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Name: Xiaobing Han
Type: User
Bio: On The Road!!
Name: Xiaobing Han
Type: User
Bio: On The Road!!
Code for "Generating Part-Aware Editable 3D Shapes without 3D Supervision", CVPR 2023
[CVPR 2024 Oral - Best paper award candidate] Official repository of "PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness"
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
A pytorch Implementation of Open Vocabulary Object Detection with Pseudo Bounding-Box Labels
[ICCV2023] Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization
PyTorch implementation for "Point Cloud Diffusion Models for Automatic Implant Generation" (MICCAI 2023)
Companion website for the paper PCEDNet: A Light-Weight Neural Network for Fast and Interactive Edge Detection in 3D Point Clouds
PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"
Point Cloud Library (PCL)
Fusing multiple point clouds into a unified model
Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning
[ECCV 2022]PCR-CG: Point Cloud Registration via Color and Geometry
PCSeg: Open Source Point Cloud Segmentation Toolbox and Benchmark
Accelerating Image Super-Resolution Networks with Pixel-Level Classification (ECCV 2024)
Official PyTorch implementation of PCTrans: Position-Guided Transformer with Query Contrast for Biological Instance Segmentation, ICCVW 2023.
Code for our paper "More Context, Less Distraction: Visual Classification by Inferring and Conditioning on Contextual Attributes"
code of PERE
Personalized federated learning codebase for research
[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection & [ICCV2023] PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images
Code for the paper "PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel Frames" (CVPR 2020).
We expose this user-friendly algorithm library (with an integrated evaluation platform) for beginners who intend to start federated learning (FL) study
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.
PointFlow (CVPR-2021)
Implementation of "PG-RCNN: Semantic Surface Point Generation for 3D Object Detection" (ICCV 2023)
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.