You briefly mentioned delegation. How can you be brave enough to delegate to others and trust that they will do things right? If you don’t, you’ll kill yourself. We have only 24 hours in one day. In general, I believe that I make a lot of mistakes, so I accept my mistakes and I accept the mistakes of others. Who taught you this? I don’t know. [laughs] I have no one to cite, but the idea is that we must believe that others can do better than us. I don’t know if it’s just in Italy, but in general, people say that professors don’t want to have students better than themselves, so they try to find people more stupid and more stupid and more stupid until one person arrives who is not so stupid, but you don’t understand is not stupid, and will become better than you. I don’t want to do that. I try to find people that I don’t know if they are fantastic or stupid, but I would like them to try to be better than me. As a professor, my role is to make them as best as possible. For this reason, I have to trust in them. I have to trust the new PhD students and the full professors who are working with me in the same manner. You have so many strings to your bow. Where do you get all your energy from? Because I like my job, this is the reason. Is that the main secret? Yeah, I think so. If you like your job and you don’t want to stop learning, these are the two secrets. What do you like about your job specifically? I prefer to have new ideas. This is really very difficult. I’ll tell you another thing that my students say: in general, when I arrive in a meeting, I start to tell a million different things. They know that among them, one idea is good! [she laughs] The others I don’t want to know. What I like in my job is to try to find the next step to reach and the new problem that is still open. In computer vision and AI, there are so many open problems. I’ve been working in tracking and human analysis for 20 years or more, and it’s still not a solved problem. 20 years ago, we weren’t able to find one person in an empty space or follow them, even if they were walking in a straight situation with a Kalman filter. Now, we can do very complex systems, like recognizing people in a crowd, tracking them, or recognizing 3D, even looking at only one image. There are many, many things that 20 years ago were completely unbelievable, but I’m sure there is still a lot of work to do on this topic and many others. Of all these ideas you have, do you prioritize yourself, or do you have someone who prioritizes for you? Women in Computer Vision 16 DAILY WACV Sunday
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