2 citations · 6 across the 10 of their papers we have counts for
10 papers
Beyond First-Order: A Multi-Scale Approach to Finger Knuckle Print Biometrics
Chengrui Gao, Ziyuan Yang, Andrew Beng Jin Teoh +1
Recently, finger knuckle prints (FKPs) have gained attention due to their rich textural patterns, positioning them as a promising biometric for identity recognition. Prior FKP reco…
Dynamically Expanding Capacity of Autonomous Driving with Near-Miss Focused Training Framework
Ziyuan Yang, Zhaoyang Li, Jianming Hu +1
The long-tail distribution of real driving data poses challenges for training and testing autonomous vehicles (AV), where rare yet crucial safety-critical scenarios are infrequent.…
Plaintext-Free Deep Learning for Privacy-Preserving Medical Image Analysis via Frequency Information Embedding
Mengyu Sun, Ziyuan Yang, Maosong Ran +3
In the fast-evolving field of medical image analysis, Deep Learning (DL)-based methods have achieved tremendous success. However, these methods require plaintext data for training…
Energizing Federated Learning via Filter-Aware Attention
Ziyuan Yang, Zerui Shao, Huijie Huangfu +5
Federated learning (FL) is a promising distributed paradigm, eliminating the need for data sharing but facing challenges from data heterogeneity. Personalized parameter generation…
SynFacePAD 2023: Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data
Meiling Fang, Marco Huber, Julian Fierrez +21
This paper presents a summary of the Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data (SynFacePAD 2023) held at the 2023 Internation…
Privacy-Preserving Encrypted Low-Dose CT Denoising
Ziyuan Yang, Huijie Huangfu, Maosong Ran +3
Deep learning (DL) has made significant advancements in tomographic imaging, particularly in low-dose computed tomography (LDCT) denoising. A recent trend involves servers training…