ICCV Daily 2021 - Friday

"My background in sketching helps me understanding diverse sketching techniques, workflows and what kind of tools there might be needed. A lot I learnt from Valentina Vikentievna Tokareva -- Honorable Member of the Russian Academy of Art". 22 DAILY ICCV Friday Show me your hands, please. I just want to make sure that you’re not creating a sketch of me while we are speaking! [ laughs ] But I do that a lot! That’s true. I had a look at your portfolio. I felt like Alice in Wonderland. It’s a fascinating world! It’s a very creative world! How did your experience in academia contribute to your understanding of this field? Did it help you improve? Academia taught me mostly how to do research, not necessarily just in sketching. It can be applied to anything. It’s independent of sketching. Doing research, I learned more about sketches as well. For example, I have been to the Delft University of Technology several times, where I spent a week communicating with designers and learning how people sketch and talking to them about which tasks they give to the students. Also, I learned the kind of applications that designers need and what would be helpful for them. Do you need a lot of computational algorithmic tools to do that? [ laughs ] Yes, of course! Can you tell a non-scientist why you need them? You need to understand what the tools are for and how to use them. Does your family understand what you actually do? Now it’s easier to explain what I do compared to what I used to do during my PhD. I managed to explain what I’m doing to my grandmother, and she understood. For my father, it’s not so difficult to understand. He has a background in math and computer science. Did your passion grow with time? My research evolves. The more I work on these topics, the more ideas I have on what I want to do. That is quite exciting. At the same time, some things are different from what I expected as a PhD student. Like anything! [ laughs ] Yes! You have been around. You told us about Delft, about Inria. You studied Women in Computer Vision