Davi Frossard
Davi Frossard
Verified email at cs.toronto.edu - Homepage
Title
Cited by
Cited by
Year
End-To-End Learning of Multi-Sensor 3D Tracking by Detection
D Frossard, R Urtasun
International Conference on Robotics and Automation (ICRA), 635-642, 2018
442018
VGG in TensorFlow
D Frossard
https://www.cs.toronto.edu/~frossard/post/vgg16/, 03-01, 2017
29*2017
AlexNet implementation+ weights in TensorFlow
M Guerzhoy, D Frossard
32016
DeepSignals: Predicting Intent of Drivers Through Visual Signals
D Frossard, E Kee, R Urtasun
International Conference on Robotics and Automation (ICRA), 9697-9702, 2019
22019
End-to-End Tracking of Objects
DEN Frossard, R Urtasun
US Patent App. 16/122,203, 2019
12019
System and Method for Determining Object Intention Through Visual Attributes
DEN Frossard, ER Kee, R Urtasun
US Patent App. 16/286,160, 2019
2019
An approach to dealing with missing values in heterogeneous data using k-nearest neighbors
DEN Frossard, IO Nunes, RA Krohling
arXiv preprint arXiv:1608.04037, 2016
2016
ERUS Team-Team Description Paper 2014
ADS Mota, AGC Pacheco, D Cardoso, DEN Frossard, F Machado, ...
Detection and transportation of objets through Autonomous Ground and Surface Vehicles.
ADS Mota, D Cardoso, DEN Frossard, F Machado, GGD Angelo, ...
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