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Name: 曹明伟,Mingwei Cao
Type: User
Company: AHU
Location: AnHui
Name: 曹明伟,Mingwei Cao
Type: User
Company: AHU
Location: AnHui
Matlab Lie group utilities: flows and differential operators on GL(n), SE(2), SE(3), SO(3), S^3
Ego-motion technique based on the optimization of SE(3) transformations on a manifold by using Lie groups and algebras
Task Overview Following the success of the four previous plant identification tasks (ImageCLEF 2011-13 ; LifeCLEF 2014), we are glad to organize this year a new challenge dedicated to botanical data. The task will be focused on tree, herbs and ferns species identification based on different types of images. Its main novelties compared to the last years will by : -"use of external resources" : it will be possible to use more external online resources (but strictly forbidden to used data from Tela Botanica website), as training data to enrich the provided one, - "species number" : the number of species (about 1 000 species), which is an important step towards covering the entire flora of a given region. Multi-image query The motivation of the task is to fit better with a real scenario where one user tries to identify a plant by observing its different organs, such as it has been demonstrated in [MAED2012]. Indeed, botanists usually observe simultaneously several organs like the leaves and the fruits or the flowers in order to disambiguate species which could be confused if only one organ were observed. Moreover, if only one organ is observed, such as the bark of a deciduous plant during winter where nothing else is observable, then the observation of this organ with several photos related to different point of views could be more informative than only one point of view. Thus, contrary to the 3 first years, the species identification task won't be image-centered but OBSERVATION-centered. The aim of the task is be to produce a list of relevant species for each observation of a plant of the test dataset, i.e. one or a set of several pictures related to a same event: one same person photographing several detailed views on various organs the same day with the same device with the same lightening conditions observing one same plant.
Code release for the ECCV 2016 paper (placeholder)
Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"
Light field video applications (e.g. video refocusing, focus tracking, changing aperture and view)
A Light-weight and Fast Template Matrix Library
A light weight library for SIMD based computation
CVPR 2017 Paper: Light Field Blind Motion Deblurring
Light field viewer and virtual light field camera
Matlab code for MS thesis on SFR (spatial frequency response) measure for light field cameras
to compute saliency maps from light-field data
LightGBM is a fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithm, used for ranking (learning to rank), classification and many other machine learning tasks.
Open source Vive Lighthouse tracking
auditing and performance metrics for Progressive Web Apps
Scalable, fast, and lightweight system for large-scale topic modeling
Distributed LDA, takes raw text as input and outputs topic word table.
A modern, research-oriented renderer
deep learning in hundreds of lines of code
Ligra: A Lightweight Graph Processing Framework for Shared Memory
Research Prototype SVG Editor for Transient Widget idea
lime (Library for Image Editing)
Lime: Explaining the predictions of any machine learning classifier
LINE: Large-scale information network embedding
Line3D - Multi-View Stereo using Line Segments
Line3D++ - Multi-View Stereo using Line Segments
Implementation of linear SVM and HOG
Simple example showing how to use intermediate CNN layer activations as feature vectors for training a linear SVM, to create a custom image classifier
Gaussian processes with general nonlinear likelihoods using the unscented transform or Taylor series linearisation.
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.