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 …

Automatic personality trait recognition has attracted increasing interest in psychology,
neuropsychology, and computer science, etc. Motivated by the great success of deep …

This paper summarizes the ChaLearn Looking at People 2016 First Impressions challenge
data and results obtained by the teams in the first round of the competition. The goal of the …

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

We propose a tri-modal architecture to predict Big Five personality trait scores from video
clips with different channels for audio, text, and video data. For each channel, stacked …

The behavior, mental-health, emotion, life choices, social nature, and thought patterns of an
individual are revealed by personality. Cyber forensics, personalized services …

Personality analysis has been widely studied in psychology, neuropsychology, and signal
processing fields, among others. From the past few years, it also became an attractive …

This article aims to solve two important issues that frequently occur in existing automatic
personality analysis systems: 1. Attempting to use very short video segments or even single …

First impressions strongly influence social interactions, having a high impact in the personal
and professional life. In this paper, we present a deep Classification-Regression Network …

Here, we develop an audiovisual deep residual network for multimodal apparent personality
trait recognition. The network is trained end-to-end for predicting the Big Five personality …