4 papers
AstroSpy: On detecting Fake Images in Astronomy via Joint Image-Spectral Representations
Mohammed Talha Alam, Raza Imam, Mohsen Guizani +1
The prevalence of AI-generated imagery has raised concerns about the authenticity of astronomical images, especially with advanced text-to-image models like Stable Diffusion produc…
CosmoCLIP: Generalizing Large Vision-Language Models for Astronomical Imaging
Raza Imam, Mohammed Talha Alam, Umaima Rahman +2
Existing vision-text contrastive learning models enhance representation transferability and support zero-shot prediction by matching paired image and caption embeddings while pushi…
FLARE up your data: Diffusion-based Augmentation Method in Astronomical Imaging
Mohammed Talha Alam, Raza Imam, Mohsen Guizani +1
The intersection of Astronomy and AI encounters significant challenges related to issues such as noisy backgrounds, lower resolution (LR), and the intricate process of filtering an…
Can We Enhance the Quality of Mobile Crowdsensing Data Without Ground Truth?
Jiajie Li, Bo Gu, Shimin Gong +2
Mobile crowdsensing (MCS) has emerged as a prominent trend across various domains. However, ensuring the quality of the sensing data submitted by mobile users (MUs) remains a compl…