feng135799

CVC

MarinhaLucas

arl

lists of most popular repositories for most favoured programming languages (according to StackOverflow)

BCI-project

BMVC10

Recognizing human actions in still images: a study of bag-of-features and part-based representations

ComponentSPD

Paper published in Computational Visual Media. \\ Title: Component SPD matrices: A low-dimensional discriminative data descriptor for image set classification

Covariance_ObjectDetector

Implementation of Tuzel's Fast Covariance Object Detector

iCovDs

Paper accepted by ICCV Workshop (ICCVW) 2019. \\ Title : More About Covariance Descriptors for Image Set Coding: Log-Euclidean Framework based Kernel Matrix Representation.

Learning

Learning Things Matlab OpenCV Armadillo OpenMP

Machine-Learning-for-Computer-Vision

Matlab projects : SVM, Adaboost, regression...

manifolds

MSR3D

The Most Infomative Joints

PSSSD

A Robust Distance Measure for Similarity-based classification on the SPD Manifold

RegionCovarianceDescriptor

Program using region covariance descriptor

RepairingInTriangleMesh

三角网格模型修补

Research_Tool_Boxs

ShipsEar

sound_reconstruction

Sound reconstruction of ridge detected tonals

SPCM-CRP

Toolbox for spectral non-parametric clustering of SPD matices (covariance matrices and ellipsoids). Also contains code for EM-based GMM learning and inference for Bayesian non-parametric CRP-GMM.

STWP-master

matlab code for 3D skeleton action recognition

SVM-using-Gaussian-Kernel-without-using-inbuild-functions-

Implementation of support vector machines(SVM) algorithm using Gaussian Kernel in MATLAB from scratch (without using in-build functions)

TFI-Features_KBS_v.1.0

This repository contains the supplementary material for the Time frequency Image article in the journal Knowledge based systems

Underwater-Dataset

Dataset of Underwater images

underwater-hl

MATLAB code for color restoration of underwater images

underwater_datasets

Pointers to a collection of underwater datasets and relevant resources.

vaessl-doa

VAESSL: Train a computer to locate acoustic sources in reverberant environments with only few labels, using semi-supervised learning with variational autoncoders.