Cinjon Resnick was formerly from Google Brain and now is doing his PhD at NYU. We talk about why he believes scene understanding is critical to out of distribution generalization, and how his theses have evolved since he started his PhD.

Some topics we over:

• How Cinjon started his research by trying to grow a baby through language and games, before running into a wall with this approach
• How spending time at circuses 🎪 and with gymnasts 🤸🏽‍♂️ re-invigorated his research, and convinced him to focus on video, motion, and activity recognition
• Why MetaSIM and MetaSIM II are underrated papers
• Two research ideas Cinjon would like to see others work on