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20182025
most citedMulti-Domain Adversarial Feature Generalization for Person Re-Identification

72 citations · 184 across the 13 of their papers we have counts for

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10 papers · 1 filter

cs.CV2025

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…

cs.CV2024★ 1 cited

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…

cs.CV2022

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…

cs.CV2021★ 56 cited

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…

cs.CV2021★ 4 cited

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…

cs.CV2020★ 72 cited

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…

cs.CV2020★ 17 cited

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…

cs.CV2019★ 4 cited

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…

cs.CV2018★ 1 cited

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…

cs.CV2018★ 28 cited

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…