activity
20182022
most citedRAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching

18 citations · 26 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CV20221 cited

Multiview Stereo with Cascaded Epipolar RAFT

Zeyu Ma, Zachary Teed, Jia Deng

We address multiview stereo (MVS), an important 3D vision task that reconstructs a 3D model such as a dense point cloud from multiple calibrated images. We propose CER-MVS (Cascade…

cs.CV20221 cited

Coupled Iterative Refinement for 6D Multi-Object Pose Estimation

Lahav Lipson, Zachary Teed, Ankit Goyal +1

We address the task of 6D multi-object pose: given a set of known 3D objects and an RGB or RGB-D input image, we detect and estimate the 6D pose of each object. We propose a new ap…

cs.CV202118 cited

RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching

Lahav Lipson, Zachary Teed, Jia Deng

We introduce RAFT-Stereo, a new deep architecture for rectified stereo based on the optical flow network RAFT. We introduce multi-level convolutional GRUs, which more efficiently p…

cs.CV20211 cited

Tangent Space Backpropagation for 3D Transformation Groups

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). 3D transformation groups are widely used in…

cs.CV20205 cited

RAFT-3D: Scene Flow using Rigid-Motion Embeddings

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. We introduce RAFT-3D, a new deep architecture for scene flow. RAFT…

cs.CV2020

RAFT: Recurrent All-Pairs Field Transforms for Optical Flow

Zachary Teed, Jia Deng

We introduce Recurrent All-Pairs Field Transforms (RAFT), a new deep network architecture for optical flow. RAFT extracts per-pixel features, builds multi-scale 4D correlation volu…