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Cameron Smith Cameron Smith I've been working with Vincent Sitzmann's Scene Representation Group on self-supervised 3D representations in between undergrad and PhD, and next I'll start my PhD with Yue Wang's group at USC! Generally, I am interested in building AI with the right inductive biases to enable sample-efficient, self-supervised, and generalizable learning on tasks which involve self-simulation and planning. Currently, my emphasis is building self-supervised 3D representations as scaffolding to support more principled inductive biases. [Email] [Google Scholar] [Github] Publications FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent Cameron Smith * , David Charatan * , Ayush Tewari , Vincent Sitzmann arXiv [Project Page] FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow Cameron Smith , Yilun Du , Ayush...
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