Face analysis includes a variety of specific problems as face detection, person identification,
gender and ethnicity recognition, just to name the most common ones; in the last two …

Facial features are considered as one of the important personal characteristics. This can be
used in many applications, such as face recognition and age estimation. The value of these …

Abstract Convolutional Neural Networks (CNNs) have been proven very effective for human
demographics estimation by a number of recent studies. However, the proposed solutions …

The biometric information contained in a face image is affected by many factors such as
living environment, racial differences, and genetic diversity, this complexity leads to the …

番茄同种病害在不同发病阶段表征差异明显, 不同病害又表现出一定的相似性,
传统模式识别方法不能体现病害病理表征的动态变化, 实用性较差. 针对该问题 …

Different ages are closely related especially among the adjacent ages because aging is a
slow and extremely non-stationary process with much randomness. To explore the …

In this paper, we propose a group-aware deep feature learning (GA-DFL) approach for facial
age estimation. Unlike most existing methods which utilize hand-crafted descriptors for face …

We introduce a novel approach for annotating large quantity of in-the-wild facial images with
high-quality posterior age distribution as labels. Each posterior provides a probability …

Abstract Automatic Age Estimation (AAE) has attracted attention due to the wide variety of
possible applications. However, it is a challenging task because of the large variation of …

This work describes our solution in the second edition of the ChaLearn LAP competition on
Apparent Age Estimation. We train VGG-16 convolutional neural network on the huge IMDB …