Computer Vision News - May 2023

24 Women in Computer Vision until a year ago. So in some ways, there have been challenges in being an effective researcher here. I haven't had the sort of support systems or research programs that my peers necessarily have had. What I have had is support towork on the problems that I think are important. I think it's important actually in the field for people to realize not every university is your top, such as Stanford, CMU, and ETH Zurich. We don't all have hundreds and hundreds of PhD students, and we're still doing really good and impactful work at these universities. So I sometimes struggle with this. I look at my peers, and I'm like, oh, I wish I could have ten CVPR papers a year! That's not the reality of where I'm at. But I get to work on work that I think is really important, and my university supports me to do that. That's something that's really special. And that's what you wanted, or it's a goal that came together with time? I've mentioned I have two kids. I have a six-year-old, and I have a one-year-old. I also have my entire family in St. Louis. So I live in the house behind my parents. We bought the house behind my parents. I have two brothers that also live in St. career so far, it has been very driven by happenstance and sort of coming across the right thing at the right time. So I think I have general ideas of things that I care to continueworkingon,whichis thinkingabout how computer vision can be used to help people that need help. I'm really interested in that very broadly. But you're right that working to combat child sexual abuse by recognizing hotels is one very specific thing. So I think my plan for the future is generally to keep thinking about how I can take the things I've already done and keep doing a little bit of good in the world. Here in St. Louis, there is a real opportunity to focus on the plant science side, and I have some really amazing collaborators here. One of the things I'm really interested in there is how we can use low-cost sensors to build better models of fields. This ties into thinking about the variety of types of people in the world and the technology that they have access to. If we think about large-scale production farming from big companies, they have the budget to have crazy technology out in their field. St. Louis University is an interesting place for me. We didn't have a PhD program