Existing public face image datasets are strongly biased toward Caucasian faces, and other
races (eg, Latino) are significantly underrepresented. The models trained from such datasets …

The introduction of publicly available large-scale datasets and advances in generative
adversarial networks (GANs) have revolutionized the generation of hyper-realistic facial …

Visual media have important persuasive power, but prior computer vision approaches have
predominantly ignored the persuasive aspects of images. In this work, we propose a suite of …

It is examined how to use digital facial anthropometry for scientific and practical problems;
from biometry up to its different applications including medicine, biology, genetics, pattern …

The news media shape public opinion, and often, the visual bias they contain is evident for
human observers. This bias can be inferred from how different media sources portray …

Online political advertising is a central aspect of modern election campaigning for
influencing public opinion. Computational analysis of political ads is of utmost importance in …

The news media shape public opinion, and often, the visual bias they contain is evident for
careful human observers. This bias can be inferred from how different media sources portray …

We address the task of advertisement image generation and introduce three evaluation
metrics to assess Creativity, prompt Alignment, and Persuasiveness (CAP) in generated …

Face detection is a long-standing challenge in the field of computer vision, with the ultimate
goal being to accurately localize human faces in an unconstrained environment. There are …

Представлен аналитический обзор применения методов цифровой лицевой
антропометрии в научных и практических задачах. Исследование включает краткую …