News

United States Army2d
Innovating Defense: Generative AI’s Role in Military Evolution
The emergence of generative artificial intelligence (AI) indicates a paradigm shift in military research and application, ...
IEEE12d
Generative Adversarial Network With Robust Discriminator Through Multi-Task Learning for Low-Dose CT Denoising - IEEE Xplore
Reducing the dose of radiation in computed tomography (CT) is vital to decreasing secondary cancer risk. However, the use of low-dose CT (LDCT) images is accompanied by increased noise that can ...
GitHub15d
[NeurIPS 2024] GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats - GitHub
Code release for the paper "GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats" - hse1032/GSGAN ...
GitHub27d
Through-the-Wall Radar Human Activity Recognition WITHOUT Using Neural Networks
The proposed method first converts the level sets corresponding to the micro-Doppler signature into contour point clouds using the MATLAB embedded contour () function. Secondly, the point cloud and ...
IEEE29d
Integrating Generative Adversarial Networks and Convolutional Neural Networks for Enhanced Traffic Accidents Detection and Analysis - IEEE Xplore
Accident detection using Closed Circuit Television (CCTV) footage is one of the most imperative features for enhancing transport safety and efficient traffic control. To this end, this research ...