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Name: phoenix
Type: User
Name: phoenix
Type: User
A resource repository for 3D machine learning
3D Point Capsule Networks
3D ResNets for Action Recognition (CVPR 2018)
An Open-source Codebase for exploring Continuous-learning/Pre-training-oriented Autonomous Driving Task
A curated list of research papers in exploring causality in vision. Link to the code if available is also present.
A collection of AWESOME things about domian adaptation
A list of papers and datasets about point cloud analysis (processing)
Reinforcement learning resources curated
Contrastive Embedding Distribution Refinement and Entropy-Aware Attention for 3D Point Cloud Classification
Contrastive Embedding Distribution Refinement and Entropy-Aware Attention for 3D Point Cloud Classification
Improving Contrastive Learning by Visualizing Feature Transformation, ICCV 2021 Oral
After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
Implementation of "Deep Implicit Templates for 3D Shape Representation"
Self-Supervised Learning for Domain Adaptation on Point-Clouds
DepthContrast self-supervised learning for 3D
A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
DomainBed is a suite to test domain generalization algorithms
Geometric Back-projection Network for Point Cloud Classification (IEEE Transactions on Multimedia, TMM 2021)
Invariant Information Clustering for Unsupervised Image Classification and Segmentation
Domain Adaptation on Point Clouds via Geometry-Aware Implicits
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression
Auto-encoding & Generating 3D Point-Clouds.
The code for the proposed line segment matching method
OpenMMLab's next-generation platform for general 3D object detection.
Normal estimation for unstructured 3D point clouds using convolutional neural networks and a Mixture of Experts scale predictor.
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
[ECCV2022] Optimization over Disentangled Encoding: Unsupervised Cross-Domain Point Cloud Completion via Occlusion Factor Manipulation
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.