Search Results for author: Daniel DeTone

Found 10 papers, 6 papers with code

Theseus: A Library for Differentiable Nonlinear Optimization

1 code implementation19 Jul 2022 Luis Pineda, Taosha Fan, Maurizio Monge, Shobha Venkataraman, Paloma Sodhi, Ricky T. Q. Chen, Joseph Ortiz, Daniel DeTone, Austin Wang, Stuart Anderson, Jing Dong, Brandon Amos, Mustafa Mukadam

We present Theseus, an efficient application-agnostic open source library for differentiable nonlinear least squares (DNLS) optimization built on PyTorch, providing a common framework for end-to-end structured learning in robotics and vision.

Nerfels: Renderable Neural Codes for Improved Camera Pose Estimation

no code implementations4 Jun 2022 Gil Avraham, Julian Straub, Tianwei Shen, Tsun-Yi Yang, Hugo Germain, Chris Sweeney, Vasileios Balntas, David Novotny, Daniel DeTone, Richard Newcombe

This paper presents a framework that combines traditional keypoint-based camera pose optimization with an invertible neural rendering mechanism.

Neural Rendering Pose Estimation

NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning

no code implementations CVPR 2022 Tony Ng, Hyo Jin Kim, Vincent Lee, Daniel DeTone, Tsun-Yi Yang, Tianwei Shen, Eddy Ilg, Vassileios Balntas, Krystian Mikolajczyk, Chris Sweeney

We let a feature encoding network and image reconstruction network compete with each other, such that the feature encoder tries to impede the image reconstruction with its generated descriptors, while the reconstructor tries to recover the input image from the descriptors.

Camera Localization Image Reconstruction

ODAM: Object Detection, Association, and Mapping using Posed RGB Video

1 code implementation ICCV 2021 Kejie Li, Daniel DeTone, Steven Chen, Minh Vo, Ian Reid, Hamid Rezatofighi, Chris Sweeney, Julian Straub, Richard Newcombe

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.

3D Object Detection Association +2

SuperGlue: Learning Feature Matching with Graph Neural Networks

16 code implementations CVPR 2020 Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich

This paper introduces SuperGlue, a neural network that matches two sets of local features by jointly finding correspondences and rejecting non-matchable points.

Image Matching Pose Estimation +1

Deep ChArUco: Dark ChArUco Marker Pose Estimation

1 code implementation CVPR 2019 Danying Hu, Daniel DeTone, Vikram Chauhan, Igor Spivak, Tomasz Malisiewicz

We evaluate Deep ChArUco in challenging low-light, high-motion, high-blur scenarios and demonstrate that our approach is superior to a traditional OpenCV-based method for ChArUco marker detection and pose estimation.

Camera Calibration Data Augmentation +1

Self-Improving Visual Odometry

no code implementations8 Dec 2018 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 network which computes pointwise data associations across images.

Pose Estimation Self-Supervised Learning +1

SuperPoint: Self-Supervised Interest Point Detection and Description

27 code implementations20 Dec 2017 Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich

This paper presents a self-supervised framework for training interest point detectors and descriptors suitable for a large number of multiple-view geometry problems in computer vision.

Domain Adaptation Homography Estimation

Toward Geometric Deep SLAM

no code implementations24 Jul 2017 Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich

The first network, MagicPoint, operates on single images and extracts salient 2D points.

Deep Image Homography Estimation

8 code implementations13 Jun 2016 Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich

We present a deep convolutional neural network for estimating the relative homography between a pair of images.

Homography Estimation

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