Zachary Teed

I worked as an autonomy engineer at Skydio from 2022 to 2024.

I graduated with a PhD in computer science from Princeton University in 2022. I was advised by Jia Deng and a member of the Princeton Vision and Learning Lab. My work focuses on combining multiview geometry with deep learning. Some of my favorite topics include optical flow and simultaneous localization and mapping (SLAM).

In 2022, I placed 2nd in the US Beer Mile National Championships and went on to compete in the World Championships.

zachteed[at]gmail[dot]com

Research

	DPVO: Deep Patch Visual Odometry *Zachary Teed,** Lahav Lipson*, and Jia Deng NeurIPS, 2023 paper / code
	DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras Zachary Teed and Jia Deng NeurIPS, 2021 paper / code
	RAFT3D: Scene Flow using Rigid Motion Embeddings Zachary Teed and Jia Deng CVPR, 2021 paper / code
	Tangent Space Backpropogation for 3D Transformation Groups Zachary Teed and Jia Deng CVPR, 2021 paper / code
	RAFT: Recurrent All-Pairs Field Transforms for Optical Flow Zachary Teed and Jia Deng ECCV 2020 Best Paper Award paper / code
	DeepV2D: Video to Depth with Differentiable Structure from Motion Zachary Teed and Jia Deng ICLR, 2020 paper / code
	A computationally efficient algorithm for fitting ion channel parameters Zachary Teed and Jonathan Silva MethodsX, 2016 code

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