Picture for João M. Pereira

João M. Pereira

Duke University

SelfReDepth: Self-Supervised Real-Time Depth Restoration for Consumer-Grade Sensors

Add code
Jun 05, 2024
Viaarxiv icon

Tensor Moments of Gaussian Mixture Models: Theory and Applications

Add code
Feb 14, 2022
Figure 1 for Tensor Moments of Gaussian Mixture Models: Theory and Applications
Figure 2 for Tensor Moments of Gaussian Mixture Models: Theory and Applications
Figure 3 for Tensor Moments of Gaussian Mixture Models: Theory and Applications
Figure 4 for Tensor Moments of Gaussian Mixture Models: Theory and Applications
Viaarxiv icon

Landscape analysis of an improved power method for tensor decomposition

Add code
Oct 29, 2021
Figure 1 for Landscape analysis of an improved power method for tensor decomposition
Figure 2 for Landscape analysis of an improved power method for tensor decomposition
Figure 3 for Landscape analysis of an improved power method for tensor decomposition
Figure 4 for Landscape analysis of an improved power method for tensor decomposition
Viaarxiv icon

Learning latent stochastic differential equations with variational auto-encoders

Add code
Jul 12, 2020
Figure 1 for Learning latent stochastic differential equations with variational auto-encoders
Figure 2 for Learning latent stochastic differential equations with variational auto-encoders
Figure 3 for Learning latent stochastic differential equations with variational auto-encoders
Figure 4 for Learning latent stochastic differential equations with variational auto-encoders
Viaarxiv icon

Robust Marine Buoy Placement for Ship Detection Using Dropout K-Means

Add code
Feb 20, 2020
Figure 1 for Robust Marine Buoy Placement for Ship Detection Using Dropout K-Means
Figure 2 for Robust Marine Buoy Placement for Ship Detection Using Dropout K-Means
Viaarxiv icon

Learning Partial Differential Equations from Data Using Neural Networks

Add code
Oct 22, 2019
Figure 1 for Learning Partial Differential Equations from Data Using Neural Networks
Figure 2 for Learning Partial Differential Equations from Data Using Neural Networks
Figure 3 for Learning Partial Differential Equations from Data Using Neural Networks
Figure 4 for Learning Partial Differential Equations from Data Using Neural Networks
Viaarxiv icon