This review paper aims to serve as a comprehensive guide and instructional resource for
researchers seeking to effectively implement language models in medical imaging research …

Abstract Recently, Large Language Models (LLMs) have demonstrated impressive
capability to solve a wide range of tasks. However, despite their success across various …

Classifying multi-attributes is gaining interest in the research and business community,
especially for person re-identification (ReID) and fashion trend analysis. However, manual …

First impressions are key, especially in the crowded world of digital content on platforms like
YouTube, where thumbnails play a vital role in grabbing viewer attention. This paper …

Current AI-based methods for the classification of cellular features in microscopy images
require time-and labor-intensive processes for training models. Specific limitations include …

While concerns about the risks of AI-generated content (AIGC) to the integrity of social media
discussions have been raised, little is known about its scale and the actors responsible for …