AIMC Topic: Face

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Continuous automated analysis of facial dynamics of brachycephalic and normocephalic dogs in different contexts.

BMC veterinary research
This study develops a novel automated method for measuring continuous dynamics of dog facial behavior based on video-based tracking of 46 facial landmarks grounded in the Dog Facial Action Coding System. This method is applied for comparing the facia...

ReactDiff: Latent Diffusion for Facial Reaction Generation.

Neural networks : the official journal of the International Neural Network Society
Given the audio-visual clip of the speaker, facial reaction generation aims to predict the listener's facial reactions. The challenge lies in capturing the relevance between video and audio while balancing appropriateness, realism, and diversity. Whi...

A generative adversarial network-based accurate masked face recognition model using dual scale adaptive efficient attention network.

Scientific reports
Masked identification of faces is necessary for authentication purposes. Face masks are frequently utilized in a wide range of professions and sectors including public safety, health care, schooling, catering services, production, sales, and shipping...

Video-Based Multiphysiological Disentanglement and Remote Robust Estimation for Respiration.

IEEE transactions on neural networks and learning systems
Remote noncontact respiratory rate estimation by facial visual information has great research significance, providing valuable priors for health monitoring, clinical diagnosis, and anti-fraud. However, existing studies suffer from disturbances in epi...

AI-generated faces influence gender stereotypes and racial homogenization.

Scientific reports
Text-to-image generative AI models such as Stable Diffusion are used daily by millions worldwide. However, the extent to which these models exhibit racial and gender stereotypes is not yet fully understood. Here, we document significant biases in Sta...

Facial surgery preview based on the orthognathic treatment prediction.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Orthognathic surgery consultations are essential for helping patients understand how their facial appearance may change after surgery. However, current visualization methods are often inefficient and inaccurate due to limite...

A deep learning-based ensemble for autism spectrum disorder diagnosis using facial images.

PloS one
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder leading to an inability to socially communicate and in extreme cases individuals are completely dependent on caregivers. ASD detection at early ages is crucial as early detection can red...

Acromegaly facial changes analysis using last generation artificial intelligence methodology: the AcroFace system.

Pituitary
PURPOSE: To describe the development of the AcroFace system, an AI-based system for early detection of acromegaly, based on facial photographs analysis.

Enhancing neurological disease diagnostics: fusion of deep transfer learning with optimization algorithm for acute brain stroke prediction using facial images.

Scientific reports
Stroke is a main risk to life and fitness in current society, particularly in the aging population. Also, the stroke is recognized as a cerebrovascular accident. It contains a nervous illness, which can result from haemorrhage or ischemia of the brai...

Comparative analysis of deep learning architectures for thyroid eye disease detection using facial photographs.

BMC ophthalmology
PURPOSE: To compare two artificial intelligence (AI) models, residual neural networks ResNet-50 and ResNet-101, for screening thyroid eye disease (TED) using frontal face photographs, and to test these models under clinical conditions.