Computer Vision News - July 2022

BEST OF CVPR 21 Kakani Katija networks of taxonomists, enthusiasts, programmers, and ecologists to try and help work on this problem to create a global network for ocean life discovery. That’s what we’re trying to do now. That’s the big goal. And you’ll achieve itwith the group effort? Only with the group effort! What would you have done if you didn’t become a scientist? That’s hard because I feel like science is in almost everything, like architecture. Can you imagine doing anything else? I guess there’s science everywhere.  I’m not a scientist! I work in marketing. I barely know the three laws of Newton… That’s an interesting point. What would I do? I actually love journalism. That’s my favorite! Read more than 100 interviews with Women in Computer Vision! attain that goal. Then being able to apply that to professional things or to personal things and continuing that process later on in life, I think, has really served me well. How different would you be as a scientist if you had stayed on one path? That’s a tough one. I don’t know. But I think the path that I have been on is richer for all of those interactions and experiences. Do you work for the community? I work for the community. A couple of things. Obviously, I’m heavily involved with mentoring young and new, particularly diverse students, either in ocean sciences or engineering. More recently, through this FathomNet project, what we’re trying to do is create mechanisms for enthusiasts so people who are not classically trained in biology and marine biology can actually contribute to the data analysis pipelines, the science that we’re trying to conduct in the deep ocean. We’re building community “Make decisions about opportunities that lead to more opportunities…” TED/Marla Aufmuth