GitHub

Any6D: Model-free 6D Pose Estimation of Novel Objects

We introduce Any6D, a model-free framework for 6D object pose estimation that requires only a single RGB-D anchor image to estimate both the 6D pose and size of unknown objects in novel scenes. Unlike ...
GitHub

Azure AI Content Understanding Samples (Python)

Welcome! This repository contains REST API tutorial samples that demonstrate how to use the Azure AI Content Understanding service directly via HTTP calls with thin Python convenience wrappers. These ...
IEEE

$\ell_{0}$ Penalized Maximum Likelihood Estimation of Sparse Covariance Matrices

Abstract: In this letter we present a framework for estimating sparse covariance matrices, wherein we solve the $\ell _{0}-$ norm penalized maximum likelihood estimation problem using the extended ...
National Academies of Sciences%2c Engineering%2c and Medicine

Modernizing Probable Maximum

This activity was supported by a contract between the National Academy of Sciences and the Department of Commerce. Any opinions, findings, conclusions, or recommendations expressed in this publication ...
IEEE

2-D Unconditional Maximum Likelihood DOA Estimation Based on Majorization-Minimization

Abstract: In this paper, we propose a majorization-minimization (MM) based refinement strategy tailored for two-dimensional (2-D) unconditional maximum likelihood (UML) direction-of-arrival (DOA) ...