Imagine trying to explain a complex idea to your team, only to be met with blank stares and confusion. We’ve all been there, struggling to bridge the gap between our thoughts and others’ understanding ...

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 ...

An example of visual data augmentation techniques used in machine learning, which captures the main principle of variability effects: exposure to variation along non-discriminative dimensions (i.e., ...