中科院计算所视觉信息处理与学习组
韩琥
副研究员

职 称:副研究员

电子邮箱:hu.han[at]vipl.ict.ac.cn

通讯地址:北京市海淀区科学院南路6号

研究兴趣:计算机视觉与模式识别及其在生物特征识别中的应用,如多模态与跨模态识别,属性预测, 活体判别等

韩琥,中科院计算所副研究员,硕士生导师。2005年毕业于山东大学获学士学位,2011年毕业于中科院计算所获博士学位,之后分别在美国密歇根州立大学和美国谷歌总部从事生物特征识别研究工作,曾担任谷歌ATAP Abacus项目(智能设备身份认证核心研发成员。2015年加入中科院计算所,主要研究方向为生物特征识别、计算机视觉模式识别。先后在包括IEEE T-PAMI、IEEE T-IFS、PR、ECCV等本领域知名国际期刊与会议上发表学术论文30余篇,其中一作与通讯作者CCF-A类期刊长文7篇(一作T-PAMI长文2篇),谷歌学术引用超过930(H-Index:18);多次应邀担任ICB、IJCB、ACCV、CCBR等知名国内外生物特征识别与计算机视觉会议程序委员会委员。作为课题单位负责人参与国家基金委重点项目1项,作为项目负责人承担国家基金委面上项目1项和中科院-INRIA国际联合项目1项,作为课题骨干参与科技部973项目1项;曾作为技术负责人参与美国司法部和自然科学基金的模拟画像识别和生物活体性判别等多个项目。联合指导研究生获ICCV2015表观年龄识别竞赛亚军、CCBR2016最佳学生论文奖。


当前研究课题包括:(1)多模态生物特征识别,即借鉴人在视觉多模态与多通道信息处理中的机理,建立多生物特征与多数据模态的互补特征表示,多模态与跨模态识别模型以及数据与模态缺失下的建模方法,提升真实场景下机器视觉感知在生物特征识别中的鲁棒性;(2)视觉目标结构化表达,即在目标对象检测结果的基础上,估计目标属性,例如年龄、性别、发型、眼镜等人脸属性,形成对目标的全面结构化理解;(3)多模态人脸活体判别,利用多模态信息实现对活体人脸与非活体人脸(照片、视频、面具等)的有效区分,防范针对人脸识别系统的前端欺骗攻击;(4)人体生理特征分析,利用视觉非接触式方法,基于视频图像数据实现对人的心率、血压和血氧等生理指标的非侵扰式分析。


研究生招生:通常每年秋季招收1名硕士生,同时也欢迎有坚实计算机专业基础的同学前来客座。


个人主页[中文@ICT,CAS] [中文@eScience] [English@GoogleSite] [English@GoogleScholar]

学术服务
刊物服务
  • IEEE T-PAMI, IJCV, IEEE T-IP, IEEE T-IFS, IEEE T-MM, IEEE T-CSVT, IEEE T-CYB, IEEE T-NNLS, Pattern Recogn., CVIU, FCS, Inform. Fusion, IVCJ
会议服务
  • Technical Program Committee: B-Wild'17, ICB'16, CCBR'16, ICB'15, B-Wild'15, ACCV'14, IJCB'14, VAAM'14, ICB'13
经历
教育经历
  • 2005.09-2011.07 中科院计算所 计算机应用技术 博士
  • 2001.09-2005.07 山东大学 计算机科学与技术 学士
学术经历
  • 2015.05-至今 中科院计算所 副研究员
  • 2015.01-2015.04 美国谷歌总部 访问研究员
  • 2011.10-2015.01 美国密歇根州立大学, Research Associate
科研项目

1.   多模态生物特征识别方法研究

项目类型:国家自然科学基金面上
项目时间:2017-2020
项目负责人:韩琥

2.   移动设备人脸检测与识别

项目类型:美国谷歌
项目时间:2014-2015
项目负责人:技术负责人

3.   人脸活体检测

项目类型:美国NSF-CITeR
项目时间:2013-2014
项目负责人:技术负责人

4.   纹身素描图像与纹身照片图像的匹配

项目类型:美国NSF-CITeR
项目时间:2012-2013
项目负责人:技术负责人

5.   基于非标定二维人脸图像的三维重构

项目类型:美国NSF-CITeR
项目时间:2011-2012
项目负责人:技术负责人

6.   刑侦素描人脸图像与大规模照片人脸库的匹配

项目类型:美国国家司法部(DOJ)
项目时间:2011-2015
项目负责人:技术负责人
著论

部分刊物论文

1.   Hu Han, Shiguang Shan, Xilin Chen, and Wen Gao. A Comparative Study on Illumination Preprocessing in Face Recognition. Pattern Recognition (P.R.), vol. 46, no. 6, pp. 1691-1699, Jun. 2013. (CCF-B) 【pdf】

2.   Hu Han, Shiguang Shan, Xilin Chen, and Wen Gao. A Lighting Normalization Approach Exploiting Face Symmetry. Journal of Computer Research and Development, vol. 50, no. 4, pp. 767-775, 2013. 【pdf】

3.   Changhong Liu, Wenfeng Chen, Hu Han, and Shiguang Shan. Effects of Image Preprocessing on Face Matching and Recognition in Human Observers. Applied Cognitive Psychology, vol.27, no. 6, pp. 718-724, Nov. 2013. 【pdf】

4.   Hu Han, Brendan Klare, Kathryn Bonnen, and Anil K. Jain. Matching Composite Sketches to Face Photos: A Component Based Approach. IEEE Transactions on Information Forensics and Security (T-IFS), vol. 8, no. 1, pp. 191-204, Jan. 2013. (CCF-A) 【pdf】

5.   Dongoh Kang, Hu Han, Anil K. Jain, and Seong-Whan Lee. Nighttime Face Recognition at Large Standoff: Cross-Distance and Cross-Spectral Matching, Pattern Recognition (P.R.), vol.47, no. 12, pp. 3750-3766, Dec. 2014. (CCF-B) 【pdf】

6.   Scott Klum, Hu Han*, Brendan Klare, and Anil K. Jain. The FaceSketchID System: Matching Facial Composites to Mugshots. IEEE Transactions on Information Forensics and Security (T-IFS),vol. 9, no. 12, pp. 2248-2263, Dec. 2014. (CCF-A) 【pdf】

7.   Lacey Best-Rowden, Hu Han*, Charles Otto, Brendan Klare, and Anil K. Jain. Unconstrained Face Recognition: Identifying a Person of Interest from a Media Collection, IEEE Transactions on Information Forensics and Security (T-IFS), vol. 9, no. 12, pp. 2144-2157, Dec. 2014. (CCF-A) 【pdf】

8.   Hu Han, Charles Otto, Xiaoming Liu, and Anil K. Jain. Demographic Estimation from Face Images: Human vs. Machine Performance, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 37, no. 6, pp. 1148-1161, Jun. 2015. (CCF-A) 【pdf】

9.   Di Wen, Hu Han*, and Anil K. Jain. Face Spoof Detection with Image Distortion Analysis, IEEE Transactions on Information Forensics and Security (T-IFS), vol. 10, no. 4, pp. 746-761, Apr. 2015. (CCF-A) 【pdf】

10.   Keyurkumar Patel, Hu Han*, and Anil K. Jain. Secure Face Unlock: Spoof Detection on Smartphones, IEEE Transactions on Information Forensics and Security (T-IFS), vol. 11, no. 10, pp. 2268-2283, Oct. 2016. (CCF-A) 【pdf】

11.   Hu Han, Anil K. Jain, Shiguang Shan, and Xilin Chen. Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2017. (CCF-A, regular paper) (To appear) 【pdf】

部分国际会议论文

1.   Hu Han, Shiguang Shan, Xilin Chen, and Wen Gao. Illumination Transfer Using Homomorphic Wavelet Filtering and Its Application to Light-Insensitive Face Recognition. in Proc. International Conference on Automatic Face and Gesture Recognition (FG), Amsterdam, The Netherlands, Sep. 2008. 【pdf】

2.   Hu Han, Shiguang Shan, Xilin Chen, and Wen Gao. Gray-Scale Super-Resolution for Face Recognition from Low Gray-Scale Resolution Face Images. in Proc. International Conference on Image Processing (ICIP), Hong Kong, Sep. 2010. 【pdf】

3.   Hu Han, Shiguang Shan, Laiyun Qing, Xilin Chen, and Wen Gao. Lighting Aware Preprocessing for Face Recognition across Varying Illumination. in Proc. 11th European Conference on Computer Vision (ECCV), Crete, Greece, Sep. 2010. 【pdf】

4.   Hu Han, Shiguang Shan, Xilin Chen, and Wen Gao. Maximizing Intra-Individual Correlation for Illumination-Insensitive Face Recognition. in Proc. International Conference on Image Processing (ICIP), Hong Kong, Sep. 2010. 【pdf】

5.   Hu Han and Anil K. Jain. 3D Face Texture Modeling from Uncalibrated Frontal and Profile Images. in Proc. IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS), Washington DC, USA, Sept. 23-26, 2012. (Oral) 【pdf】

6.   Charles Otto, Hu Han, and Anil K. Jain. How Does Aging Affect Facial Components? in Proc. 12th European Conference on Computer Vision Workshops (ECCVW), Firenze, Italy,Oct. 7-13, 2012. (Oral) 【pdf】

7.   Hu Han, Shiguang Shan, Xilin Chen, Shihong Lao, and Wen Gao. Separability Oriented Preprocessing for Illumination-invariant Face Recognition. in Proc. 12th European Conference on Computer Vision (ECCV), Firenze, Italy, Oct. 7-13, 2012. 【pdf】

8.   Hu Han, Charles Otto and Anil K. Jain. Age Estimation from Face Images: Human vs.Machine Performance. in Proc. 6th IAPR International Conference on Biometrics (ICB),Madrid, Spain, June 4-7, 2013. (Oral) 【pdf】

9.   Koichiro Niinuma, Hu Han, and Anil K. Jain. Automatic Multi-view Face Recognition via 3D Model Based Pose Regularization. in Proc. IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS), Washington DC, USA, Sept. 29-Oct. 2, 2013.(Oral) 【pdf】

10.   Scott Klum, Hu Han, Anil K. Jain, and Brendan Klare. Sketch Based Face Recognition: Forensic vs. Composite Sketches. in Proc. 6th IAPR Int’l Conference on Biometrics (ICB),Madrid, Spain, June 4-7, 2013. 【pdf】

11.   Hu Han and Anil K. Jain. Tattoo Based Identification: Sketch to Image Matching. in Proc.6th IAPR International Conference on Biometrics (ICB), Madrid, Spain, June 4-7, 2013. (Oral) 【pdf】

12.   David Crouse, Hu Han, Deepak Chandra, Brandon Barbello, and Anil K. Jain. Continuous Authentication of Mobile User: Fusion of Face Image and Inertial Measurement Unit Data. in Proc. IAPR International Conference on Biometrics (ICB), Phuket, Thailand, May 19-22,2015. (Oral) 【pdf】

13.   Keyurkumar Patel, Hu Han, Anil K. Jain, and Greg Ott. Live Face Video vs. Spoof Face Video: Use of Moir?e Patterns to Detect Replay Video Attacks. in Proc. IAPR International Conference on Biometrics (ICB), Phuket, Thailand, May 19-22, 2015. 【pdf】

14.   Sixue Gong, Hu Han, Shiguang Shan, and Xilin Chen. Actions Recognition in Crowd Based on Coarse-to-Fine Multi-Object Tracking, in Proc. Asian Conference on Computer Vision (ACCV) Workshops, Nov. 20-24, 2016. (Oral) 【pdf】

15.   Keyurkumar Patel, Hu Han*, and Anil K. Jain. Cross-Database Face Antispoofing with Robust Feature Representation, in Proc. the 11th Chinese Conference on Biometric Recognition (CCBR), Oct. 14-16, 2016. (Best Student Paper) 【pdf】

16.   Fang Wang, Hu Han, Shiguang Shan, and Xilin Chen. Deep Multi-Task Learning for Joint Prediction of Heterogeneous Face Attributes, in Proc. 12th IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2017. (To appear) 【pdf】

视觉信息处理和学习组
  • 单位地址:北京海淀区中关村科学院南路6号
  • 邮编:100190
  • 联系电话:010-62600514
  • Email:yi.cheng@vipl.ict.ac.cn
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