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    <title>3D Vision on The AI Talks</title>
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    <description>Recent content in 3D Vision on The AI Talks</description>
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      <title>3D World Model for Robotics</title>
      <link>http://theaitalks.org/talks/2026/0327/</link>
      <pubDate>Fri, 27 Mar 2026 00:00:00 +0000</pubDate>
      
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      <description>Speaker Wenlong Huang is a PhD candidate in Computer Science at Stanford University, advised by Professor Fei-Fei Li. He received his B.A. in Computer Science from UC Berkeley, where he was advised by Professor Deepak Pathak, Dr. Igor Mordatch, and Professor Pieter Abbeel. He studies the intersection between robotic manipulation, foundation models, and 3D computer vision. His works have won the Outstanding Paper Award in Robot Learning at ICRA 2023, the Best Paper Award at the CoRL 2024 LEAP Workshop, and the Best Paper Finalist at ICRA 2025.</description>
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      <title>SAM 3D: Powerful 3D Reconstruction for Physical World Images</title>
      <link>http://theaitalks.org/talks/2026/0203/</link>
      <pubDate>Tue, 03 Feb 2026 00:00:00 +0000</pubDate>
      
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      <description>Speaker 1: Weiyao Wang Weiyao Wang is a Research Engineer at Meta MSL dedicated to giving AI a 3D reasoning of the physical world. An alumnus of Duke University, Weiyao has authored numerous high-impact papers at CVPR, ICCV, and NeurIPS, focusing on 3D and multi-modal. He is a core contributor on SAM 3D, a generative framework that breaks the &amp;ldquo;data barrier&amp;rdquo; for 3D object reconstruction.
Abstract 1: SAM 3D: 3Dfy Anything in Images The Segment Anything Model (SAM) revolutionized 2D computer vision by providing a foundation for universal image segmentation.</description>
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