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Zachary Teed
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
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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