no code implementations • 21 Sep 2022 • Philippe Chiberre, Etienne Perot, Amos Sironi, Vincent Lepetit
Since this integration is required, we claim it is better to predict the keypoints' trajectories for the time period rather than single locations, as done in previous approaches.
no code implementations • NeurIPS 2020 • Etienne Perot, Pierre de Tournemire, Davide Nitti, Jonathan Masci, Amos Sironi
However, due to the novelty of the field, the performance of event-based systems on many vision tasks is still lower compared to conventional frame-based solutions.
1 code implementation • 23 Jan 2020 • Pierre de Tournemire, Davide Nitti, Etienne Perot, Davide Migliore, Amos Sironi
We introduce the first very large detection dataset for event cameras.
no code implementations • CVPR 2019 • Jacques Manderscheid, Amos Sironi, Nicolas Bourdis, Davide Migliore, Vincent Lepetit
We first introduce an efficient way to compute a time surface that is invariant to the speed of the objects.
1 code implementation • CVPR 2018 • Amos Sironi, Manuele Brambilla, Nicolas Bourdis, Xavier Lagorce, Ryad Benosman
Compared to previous approaches, we use local memory units to efficiently leverage past temporal information and build a robust event-based representation.
Ranked #10 on Robust classification on N-ImageNet
no code implementations • ICCV 2015 • Amos Sironi, Vincent Lepetit, Pascal Fua
Detection of elongated structures in 2D images and 3D image stacks is a critical prerequisite in many applications and Machine Learning-based approaches have recently been shown to deliver superior performance.
no code implementations • CVPR 2014 • Amos Sironi, Vincent Lepetit, Pascal Fua
We propose a robust and accurate method to extract the centerlines and scale of tubular structures in 2D images and 3D volumes.
no code implementations • CVPR 2013 • Roberto Rigamonti, Amos Sironi, Vincent Lepetit, Pascal Fua
Learning filters to produce sparse image representations in terms of overcomplete dictionaries has emerged as a powerful way to create image features for many different purposes.