Daily CVPR - Monday

CVPR Daily: Can I ask you what you want to achieve? Maryam: In academia, especially in computer vision, so far in the history have worked mainly on optical images. But because of my civil engineering background, I have worked on radar images, sonar images, different modality of the images. We are now seeing a little bit of progress of the computer vision community coming toward that direction. So I would like to move computer vision toward this direction, understanding beyond visual spectrum. Now that we are seeing that even with things that humans perceive with their eyes, it is very difficult to do it automatically on images, but what I am trying to do is to be able to detect automatic things that the human cannot see. For example, in one of my projects I am trying to detect eye sickness, and for eye sickness, the human eyes can only see the surface. Radar can penetrate through eyes and detect sickness of eyes. But these are challenging, and the computer vision community also doesn’t have an understanding of what are the challenges. What I would like to achieve is to bridge between computer vision community and remote sensing community. Actually, my lab is computer vision and remote sensing, and I would like to make a bridge between these two. CVPR Daily: What are your chances of succeeding in doing that? What is a woman’s answer to this kind of question? Maryam: So in general, one of the challenges that women have is that men are very much confident in what they are saying. Maybe what they are saying is completely wrong, but for some reason they are super confident about what they are saying. But for women, actually I have seen in my students, that female students who are doing a better job, actually are not so confident. This is an issue about women. I don’t know why, but I have seen it. So for me, I would probably say that I have about 70-80% of chances to achieve this goal. 10 CVPR Daily: Monday Women in Computer Vision “ What I would like to achieve is to bridge between computer vision community and remote sensing community ”