142 citations · 264 across the 8 of their papers we have counts for
8 papers
New substellar candidates identified through deep learning in the F150 sample of the large-scale SHINE direct imaging survey
Carles Cantero Mitjans, Mariam Sabalbal, Olivier Absil +3
Context. The SPHERE High-contrast Imaging survey for Exoplanets (SHINE) represents one of the largest direct imaging campaigns, targeting over 400 young, nearby stars with the goal…
NA-SODINN: a deep learning algorithm for exoplanet image detection based on residual noise regimes
Carles Cantero, Olivier Absil, Carl-Henrik Dahlqvist +1
Supervised deep learning was recently introduced in high-contrast imaging (HCI) through the SODINN algorithm, a convolutional neural network designed for exoplanet detection in ang…
Exoplanet Imaging Data Challenge, phase II: Characterization of exoplanet signals in high-contrast images
F. Cantalloube, V. Christiaens, C. Cantero +10
Today, there exists a wide variety of algorithms dedicated to high-contrast imaging, especially for the detection and characterisation of exoplanet signals. These algorithms are ta…
Exoplanet Imaging Data Challenge: benchmarking the various image processing methods for exoplanet detection
F. Cantalloube, C. Gomez-Gonzalez, O. Absil +23
The Exoplanet Imaging Data Challenge is a community-wide effort meant to offer a platform for a fair and common comparison of image processing methods designed for exoplanet direct…
Gaia DR2 white dwarfs in the Hercules stream
Santiago Torres, Carles Cantero, María E. Camisassa +5
We analyzed the velocity space of the thin and thick-disk Gaia white dwarf population within 100 pc looking for signatures of the Hercules stellar stream. We aimed to identify thos…
Random Forest identification of the thin disk, thick disk and halo Gaia-DR2 white dwarf population
S. Torres, C. Cantero, A. Rebassa-Mansergas +3
Gaia-DR2 has provided an unprecedented number of white dwarf candidates of our Galaxy. In particular, it is estimated that Gaia-DR2 has observed nearly 400,000 of these objects and…