Pei-Kai Huang

Orcid: 0000-0002-5198-5386

According to our database1, Pei-Kai Huang authored at least 18 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2026
Fully test-time rPPG estimation via synthetic signal-guided feature learning.
Pattern Recognit., 2026

2025
Multi-Modal Face Anti-Spoofing via Cross-Modal Feature Transitions.
CoRR, July, 2025

Towards Accurate Heart Rate Measurement from Ultra-Short Video Clips via Periodicity-Guided rPPG Estimation and Signal Reconstruction.
CoRR, June, 2025

Enhancing Learnable Descriptive Convolutional Vision Transformer for Face Anti-Spoofing.
CoRR, March, 2025

Unsupervised Feature Disentanglement and Augmentation Network for One-class Face Anti-spoofing.
CoRR, March, 2025

DD-rPPGNet: De-Interfering and Descriptive Feature Learning for Unsupervised rPPG Estimation.
IEEE Trans. Inf. Forensics Secur., 2025

Channel difference transformer for face anti-spoofing.
Inf. Sci., 2025

Real-Time Defect Detection for Fast-Moving Fabrics on Circular Knitting Machine Under Various Illumination Conditions.
IEEE Access, 2025

SLIP: Spoof-Aware One-Class Face Anti-Spoofing with Language Image Pretraining.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Fully Test-Time rPPG Estimation via Synthetic Signal-Guided Feature Learning.
CoRR, 2024

One-Class Face Anti-Spoofing via Spoof Cue Map-Guided Feature Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Towards Diverse Liveness Feature Representation and Domain Expansion for Cross-Domain Face Anti-Spoofing.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

LDCformer: Incorporating Learnable Descriptive Convolution to Vision Transformer for Face Anti-Spoofing.
Proceedings of the IEEE International Conference on Image Processing, 2023

Single-Domain Generalization for Semantic Segmentation Via Dual-Level Domain Augmentation.
Proceedings of the IEEE International Conference on Image Processing, 2023

Test-Time Adaptation for Robust Face Anti-Spoofing.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022
Learning to Augment Face Presentation Attack Dataset via Disentangled Feature Learning from Limited Spoof Data.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Learnable Descriptive Convolutional Network for Face Anti-Spoofing.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Face Anti-spoofing via Robust Auxiliary Estimation and Discriminative Feature Learning.
Proceedings of the Pattern Recognition - 6th Asian Conference, 2021


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