ECCV 2022 - Wednesday

Let's talk about future projects … maybe one word about things that you have not done yet. I think a lot of the stuff that we're looking at involves how we learn more efficiently. So, in 3D, we don't really have anywhere near as much data as you have with images or with text, which means that you do have to think about a more efficient learning paradigm and how we can learn with fewer labels or no labels. Or create the data? Or create the data! That is always an option to jumpstart a new area. It's obviously not a tractable solution to create a new data set every time you have a new problem. Your message for the community? I think this community is pretty awesome to be in right now. So many things are changing, and that's really exciting! Lots of new ideas and new tools. Do you want to give one example of something that’s impressing you at this moment? The work that people have done leveraging diffusion models in order to provide supervision for 3D is pretty cool. So, for instance, DreamFusion, I think it’s called, actually showed that you can get some notion of 3D structures out of image-based models. I don't think it will solve everything, but I think that it was pretty cool. More than 100 inspiring interviews with successful Women in Computer Vision! 20 Women in Computer Vision