Nicolas Bourdis — accepted AI-conference papers

2019

Speed Invariant Time Surface for Learning to Detect Corner Points With Event-Based Cameras

Jacques Manderscheid, Amos Sironi, Nicolas Bourdis, Davide Migliore, Vincent Lepetit

CVPR 2019poster

We propose a learning approach to corner detection for event-based cameras that is stable even under fast and abrupt motions. Event-based cameras offer high temporal resolution, power efficiency, and high dynamic range. However, the properties of event-based data are very different compar…

Cited by 124 PDF ↗Scholar ↗

2018

HATS: Histograms of Averaged Time Surfaces for Robust Event-Based Object Classification

Amos Sironi, Manuele Brambilla, Nicolas Bourdis, Xavier Lagorce, Ryad Benosman

CVPR 2018poster

Event-based cameras have recently drawn the attention of the Computer Vision community thanks to their advantages in terms of high temporal resolution, low power consumption and high dynamic range, compared to traditional frame-based cameras. These properties make event-based cameras an ideal choi…

Cited by 550 Source ↗PDF ↗Scholar ↗