Person
Amos Sironi
This person is no longer with EPFL
Related publications (6)
BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets
Pascal Fua, Sean Lewis Hill, Jiancheng Yang, Xiang Li, Amos Sironi, Jian Zhou, Jie Zhou, Siqi Liu
BigNeuron is an open community bench-testing platform with the goal of setting open standards for accurate and fast automatic neuron tracing. We gathered a diverse set of image volumes across several species that is representative of the data obtained in m ...
NATURE PORTFOLIO2023Multiscale Centerline Extraction Based on Regression and Projection onto the Set of Elongated Structures
Automatically extracting linear structures from images is a fundamental low-level vision problem with numerous applications in different domains. Centerline detection and radial estimation are the first crucial steps in most Computer Vision pipelines aimin ...
EPFL2016Multiscale Centerline Detection
Pascal Fua, Engin Türetken, Vincent Lepetit, Amos Sironi
Finding the centerline and estimating the radius of linear structures is a critical first step in many applications, ranging from road delineation in 2D aerial images to modeling blood vessels, lung bronchi, and dendritic arbors in 3D biomedical image stac ...
Institute of Electrical and Electronics Engineers2016Learning Separable Filters
Pascal Fua, Vincent Lepetit, Bugra Tekin, Roberto Rigamonti, Amos Sironi
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. Unfortunately, these filters are usually both numerous and non-separable, mak ...
Ieee Computer Soc2015Projection onto the Manifold of Elongated Structures for Accurate Extraction
Pascal Fua, Vincent Lepetit, Amos Sironi
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. However, these methods essentially classify i ...
2015Multiscale Centerline Detection by Learning a Scale-Space Distance Transform
Pascal Fua, Vincent Lepetit, Amos Sironi
We propose a robust and accurate method to extract the centerlines and scale of tubular structures in 2D images and 3D volumes. Existing techniques rely either on filters designed to respond to ideal cylindrical structures, which lose accuracy when the lin ...
2014