LLMs can unmask pseudonymous users at scale with surprising accuracy

If LLMs’ success in deanonymizing people improves, the researchers warn, governments could use the techniques to unmask ...
IEEE

Hyperspectral Image Super-Resolution via Grouped Second-Order Spatial Features and Spectral Attention Network

Abstract: Hyperspectral imaging (HSI) captures detailed spectral data across a wide range of wavelengths, making HSI invaluable for many computer vision applications. However, limitations of imaging ...

AI toolkit turns microscopy images into multi-feature microstructure datasets

A research team from The Hong Kong University of Science and Technology (HKUST) has developed GrainBot, an AI-enabled toolkit that automatically extracts and quantifies multiple microstructural ...
IEEE

Knowledge Distillation for Underwater Feature Extraction and Matching via GAN-Synthesized Images

Abstract: Autonomous Underwater Vehicles (AUVs) play a crucial role in underwater exploration. Vision-based methods offer cost-effective solutions for localization and mapping in the absence of ...