基本信息
阚美娜  女    中国科学院计算技术研究所
电子邮件: kanmeina@ict.ac.cn
通信地址: 北京市海淀区科学院南路6号
邮政编码:

研究领域

计算机视觉与模式识别,包括人脸识别、深度学习、迁移学习、多视学习、弱监督学习等

教育背景

2007-08--2013-07   中国科学院大学   博士
2003-08--2007-07   山东大学   工学学士

工作经历

2016-01~2017-05,中国科学院计算技术研究所, 副研究员

2013-09~2015-12,中国科学院计算技术研究所, 助理研究员

2011-01~2011-09, 新加坡南洋理工大学,Project Officer

出版信息

   
发表论文
[1] Dongyagn Liu, Meina Kan, Shiguang Shan, Xilin Chen. Function-Consistent Feature Distillation. International Conference on Learning Representations (ICLR)null. 2023, [2] Xuyang Guo, Meina Kan, Tianle Chen, Shiguang Shan. GAN with Multivariate Disentangling for Controllable Hair Editing. European Conference on Computer Vision (ECCV)null. 2022, [3] Han, Chunrui, Shan, Shiguang, Kan, Meina, Wu, Shuzhe, Chen, Xilin. Personalized Convolution for Face Recognition. INTERNATIONAL JOURNAL OF COMPUTER VISION[J]. 2022, 130(2): 344-362, http://dx.doi.org/10.1007/s11263-021-01536-x.
[4] He, Zhenliang, Kan, Meina, Shan, Shiguang. EigenGAN: Layer-Wise Eigen-Learning for GANs. 2021, http://arxiv.org/abs/2104.12476.
[5] Wang Yude, Zhang Jie, Kan Meina, Shan Shiguang, Chen Xilin. Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation. 2020, http://arxiv.org/abs/2004.04581.
[6] Hu, Lanqing, Kan, Meina, Shan, Shiguang, Chen, Xilin, IEEE. Unsupervised Domain Adaptation with Hierarchical Gradient Synchronization. 2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)null. 2020, 4042-4051, [7] Wang Xijun, Kan Meina, Shan Shiguang, Chen Xilin. Fully Learnable Group Convolution for Acceleration of Deep Neural Networks. 2019, http://arxiv.org/abs/1904.00346.
[8] Han, Chunrui, Shan, Shiguang, Kan, Meina, Wu, Shuzhe, Chen, Xilin, Ferrari, V, Hebert, M, Sminchisescu, C, Weiss, Y. Face Recognition with Contrastive Convolution. COMPUTER VISION - ECCV 2018, PT IXnull. 2018, 11213: 120-135, [9] Zhang, Gang, Kan, Meina, Shan, Shiguang, Chen, Xilin, Ferrari, V, Hebert, M, Sminchisescu, C, Weiss, Y. Generative Adversarial Network with Spatial Attention for Face Attribute Editing. COMPUTER VISION - ECCV 2018, PT VInull. 2018, 11210: 422-437, http://dx.doi.org/10.1007/978-3-030-01231-1_26.
[10] Shi, Xuepeng, Shan, Shiguang, Kan, Meina, Wu, Shuzhe, Chen, Xilin, IEEE. Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks. 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)null. 2018, 2295-2303, [11] Hu, Lanqing, Kan, Meina, Shan, Shiguang, Chen, Xilin, IEEE. Duplex Generative Adversarial Network for Unsupervised Domain Adaptation. 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)null. 2018, 1498-1507, [12] Hu Lanqing, Kan Meina, Shan Shiguang, Song Xingguang, Chen Xilin, IEEE. LDF-Net: Learning a Displacement Field Network for Face Recognition Across Pose. 2017 12TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION (FG 2017)null. 2017, 9-16, [13] He, Zhenliang, Kan, Meina, Zhang, Jie, Chen, Xilin, Shan, Shiguang, IEEE. A Fully End-to-End Cascaded CNN for Facial Landmark Detection. 2017 12TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION (FG 2017)null. 2017, 200-207, [14] Liu, Xin, Li, Shaoxin, Kan, Meina, Shan, Shiguang, Chen, Xilin, IEEE. Self-Error-Correcting Convolutional Neural Network for Learning with Noisy Labels. 2017 12TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION (FG 2017)null. 2017, 111-117, [15] Wu, Wanglong, Kan, Meina, Liu, Xin, Yang, Yi, Shan, Shiguang, Chen, Xilin, IEEE. Recursive Spatial Transformer (ReST) for Alignment-Free Face Recognition. 2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV)null. 2017, 3792-3800, [16] Liu, Xin, Kan, Meina, Shan, Shiguang, Chen, Xilin, IEEE. Noisy Face Image Sets Refining Collaborated with Discriminant Feature Space Learning. 2017 12TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION (FG 2017)null. 2017, 544-550, [17] Zhang, Jie, Kan, Meina, Shan, Shiguang, Chen, Xilin, IEEE. Occlusion-free Face Alignment: Deep Regression Networks Coupled with De-corrupt AutoEncoders. 2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)null. 2016, 3428-3437, [18] Kan, Meina, Shan, Shiguang, Chen, Xilin, IEEE. Multi-view Deep Network for Cross-view Classification. 2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)null. 2016, 4847-4855, [19] Kan, Meina, Shan, Shiguang, Zhang, Haihong, Lao, Shihong, Chen, Xilin. Multi-View Discriminant Analysis. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE[J]. 2016, 38(1): 188-194, https://www.webofscience.com/wos/woscc/full-record/WOS:000366669200014.
[20] Liu Xin, Li Shaoxin, Kan Meina, Zhang Jie, Wu Shuzhe, Liu Wenxian, Han Hu, Shan Shiguang, Chen Xilin. AgeNet: Deeply Learned Regressor and Classifier for Robust Apparent Age Estimation. 2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOP (ICCVW)null. 2015, 258-266, http://dx.doi.org/10.1109/ICCVW.2015.42.
[21] Zhang, Jie, Kan, Meina, Shan, Shiguang, Zhao, Xiaowei, Chen, Xilin, Cremers, D, Reid, I, Saito, H, Yang, MH. Topic-Aware Deep Auto-Encoders (TDA) for Face Alignment. COMPUTER VISION - ACCV 2014, PT IIInull. 2015, 9005: 703-718, [22] Zhang, Jie, Kan, Meina, Shan, Shiguang, Chen, Xilin, IEEE. Leveraging Datasets with Varying Annotations for Face Alignment via Deep Regression Network. 2015IEEEINTERNATIONALCONFERENCEONCOMPUTERVISIONICCVnull. 2015, 3801-3809, [23] Kan, Meina, Shan, Shiguang, Chen, Xilin, IEEE. Bi-shifting Auto-Encoder for Unsupervised Domain Adaptation. 2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV)null. 2015, 3846-3854, [24] Kan Meina, Shan Shiguang, Chang Hong, Chen Xilin, IEEE. Stacked Progressive Auto-Encoders (SPAE) for Face Recognition Across Poses. 2014 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)null. 2014, 1883-1890, [25] Kan, Meina, Wu, Junting, Shan, Shiguang, Chen, Xilin. Domain Adaptation for Face Recognition: Targetize Source Domain Bridged by Common Subspace. INTERNATIONAL JOURNAL OF COMPUTER VISION[J]. 2014, 109(1-2): 94-109, https://www.webofscience.com/wos/woscc/full-record/WOS:000337091700007.
[26] Kan, Meina, Xu, Dong, Shan, Shiguang, Chen, Xilin. Semisupervised Hashing via Kernel Hyperplane Learning for Scalable Image Search. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY[J]. 2014, 24(4): 704-713, https://www.webofscience.com/wos/woscc/full-record/WOS:000334522800013.
[27] Zhang Jie, Shan Shiguang, Kan Meina, Chen Xilin. Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment. COMPUTER VISION - ECCV 2014, PT II[J]. 2014, 8690: 1-16, [28] Kan, Meina, Shan, Shiguang, Su, Yu, Xu, Dong, Chen, Xilin. Adaptive discriminant learning for face recognition. PATTERN RECOGNITION[J]. 2013, 46(9): 2497-2509, http://dx.doi.org/10.1016/j.patcog.2013.01.037.
[29] Kan, Meina, Xu, Dong, Shan, Shiguang, Li, Wen, Chen, Xilin. Learning Prototype Hyperplanes for Face Verification in the Wild. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2013, 22(8): 3310-3316, http://dx.doi.org/10.1109/TIP.2013.2256918.
[30] Wu, Shuzhe, Kan, Meina, He, Zhenliang, Shan, Shiguang, Chen, Xilin. Funnel-Structured Cascade for Multi-View Face Detection with Alignment-Awareness. http://arxiv.org/abs/1609.07304.

科研活动

   
科研项目
( 1 ) 面向物体识别的迁移学习理论与方法研究, 负责人, 其他任务, 2014-01--2017-12
( 2 ) 人脸识别技术研究, 参与, 企业委托, 2016-05--2017-03
( 3 ) 深度学习技术研究, 参与, 企业委托, 2016-03--2017-03
( 4 ) 图像视频的群体数据协同结构化处理与表达, 参与, 其他任务, 2014-01--2018-12
( 5 ) 面向非完备标注场景的迁移学习研究, 负责人, 其他任务, 2018-01--2021-12
( 6 ) 多模态自适应选择的高鲁棒协同感知所内子课题, 负责人, 国家任务, 2018-05--2022-12
( 7 ) 基于动力学理论研究易推广的深度学习模型, 负责人, 国家任务, 2018-05--2022-04
( 8 ) 异质视觉模式表示与分类, 负责人, 国家任务, 2022-01--2024-12
( 9 ) 开放环境的可扩展感知与理解, 负责人, 研究所自选, 2022-07--2024-06

招生信息

计算机应用技术