韩琥

中国科学院计算技术研究所

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  • 韩琥
  • 副研究员
简历:

韩琥,博士、副研究员、硕士生导师。于2005年毕业于山东大学计算机科学与技术系获学士学位,2011年毕业于中国科学院计算技术研究所(中国科学院大学,国科大)获工学博士学位。2011年10月至2015年5月作为博士后研究员在美国密歇根州立大学计算机科学与工程系从事生物特征识别技术研究;2015年1月至2015年4月作为访问研究员在美国谷歌总部从事下一代智能设备身份认证技术研究;2015年5月回国加入中国科学院计算所中国科学院智能信息处理重点实验室,被聘为副研究员、硕士生导师。

主要研究方向为生物特征识别、计算机视觉、模式识别及图像处理,专注于非可控人脸识别、多模态与跨模态生物特征识别、人脸与人口统计属性分析、人脸三维建模以及纹身等辅助生物特征识别问题的研究,近年来先后在包括IEEE T-PAMI和IEEE T-IFS等在内的领域知名国际期刊与会议上发表学术论文30余篇,其中CCF-A类期刊论文6篇(均为长文),谷歌学术引用超过510次(2016.9)。获授权国家发明专利1项,申请专利2项,人脸模拟画像识别技术授权给国际知名生物特征识别公司MorphoTrak。

近年来,先后多次担任包括ICB、IJCB、ACCV、CCBR、B-Wild、VAAM等在内的国内外知名会议的程序委员会委员,长期担任IEEE T-PAMI, T-IP, T-IFS, T-CYB, T-NNLS, Pattern Recogn., CVIU, IVCJ, Neurocomputing, WACV, CVPRW等本领域知名国际期刊与会议的审稿人;现为IEEE与CCF会员。

个人主页:https://sites.google.com/site/huhanhomepage谷歌学术:https://scholar.google.com/citations?user=4v709-MAAAAJ&hl=en

研究方向:
生物特征识别、计算机视觉、模式识别、图像处理
社会任职:

程序委员会委员:ICB'16, CCBR'16, ICB’15, B-Wild’15, ACCV’14, IJCB’14, VAAM’14, ICB’13国际期刊审稿人:T-PAMI, IJCV, T-IP, T-IFS, T-MM, T-CSVT, T-CYB, T-NNLS, Pattern Recogn., CVIU, FCS, Inform. Fusion, IVCJ, Neurocomputing, PRL, SPL国际会议审稿人:WACV’15, ICASSP’14, WACV’14, CVPRW’13, ACCV’12, ICCV’11, IJCB’11

获奖及荣誉:
代表论著:

期刊论文 (*通讯作者)1. 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, 人脸活体判别) 2. 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, 人脸属性分析) 3. 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, 人脸活体判别) 4. 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, 刑侦模拟画像识别) 5. 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, 非可控条件多模态人脸识别) 6. 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, 夜间远距离人脸识别) 7. 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, 人脸光照归一化) 8. 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, 刑侦模拟画像识别) 9. 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. 10. 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. (in Chinese) 会议论文1. 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 (Oral, To appear).2. Xin Liu, Shaoxin Li, Meina Kan, Jie Zhang, Shuzhe Wu, Wenxian Liu, Hu Han, Shiguang Shan, and Xilin Chen. AgeNet: Deeply Learned Regressor and Classifier for Robust Apparent Age Estimation. ICCV Workshops, Dec. 11-18, 2015. 3. Keyur 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. 4. 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) 5. 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) 6. 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) 7. 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) 8. 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, 2013.9. Scott Klum, Brendan Klare, Hu Han, and Anil Jain, Sketch Based Face Recognition, IEEE Biometrics Council Newsletter, vol. 6, pp. 4, Jan. 2013.10. 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. 11. 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) 12. 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) 13. 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. 14. 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. 15. 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. 16. 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 (FGR), Amsterdam, The Netherlands, Sep. 2008.

承担科研项目情况:
国家自然科学基金面上,多模态生物特征识别,项目负责人 美国谷歌-密歇根州立大学,移动设备人脸检测与识别,技术负责人美国NSF-CITeR,人脸活体检测,技术负责人美国NSF-CITeR,纹身素描图像与纹身照片图像的匹配 ,技术负责人 美国NSF-CITeR,基于非标定二维人脸图像的三维重构,技术负责人 美国国家司法部(DOJ),刑侦素描人脸图像与大规模照片人脸库的匹配 ,技术负责人
学科类别:
计算机应用技术
所属部门:
智能信息处理重点实验室
专家类别:
副高
杰青入选时间:
百人入选时间:
其他备注:
硕导计算机应用技术
其他备注2:
其他备注3: