rpautrat Goto Github PK
Name: Rémi Pautrat
Type: User
Company: Microsoft
Bio: Research scientist in the Mixed Reality & AI Lab of Microsoft in Zurich
Name: Rémi Pautrat
Type: User
Company: Microsoft
Bio: Research scientist in the Mixed Reality & AI Lab of Microsoft in Zurich
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
Personal Pytorch framework to train and run deep learning algorithms
DSAC* for Visual Camera Re-Localization (RGB or RGB-D)
Code for "GIFT: Learning Transformation-Invariant Dense Visual Descriptors via Group CNNs" NeurIPS 2019
Training library for local feature detection and matching
Holistically-Attracted Wireframe Parsing
Visual localization made easy
Light-weight library to perform homography estimation with RANSAC from point, line or point-line correspondences
Open Source Differentiable Computer Vision Library
Local Invariance Selection at Runtime for Descriptors (LISRD)
A PyTorch port of the Neural 3D Mesh Renderer
Implementation of ICCV19 Paper "Learning Two-View Correspondences and Geometry Using Order-Aware Network"
Open3D: A Modern Library for 3D Data Processing
The Progressive-X algorithm proposed in paper: Daniel Barath and Jiri Matas; Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm, International Conference on Computer Vision, 2019. It is available at https://arxiv.org/pdf/1906.02290
Python bindings for COLMAP estimators
Python tools for working with KITTI data.
Python transparent bindings for LSD (Line Segment Detector)
Template-based implementation of RANSAC and its variants in C++
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
Efficient neural feature detector and descriptor
PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)
Adaptation of the original "TP-LSD: Tri-points based line segment detector" with more recent torch/cuda versions
VS-Net: Voting with Segmentation for Visual Localization
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.