Yuge Huang

Orcid: 0000-0001-5387-5992

According to our database1, Yuge Huang authored at least 17 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Privacy-Preserving Face Recognition Using Trainable Feature Subtraction.
CoRR, 2024

2023
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

2022
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

2021
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

Graph Game Embedding.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
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

2018
Multitask convolutional neural network for no-reference image quality assessment.
J. Electronic Imaging, 2018


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