How modern infostealers target macOS systems, leverage Python‑based stealers, and abuse trusted platforms and utilities to ...

Abstract: Both traditional and learning-based hyperspectral image (HSI) compression methods suffer from significant quality loss at high compression ratios. To address this, we propose a low-overhead, ...

Abstract: This paper aims to design and analyze an image compression technique using an autoencoder-based deep learning model. Traditional image compression methods, such as JPEG and PNG, rely on ...

@inproceedings{Chen2025TVMC, author = {Chen, Guodong and H{\'a}cha, Filip and V{\'a}{\v{s}}a, Libor and Dasari, Mallesham}, title = {TVMC: Time-Varying Mesh ...

Imager is a specialized utility developed to automate the manual bottleneck of gathering image datasets. Unlike traditional scraping methods that struggle with JavaScript-heavy sites, Imager leverages ...