652 results for "uber estimate" across all locations
LSQ++: lower running time and higher recall in multi-codebook quantization
J. Martinez, S. Zakhmi, H. Hoos, and J. Little
Multi-codebook quantization (MCQ) is the task of expressing a set of vectors as accurately as possible in terms of discrete entries in multiple bases. Work in MCQ is heavily focused on lowering quantization error, thereby improving distance estimation and recall on benchmarks of visual descriptors at a fixed memory budget. […] [PDF]
European Conference on Computer Vision (ECCV), 2018
Uber est là pour vous !
Que ce soit pour un trajet depuis l’aéroport, pour aller au bureau, ou pour rentrer de soirée, Uber vous accompagne quand vous en avez besoin !
Your ride to skiing the east
Something BIG just happened in Iowa City and Cedar Rapids
Schedule an Uber in Advance
Christmas Special fares on GO
#uberSANTA is bringing you special fares on GO and POOL for all your rides during the long weekend. Uber on! Merry Christmas from Team Uber
We arrived at the Croatian coast with a weekend of free rides!
DAGMapper: Learning to Map by Discovering Lane Topology
N. Homayounfar, W.-C. Ma*, J. Liang*, X. Wu, J. Fan, R. Urtasun
We map complex lane topologies in highways by formulating the problem as a deep directed graphical model. As an interesting result, we can train our model in I40 and generalize to unseen highways in SF. [PDF]
International Conference on Computer Vision (ICCV), 2019
Forecasting Interactive Dynamics of Pedestrians with Fictitious Play
W. Ma, D. Huang, N. Lee, K. Kitani
We develop predictive models of pedestrian dynamics by encoding the coupled nature of multi-pedestrian interaction using game theory, and deep learning-based visual analysis to estimate person-specific behavior parameters. Building predictive models for multi-pedestrian interactions however, is very challenging due to two reasons […] [PDF]
Conference on Computer Vision and Pattern Recognition (CVPR), 2017