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04/04/2023
OrienterNet: Visual Localization in 2D Public Maps with Neural Matching
Humans can orient themselves in their 3D environments using simple 2D ma...
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07/19/2022
Theseus: A Library for Differentiable Nonlinear Optimization
We present Theseus, an efficient application-agnostic open source librar...
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06/04/2022
Nerfels: Renderable Neural Codes for Improved Camera Pose Estimation
This paper presents a framework that combines traditional keypoint-based...
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12/23/2021
NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning
In the light of recent analyses on privacy-concerning scene revelation f...
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08/23/2021
ODAM: Object Detection, Association, and Mapping using Posed RGB Video
Localizing objects and estimating their extent in 3D is an important ste...
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11/26/2019
SuperGlue: Learning Feature Matching with Graph Neural Networks
This paper introduces SuperGlue, a neural network that matches two sets ...
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12/08/2018
Deep ChArUco: Dark ChArUco Marker Pose Estimation
ChArUco boards are used for camera calibration, monocular pose estimatio...
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12/08/2018
Self-Improving Visual Odometry
We propose a self-supervised learning framework that uses unlabeled mono...
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12/20/2017
SuperPoint: Self-Supervised Interest Point Detection and Description
This paper presents a self-supervised framework for training interest po...
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07/24/2017
Toward Geometric Deep SLAM
We present a point tracking system powered by two deep convolutional neu...
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06/13/2016