Data Synthesis with Diverse Styles for Face Recognition via 3DMM-Guided Diffusion.
CoRR, April, 2025
UIFace: Unleashing Inherent Model Capabilities to Enhance Intra-Class Diversity in Synthetic Face Recognition.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
SlerpFace: Face Template Protection via Spherical Linear Interpolation.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
ID<sup>3</sup>: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition.
CoRR, 2024
ID<sup>3</sup>: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition.
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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Privacy-Preserving Face Recognition Using Trainable Feature Subtraction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Privacy-Preserving Face Recognition Using Random Frequency Components.
CoRR, 2023
Privacy-Preserving Face Recognition Using Random Frequency Components.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
DuetFace: Collaborative Privacy-Preserving Face Recognition via Channel Splitting in the Frequency Domain.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain.
Proceedings of the Computer Vision - ECCV 2022, 2022
Evaluation-oriented Knowledge Distillation for Deep Face Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Adaptive Feature Alignment for Adversarial Training.
CoRR, 2021
Scribble-Supervised Semantic Segmentation Inference.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Wasserstein Coupled Graph Learning for Cross-Modal Retrieval.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Consistent Instance False Positive Improves Fairness in Face Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
SDD-FIQA: Unsupervised Face Image Quality Assessment With Similarity Distribution Distance.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Distribution Distillation Loss: Generic Approach for Improving Face Recognition from Hard Samples.
CoRR, 2020
Improving Face Recognition from Hard Samples via Distribution Distillation Loss.
Proceedings of the Computer Vision - ECCV 2020, 2020
CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
FAN: Feature Adaptation Network for Surveillance Face Recognition and Normalization.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020
Multitask convolutional neural network for no-reference image quality assessment.
J. Electronic Imaging, 2018