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Name: Xiaobing Han
Type: User
Bio: On The Road!!
Name: Xiaobing Han
Type: User
Bio: On The Road!!
This is the official code repository for OccuSeg, a state-of-the-art method for accurate joint 3D semantic and instance segmentation.
official repository for the Instance Prototype Contrastive Learning (IPCL)
An open framework for Federated Learning.
OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.org/abs/2206.04670)
The official Pytorch implementation of OCNet series and SegFix.
(CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
Federated Deep Learning in PaddlePaddle
Implementation for Panoptic-PolarNet (CVPR 2021)
Parametric Contrastive Learning (ICCV2021)
PASSL包含 SimCLR,MoCo v1/v2,BYOL,CLIP,PixPro,simsiam, SwAV, BEiT,MAE 等图像自监督算法以及 Vision Transformer,DEiT,Swin Transformer,CvT,T2T-ViT,MLP-Mixer,XCiT,ConvNeXt,PVTv2 等基础视觉算法
[ICLR 2022] "Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?" by Yonggan Fu, Shunyao Zhang, Shang Wu, Cheng Wan, Yingyan Lin
PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"
Code for the paper "PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel Frames" (CVPR 2020).
Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradients. To achieve robustness to users dropping out, existing practical privacy-preserving federated learning schemes are based on (t, N)-threshold secret sharing. Such schemes rely on a strong assumption to guarantee security: the threshold t must be greater than half of the number of users. The assumption is so rigorous that in some scenarios the schemes may not be appropriate. Motivated by the issue, we first introduce membership proof for federated learning, which leverages cryptographic accumulators to generate membership proofs by accumulating users IDs. The proofs are issued in a public blockchain for users to verify. With membership proof, we propose a privacy-preserving federated learning scheme called PFLM. PFLM releases the assumption of threshold while maintaining the security guarantees. Additionally, we design a result verification algorithm based on a variant of ElGamal encryption to verify the correctness of aggregated results from the cloud server. The verification algorithm is integrated into PFLM as a part. Security analysis in a random oracle model shows that PFLM guarantees privacy against active adversaries. The implementation of PFLM and experiments demonstrate the performance of PFLM in terms of computation and communication.
PixelNeRF Official Repository
Learning with Noisy Labels for Robust Point Cloud Segmentation (ICCV2021 Oral)
PnP-3D: A Plug-and-Play for 3D Point Clouds (TPAMI 2021)
[CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling
visualization点云可视化(open3D, mayavi等)
This is an unofficial implementation of the Point Transformer paper.
Code for PointAugment: an Auto-Augmentation Framework for Point Cloud Classification, CVPR 2020 (Oral)
[CVPR 2022] PointCLIP: Point Cloud Understanding by CLIP
This is a fundamental manual for getting started with Point Cloud, covering basic knowledge of point cloud, point cloud file format, CloudCompare and MeshLab software instructions, PCL library algorithm introduction and other algorithms supplementary.
Code for paper <PointContrast: Unsupervised Pretraining for 3D Point Cloud Understanding>
Implementation for paper "PointMixup: Augmentation for Point Cloud". Accepted to ECCV 2020 as spotlight presentation
[ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework"
Point-NeRF: Point-based Neural Radiance Fields
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
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.