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 …

Over the past few years, there has been an increased interest in automatic facial behavior
analysis and understanding. We present OpenFace-an open source tool intended for …

Text-to-Image (T2I) generation is enabling new applications that support creators, designers,
and general end users of productivity software by generating illustrative content with high …

Facial micro-expressions indicate brief and subtle facial movements that appear during
emotional communication. In comparison to macro-expressions, micro-expressions are …

Early detection of visual impairment is crucial but is frequently missed in young children,
who are capable of only limited cooperation with standard vision tests. Although certain …

In this paper we propose to learn a mapping from image pixels into a dense template grid
through a fully convolutional network. We formulate this task as a regression problem and …

Emerging technologies support a new era of applied wildlife research, generating data on
scales from individuals to populations. Computer vision methods can process large datasets …

Eye tracking is prevalent in scientific and commercial applications. Recent computer vision
and deep learning methods enable eye tracking with off-the-shelf webcams and reduce …

With the advent of Internet and opportunities in e-commerce, a visual perception oriented
cyber-attack so-called phishing has become one of the tremendous problems of the cyber …

Automated facial expression recognition can greatly improve the human-machine interface.
The machine can provide better and more personalized services when it knows the human's …