Mei Wang's Homepage

Research

Conference Papers:

1. Faceptor: A Generalist Model for Face Perception
   Lixiong Qin, Mei Wang, Xuannan Liu, Yuhang Zhang, Wei Deng, Xiaoshuai Song, Weiran Xu, Weihong Deng
   ECCV 2024 (oral) | paper

2. Confidence-Aware RGB-D Face Recognition via Virtual Depth Synthesis
   Zijian Chen, Mei Wang, Weihong Deng, Hongzhi Shi, Dongchao Wen, Yingjie Zhang, Xingchen Cui, Jian Zhao
   CVPR workshop 2024 | paper

3. Gradient attention balance network: Mitigating face recognition racial bias via gradient attention
   Linzhi Huang, Mei Wang, Jiahao Liang, Weihong Deng, Hongzhi Shi, Dongchao Wen, Yingjie Zhang, Jian Zhao
   CVPR workshop 2023 | paper

4. Augmented geometric distillation for data-free incremental person reid
   Yichen Lu, Mei Wang, Weihong Deng
   CVPR 2022 | paper

5. Global-local gcn: Large-scale label noise cleansing for face recognition
   Yaobin Zhang, Weihong Deng, Mei Wang, Jiani Hu, Xian Li, Dongyue Zhao, Dongchao Wen
   CVPR 2020 | paper

6. Mitigating bias in face recognition using skewness-aware reinforcement learning
   Mei Wang, Weihong Deng
   CVPR 2020 | paper | website

7. FGAN: Fan-shaped GAN for racial transformation
   Jiancheng Ge, Weihong Deng, Mei Wang, Jiani Hu
   IJCB 2020 | paper

8. Racial faces in the wild: Reducing racial bias by information maximization adaptation network
   Mei Wang, Weihong Deng
   ICCV 2019 | paper | website

9. Fair loss: Margin-aware reinforcement learning for deep face recognition
   Bingyu Liu, Weihong Deng, Yaoyao Zhong, Mei Wang, Jiani Hu, Xunqiang Tao, Yaohai Huang
   ICCV 2019 | paper

10. Unequal-training for deep face recognition with long-tailed noisy data
    Yaoyao Zhong, Weihong Deng, Mei Wang, Jiani Hu, Jianteng Peng, Xunqiang Tao, Yaohai Huang
    CVPR 2019 | paper

Journal Papers:

1. Oracle character recognition using unsupervised discriminative consistency network
   Mei Wang, Weihong Deng, Sen Su
   PR 204 | paper

2. Joint recognition of basic and compound facial expressions by mining latent soft labels
   Jing Jiang, Mei Wang, Bo Xiao, Jiani Hu, Weihong Deng
   PR 2024 | paper

3. A dataset of oracle characters for benchmarking machine learning algorithms
   Mei Wang, Weihong Deng
   Scientific Data 2024 | paper | website

4. Depth map denoising network and lightweight fusion network for enhanced 3d face recognition
   Ruizhuo Xu, Ke Wang, Chao Deng, Mei Wang, Xi Chen, Wenhui Huang, Junlan Feng, Weihong Deng
   PR 2024 | paper

5. SwinFace: a multi-task transformer for face recognition, expression recognition, age estimation and attribute estimation
   Lixiong Qin, Mei Wang, Chao Deng, Ke Wang, Xi Chen, Jiani Hu, Weihong Deng
   IEEE TCSVT 2023 | paper

6. Adaptive face recognition using adversarial information network
   Mei Wang, Weihong Deng
   IEEE TIP 2022 | paper

7. Unsupervised structure-texture separation network for oracle character recognition
   Mei Wang, Weihong Deng, Cheng-Lin Liu
   IEEE TIP 2022 | paper | website

8. Meta balanced network for fair face recognition
   Mei Wang, Yaobin Zhang, Weihong Deng
   IEEE TPAMI 2022 | paper

9. Deep face recognition: A survey
   Mei Wang, Weihong Deng
   Neurocomputing 2021 | paper

10. Cycle label-consistent networks for unsupervised domain adaptation
    Mei Wang, Weihong Deng
    Neurocomputing 2021 | paper

11. Orthogonality loss: Learning discriminative representations for face recognition
    Shanming Yang, Weihong Deng, Mei Wang, Junping Du, Jiani Hu
    IEEE TCSVT 2020 | paper

12. Deep face recognition with clustering based domain adaptation
    Mei Wang, Weihong Deng
    Neurocomputing 2020 | paper

13. Deep visual domain adaptation: A survey
    Mei Wang, Weihong Deng
    Neurocomputing 2018 | paper

Services

Reviewer: IEEE PAMI, IEEE TIP, IJCV, IEEE TAFFC, IEEE TNNLS, IEEE TCSVT, CVPR, ICCV, ECCV, ACM MM, etc.