137 citations · 694 across the 38 of their papers we have counts for
4 papers · 1 filter
Discovering General-Purpose Active Learning Strategies
Ksenia Konyushkova, Raphael Sznitman, Pascal Fua
We propose a general-purpose approach to discovering active learning (AL) strategies from data. These strategies are transferable from one domain to another and can be used in conj…
Iterative multi-path tracking for video and volume segmentation with sparse point supervision
Laurent Lejeune, Jan Grossrieder, Raphael Sznitman
Recent machine learning strategies for segmentation tasks have shown great ability when trained on large pixel-wise annotated image datasets. It remains a major challenge however t…
Supervised Machine Learning for Analysing Spectra of Exoplanetary Atmospheres
Pablo Marquez-Neila, Chloe Fisher, Raphael Sznitman +1
The use of machine learning is becoming ubiquitous in astronomy, but remains rare in the study of the atmospheres of exoplanets. Given the spectrum of an exoplanetary atmosphere, a…
Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery
Sebastian Bodenstedt, Max Allan, Anthony Agustinos +17
Intraoperative segmentation and tracking of minimally invasive instruments is a prerequisite for computer- and robotic-assisted surgery. Since additional hardware like tracking sys…