activity
20202024
most citedDomain Generalization for Medical Imaging Classification with Linear-Dependency Regularization

82 citations · 135 across the 8 of their papers we have counts for

collaborators

7 papers

cs.AI202337 cited

Robust Domain Misinformation Detection via Multi-modal Feature Alignment

Hui Liu, Wenya Wang, Hao Sun +2

Social media misinformation harms individuals and societies and is potentialized by fast-growing multi-modal content (i.e., texts and images), which accounts for higher "credibilit…

cs.CV20223 cited

Digital and Physical Face Attacks: Reviewing and One Step Further

Chenqi Kong, Shiqi Wang, Haoliang Li

With the rapid progress over the past five years, face authentication has become the most pervasive biometric recognition method. Thanks to the high-accuracy recognition performanc…

cs.CV2022

One-Class Knowledge Distillation for Face Presentation Attack Detection

Zhi Li, Rizhao Cai, Haoliang Li +3

Face presentation attack detection (PAD) has been extensively studied by research communities to enhance the security of face recognition systems. Although existing methods have ac…

cs.CV2021

Asymmetric Modality Translation For Face Presentation Attack Detection

Zhi Li, Haoliang Li, Xin Luo +3

Face presentation attack detection (PAD) is an essential measure to protect face recognition systems from being spoofed by malicious users and has attracted great attention from bo…

cs.CV2021

Camera Invariant Feature Learning for Generalized Face Anti-spoofing

Baoliang Chen, Wenhan Yang, Haoliang Li +2

There has been an increasing consensus in learning based face anti-spoofing that the divergence in terms of camera models is causing a large domain gap in real application scenario…

cs.CV202082 cited

Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization

Haoliang Li, YuFei Wang, Renjie Wan +3

Recently, we have witnessed great progress in the field of medical imaging classification by adopting deep neural networks. However, the recent advanced models still require access…