Face recognition and analysis

Evaluating performance bias in face-to-BMI vision transformer models across diverse human populations

This study evaluates how face-to-BMI Vision Transformer models perform across diverse human populations, finding that training on population-specific data improves accuracy, while global training data enhances performance in underrepresented groups.

Cheese3D: Sensitive Detection and Analysis of Whole-Face Movement in Mice

Cheese3D detects and analyzes whole-face movements in mice with high precision, providing insights into physiological and neural states through 3D motion data.

Improving face age prediction by using multiple-angle photos

This study improves face age prediction by using multiple-angle photos, showing that combining front and side views enhances accuracy compared to single-view models.

UniFacePoint-FM: A Foundation Model for Generalizable 3D Facial Representation Learning and Multi-Attribute Prediction

UniFacePoint-FM is a 3D facial foundation model that achieves state-of-the-art performance in gender classification, age regression, BMI prediction, and facial expression recognition.

Efficient task generalization and humanlike face perception in models that learn to discriminate face geometry

This paper shows that training DNNs on face geometry and emotion improves generalization to new face tasks with fewer samples than standard models.

3D markerless tracking of speech movements with submillimeter accuracy

This paper develops a markerless 3D tracking system for speech movements with submillimeter accuracy, validated across adults and young children.

PrimateFace: A Machine Learning Resource for Automated Face Analysis in Human and Non-human Primates

260,000+ primate images from 60+ genera with face boxes and 48/68-point landmarks; detectors and landmark models trained on them work across primates and approach human-trained baselines on human faces.

Face photo-based age acceleration predicts all-cause mortality and differs among occupations

The paper uses face photos to predict mortality and shows that occupation affects age acceleration, with sports being the slowest aging occupation.

AI-Driven System for Large-Scale Automated Collection of Mouse Profile Images

The paper develops an AI system for automated mouse facial image collection and sex determination, achieving 100% accuracy in classification.

GestaltMatcher Database - A global reference for facial phenotypic variability in rare human diseases

The paper introduces the GestaltMatcher Database (GMDB), a global facial phenotypic reference for rare diseases, showing improved NGP performance with diverse ancestry data.

Comparing facial feature extraction methods in the diagnosis of rare genetic syndromes

This paper compares three facial feature extraction methods for diagnosing genetic disorders, finding that VGGFace2 provides the best performance with 0.78 accuracy.

Neural networks for classification and image generation of aging in genetic syndromes

This paper develops a neural network classifier to diagnose genetic syndromes from facial images across different age groups, showing improved accuracy over clinical geneticists.

High-sensitivity detection of facial features on MRI brain scans with a convolutional network

The paper introduces a convolutional neural network to detect defaced facial features in MRI brain scans, achieving high accuracy and sensitivity using data augmentation.

Real Time Face Recognition with limited training data: Feature Transfer Learning integrating CNN and Sparse Approximation

The paper proposes a feature transfer learning approach combining CNN and sparse approximation for face recognition with limited training data, achieving high accuracy on the LFW dataset.

A Method for the Automatic Normalization and 3D Facial Mesh Extraction from Head Magnetic Resonance Imaging

This paper presents an automatic method to normalize and extract 3D facial meshes from head MRI scans, achieving high accuracy in orientation, alignment, and noise removal.