Cycling near misses: a review of the current methods, challenges and the potential of an AI-embedded system
Whether for commuting or leisure, cycling is a growing transport mode in many countries.
However, cycling is still perceived by many as a dangerous activity. Because the mode …
However, cycling is still perceived by many as a dangerous activity. Because the mode …
Age, gender, and fine-grained ethnicity prediction using convolutional neural networks for the East Asian face dataset
This paper explores the difficulty of performing automatic demographic prediction on the
East Asian population. We introduce the Wild East Asian Face Dataset (WEAFD), a new and …
East Asian population. We introduce the Wild East Asian Face Dataset (WEAFD), a new and …
On the effect of observed subject biases in apparent personality analysis from audio-visual signals
Personality perception is implicitly biased due to many subjective factors, such as cultural,
social, contextual, gender, and appearance. Approaches developed for automatic …
social, contextual, gender, and appearance. Approaches developed for automatic …
[HTML][HTML] Race estimation with deep networks
Identifying race, which is a major physical feature in humans, is still a challenging task owing
much to the lack of a concrete definition of race and the diversity of population across the …
much to the lack of a concrete definition of race and the diversity of population across the …
Recognizing human races through machine learning—a multi-network, multi-features study
The human face holds a privileged position in multi-disciplinary research as it conveys much
information—demographical attributes (age, race, gender, ethnicity), social signals, emotion …
information—demographical attributes (age, race, gender, ethnicity), social signals, emotion …
One Embedding to Predict Them All: Visible and Thermal Universal Face Representations for Soft Biometric Estimation via Vision Transformers
Human faces encode a vast amount of information including not only uniquely distinctive
features of the individual but also demographic information such as a person's age gender …
features of the individual but also demographic information such as a person's age gender …
[كتاب][B] Not my type: Automating sexual racism in online dating
A Williams - 2024 - books.google.com
In the world of online dating, race-based discrimination is not only tolerated, but encouraged
as part of a pervasive belief that it is simply a neutral, personal choice about one's romantic …
as part of a pervasive belief that it is simply a neutral, personal choice about one's romantic …
Computational intelligence for information security: A survey
Information security is the set of processes that protect information away from unauthorized
access, disclosure, replication, modification, or destruction. Recently, more and more real …
access, disclosure, replication, modification, or destruction. Recently, more and more real …
Toward robust facial authentication for low-power edge-AI consumer devices
Robust authentication for low-power consumer devices without a keyboard remains a
challenge. The recent availability of low-power neural accelerator hardware, combined with …
challenge. The recent availability of low-power neural accelerator hardware, combined with …
Race classification from face using deep convolutional neural networks
X Wu, P Yuan, T Wang, D Gao… - 2018 3rd International …, 2018 - ieeexplore.ieee.org
As a basic and key attribute of human beings, race plays an indispensable role in face
analysis. Traditional machine learning methods all tackle the problem of race classification …
analysis. Traditional machine learning methods all tackle the problem of race classification …