Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Alexandre Robicquet"'
Autor:
Katherine Chou, Jeffrey Dean, Volodymyr Kuleshov, Alexandre Robicquet, Sebastian Thrun, Mark A. DePristo, Greg S. Corrado, Bharath Ramsundar, Andre Esteva, Claire Cui
Publikováno v:
Nature medicine. 25(1)
Here we present deep-learning techniques for healthcare, centering our discussion on deep learning in computer vision, natural language processing, reinforcement learning, and generalized methods. We describe how these computational techniques can im
Autor:
Silvio Savarese, Alexandre Alahi, Vignesh Ramanathan, Kratarth Goel, Li Fei-Fei, Alexandre Robicquet
Publikováno v:
CVPR
Pedestrians follow different trajectories to avoid obstacles and accommodate fellow pedestrians. Any autonomous vehicle navigating such a scene should be able to foresee the future positions of pedestrians and accordingly adjust its path to avoid col
Publikováno v:
Computer Vision – ECCV 2016 ISBN: 9783319464831
ECCV (8)
ECCV (8)
Humans navigate crowded spaces such as a university campus by following common sense rules based on social etiquette. In this paper, we argue that in order to enable the design of new target tracking or trajectory forecasting methods that can take fu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6097cf4fdb117e05ddb889a5b7195b85
https://doi.org/10.1007/978-3-319-46484-8_33
https://doi.org/10.1007/978-3-319-46484-8_33
Publikováno v:
Advanced Information Systems Engineering ISBN: 9783642387081
ECML/PKDD (1)
ECML/PKDD (1)
In this paper, we consider the challenge of maximizing an unknown function f for which evaluations are noisy and are acquired with high cost. An iterative procedure uses the previous measures to actively select the next estimation of f which is predi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::575c0a1a96117ff3b7bd7f3bd18e8019
https://doi.org/10.1007/978-3-642-40988-2_15
https://doi.org/10.1007/978-3-642-40988-2_15
Autor:
Silvio Savarese, AmirAbbas Sadeghian, Kratarth Goel, Alexandre Alahi, Alexandre Robicquet, Vignesh Ramanathan, Li Fei-Fei
Publikováno v:
Group and Crowd Behavior for Computer Vision
Pedestrians follow different trajectories to avoid obstacles and accommodate fellow pedestrians. Any autonomous vehicle navigating such a scene should be able to foresee the future positions of pedestrians and accordingly adjust its path to avoid col
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a4c53a9b01c315fb872e961ff5c7c76
https://infoscience.epfl.ch/record/230257
https://infoscience.epfl.ch/record/230257