When age-invariant face recognition meets face age synthesis: A multi-task learning framework

Z Huang, J Zhang, H Shan - … of the IEEE/CVF conference on …, 2021 - openaccess.thecvf.com
To minimize the effects of age variation in face recognition, previous work either extracts
identity-related discriminative features by minimizing the correlation between identity-and …

Individualized fMRI connectivity defines signatures of antidepressant and placebo responses in major depression

K Zhao, H **e, GA Fonzo, X Tong, N Carlisle… - Molecular …, 2023 - nature.com
Though sertraline is commonly prescribed in patients with major depressive disorder (MDD),
its superiority over placebo is only marginal. This is in part due to the neurobiological …

Individuality-and commonality-based multiview multilabel learning

Q Tan, G Yu, J Wang, C Domeniconi… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
In multiview multilabel learning, each object is represented by several heterogeneous
feature representations and is also annotated with a set of discrete nonexclusive labels …

A Survey: Approaches to facial detection and recognition with machine learning techniques

P Singhal, PK Srivastava, AK Tiwari… - Proceedings of Second …, 2022 - Springer
The present scenario in biometrics is very complex and challenging to classify the facial
recognition and authentication. This article described a detailed review on machine …

Disentangled representation for age-invariant face recognition: A mutual information minimization perspective

X Hou, Y Li, S Wang - Proceedings of the IEEE/CVF …, 2021 - openaccess.thecvf.com
General face recognition has seen remarkable progress in recent years. However, large age
gap still remains a big challenge due to significant alterations in facial appearance and bone …

Multiview multi-instance multilabel active learning

G Yu, Y **ng, J Wang, C Domeniconi… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Multiview multi-instance multilabel learning (M3L) is a framework for modeling complex
objects. In this framework, each object (or bag) contains one or more instances, is …

Comparative analysis of machine learning based approaches for face detection and recognition

R Kumar Shukla, A Kumar Tiwari - Journal of Information Technology …, 2021 - jitm.ut.ac.ir
This article discusses a device focused on images that enables users to recognise and
detect many face-related features using the webcam. In this article, we are performing …

Hierarchical face aging through disentangled latent characteristics

P Li, H Huang, Y Hu, X Wu, R He, Z Sun - … 28, 2020, Proceedings, Part III 16, 2020 - Springer
Current age datasets lie in a long-tailed distribution, which brings difficulties to describe the
aging mechanism for the imbalance ages. To alleviate it, we design a novel facial age prior …

Consistent and specific multi-view multi-label learning with correlation information

Y Li, J Zhang, H Wu, G Du, J Long - Information Sciences, 2025 - Elsevier
In multi-view multi-label (MVML) learning, each sample is represented by several
heterogeneous distinct feature representations while associated with a set of class labels …

Constructing an automatic diagnosis and severity-classification model for acromegaly using facial photographs by deep learning

Y Kong, X Kong, C He, C Liu, L Wang, L Su… - Journal of Hematology & …, 2020 - Springer
Due to acromegaly's insidious onset and slow progression, its diagnosis is usually delayed,
thus causing severe complications and treatment difficulty. A convenient screening method …