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人脸组
组 长: 张杰 阚美娜 副研究员;山世光 研究员
Email: zhangjie at ict dot ac dot cn , kanmeina at ict dot ac dot cn ,sgshan at ict dot ac dot cn
课题组简介

    人脸组成立于1999年,已在人脸识别相关领域耕耘20余年。迄今已发表国际学术论文300余篇,所发表论文谷歌学术引用25000余次。相关成果获2005年度国家科技进步二等奖,2015年度国家自然科学二等奖。所研发的人脸识别技术已成功应用于公安部出入境管理局、多省公安厅人脸识别系统、及国内某知名手机等。2016年实验室成立了中科视拓(北京)科技有限公司专门进行相关技术的产业化工作。

研究内容

该研究组的主要研究内容包括:

理论与方法研究: 重点研究计算机视觉、模式识别与机器学习等学科领域的基础理论和关键技术,尤其关注知识驱动与数据驱动的特征学习,复杂数据条件下的深度学习与对抗学习,如视觉自监督学习、对抗生成与攻击、小样本学习、半监督、弱监督、迁移学习等基础理论与方法。

应用基础研究:重点关注人脸及物体相关的分析与建模。包括人脸/物体检测与跟踪、人脸/物体属性分析(如面部关键点定位、3D人脸重建、表情识别、属性预测与编辑、唇读)、人脸/物体识别等。

部分论文

刊物论文

  • Yong Li, Shiguang Shan. Meta Auxiliary Learning for Facial Action Unit Detection. IEEE Transactions on Affective Computing, Vol. 14, No. 3, pp. 2526-2538, 2023.
  • Yude Wang, Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen. BLPSeg: Balance the Label Preference in Scribble-Supervised Semantic Segmentation. IEEE Trans. on Image Processing (TIP), vol. 32, pp. 4921 – 4934, 2023-08-21.
  • Xingming Long, Jie Zhang, Shuzhe Wu, Xin Jin, Shiguang Shan. Dual Sampling Based Causal Intervention for Face Anti-Spoofing with Identity Debiasing. IEEE Transactions on Information Forensics and Security (TIFS), Vol. 19, pp. 851-862, 2023.
  • 李笑颜, 阚美娜, 梁浩, 山世光. 概率图采样图像增广驱动的弱监督物体检测. 中国图象图形学报, Vol. 28, No.7, pp. 2037-2053,2023.
  • Yude Wang, Jie Zhang, Meina Kan, Shiguang Shan. Learning pseudo labels for semi-and-weakly supervised semantic segmentation. Pattern Recognition (PR), Vol. 132, Dec. 2022.
  • 胡蓝青,阚美娜,山世光,陈熙霖. 面向大姿态人脸识别的正面化形变场学习. 中国图象图形学报, 27(7), pp. 2171-2184, 2022.
  • Xuyang Guo, Meina Kan, Zhenliang He, Xingguang Song and Shiguang Shan. Image Style Disentangling for Instance-level Facial Attribute Transfer. Computer Vision and Image Understanding (CVIU), 207:103205, 2021.
  • Yunpei Jia, Jie Zhang, Shiguang Shan and Xilin Chen. Unified Unsupervised and Semi-supervised Domain Adaptation Network for Cross-scenario Face Anti-spoofing. Pattern Recognition, 115: 107888, 2021.
  • Nan Lai, Meina Kan, Chunrui Han, Xingguang Song, and Shiguang Shan, "Learning to Learn Adaptive Classifier-Predictor for Few Shot Learning," IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020.
  • Mingjie He, Jie Zhang, Shiguang Shan, Meina Kan, Xilin Chen, "Deformable Face Net for Pose Invariant Face Recognition," Pattern Recognition (PR), vol.100, April. 2020.
  • Zhenliang He, Wangmeng Zuo, Meina Kan, Shiguang Shan and Xilin Chen, "AttGAN: Facial Attribute Editing by Only Changing What You Want," IEEE Transactions on Image Processing (TIP), vol. 28, no. 11, pp. 5464 – 5478, November 2019.
  • Shuzhe Wu, Meina Kan, Shiguang Shan and Xilin Chen, “Hierarchical Attention for Part-Aware Face Detection,” International Journal of Computer Vision (IJCV), vo. 127, no. 6-7, pp 560–578, June 2019.
  • Yan Li, Shiguang Shan, Ruiping Wang, Zhen Cui, Xilin Chen, "Fusing magnitude and phase features with multiple face models for robust face recognition," Frontier of Computer Science, vol. 4, pp. 1-19, 2018.
  • Xiaoke Zhu, Xiao-Yuan Jing, Xinge You, Wangmeng Zuo, Shiguang Shan, Wei-Shi Zheng, "Image to Video Person Re-Identification by Learning Heterogeneous Dictionary Pair with Feature Projection Matrix," IEEE Transactions on Information Forensics and Security, vol. 13, no. 3, pp. 717-732, 2018.
  • Zhiwu Huang, Ruiping Wang, Shiguang Shan, Luc Van Gool, Xilin Chen, "Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video," IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI), vol. 40, no. 12, pp. 2827-2840, Dec. 2018.
  • Xin Liu, Meina Kan, Wanglong Wu, Shiguang Shan, Xilin Chen, "VIPLFaceNet:An Open Source Deep Face Recognition SDK," Frontier of Computer Science, vol. 11, no. 2, pp. 208–218, 2017.
  • Wen Wang, Ruiping Wang, Shiguang Shan, Xilin Chen, "Prototype Discriminative Learning for Image Set Classification," IEEE Signal Processing Letters, vol. 24, no. 9, pp. 1318-1322, 2017.
  • Shuzhe Wu, Mein Kan, Zhenliang He, Shiguang Shan, Xilin Chen, "Funnel-Structured Cascade for Multi-View Face Detection with Alignment-Awareness," Neurocomputing, vol. 221, no. 19, pp. 138–145, 2017.
  • Shaoxin Li, Shiguang Shan, Shuicheng Yan, Xilin Chen, "Relative Forest for Visual Attribute Prediction," IEEE Transactions on Image Processing, 25(9): 3991-4003, 2016.
  • Yan Li, Ruiping Wang, Zhen Cui, Shiguang Shan, Xilin Chen, "Spatial Pyramid Covariance based Compact Video Code for Robust Face Retrieval in TV-Series," IEEE Transactions on Image Processing, vol. 25, no. 12, pp. 5905-5919, 2016.

会议论文

  • Sibo Wang, Jie Zhang, Zheng Yuan, Shiguang Shan. Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness. IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 24502-24511, Seattle WA, USA, Jun. 17-21, 2024.
  • Xiaolong Tang, Meina Kan, Shiguang Shan, Zhilong Ji, Jinfeng Bai, Xilin Chen. HPNet: Dynamic Trajectory Forecasting with Historical Prediction Attention. IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 15261-15270, Seattle WA, USA, Jun. 17-21, 2024.
  • Zonghui Guo, Xinyu Han, Jie Zhang, Shiguang Shan, Haiyong Zheng. Video Harmonization with Triplet Spatio-Temporal Variation Patterns. IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 19177-19186, Seattle WA, USA, Jun. 17-21, 2024.
  • Qiankun Li, Xiaolong Huang, Zhifan Wan, Lanqing Hu, Shuzhe Wu, Jie Zhang, Shiguang Shan, Zengfu Wang. Data-Efficient Masked Video Modeling for Self-supervised Action Recognition. Proceedings of the 31st ACM International Conference on Multimedia, pp. 5776–5785, Ottawa, Canada, 2023.
  • Dongyang Liu, Meina Kan, Shiguang Shan, Xilin Chen. Function-Consistent Feature Distillation. International Conference on Learning Representations (ICLR), 2023.
  • Zhongqi Wang, Jie Zhang, Zhilong Ji, Jinfeng Bai, Shiguang Shan. CCLAP: Controllable Chinese Landscape Painting Generation via Latent Diffusion Model. IEEE International Conference on Multimedia and Expo (ICME), Brisbane, Australia, Jul. 10 - 14, 2023.
  • Jiguo Li, Xinfeng Zhang, Chuanmin Jia, Jizheng Xu, Li Zhang, Yue Wang, Siwei Ma, Wen Gao. (2020, July). Universal adversarial perturbations generative network for speaker recognition. In 2020 IEEE International Conference on Multimedia and Expo (ICME) (pp. 1-6). IEEE.
  • Zheng Yuan, Jie Zhang, Shiguang Shan, Xilin Chen, "Attributes Aware Face Generation with Generative Adversarial Networks," 25th International Conference on Pattern Recognition (ICPR 2020), pp. 1657-1664, Virtual-Milano, January 10-15, 2021.
  • Lanqing Hu, Meina Kan, Shiguang Shan, Xilin Chen, "Unsupervised Domain Adaptation with Hierarchical Gradient Synchronization," IEEE Conference on Computer Vision and Pattern Recognition(CVPR 2020), pp. 4043-4052, 2020.
  • Yude Wang, Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen, "Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation," IEEE Conference on Computer Vision and Pattern Recognition(CVPR 2020), pp. 12275-12284, 2020.
  • Yunpei Jia, Jie Zhang, Shiguang Shan, Xilin Chen, "Single-Side Domain Generalization for Face Anti-Spoofing," IEEE Conference on Computer Vision and Pattern Recognition(CVPR 2020), pp. 8484-8493, 2020.
  • Changzhen Li, ​Jie Zhang, Shiguang Shan, Xilin Chen, "PAS-Net: Pose-Based and Appearance-Based Spatiotemporal Networks Fusion for Action Recognition", IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), pp. 215-221, 2020.
  • Zijian Zhao, Jie Zhang and Shiguang Shan, "Noise Robust Hard Example Mining for Human Detection with Efficient Depth-Thermal Fusion," IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), pp. 809-813, 2020.
  • Jiguo Li, Xinfeng Zhang, Jizheng Xu, Li Zhang, Yue Wang, Siwei Ma, Wen Gao. "Learning to Fool the Speaker Recognition," ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, pp. 2937-2941, doi: 10.1109/ICASSP40776.2020.9053058.
  • Xijun Wang, Meina Kan, Shiguang Shan, Xilin Chen, “Fully Learnable Group Convolution for Acceleration of Deep Neural Networks”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.9049-9058, Long Beach, California, USA, June 16-20, 2019.
  • Mingjie He, Jie Zhang, Shiguang Shan, Meina Kan, Xilin Chen, "Deformable Face Net: Learning Pose Invariant Feature with Pose Aware Feature Alignment for Face Recognition," 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2019), Lille, France, May 14-18, 2019. (Oral)
  • Xiaoyan Li, Meina Kan, Shiguang Shan, Xilin Chen, "Weakly Supervised Object Detection with Segmentation Collaboration," IEEE International Conference on Computer Vision (ICCV), pp. 9735-9744, Seoul, Korea, Oct. 27-Nov. 2, 2019.
  • Zhenliang He, Meina Kan, Shiguang Shan, Xilin Chen, "S2GAN: Share Aging Factors across Ages and Share Aging Trends among Individuals," IEEE International Conference on Computer Vision (ICCV), pp. 9440-9449, Seoul, Korea, Oct. 27-Nov. 2, 2019.
  • Jinghui Wang, Jie Zhang, Zijia Lu, Shiguang Shan, "DFT-NET: Disentanglement of Face Deformation and Texture Synthesis for Expression Editing," IEEE International Conference on Image Processing (ICIP), pp.3881-3885, Taibei, China, Sep. 22, 2019.
  • Nan Lai, Meina Kan, Shiguang Shan, Xilin Chen, "Task-adaptive Feature Reweighting for Few Shot Classification," Asian Conference on Computer Vision 2018(ACCV2018), 2-6 Dec. 2018, Perth Western Aust.ralia