1 code implementation • NeurIPS 2023 • Zachary Teed, Lahav Lipson, Jia Deng
DPVO disproves this assumption, showing that it is possible to get the best accuracy and efficiency by exploiting the advantages of sparse patch-based matching over dense flow.
1 code implementation • 9 May 2022 • Zeyu Ma, Zachary Teed, Jia Deng
CER-MVS is significantly different from prior work in multiview stereo.
1 code implementation • CVPR 2022 • Lahav Lipson, Zachary Teed, Ankit Goyal, Jia Deng
We propose a new approach to 6D object pose estimation which consists of an end-to-end differentiable architecture that makes use of geometric knowledge.
1 code implementation • 15 Sep 2021 • Lahav Lipson, Zachary Teed, Jia Deng
We introduce RAFT-Stereo, a new deep architecture for rectified stereo based on the optical flow network RAFT.
Ranked #1 on Stereo Disparity Estimation on Middlebury 2014
1 code implementation • NeurIPS 2021 • Zachary Teed, Jia Deng
We introduce DROID-SLAM, a new deep learning based SLAM system.
1 code implementation • CVPR 2021 • Zachary Teed, Jia Deng
We address the problem of performing backpropagation for computation graphs involving 3D transformation groups SO(3), SE(3), and Sim(3).
1 code implementation • CVPR 2021 • Zachary Teed, Jia Deng
We address the problem of scene flow: given a pair of stereo or RGB-D video frames, estimate pixelwise 3D motion.
Ranked #2 on Scene Flow Estimation on Spring
12 code implementations • ECCV 2020 • Zachary Teed, Jia Deng
RAFT extracts per-pixel features, builds multi-scale 4D correlation volumes for all pairs of pixels, and iteratively updates a flow field through a recurrent unit that performs lookups on the correlation volumes.
Ranked #6 on Optical Flow Estimation on Spring
1 code implementation • ICLR 2020 • Zachary Teed, Jia Deng
We propose DeepV2D, an end-to-end deep learning architecture for predicting depth from video.