143 citations · 219 across the 6 of their papers we have counts for
6 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…
Medical Image Reconstruction Using Kernel Based Methods
Amos Sironi
The image reconstruction problem consists in finding an approximation of a function f starting from its Radon transform Rf. This problem arises in the ambit of medical imaging when…