67 citations · 73 across the 3 of their papers we have counts for
5 papers
Long-Lived Accurate Keypoints in Event Streams
Philippe Chiberre, Etienne Perot, Amos Sironi +1
We present a novel end-to-end approach to keypoint detection and tracking in an event stream that provides better precision and much longer keypoint tracks than previous methods. T…
Learning to Detect Objects with a 1 Megapixel Event Camera
Etienne Perot, Pierre de Tournemire, Davide Nitti +2
Event cameras encode visual information with high temporal precision, low data-rate, and high-dynamic range. Thanks to these characteristics, event cameras are particularly suited…
A Large Scale Event-based Detection Dataset for Automotive
Pierre de Tournemire, Davide Nitti, Etienne Perot +2
We introduce the first very large detection dataset for event cameras. The dataset is composed of more than 39 hours of automotive recordings acquired with a 304x240 ATIS sensor. I…
Speed Invariant Time Surface for Learning to Detect Corner Points with Event-Based Cameras
Jacques Manderscheid, Amos Sironi, Nicolas Bourdis +2
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, po…
HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object Classification
Amos Sironi, Manuele Brambilla, Nicolas Bourdis +2
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 hi…