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Name: Haozhe Jia
Type: User
Bio: PhD candidate in Northwestern Polytechnical University (NPU) Computer Vision, Medical Image Procssing
Name: Haozhe Jia
Type: User
Bio: PhD candidate in Northwestern Polytechnical University (NPU) Computer Vision, Medical Image Procssing
3D ResNets for Action Recognition (CVPR 2018)
The Pytorch implementation of the 3D Anisotropic Hybrid Network described in the paper "3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes"
Paper bank for Self-Supervised Learning
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
Explainability of Brain Tumour Segmentation Models
COVID-19 imaging-based AI paper collection
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
DenseASPP for Semantic Segmentation in Street Scenes
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
This repo is the tensorflow implementation of Discriminative Feature Network (DFN)
Implementation of Paper Learning a Discriminative Feature Network for Semantic Segmentation (CVPR2018)(face++)
Deep Learning GPU Training System
This repo is an unofficial pytorch implementation of CVPR2019 paper: Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation
A PyTorch implementation of EfficientNet
The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)
Fast R-CNN
The fastai deep learning library, plus lessons and tutorials
Faster R-CNN
FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Gated-Shape CNN for Semantic Segmentation (ICCV 2019)
High-resolution representation learning (HRNets) for Semantic Segmentation
image captioning codebase in pytorch(finetunable cnn in branch "with_finetune", self-critical training is under my self-critical.pytorch repository.)
code for "Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans" TMI2020.
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
blog
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.