ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"

⚡️A Blazing-Fast Python Library for Ranking Evaluation, Comparison, and Fusion 🐍

A tracker based on joint probabilistic data association filtering.

Repository for automatic classification and labeling of Urban PointClouds using data fusion and region growing techniques.

A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evaluation - fusilli's got you covered 🌸

scikit-fusion: Data fusion via collective latent factor models

This repository contains several hyperspectral image analysis algorithms, including unmixing, registration and fusion.

WInte.r is a Java framework for end-to-end data integration. The WInte.r framework implements well-known methods for data pre-processing, schema matching, identity resolution, data fusion, and result evaluation.

[TITS 2023] Dataset-Asynchronous Trajectory Matching-based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways

Multimodal sentiment analysis using hierarchical fusion with context modeling

Implementation in Python for Dempster Shafer algorythm with application in predicting movies genres by reviews

HSI and LiDAR image fusion based on Deep Learning

A deep learning approach for combining time-series and textual data for taxi demand prediction in event areas

(Multiblock) Partial Least Squares Regression for Python

[TITS 2023] Method-Asynchronous Trajectory Matching-Based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways

Belief functions theory (Dempster-Shafer theory) implementation in C++

A test data set for fusion of panoramic images and point clouds collected by a mobile mapping system

Multi-view clustering with flexible ensemble structures.

CZU-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and 10 wearable inertial sensors

DeepCU: Integrating Both Common and Unique Latent Information for Multimodal Sentiment Analysis, IJCAI-19