Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Age estimation in facial images using histogram equalization
Age estimation using a hierarchical classifier based on global and local facial features
Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face Recognition
Face Aging With Boundary Equilibrium Conditional Autoencoder
Enhanced independent spectral histogram representations in face recognition
VGGFace2: A Dataset for Recognising Faces across Pose and Age
Diagnosing deep learning models for high accuracy age estimation from a single image
Age-Invariant Face Recognition
An Ensemble CNN2ELM for Age Estimation
Image enhancement based on equal area dualistic sub-image histogram equalization method
Face Aging Effect Simulation Using Hidden Factor Analysis Joint Sparse Representation
Automatic system for facial expression recognition based histogram of oriented gradient and normalized cross correlation
Deep Age Estimation: From Classification to Ranking
Human Age Estimation With Regression on Discriminative Aging Manifold
Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database
Image Analysis for Face Recognition
Automatic age estimation based on deep learning algorithm
Human Face Detection and Tracking for Age Rank, Weight and Gender Estimation based on Face Images using Raspberry Pi Processor
Effective training of convolutional neural networks for face-based gender and age prediction
Age and gender-based human face reconstruction from single frontal image
Review on the effects of age, gender, and race demographics on automatic face recognition
Process planning and offline programming for robotic remote laser welding systems
Dynamic and Robust Wildfire Risk Prediction System: An Unsupervised Approach
Content-Based Audio Classification and Retrieval by Support Vector Machines
Exploring the Semantic Gap for Movie Recommendations
Ultrasonography Diagnosis and Imaging-Based Management of Thyroid Nodules: Revised Korean Society of Thyroid Radiology Consensus Statement and Recommendations