72 citations · 184 across the 13 of their papers we have counts for
13 papers
From Age Estimation to Age-Invariant Face Recognition: Generalized Age Feature Extraction Using Order-Enhanced Contrastive Learning
Haoyi Wang, Victor Sanchez, Chang-Tsun Li +1
Generalized age feature extraction is crucial for age-related facial analysis tasks, such as age estimation and age-invariant face recognition (AIFR). Despite the recent successes…
Cross-Age Contrastive Learning for Age-Invariant Face Recognition
Haoyi Wang, Victor Sanchez, Chang-Tsun Li
Cross-age facial images are typically challenging and expensive to collect, making noise-free age-oriented datasets relatively small compared to widely-used large-scale facial data…
Deepfake Detection via Joint Unsupervised Reconstruction and Supervised Classification
Bosheng Yan, Chang-Tsun Li, Xuequan Lu
Deep learning has enabled realistic face manipulation (i.e., deepfake), which poses significant concerns over the integrity of the media in circulation. Most existing deep learning…
Improving Face-Based Age Estimation with Attention-Based Dynamic Patch Fusion
Haoyi Wang, Victor Sanchez, Chang-Tsun Li
With the increasing popularity of convolutional neural networks (CNNs), recent works on face-based age estimation employ these networks as the backbone. However, state-of-the-art C…
DeepfakeUCL: Deepfake Detection via Unsupervised Contrastive Learning
Sheldon Fung, Xuequan Lu, Chao Zhang +1
Face deepfake detection has seen impressive results recently. Nearly all existing deep learning techniques for face deepfake detection are fully supervised and require labels durin…
Multi-Domain Adversarial Feature Generalization for Person Re-Identification
Shan Lin, Chang-Tsun Li, Alex C. Kot
With the assistance of sophisticated training methods applied to single labeled datasets, the performance of fully-supervised person re-identification (Person Re-ID) has been impro…
Age-Oriented Face Synthesis with Conditional Discriminator Pool and Adversarial Triplet Loss
Haoyi Wang, Victor Sanchez, Chang-Tsun Li
The vanilla Generative Adversarial Networks (GAN) are commonly used to generate realistic images depicting aged and rejuvenated faces. However, the performance of such vanilla GANs…
On Addressing the Impact of ISO Speed upon PRNU and Forgery Detection
Yijun Quan, Chang-Tsun Li
Photo Response Non-Uniformity (PRNU) has been used as a powerful device fingerprint for image forgery detection because image forgeries can be revealed by finding the absence of th…
Atypical Facial Landmark Localisation with Stacked Hourglass Networks: A Study on 3D Facial Modelling for Medical Diagnosis
Gary Storey, Ahmed Bouridane, Richard Jiang +1
While facial biometrics has been widely used for identification purpose, it has recently been researched as medical biometrics for a range of diseases. In this chapter, we investig…
3DPalsyNet: A Facial Palsy Grading and Motion Recognition Framework using Fully 3D Convolutional Neural Networks
Gary Storey, Richard Jiang, Shelagh Keogh +2
The capability to perform facial analysis from video sequences has significant potential to positively impact in many areas of life. One such area relates to the medical domain to…
Homogeneous Feature Transfer and Heterogeneous Location Fine-tuning for Cross-City Property Appraisal Framework
Yihan Guo, Shan Lin, Xiao Ma +2
Most existing real estate appraisal methods focus on building accuracy and reliable models from a given dataset but pay little attention to the extensibility of their trained model…
Fusion Network for Face-based Age Estimation
Haoyi Wang, Xingjie Wei, Victor Sanchez +1
Convolutional Neural Networks (CNN) have been applied to age-related research as the core framework. Although faces are composed of numerous facial attributes, most works with CNNs…
Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification
Shan Lin, Haoliang Li, Chang-Tsun Li +1
Most existing person re-identification (Re-ID) approaches follow a supervised learning framework, in which a large number of labelled matching pairs are required for training. Such…