IEEE

Subspace Representation Learning for Sparse Linear Arrays to Localize More Sources Than Sensors: A Deep Learning Methodology

Abstract: Localizing more sources than sensors with a sparse linear array (SLA) has long relied on minimizing a distance between two covariance matrices and recent algorithms often utilize ...
GitHub

Open-Set Gait Recognition from Sparse mmWave Radar Point Clouds

This repository contains the implementation of the experiments presented in our paper "Open-Set Gait Recognition from Sparse mmWave Radar Point Clouds". It is available in early access at this link.
The New York Times

The Best Vitamin C Serums

We independently review everything we recommend. When you buy through our links, we may earn a commission. Learn more› By Rory Evans Rory Evans is a writer focused on skin-care and beauty products.
GitHub

TSP3D: Text-guided Sparse Voxel Pruning for Efficient 3D Visual Grounding

This repo contains the official PyTorch implementation for paper Text-guided Sparse Voxel Pruning for Efficient 3D Visual Grounding. Look here for 中文解读. conda create -n TSP3D python=3.9 conda activate ...
IEEE

Optimizing Sparse Matrix-Vector Multiplication on GPUs using the Mathematics of Arrays

Abstract: We present a Mathematics of Arrays (MoA) and ψ-calculus derivation of the memory-optimal operational normal form for ELLPACK sparse matrix-vector multiplication (SpMV) on GPUs. Under the ...