Python package for multi-view machine learning

Code release for "Multi-view Consistency as Supervisory Signal for Learning Shape and Pose Prediction"

Multi-view Knowledge Graph Embedding for Entity Alignment, IJCAI 2019

An implementation of Deep Generalized Canonical Correlation Analysis (DGCCA or Deep GCCA) with pytorch.

AAAI 2022 (Oral): Stationary diffusion state neural estimation

TCyb 2018: Graph learning for multiview clustering

[ICCV, 2023] Multiple humans in 3D captured by dynamic and static cameras in 4K.

A python implementation of the Multi-View Stacking algorithm

MATLAB code for the ICDM paper "Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering"

Public repository of our IGARSS 2023 submission

Generalized Deep Multiset Canonical Correlation Analysis for Multiview Learning of Speech Representations

TKDE 2019: Graph Structure Fusion for Multiview Clustering

List of multi-view fusion learning models proposed for remote sensing (RS) multi-view data. Extension from our JSTAR paper.

Concept bottleneck models for multiview data with incomplete concept sets

Consistency-aware and inconsistency-aware graph-based multi-view clustering

DVIB is an information bottleneck method that tries to disentangle multiview data into shared and private representations.

Awesome papers on Multi-View Learning

Experimental package to give easy access to key toy and simulated datasets from the (deep) multiview learning literature

Here I save the code files of my researching project

Public repository of our IGARSS 2023 submission