This repository provides a list a list of publications from DASHLab about FaceRecogRecovery.
Our published papers that related to recognize faces.
2023: KappaFace: Adaptive Additive Angular Margin Loss for Deep Face Recognition accepted by IEEE Access. [paper]
2023: S-ViT: Sparse Vision Transformer for Accurate Face Recognition accepted by ACM/SIGAPP SAC. [paper]
2022: Am I a Real or Fake Celebrity? Evaluating Face Recognition and Verification APIs under Deepfake Impersonation Attack accepted by WWW. [paper]
Our published papers that related to facial security methods.
2024: Blind-Match: Efficient Homomorphic Encryption-Based 1:N Matching for Privacy-Preserving Biometric Identification accepted by CIKM. [paper]
2024: Gradient Alignment for Cross-Domain Face Anti-Spoofing accepted by CVPR [paper]
Our published papers that related to improve or generate facial features.
2024: EAE-GAN: Emotion-Aware Emoji Generative Adversarial Network for Computationally Modeling Diverse and Fine-Grained Human Emotionsaccepted by IEEE Transactions on Computational Social Systems. [paper]
2023: A-ColViT : Real-time Interactive Colorization by Adaptive Vision Transformer accepted by AAAI workshop. [paper]
2022: Evading Deepfake Detectors via High-Quality Face Pre-Processing Methods accepted by ICPR. [paper]
2022: Deep Learning Algorithm for Postmortem Face Reconstruction (딥러닝 기술을 활용한 사후 시신 얼굴 복원) accepted by 제29회 대한기초의학 학술대회 (대한법의학회) 우수포스터상.
Our published papers that related to face bias.
2023: Evaluating Racial Bias in Face Recognition APIs using Deepfakes accepted by IEEE Computer Magazine. [paper]
2022: A2: Adaptive Augmentation for Mitigating Dataset Bias accepted by ACCV2022. [paper]