Self-supervised pre-trained models extract general-purpose representatio...
Trained on a vast amount of data, Large Language models (LLMs) have achi...
Despite the success of deep-learning models in many tasks, there have be...
Improving fairness between privileged and less-privileged sensitive attr...
The superior performance of some of today's state-of-the-art deep learni...
The abundance and ease of utilizing sound, along with the fact that audi...
We explore retrieving character-focused video frames as candidates for b...
In machine learning, disparity metrics are often defined by measuring th...
With the development of media and networking technologies, multimedia
ap...
First-person (egocentric) and third person (exocentric) videos are
drast...
Human identification remains to be one of the challenging tasks in compu...
Mirror neurons have been observed in the primary motor cortex of primate...
Thanks to the availability and increasing popularity of Egocentric camer...