Visual Information Processing and Learning
Visual Information Processing and Learning


Research
Face Recognition

Leader:Meina Kan (Associate Professor) / Shiguang Shan(Professor)

Email:kanmeina [at] ict dot ac dot cn; sgshan [at] ict dot ac dot cn


The Face Group has been working on face analysis since 1999, and has published more than 300 papers on spoofing detection, face detection, face landmark detection, face attributes prediction, facial attribute editing, and face recognition, including 8 TPAMI papers, 13 TIP papers, 1 IJCV paper, 31 CVPR papers, 12 ICCV papers, 6 NIPS/ICML/AAAI. These works have been cited for more than 14000 times (Google Scholar). Some of these works won the 2ndclass of China’s National Science and Technology Progress Award in 2005, and 2ndclass of China’s State Natural Science Award in 2015. Moreover, a few face recognition and analysis works have been successfully commercialized into China’s Ministry of Public Security Exit-Entry Administration, Provincial Public Security Bureau, Labour and Social Security Bureau, and the cellphone of Huawei Technologies Co., Ltd. In August 2016, Beijing Seetatech Technology Co., Ltd (Seetatech) is established especially for commercialization of face recognition techniques.


Research



The face group mainly focuses on the following two aspects:

1)    Theory and Methodology: mainly study the fundamental problems of computer vision and pattern recognition, including discriminative feature learning, deep learning with defect data (e.g. small number of data, weakly supervised data, nosily labeled data), transfer learning, and adversarial learning.

2)    Application and Methods:  mainly study the fundamental problems of face application, including face detection and tracking, facial landmark detection, face recognition, 3D face reconstruction, facial expression analysis, lip reading, facial attributes estimation. More generally, the predestination detection, tracking and re-identification are also of interest.

Papers

Journal Papers

1.    Shuzhe Wu, Meina Kan, Shiguang Shan and Xilin Chen, “Hierarchical Attention for Part-Aware Face Detection,” International Journal of Computer Vision (IJCV), 2019. (Accepted on Jan.29th, 2019).

2.    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. 【pdf】

3.    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. 【pdf】

4.    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. 【pdf】

5.    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. 【pdf】

6.    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. 【pdf】

7.    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. 【pdf】

8.    Shaoxin Li, Shiguang Shan, Shuicheng Yan, Xilin Chen, "Relative Forest for Visual Attribute Prediction," IEEE Transactions on Image Processing, 25(9): 3991-4003, 2016. 【pdf】

9.    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.

10.    Risheng Liu, Guangyu Zhong, Junjie Cao, Zhouchen Lin, Shiguang Shan, Zhongxuan Luo, "Learning to Diffuse: A New Perspective to Design PDEs for Visual Analysis," IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI2016), vol. 38, no. 12, pp. 2457-2471, 2016. 【pdf】

11.    陈熙霖, 胡事民, 孙立峰, "面向真实世界的智能感知与交互", 中国科学:信息科学, 46卷, 8期, pp. 969–981, 2016. 【pdf】

12.    Zhiwu Huang, Shiguang Shan, Ruiping Wang, Haihong Zhang, Shihong Lao, Alifu Kuerban, Xilin Chen, "A Benchmark and Comparative Study of Video-Based Face Recognition on COX Face Database," IEEE Transactions on Image Processing, vol. 24, no. 12, pp. 5967-5981, 2015.

13.    Zhen Cui, Shiguang Shan, Ruiping Wang, Lei Zhang, Xilin Chen, "Sparsely Encoded Local Descriptor for Face Verification," Neurocomputing, vol. 147, pp. 403-411, 2015. 【pdf】

14.    Zhiwu Huang, Ruiping Wang, Shiguang Shan, Xilin Chen, "Face Recognition on Large-Scale Video in the Wild with Hybrid Euclidean-and-Riemannian Metric Learning," Pattern Recognition, vol. 48, no. 10, pp. 3113-3124, 2015. 【pdf】

15.    Zhen Cui, Wen Li, Dong Xu, Shiguang Shan, Xilin Chen, Xuelong Li, “Flowing on Riemannian Manifold: Domain Adaptation by Shifting Covariance,” IEEE Transactions on Cybernetics, vol.44, no.12, pp.2264-2273,Dec.2014. 【pdf】

16.    吉娜烨,柴秀娟,山世光,陈熙霖, 基于局部回归模型的人脸素描自动生成, 计算机辅助设计与图形学学报, vol.26,no.12,pp.2232-2243, 2014.12. 【pdf】

17.    Lijuan Duan, Hongyan Zhong, Jun Miao, Zhen Yang, Wei Ma, Xuan Zhang, “A voting optimized strategy based on ELM for improving classification of motor imagery BCI data,” Cognitive Computation, vol.6, pp.477-483,Nov.2014. 【pdf】

18.    Bingpeng Ma, Annan Li, Xiujuan Chai, Shiguang Shan, “CovGa: A novel descriptor based on symmetry of regions for head pose estimation,” Neurocomputing, vol.143, pp.97-108,Nov.2014. 【pdf】

19.    Shaoxin Li, Xin Liu, Xiujuan Chai, Haihong Zhang, Shihong Lao, Shiguang Shan, “Maximal Likelihood Correspondence Estimation for Face Recognition Across Pose,” IEEE Trans. on Image Processing, vol.23, no.10, pp.4587 – 4600,Oct.2014. 【pdf】

20.    Dan Wang, Shiguang Shan, Hongming Zhang, Wei Zeng, Xilin Chen, “Data-Driven Hair Segmentation with Isomorphic Manifold Inference,” Image and Vision Computing, vol.32, no.10, pp.739–750,Oct.2014. 【pdf】

Conference Papers

1.    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), Feb. 2019. ( Accepted)

2.    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," IEEE International Conference on Automatic Face and Gesture Recognition (FG 2019), Lille, France, 2019. (Accepted)

3.    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 【pdf】

4.    Lanqing Hu, Meina Kan, Shiguang Shan, Xilin Chen, "Duplex Generative Adversarial Network for Unsupervised Domain Adaptation," IEEE Conference on Computer Vision and Pattern Recognition (CVPR2018), pp. 1498-1507, Salt Lake City, UT, June 18-22, 2018. 【pdf】

5.    Xuepeng Shi, Shiguang Shan, Meina Kan, Shuzhe Wu, Xilin Chen, "Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks," IEEE Conference on Computer Vision and Pattern Recognition(CVPR2018). 【pdf】

6.    Chunrui Han, Shiguang Shan, Meina Kan, Shuzhe Wu, Xilin Chen, "Face Recognition with Contrastive Convolution", European Conference on Computer Vision (ECCV2018), Munich, Germany, 8-14 Sep., 2018 【pdf】

7.    Gang Zhang, Meina Kan, Shiguang Shan, Xilin Chen, "Generative Adversarial Network with Spatial Attention for Face Attribute Editing," 15th European Conference on Computer Vision (ECCV2018), Munich, Germany, Sep. 8-14, 2018. 【pdf】

8.    Yingjie Yao, Xiaohe Wu, Lei Zhang, Shiguang Shan, Wangmeng Zuo, "Joint Representation and Truncated Inference Learning for Correlation Filter based Tracking," European Conference on Computer Vision, ECCV, 2018. 【pdf】

9.    Gang Zhang, Hu Han, Shiguang Shan, Xingguang Song, Xilin Chen, "Face Alignment across Large Pose via MT-CNN based 3D Shape Reconstruction," To appear in Proc. International Conference on Automatic Face and Gesture Recognition(FG2018), pp. 1-8, Xi'an, China, 2018. 【pdf】

10.    Shiying Luo, Meina Kan, Shuzhe Wu, Xilin Chen, Shiguang Shan, "Face Anti-Spoofing with Multi-Scale Information," To appear in Proc. International Conference on Pattern Recognition (ICPR2018), pp. 3402-3407, Beijing, China, 2018. 【pdf】

11.    Yong Li, Jiabei Zeng, Shiguang Shan, Xilin Chen, "Patch-Gated CNN for Occlusion-aware Facial Expression Recognition," To appear in Proc. International Conference on Pattern Recognition (ICPR2018), accepted, Beijing, China, 2018. 【pdf】

12.    Yuhao Ma, Meina Kan, Shiguang Shan, Xilin Chen, "Hierarchical Training for Large Scale Face Recognition with Few Samples Per Subject," International Conference on Image Processing, ICIP 2018: 2401-2405. 【pdf】

13.    Fei Wu, Xiaoyuan Jing, Shiguang Shan, Wangmeng Zuo, Jingyu Yang, "Multiset Feature Learning for Highly Imbalanced Data Classification," AAAI Conference on Artificial Intelligence(AAAI2017), San Francisco, California, USA, 2017. 【pdf】

14.    Xiaoyuan Jing, Fei Wu, Xiwei Dong, Shiguang Shan, Songcan Chen, "Semi-Supervised Multi-View Correlation Feature Learning with Application to Webpage Classification," AAAI Conference on Artificial Intelligence(AAAI2017), San Francisco, California, USA, 2017. 【pdf】

15.    Wen Wang, Ruiping Wang, Shiguang Shan, Xilin Chen, "Discriminative Covariance Oriented Representation Learning for Face Recognition with Image Sets," IEEE Conference on Computer Vision and Pattern Recognition(CVPR2017), pp. 5749-5758, 2017. 【pdf】

16.    Zhenliang He, Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen, "Robust FEC-CNN: A High Accuracy Facial Landmark Detection System," IEEE Conference on Computer Vision and Pattern Recognition Workshops(CVPR2017), Hawaii, 2017. 【pdf】

17.    Lanqing Hu, Meina Kan, Shiguang Shan, Xingguang Song, Xilin Chen, "LDF-Net:Learning a Displacement Field Network for Face Recognition across Pose," IEEE International Conference on Face and Gesture Recognition(FG2017), Washington, 2017. 【pdf】

18.    Xin Liu, Meina Kan, Shiguang Shan, Xilin Chen, "Noisy Face Image Sets Refining Collaborated with Discriminant Feature Space Learning," IEEE International Conference on Face and Gesture Recognition(FG2017), Washington, 2017. 【pdf】

19.    Xin Liu, Shaoxin Li, Meina Kan, Shiguang Shan, Xilin Chen, "Self-Error-Correcting Convolutional Neural Network for Learning with Noisy Labels," IEEE International Conference on Face and Gesture Recognition(FG2017), Washington, 2017. 【pdf】

20.    Zhenliang He, Meina Kan, Jie Zhang, Xilin Chen, Shiguang Shan, "A Fully End-to-End Cascaded CNN for Facial Landmark Detection," IEEE International Conference on Face and Gesture Recognition(FG2017), Washington, 2017. 【pdf】


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