Search Results for author: Amos Sironi

Found 8 papers, 2 papers with code

Long-Lived Accurate Keypoints in Event Streams

no code implementations21 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.

Keypoint Detection

Learning to Detect Objects with a 1 Megapixel Event Camera

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.

Event-based vision object-detection +1

Projection Onto the Manifold of Elongated Structures for Accurate Extraction

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.

Multiscale Centerline Detection by Learning a Scale-Space Distance Transform

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.

Learning Separable Filters

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.

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