中国科学院计算技术研究所 韩 琥 博士
作者：科大科院考研网 发表时间：2019-11-29 来源：研招办
科院考研推荐链接：
研究领域
计算机视觉与生物特征识别，如属性学习、多模态人脸识别、人脸模拟画像跨模态识别等。
招生信息
硕士生 （要求具有计算机专业坚实的基础，包括数学、编程和英语等）
招生专业
081203-计算机应用技术
招生方向
生物特征识别，计算机视觉，模式识别
工作经历
教育、工作经历
2015-05~现在, 中国科学院计算技术研究所, 副研究员、硕士生导师
2015-01~2015-04,美国谷歌总部, 访问研究员
2011-10~2015-05,美国密歇根州立大学, Research Associate
2005-09~2011-07,中国科学院计算技术研究所, 研究生，博士
2001-09~2005-07,山东大学, 本科，学士
学术兼职
程序委员会委员：ICB'16, CCBR'16, ICB'15, B-Wild'15, IJCB'14, ACCV'14
国际期刊审稿人：T-PAMI, IJCV, T-IP, T-IFS, T-MM, T-CSVT, T-NNLS, R.R., SPL, Neurocomputing
国际会议审稿人：WACV'15, WACV'14, VCPRW'13, ECCV'12
教授课程
中科院计算所-机器学习
美国密歇根州立大学-模式识别(助教)
美国密歇根州立大学-模式识别(助教)
专利与奖励
专利成果
（ 1 ） 一种人脸图像光照预处理方法, 发明, 2012, 第 1 作者, 专利号: ZL200910244271.0
出版信息
期刊论文
1. Hu Han, Anil K. Jain, Shiguang Shan, and Xilin Chen. Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach, To appear in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2017. (CCF-A, IF: 8.3)
2. 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)
3. 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, IF: 8.3)
4. 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)
5. 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 (TIFS),vol. 9, no. 12, pp. 2248-2263, Dec. 2014. (CCF-A)
6. 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)
7. 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)
8. 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)
9. 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)
10. 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.
11. 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. 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), pp. 1-7, May/Jun., 2017.
2. 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), pp. 611-619, Oct. 14-16, 2016. (Best Student Paper)
3. 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.
4. 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.
5. 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)
6. 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)
7. 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)
8. 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)
9. 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.
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.
指导学生
博士生 (协助指导)
牛雪松（中科院计算所2016级），Lacey Best-Rowden (MSU2010级)，Charles Otto (MSU2012级)
硕士生 (含协助指导)
胡梦颖（中科院计算所2017级）、蔡剑成（中科院计算所2017级）、崔继运（中科院计算所2016级）、潘虹宇（中科院计算所2016级）、崔元顺（中科院计算所2016级）、宋宇（中科院计算所2015级）、王芳（中科院计算所2014级）、张浩（中科院计算所2014级）、Keyur Patel （MSU2013级）、Scott Klum（MSU2011级）
客座生
龚思雪（被MSU录取为博士生）、陈 易（西交大）
