research
∙
08/29/2023
Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation
Federated learning (FL) emerges as a decentralized learning framework wh...
share
research
∙
11/29/2022
Generalized Face Anti-Spoofing via Multi-Task Learning and One-Side Meta Triplet Loss
With the increasing variations of face presentation attacks, model gener...
research
∙
11/28/2022
MixFairFace: Towards Ultimate Fairness via MixFair Adapter in Face Recognition
Although significant progress has been made in face recognition, demogra...
research
∙
03/27/2022
Local-Adaptive Face Recognition via Graph-based Meta-Clustering and Regularized Adaptation
Due to the rising concern of data privacy, it's reasonable to assume the...
research
∙
03/27/2022
PatchNet: A Simple Face Anti-Spoofing Framework via Fine-Grained Patch Recognition
Face anti-spoofing (FAS) plays a critical role in securing face recognit...
research
∙
12/23/2021
FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition
Current state-of-the-art deep learning based face recognition (FR) model...
research
∙
12/22/2021
High-Accuracy RGB-D Face Recognition via Segmentation-Aware Face Depth Estimation and Mask-Guided Attention Network
Deep learning approaches have achieved highly accurate face recognition ...
research
∙
10/18/2021
Disentangled Representation with Dual-stage Feature Learning for Face Anti-spoofing
As face recognition is widely used in diverse security-critical applicat...
research
∙
08/11/2020