A curated list of tutorials, papers, software related to multi-view stereo.
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Updated
Aug 29, 2022
A curated list of tutorials, papers, software related to multi-view stereo.
Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"
Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease (AMIA 2018)
This repo includes the source code of the fully convolutional depth denoising model presented in https://arxiv.org/pdf/1909.01193.pdf (ICCV19)
The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
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 🌸
PyTorch implementation for Partially View-aligned Representation Learning with Noise-robust Contrastive Loss (CVPR 2021)
[TKDE] Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-based Sentiment Analysis
[MICCAI2021] This is an official PyTorch implementation for "Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segmentation"
Code for "Long Horizon Forecasting With Temporal Point Processes", WSDM 2021
MultiGraphGAN for predicting multiple target graphs from a source graph using geometric deep learning.
Integrated View Predictive GAN for Drug-Target Indication Prediction
An exploratory project which wants to find ways to learn from noisy data
Deep Learning Approach for UWB Applications (IEEE Journal of Biomedical and Health Informatics)
Official code for 2021-DASFAA-Neural Demographic Prediction in Social Media with Deep Multi-View Multi-Task Learning
Experimental repo for modelling Articulated Object Neural Radiance Field
a Pytorch library for multi-view 3D understanding and generation
[TKDE 2018] Code for "MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation"
[KDD 2020] This is the code repository for our KDD'20 paper STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths.
Integrative Reduced Rank Regression with Multi-View Predictors
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