Soft biometrics: A survey: Benchmark analysis, open challenges and recommendations
B Hassan, E Izquierdo, T Piatrik - Multimedia Tools and Applications, 2021 - Springer
The field of biometrics research encompasses the need to associate an identity to an
individual based on the persons physiological or behaviour traits. While the use of intrusive …
individual based on the persons physiological or behaviour traits. While the use of intrusive …
Age from faces in the deep learning revolution
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 …
gender and ethnicity recognition, just to name the most common ones; in the last two …
Fast learning method for convolutional neural networks using extreme learning machine and its application to lane detection
Deep learning has received significant attention recently as a promising solution to many
problems in the area of artificial intelligence. Among several deep learning architectures …
problems in the area of artificial intelligence. Among several deep learning architectures …
Faceposenet: Making a case for landmark-free face alignment
We show how a simple convolutional neural network (CNN) can be trained to accurately and
robustly regress 6 degrees of freedom (6DoF) 3D head pose, directly from image intensities …
robustly regress 6 degrees of freedom (6DoF) 3D head pose, directly from image intensities …
Fine-grained age estimation in the wild with attention LSTM networks
Age estimation from a single face image has been an essential task in the field of human-
computer interaction and computer vision, which has a wide range of practical application …
computer interaction and computer vision, which has a wide range of practical application …
An ensemble CNN2ELM for age estimation
Age estimation is a challenging task, because it can be easily affected by gender, race, and
other intrinsic and extrinsic attributes. At the same time, performing age estimation for a …
other intrinsic and extrinsic attributes. At the same time, performing age estimation for a …
Efficient group-n encoding and decoding for facial age estimation
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 …
slow and extremely non-stationary process with much randomness. To explore the …
[HTML][HTML] Deep learning approach for facial age classification: a survey of the state-of-the-art
O Agbo-Ajala, S Viriri - Artificial Intelligence Review, 2021 - Springer
Age estimation using face images is an exciting and challenging task. The traits from the
face images are used to determine age, gender, ethnic background, and emotion of people …
face images are used to determine age, gender, ethnic background, and emotion of people …
Efficient and effective strategies for cross-corpus acoustic emotion recognition
An important research direction in speech technology is robust cross-corpus and cross-
language emotion recognition. In this paper, we propose computationally efficient and …
language emotion recognition. In this paper, we propose computationally efficient and …
A multimodal approach for mania level prediction in bipolar disorder
Bipolar disorder is a mental health disorder that causes mood swings that range from
depression to mania. Clinical diagnosis of bipolar disorder is based on patient interviews …
depression to mania. Clinical diagnosis of bipolar disorder is based on patient interviews …