✧ Homepage: https://yanx27.github.io/
✧ Google Scholar: https://scholar.google.com.hk/citations?hl=zh-CN&user=TK4Ty0gAAAAJ
Name: Benny
Type: User
Company: The Chinises University of Hong Kong, Shenzhen
Bio: CUHK-SZ, Huawei Noah's Ark Lab. Focus: 3D CV and AD.
Location: China, Shenzhen
✧ Homepage: https://yanx27.github.io/
✧ Google Scholar: https://scholar.google.com.hk/citations?hl=zh-CN&user=TK4Ty0gAAAAJ
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (ECCV 2022) :fire:
A resource repository for 3D machine learning
3D Graph Neural Networks for RGBD Semantic Segmentation
some attention implements
A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!
CapsNet (from "Dynamic Routing Between Capsules") implemented in pytorch.
This CapsNet implemented by pytorch
CLEVR3D Dataset: Comprehensive Visual Question Answering on Point Clouds through Compositional Scene Manipulation
My deeplearning case study
Rank 1st in the public leaderboard of SemanticKITTI Panoptic Segmentation (2020-11-16)
Using QANet and BiDAF on DuReader datasets
Everybody dance now reproduced in pytorch
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'
A project for telling stories according to images in some particular style
Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion (AAAI 2021)
Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
Synthesizing and manipulating 2048x1024 images with conditional GANs
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling (CVPR 2020)
Code for paper <PointContrast: Unsupervised Pretraining for 3D Point Cloud Understanding>
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
a module for 3D semantic segmentation in point clouds.
📚A practical approach to learning machine learning.
Pointwise Rotation-Invariant Network
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
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.