45 citations · 45 across the 2 of their papers we have counts for
6 papers · 1 filter
ODAM: Object Detection, Association, and Mapping using Posed RGB Video
Kejie Li, Daniel DeTone, Steven Chen +6
Localizing objects and estimating their extent in 3D is an important step towards high-level 3D scene understanding, which has many applications in Augmented Reality and Robotics.…
SuperGlue: Learning Feature Matching with Graph Neural Networks
Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz +1
This paper introduces SuperGlue, a neural network that matches two sets of local features by jointly finding correspondences and rejecting non-matchable points. Assignments are est…
Self-Improving Visual Odometry
Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich
We propose a self-supervised learning framework that uses unlabeled monocular video sequences to generate large-scale supervision for training a Visual Odometry (VO) frontend, a ne…
Deep ChArUco: Dark ChArUco Marker Pose Estimation
Danying Hu, Daniel DeTone, Vikram Chauhan +2
ChArUco boards are used for camera calibration, monocular pose estimation, and pose verification in both robotics and augmented reality. Such fiducials are detectable via tradition…
Toward Geometric Deep SLAM
Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich
We present a point tracking system powered by two deep convolutional neural networks. The first network, MagicPoint, operates on single images and extracts salient 2D points. The e…
Deep Image Homography Estimation
Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich
We present a deep convolutional neural network for estimating the relative homography between a pair of images. Our feed-forward network has 10 layers, takes two stacked grayscale…