Real-world and contextualised learning, two related and overlapping approaches, can significantly enhance students’ educational experiences and prepare them for future professional challenges. Each ...

With the emergence of huge amounts of heterogeneous multi-modal data, including images, videos, texts/languages, audios, and multi-sensor data, deep learning-based methods have shown promising ...

In recent years, contrastive language-image models such as CLIP have established themselves as a default choice for learning vision representations, particularly in multimodal applications like Visual ...