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2020 – today
- 2024
[c14]Yuxi Mi, Zhizhou Zhong, Yuge Huang, Jiazhen Ji, Jianqing Xu, Jun Wang, Shaoming Wang, Shouhong Ding, Shuigeng Zhou:
Privacy-Preserving Face Recognition Using Trainable Feature Subtraction. CVPR 2024: 297-307- [c13]Ivan DeAndres-Tame, Ruben Tolosana, Pietro Melzi, Rubén Vera-Rodríguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Zhizhou Zhong, Yuge Huang, Yuxi Mi, Shouhong Ding, Shuigeng Zhou, Shuai He, Lingzhi Fu, Heng Cong, Rongyu Zhang, Zhihong Xiao, Evgeny Smirnov, Anton Pimenov, Aleksei Grigorev, Denis Timoshenko, Kaleb Mesfin Asfaw, Cheng-Yaw Low, Hao Liu, Chuyi Wang, Qing Zuo, Zhixiang He, Hatef Otroshi-Shahreza, Anjith George, Alexander Unnervik, Parsa Rahimi, Sébastien Marcel, Pedro C. Neto, Marco Huber, Jan Niklas Kolf, Naser Damer, Fadi Boutros, Jaime S. Cardoso, Ana Filipa Sequeira, Andrea Atzori, Gianni Fenu, Mirko Marras, Vitomir Struc, Jiang Yu, Zhangjie Li, Jichun Li, Weisong Zhao, Zhen Lei, Xiangyu Zhu, Xiao-Yu Zhang, Bernardo Biesseck, Pedro Vidal, Luiz Coelho, Roger Granada, David Menotti:
Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data. CVPR Workshops 2024: 3173-3183 - [i13]Yuxi Mi, Zhizhou Zhong, Yuge Huang, Jiazhen Ji, Jianqing Xu, Jun Wang, Shaoming Wang, Shouhong Ding, Shuigeng Zhou:
Privacy-Preserving Face Recognition Using Trainable Feature Subtraction. CoRR abs/2403.12457 (2024) - [i12]Ivan DeAndres-Tame, Ruben Tolosana, Pietro Melzi, Rubén Vera-Rodríguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Zhizhou Zhong, Yuge Huang, Yuxi Mi, Shouhong Ding, Shuigeng Zhou, Shuai He, Lingzhi Fu, Heng Cong, Rongyu Zhang, Zhihong Xiao, Evgeny Smirnov, Anton Pimenov, Aleksei Grigorev, Denis Timoshenko, Kaleb Mesfin Asfaw, Cheng-Yaw Low, Hao Liu, Chuyi Wang, Qing Zuo, Zhixiang He, Hatef Otroshi-Shahreza, Anjith George, Alexander Unnervik, Parsa Rahimi, Sébastien Marcel, Pedro C. Neto, Marco Huber, Jan Niklas Kolf, Naser Damer, Fadi Boutros, Jaime S. Cardoso, Ana Filipa Sequeira, Andrea Atzori
, Gianni Fenu, Mirko Marras, Vitomir Struc, Jiang Yu, Zhangjie Li, Jichun Li, Weisong Zhao, Zhen Lei, Xiangyu Zhu, Xiaoyu Zhang, Bernardo Biesseck, Pedro Vidal, Luiz Coelho, Roger Granada, David Menotti:
Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data. CoRR abs/2404.10378 (2024) - [i11]Zhizhou Zhong, Yuxi Mi, Yuge Huang, Jianqing Xu, Guodong Mu, Shouhong Ding, Jingyun Zhang, Rizen Guo, Yunsheng Wu, Shuigeng Zhou:
SlerpFace: Face Template Protection via Spherical Linear Interpolation. CoRR abs/2407.03043 (2024) - 2023
- [c12]Yuxi Mi, Yuge Huang, Jiazhen Ji, Minyi Zhao, Jiaxiang Wu, Xingkun Xu, Shouhong Ding, Shuigeng Zhou:
Privacy-Preserving Face Recognition Using Random Frequency Components. ICCV 2023: 19616-19627 - [i10]Yuxi Mi, Yuge Huang, Jiazhen Ji, Minyi Zhao, Jiaxiang Wu, Xingkun Xu, Shouhong Ding, Shuigeng Zhou:
Privacy-Preserving Face Recognition Using Random Frequency Components. CoRR abs/2308.10461 (2023) - 2022
- [c11]Yuge Huang, Jiaxiang Wu, Xingkun Xu, Shouhong Ding:
Evaluation-oriented Knowledge Distillation for Deep Face Recognition. CVPR 2022: 18719-18728 - [c10]Jiazhen Ji, Huan Wang, Yuge Huang, Jiaxiang Wu, Xingkun Xu, Shouhong Ding, Shengchuan Zhang, Liujuan Cao, Rongrong Ji:
Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain. ECCV (12) 2022: 475-491 - [c9]Yuxi Mi, Yuge Huang, Jiazhen Ji, Hongquan Liu, Xingkun Xu, Shouhong Ding, Shuigeng Zhou:
DuetFace: Collaborative Privacy-Preserving Face Recognition via Channel Splitting in the Frequency Domain. ACM Multimedia 2022: 6755-6764 - [i9]Yuge Huang, Jiaxiang Wu, Xingkun Xu, Shouhong Ding:
Evaluation-oriented Knowledge Distillation for Deep Face Recognition. CoRR abs/2206.02325 (2022) - [i8]Jiazhen Ji, Huan Wang, Yuge Huang, Jiaxiang Wu, Xingkun Xu, Shouhong Ding, Shengchuan Zhang, Liujuan Cao, Rongrong Ji:
Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain. CoRR abs/2207.07316 (2022) - [i7]Yuxi Mi, Yuge Huang, Jiazhen Ji, Hongquan Liu, Xingkun Xu, Shouhong Ding, Shuigeng Zhou:
DuetFace: Collaborative Privacy-Preserving Face Recognition via Channel Splitting in the Frequency Domain. CoRR abs/2207.07340 (2022) - 2021
- [c8]Xiaobin Hong, Tong Zhang, Zhen Cui, Yuge Huang, Pengcheng Shen, Shaoxin Li, Jian Yang:
Graph Game Embedding. AAAI 2021: 7711-7720 - [c7]Xingkun Xu, Yuge Huang, Pengcheng Shen, Shaoxin Li, Jilin Li, Feiyue Huang, Yong Li, Zhen Cui:
Consistent Instance False Positive Improves Fairness in Face Recognition. CVPR 2021: 578-586 - [c6]Fu-Zhao Ou, Xingyu Chen, Ruixin Zhang, Yuge Huang, Shaoxin Li, Jilin Li, Yong Li, Liujuan Cao, Yuan-Gen Wang:
SDD-FIQA: Unsupervised Face Image Quality Assessment With Similarity Distribution Distance. CVPR 2021: 7670-7679 - [c5]Yun Wang, Tong Zhang, Xueya Zhang, Zhen Cui, Yuge Huang, Pengcheng Shen, Shaoxin Li, Jian Yang:
Wasserstein Coupled Graph Learning for Cross-Modal Retrieval. ICCV 2021: 1793-1802 - [c4]Jingshan Xu, Chuanwei Zhou, Zhen Cui, Chunyan Xu, Yuge Huang, Pengcheng Shen, Shaoxin Li, Jian Yang:
Scribble-Supervised Semantic Segmentation Inference. ICCV 2021: 15334-15343 - [i6]Fu-Zhao Ou, Xingyu Chen, Ruixin Zhang, Yuge Huang, Shaoxin Li, Jilin Li, Yong Li, Liujuan Cao, Yuan-Gen Wang:
SDD-FIQA: Unsupervised Face Image Quality Assessment with Similarity Distribution Distance. CoRR abs/2103.05977 (2021) - [i5]Tao Wang, Ruixin Zhang, Xingyu Chen, Kai Zhao, Xiaolin Huang, Yuge Huang, Shaoxin Li, Jilin Li, Feiyue Huang:
Adaptive Feature Alignment for Adversarial Training. CoRR abs/2105.15157 (2021) - [i4]Xingkun Xu, Yuge Huang, Pengcheng Shen, Shaoxin Li, Jilin Li, Feiyue Huang, Yong Li, Zhen Cui:
Consistent Instance False Positive Improves Fairness in Face Recognition. CoRR abs/2106.05519 (2021) - 2020
- [c3]Xi Yin, Ying Tai, Yuge Huang, Xiaoming Liu:
FAN: Feature Adaptation Network for Surveillance Face Recognition and Normalization. ACCV (2) 2020: 301-319 - [c2]Yuge Huang, Yuhan Wang, Ying Tai, Xiaoming Liu, Pengcheng Shen, Shaoxin Li, Jilin Li, Feiyue Huang:
CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition. CVPR 2020: 5900-5909 - [c1]Yuge Huang, Pengcheng Shen, Ying Tai, Shaoxin Li, Xiaoming Liu, Jilin Li, Feiyue Huang, Rongrong Ji:
Improving Face Recognition from Hard Samples via Distribution Distillation Loss. ECCV (30) 2020: 138-154 - [i3]Yuge Huang, Pengcheng Shen, Ying Tai, Shaoxin Li, Xiaoming Liu, Jilin Li, Feiyue Huang, Rongrong Ji:
Distribution Distillation Loss: Generic Approach for Improving Face Recognition from Hard Samples. CoRR abs/2002.03662 (2020) - [i2]Yuge Huang, Yuhan Wang, Ying Tai, Xiaoming Liu, Pengcheng Shen, Shaoxin Li, Jilin Li, Feiyue Huang:
CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition. CoRR abs/2004.00288 (2020)
2010 – 2019
- 2019
- [i1]Xi Yin, Ying Tai, Yuge Huang, Xiaoming Liu:
FAN: Feature Adaptation Network for Surveillance Face Recognition and Normalization. CoRR abs/1911.11680 (2019) - 2018
- [j1]Yuge Huang, Xiang Tian, Yaowu Chen, Rongxin Jiang:
Multitask convolutional neural network for no-reference image quality assessment. J. Electronic Imaging 27(06): 063033 (2018)
Coauthor Index
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