Episode 11: Vincent Sitzmann, MIT, on neural scene representations for computer vision and more general AI
Generally Intelligent - A podcast by Kanjun Qiu
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Vincent Sitzmann (Google Scholar) (Website) is a postdoc at MIT. His work is on neural scene representations in computer vision. Ultimately, he wants to make representations that AI agents can use to solve the same visual tasks humans solve regularly, but that are currently impossible for AI. **Highlights from our conversation:** 👁 “Vision is about the question of building representations” 🧠 “We (humans) likely have a 3D inductive bias” 🤖 “All computer vision should be 3D computer vision. Our world is a 3d world.”