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.
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 🌸
The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
This repo includes the source code of the fully convolutional depth denoising model presented in https://arxiv.org/pdf/1909.01193.pdf (ICCV19)
Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease (AMIA 2018)
a Pytorch library for multi-view 3D understanding and generation
[NeurIPS 2023 Spotlight] Code for "Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion"
PyTorch implementation for Partially View-aligned Representation Learning with Noise-robust Contrastive Loss (CVPR 2021)
[MICCAI2021] This is an official PyTorch implementation for "Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segmentation"
Experimental repo for modelling Articulated Object Neural Radiance Field
[TKDE] Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-based Sentiment Analysis
Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"
Adaptive Confidence Multi-View Hashing
MultiGraphGAN for predicting multiple target graphs from a source graph using geometric deep learning.
Code for "Long Horizon Forecasting With Temporal Point Processes", WSDM 2021
Deep Learning Approach for UWB Applications (IEEE Journal of Biomedical and Health Informatics)
Code for the paper "Multi-view Graph Learning by Joint Modeling of Consistency and Inconsistency"
[KDD 2020] This is the code repository for our KDD'20 paper STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths.
The official repos for "A Clustering-guided Contrastive Fusion for Multi-view Representation Learning"
Project code for weakly supervised 3D object detectors using wide-baseline multi-view traffic camera data: WIBAM.
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