Computer Vision News 10 Women in Computer Vision a high-level explanation. A pixelbased explanation but in a very natural way. Combinations of pixels showing how important they are for a certain decision. That is a very recent success. I’m very happy for you that your strongest eureka moment is something very recent! [Gitta laughs] You are a modern researcher in a centuries-long chain. Of the scientists that preceded you, which one you admire the most and why? Maybe I can mention two. One is Ingrid Daubechies – she introduced wavelets. Before, I said I worked on imaging sciences and applied harmonic analysis was one of my main areas, so Fourier analysis, and then wavelets, and she developed this. Compactly supported wavelets is a beautiful mathematical theory. She also got hired at Princeton for that, and I admire her greatly. Another one I admire a lot is David Donoho, who introduced compressed sensing. That is a technique with which you can acquire data in a very compressed form. You have also beautiful mathematical theory. I think what he usually does is he solves concrete problems, but at the same time, develops a deep mathematical theory for those like, for instance, compressed sensing. These are two people I would like to mention. I also had the honor to be a postdoc with them for some time, so this was very much a great experience. Am I right that the most important search in your professional life is to explain things and to understand how they work? That’s very correct, yeah. I would like to understand things in their
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