Component-graphs provide powerful and complex structures for multi-band image processing. We propose a multiband astronomical source detection framework with the component-graphs relying on a new set of component attributes. We propose two modules to differentiate nodes belong to distinct objects and to detect partial object nodes. Experiments demonstrate an improved capacity at detecting faint objects on a multi-band astronomical dataset
We present Star-Net, a multi-branch convolutional network architecture to deal with the multiple-sou...
This thesis presents new machine learning techniques for producing high energy astronomy survey cata...
International audiencePrecisely detecting solar Active Regions (AR) from multi-spectral images is a ...
Component-graphs provide powerful and complex structures for multi-band image processing. We propose...
Component-graphs provide powerful and complex structures for multi-band image processing. We propose...
International audienceIn the context of mathematical morphology, component-graphs are complex but po...
In the context of mathematical morphology, component-graphs are complex but powerful structures for ...
This work investigates object detection algorithms with application to astronomical images. We speci...
International audienceIn this paper, we investigate the possibilities offered by the extension of th...
We present a multi-scale, multi-wavelength source extraction algorithm called getsources. Although i...
International audienceIn recent papers, a new notion of component-graph was introduced. It extends t...
In this paper a new algorithm to compute the component tree is presented. As compared to the state o...
We present Star-Net, a multi-branch convolutional network architecture to deal with the multiple-sou...
This thesis presents new machine learning techniques for producing high energy astronomy survey cata...
International audiencePrecisely detecting solar Active Regions (AR) from multi-spectral images is a ...
Component-graphs provide powerful and complex structures for multi-band image processing. We propose...
Component-graphs provide powerful and complex structures for multi-band image processing. We propose...
International audienceIn the context of mathematical morphology, component-graphs are complex but po...
In the context of mathematical morphology, component-graphs are complex but powerful structures for ...
This work investigates object detection algorithms with application to astronomical images. We speci...
International audienceIn this paper, we investigate the possibilities offered by the extension of th...
We present a multi-scale, multi-wavelength source extraction algorithm called getsources. Although i...
International audienceIn recent papers, a new notion of component-graph was introduced. It extends t...
In this paper a new algorithm to compute the component tree is presented. As compared to the state o...
We present Star-Net, a multi-branch convolutional network architecture to deal with the multiple-sou...
This thesis presents new machine learning techniques for producing high energy astronomy survey cata...
International audiencePrecisely detecting solar Active Regions (AR) from multi-spectral images is a ...