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An ultrasonic 3D scanner
Three-dimensional compressive sensing algorithms
3DMatch reference implementation.
Code is available on https://www.dropbox.com/s/80ltjrxr2v9maeg/LTDL.zip?dl=0
Active-Set Pursuit: an active-set solver for basis pursuit and related sparse optimization problems
This creates a Tensorflow Graph for the automaized illumination detection.
A SciPy implementation of the void-and-cluster method for generation of blue noise textures with arbitrary dimension.
Code and data for "Three-dimensional imaging through scattering media based on confocal diffuse tomography"
Tensor methods have emerged as a powerful paradigm for consistent learning of many latent variable models such as topic models, independent component analysis and dictionary learning. Model parameters are estimated via CP decomposition of the observed higher order input moments. However, in many domains, additional invariances such as shift invariances exist, enforced via models such as convolutional dictionary learning. In this paper, we develop novel tensor decomposition algorithms for parameter estimation of convolutional models. Our algorithm is based on the popular alternating least squares method, but with efficient projections onto the space of stacked circulant matrices. Our method is embarrassingly parallel and consists of simple operations such as fast Fourier transforms and matrix multiplications. Our algorithm converges to the dictionary much faster and more accurately compared to the alternating minimization over filters and activation maps.
This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/
A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.
Simple depth maps obtained by using CNN
Rank Minimization for Snapshot Compressive Imaging (TPAMI'18)
Deep Learning for Fluorescence Lifetime Imaging
ROS wrapper for dso
Github pages
Self-supervised learning for dense depth estimation in monocular endoscopy
从昨天开始做一个健康的程序员。
A library containing keypoint detectors for the stable detection of interest points in laser measurements and two descriptors for robust associations.
GANPOP: Generative Adversarial Network Prediction of Optical Properties from Single Snapshot Wide-field Images
Convolutional Sparse Coding in Gradient Domain for MRI Reconstruction
UltraEdit 注册机
Joint Estimation of Dictionary and Image (from compressive samples)
自己动手从0到1写嵌入式操作系统 课程的相关资料下载
Intel® RealSense™ SDK
MatConvNet: CNNs for MATLAB
Multi-channels and Multi-models based Autoencoding Priors for Grayscale Image Restoration
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.