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Episode 11: Vincent Sitzmann, MIT, on neural scene representations for computer vision and more general AI
Manage episode 292953531 series 2906499
Content provided by Kanjun Qiu. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kanjun Qiu or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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.”
36 episodes
Share
Manage episode 292953531 series 2906499
Content provided by Kanjun Qiu. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kanjun Qiu or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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.”
36 episodes
All episodes
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continue reading
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