition function. The method relies on repeatedly applying a random perturbation to the distribution in a particular way, each time solving for the most likely configuration. […] [PDF]
International Conference on Machine Learning (ICML), 2017
HDNET: Exploiting HD Maps for 3D Object Detection
B. Yang, M. Liang, R. Urtasun
In this paper we show that High-Definition (HD) maps provide strong priors that can boost the performance and robustness of modern 3D object detectors. Towards this goal, we design a single stage detector that extracts geometric and semantic features from the HD maps. […] [PDF]
Conference on Robot Learning (CORL), 2018
Discover Kochi
Whether you’re new to the city, still needing maps to find your way around, or an old-timer with a stock of stories about the good ol’ days in Kochi
Enter Your Destination
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Enter Your Destination
PIXOR: Real-time 3D Object Detection from Point Clouds
B. Yang, W. Luo, R. Urtasun
We address the problem of real-time 3D object detection from point clouds in the context of autonomous driving. […] [PDF]
Conference on Computer Vision and Pattern Recognition (CVPR), 2018