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Davi Frossard

Davi is a Research Scientist at Uber ATG R&D, developing cutting-edge computer vision technology for self-driving vehicles. Concurrently, he is a PhD student at the University of Toronto doing research on computer vision under the supervision of Prof. Raquel Urtasun. Davi’s research interests lie in the intersection of classic computational geometry, vision, and machine learning. Previously, he did his master's at the University of Toronto (also with Prof. Urtasun) with the thesis on extracting visual vehicle attributes from a self-driving platform. He earned his bachelor's degree from the Federal University of Espírito Santo (UFES) in computer engineering, writing his thesis on end-to-end learning of multiple object tracking.

Recent publications

DeepSignals: Predicting Intent of Drivers Through Visual Signals

Davi Frossard, Eric Kee, Raquel Urtasun (ICRA 2019)

End-to-End Learning of Multi-Sensor 3D Tracking by Detection

Davi Frossard, Raquel Urtasun (ICRA 2018)