activity
20202024
most citedFace Anti-Spoofing by Learning Polarization Cues in a Real-World Scenario

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Rethinking Class-Incremental Learning from a Dynamic Imbalanced Learning Perspective

Leyuan Wang, Liuyu Xiang, Yunlong Wang +2

Deep neural networks suffer from catastrophic forgetting when continually learning new concepts. In this paper, we analyze this problem from a data imbalance point of view. We argu…

cs.CV2024

CLIP model is an Efficient Online Lifelong Learner

Leyuan Wang, Liuyu Xiang, Yujie Wei +2

Online Lifelong Learning (OLL) addresses the challenge of learning from continuous and non-stationary data streams. Existing online lifelong learning methods based on image classif…

cs.CV2021

An End-to-End Autofocus Camera for Iris on the Move

Leyuan Wang, Kunbo Zhang, Yunlong Wang +1

For distant iris recognition, a long focal length lens is generally used to ensure the resolution ofiris images, which reduces the depth of field and leads to potential defocus blu…

eess.IV2020

Recognition Oriented Iris Image Quality Assessment in the Feature Space

Leyuan Wang, Kunbo Zhang, Min Ren +2

A large portion of iris images captured in real world scenarios are poor quality due to the uncontrolled environment and the non-cooperative subject. To ensure that the recognition…

cs.CV2020★ 2 cited

Face Anti-Spoofing by Learning Polarization Cues in a Real-World Scenario

Yu Tian, Kunbo Zhang, Leyuan Wang +1

Face anti-spoofing is the key to preventing security breaches in biometric recognition applications. Existing software-based and hardware-based face liveness detection methods are…