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Name: TUM Computer Vision Group
Type: Organization
Location: Munich, Germany
Name: TUM Computer Vision Group
Type: Organization
Location: Munich, Germany
Automatic Feature Selection
This is a slightly modified version of the official ardrone_autonomy package, which You can find here: https://github.com/AutonomyLab/ardrone_autonomy
articulation models
Code for AR.Drone Exercises
python interpreter and drone simulator for the visnav edx excercises
interactive exercises for AUTONAVx course
Combined Spectral Descriptors and LMNN for non-rigid 3D shape retrieval
Distributed Bundle Adjustment Toolkit
Source code for the NeurIPS 2022 paper "Deep Combinatorial Aggregation"
[3DV '24] Deep Event Visual Odometry
Dense Visual Odometry
Dense Visual Odometry and SLAM
Volumetric 3D Mapping in Real-Time on a CPU
Real-Time Minimization of the Piecewise Smooth Mumford-Shah Functional
This repository is the official release of the code for the following paper "FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-based CNN Architecture" which is published at the 13th Asian Conference on Computer Vision (ACCV 2016).
[ECCV '22] Intrinsic Neural Fields: Learning Functions on Manifolds
ROS integration for kfusion
DSO with SIM(3) pose graph optimization and loop closure
Implementation of "Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems"
Implementation of Layered Graphical Model with demo code
LSD-SLAM
Masked Event Modeling: Self-Supervised Pretraining for Event Cameras (WACV '24)
Code for Monocular Visual Odometry Dataset - https://vision.cs.tum.edu/data/datasets/mono-dataset
Source code for experiments in paper "Deriving Neural Network Design and Learning from the Probabilistic Framework of Chain Graphs" by Yuesong Shen and Daniel Cremers.
Implementation of online photometric calibration (https://vision.in.tum.de/research/vslam/photometric-calibration)
OpenNI2 camera node for ROS
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.