wang-lizhi Goto Github PK
Name: Lizhi Wang
Type: User
Company: Beijing Institute of Technology
Bio: Researcher
Location: Beijing
Blog: https://scholar.google.com/citations?hl=en&user=FEprmwYAAAAJ&view_op=list_works
Name: Lizhi Wang
Type: User
Company: Beijing Institute of Technology
Bio: Researcher
Location: Beijing
Blog: https://scholar.google.com/citations?hl=en&user=FEprmwYAAAAJ&view_op=list_works
Configure Caffe in one hour for Windows users.
This package contains the code to run Learned D-AMP, D-AMP, D-VAMP, D-prGAMP, and DnCNN algorithms. It also includes code to train Learned D-AMP, DnCNN, and Deep Image Prior U-net using the SURE loss.
[SIGGRAPH Asia 2017] High-Quality Hyperspectral Reconstruction Using a Spectral Prior
Pytorch code for the research topic: Deep Unrolling for Computational Spectral Imaging
PyTorch deep learning framework for video compressive sensing.
Rank Minimization for Snapshot Compressive Imaging (SCI)
Tensorflow code of CVPR 2019 paper "Hyperspectral Image Reconstruction Using a Deep Spatial-Spectral Prior"
Tensorflow code of CVPR 2021 paper "Learning Tensor Low-Rank Prior for Hyperspectral Image Reconstruction"
Pytorch code for CVPR 2021 paper: Learning Tensor Low-Rank Prior for Hyperspectral Image Reconstruction
Fast Fourier Color Constancy: an auto white balance solution with machine learning in Fourier space
EE 367 Final Project
Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017)
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
Multi-focus image fusion: papers, datasets and results
Code for the paper "Non-Serial Quantization-aware Deep Optics for Diffractive Snapshot Hyperspectral Imaging".
hybrid optical electronic convolutional neural networks
Real-world Noisy Image Denoising: A New Benchmark
Code for the CVPR 2022 paper "Quantization-aware Deep Optics for Diffractive Snapshot Hyperspectral Imaging".
ReconNet: CVPR 2016
An RGB to Spectrum Conversion for Reflectances
视觉实验室新手任务
End-to-End Low Cost Compressive Spectral Imaging with Spatial-Spectral Self-Attention
A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising, ECCV 2018.
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.