Recently, the automatic prediction of personality traits has received a lot of attention.
Specifically, personality trait prediction from multimodal data has emerged as a hot topic …

ChatGPT has shown the potential of emerging general artificial intelligence capabilities, as it
has demonstrated competent performance across many natural language processing tasks …

Automatic emotion recognition has become a trending research topic in the past decade.
While works based on facial expressions or speech abound, recognizing affect from body …

Organizations are increasingly adopting automated video interviews (AVIs) to screen job
applicants despite a paucity of research on their reliability, validity, and generalizability. In …

This paper provides an overview of the Joint Contest on Multimedia Challenges Beyond
Visual Analysis. We organized an academic competition that focused on four problems that …

ChatGPT has stunned the world with its ability to generate detailed, original, and accurate
responses to prompts. While it unlocked solutions to problems that were previously …

With the rise of foundation models, a new artificial intelligence paradigm has emerged, by
simply using general purpose foundation models with prompting to solve problems instead …

Customer retention is important in the financial services industry. Machine learning has
been incorporated into customer data analytics to predict client churn risks. Despite its …

Nonlinear regression has been extensively employed in many computer vision problems
(eg, crowd counting, age estimation, affective computing). Under the umbrella of deep …

We introduce the psychometric concepts of bias and fairness in a multimodal machine
learning context assessing individuals' hireability from prerecorded video interviews. We …