liuguoyou Goto Github PK
Name: 刘国友
Type: User
Bio: xiaomi
Name: 刘国友
Type: User
Bio: xiaomi
A High-Performance video effects processing framework.
Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data
Efficient Algorithms for L0 Regularized Learning
Matlab code for ICIP paper: A Hybrid $L_2-L_p$ Variational Model for Single Low-light Image Enhancement with Bright Channel Prior
Label Refinery: Improving ImageNet Classification through Label Progression
This is the implementation for Local Adversarial Disentangling Network for Facial Makeup and De-Makeup
Implementation of the research titled: "Image Completion Using Efficient Belief Propagation via Priority Scheduling and Dynamic Pruning"
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Several landmark detection algorithms, implemented in PyTorch.
Official repository for the LandscapeAR ECCV 2020 code.
Monocular Depth Estimation Using Laplacian Pyramid-Based Depth Residuals
[CVPR 2016] Laplacian Patch-Based Image Synthesis
Laplacian-steered Neural Style Transfer for generating more appealing images
An Open-Source Deep Learning Library for Training Binarized Neural Networks
The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.
My own leetcode solutions by python
Python implementation of 'Contrast Enhancement Based on Layered Difference Representation of 2D Histograms'
Learning High Dynamic Range from Outdoor Panoramas. ICCV 2017
A book for learning the Vim editor
A PyTorch Library for Meta-learning Research
Implementation of our paper Learnable Optimal Sequential Grouping for Video Scene Detection
Code release for "learning to find good correspondences" CVPR 2018
Super Resolution FSRCNN with Learned Quantized activation, weights.
Accompanying code for 'Self-Supervised Scale Recovery for Monocular Visual Odometry'
Multiframe Image Deconvolution (re-implementation for ICCV17)
Learning Monocular Depth by Distilling Cross-domain Stereo Networks, ECCV18
Code for: "Learning To Adapt For Stereo" accepted at CVPR2019
A reimplementation of the CVPR2019 paper *Learning-based Sampling for Natural Image Matting*.
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.