10 citations · 18 across the 6 of their papers we have counts for
6 papers
Generalized Face Anti-Spoofing via Multi-Task Learning and One-Side Meta Triplet Loss
Chu-Chun Chuang, Chien-Yi Wang, Shang-Hong Lai
With the increasing variations of face presentation attacks, model generalization becomes an essential challenge for a practical face anti-spoofing system. This paper presents a ge…
MixFairFace: Towards Ultimate Fairness via MixFair Adapter in Face Recognition
Fu-En Wang, Chien-Yi Wang, Min Sun +1
Although significant progress has been made in face recognition, demographic bias still exists in face recognition systems. For instance, it usually happens that the face recogniti…
Local-Adaptive Face Recognition via Graph-based Meta-Clustering and Regularized Adaptation
Wenbin Zhu, Chien-Yi Wang, Kuan-Lun Tseng +2
Due to the rising concern of data privacy, it's reasonable to assume the local client data can't be transferred to a centralized server, nor their associated identity label is prov…
PatchNet: A Simple Face Anti-Spoofing Framework via Fine-Grained Patch Recognition
Chien-Yi Wang, Yu-Ding Lu, Shang-Ta Yang +1
Face anti-spoofing (FAS) plays a critical role in securing face recognition systems from different presentation attacks. Previous works leverage auxiliary pixel-level supervision a…
Disentangled Representation with Dual-stage Feature Learning for Face Anti-spoofing
Yu-Chun Wang, Chien-Yi Wang, Shang-Hong Lai
As face recognition is widely used in diverse security-critical applications, the study of face anti-spoofing (FAS) has attracted more and more attention. Several FAS methods have…
Unified Representation Learning for Cross Model Compatibility
Chien-Yi Wang, Ya-Liang Chang, Shang-Ta Yang +2
We propose a unified representation learning framework to address the Cross Model Compatibility (CMC) problem in the context of visual search applications. Cross compatibility betw…