activity
20172022
most citedPFA-GAN: Progressive Face Aging with Generative Adversarial Network

62 citations · 192 across the 15 of their papers we have counts for

collaborators

34 papers

cs.CV202262 cited

When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework and A New Benchmark

Zhizhong Huang, Junping Zhang, Hongming Shan

To minimize the impact of age variation on face recognition, age-invariant face recognition (AIFR) extracts identity-related discriminative features by minimizing the correlation b…

eess.IV20223 cited

Convolutional Neural Network to Restore Low-Dose Digital Breast Tomosynthesis Projections in a Variance Stabilization Domain

Rodrigo de Barros Vimieiro, Chuang Niu, Hongming Shan +3

Digital breast tomosynthesis (DBT) exams should utilize the lowest possible radiation dose while maintaining sufficiently good image quality for accurate medical diagnosis. In this…

cs.CV2021

AgeFlow: Conditional Age Progression and Regression with Normalizing Flows

Zhizhong Huang, Shouzhen Chen, Junping Zhang +1

Age progression and regression aim to synthesize photorealistic appearance of a given face image with aging and rejuvenation effects, respectively. Existing generative adversarial…

cs.CV2021

SelfGait: A Spatiotemporal Representation Learning Method for Self-supervised Gait Recognition

Yiqun Liu, Yi Zeng, Jian Pu +3

Gait recognition plays a vital role in human identification since gait is a unique biometric feature that can be perceived at a distance. Although existing gait recognition methods…

cs.CV20216 cited

When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework

Zhizhong Huang, Junping Zhang, Hongming Shan

To minimize the effects of age variation in face recognition, previous work either extracts identity-related discriminative features by minimizing the correlation between identity-…

cs.CV2021

RoutingGAN: Routing Age Progression and Regression with Disentangled Learning

Zhizhong Huang, Junping Zhang, Hongming Shan

Although impressive results have been achieved for age progression and regression, there remain two major issues in generative adversarial networks (GANs)-based methods: 1) conditi…