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Portfolio for 3D Point Cloud Processing from www.shenlanxueyuan.com China
Train deep reinforcement learning model for robotics grasping. Choose from different perception layers raw Depth, RGBD and autoencoder. Test the learned models in different scenes and object datasets
Real-time dense visual SLAM system
ESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis
PointNetGPD is an end-to-end grasp evaluation model to address the challenging problem of localizing robot grasp configurations directly from the point cloud.
Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
Source Code of our CVPR2021 paper "Rethinking BiSeNet For Real-time Semantic Segmentation"
SurfelWarp: Efficient Non-Volumetric Dynamic Reconstruction
Same Object, Different Grasps: Data and Semantic Knowledge for Task-Oriented Grasping
Real-time 6 DOF grasp detection in clutter.
Related papers and codes for vision-based robotic grasping
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
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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.
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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.