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姓名 韩琥  性别 男 
联系方式 hanhu@ict.ac.cn  职称 副研究员 
研究方向 计算机视觉;模式识别;医学影像分析
个人主页 https://sites.google.com/site/huhanhomepage 
个人介绍
简历:

韩琥,中科院计算所副研究员,硕士生导师。2011年博士毕业于中科院计算所,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Abacus项目核心研发成员。2015年回到中科院计算所工作,主要研究方向为计算机视觉及模式识别、生物特征识别、医疗影像分析。担任国际期刊Pattern Recognition编委(AE),国际会议ICPR2020 领域主席(AC),以及CVPR2020 / FG2020 / WACV2020 / FG2019 / BTAS2019 / PRCV2019等主会特别会议/专题论坛/竞赛的共同组织者。在IEEE TPAMI / TIP / TIFS / TBIOM、PR、CVPR、ECCV、NeurIPS、MICCAI等领域权威国际期刊与会议上发表学术论文60余篇,谷歌学术引用2800余次,H-Index: 25 (2020.7)。作为负责人承担国家重点研发子课题、基金重点子课题、基金面上、中科院对外合作及企业合作等课题10余项。相关研究工作3次获得会议最佳学生/海报论文奖,3次获国际竞赛冠亚军。

研究方向为多模态深度生物感知,包括:(1)多模态与跨模态融合表示学习及其在身份识别中的应用;(2)多任务学习及其表观属性、表情识别等分析中的应用;(3)微弱视觉信号分析与建模及其在非接触式人体生理特征测量、微表情、活体判别等方面的应用;(5)领域知识与数据驱动融合的医学影像分析。

国科大:http://people.ucas.ac.cn/~hhan

谷歌学术:https://scholar.google.com/citations?user=4v709-MAAAAJ&hl=en

社会任职:
 
获奖及荣誉:
 
代表论著:

期刊文章:  

1. Guoqing Wang, Hu Han, Shiguang Shan, and Xilin Chen. Unsupervised Adversarial Domain Adaptation for Cross-domain Face Presentation Attack Detection, IEEE Transactions on Information Forensics and Security (T-IFS), Jun. 2020, DOI: 10.1109/TIFS.2020.3002390. (CCF-A, IF: 6.013) 

2. Han Li, Hu Han, Zeju Li, Lei Wang, Zhe Wu, Jingjing Lu, and S. Kevin Zhou. High-Resolution Chest X-ray Bone Suppression Using Unpaired CT Structural Priors, IEEE Transactions on Medical Imaging (T-MI), Apr. 2020, DOI: 10.1109/TMI.2020.2986242. (CCF-B, IF: 6.685) 

3. Xuesong Niu, Shiguang Shan, Hu Han, and Xilin Chen. RhythmNet: End-to-end Heart Rate Estimation from Face via Spatial-temporal Representation, IEEE Transactions on Image Processing (T-IP), vol. 29. no. 1, pp. 2409-2423, Dec. 2020. (CCF-A, IF: 9.340) 

4. Jiancheng Cai, Hu Han, Shiguang Shan, and Xilin Chen. FCSR-GAN: Joint Face Completion and Super-resolution via Multi-task Learning, IEEE Transactions on Biometrics, Behavior, and Identity Science (T-BIOM), vol. 2, no. 2, pp. 109-121, Apr. 2020. 

5. Hu Han, Jie Li, Anil K. Jain, Shiguang Shan, and Xilin Chen. Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 41. no. 10, pp. 2333-2348, Oct. 2019. (CCF-A, IF: 17.861) 

6. Hu Han, Anil K. Jain, Fang Wang, 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), vol. 40, no. 11, pp. 2597-2609, Nov. 2018. (CCF-A, IF: 17.73) 

7. 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, IF: 5.824) 

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, IF: 6.077) 

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, IF: 2.441) 

10. 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, IF: 2.408) 

11. 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, IF: 2.408) 

12. 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, IF: 3.096) 

13. 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, IF: 2.584) 

14. 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, IF: 2.065) 

15. 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. (IF: 1.414) 

15. 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) 

会议文章:  

1. X Niu, Z Yu, H Han, X Li, S Shan, G Zhao. Video-based remote physiological measurement via cross-verified feature disentangling. In Proc. European Conference on Computer Vision (ECCV), pp. 1-16, Glasgow, United Kingdom, Aug. 23-28, 2020. (Oral, 2%) 

2. Han Li, Hu Han, and S. Kevin Zhou. Bounding Maps for Universal Lesion Detection. in Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 1-10, Lima, Peru, Oct. 4-8, 2020. 

3. Qingsong Yao, Zecheng He, Hu Han, and S. Kevin Zhou. Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection. in Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 1-10, Lima, Peru, Oct. 4-8, 2020.  

4. Guoqing Wang, Hu Han, Shiguang Shan, and Xilin Chen. Cross-domain Face Presentation Attack Detection via Multi-domain Disentangled Representation Learning. in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 6678-6687, Seattle, Washington, USA, Jun. 14-19, 2020. 

5. Xiaobai Li, Hu Han, Hao Lu, Xuesong Niu, Zitong Yu, Antitza Dantcheva, Guoying Zhao, Shiguang Shan. The 1st Challenge on Remote Physiological Signal Sensing (RePSS), in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 1-8, Seattle, Washington, USA, Jun. 14-19, 2020. 

6. Xuesong Niu, Hu Han, Shiguang Shan, and Xilin Chen. Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition, in Proc. the 33rd Annual Conference on Neural Information Processing Systems (NeurIPS), pp. 909-919, Vancouver, Canada, Dec. 8-14, 2019. 

7. Zeju Li, Han Li, Hu Han, Gonglei Shi, Jiannan Wang, and S. Kevin Zhou. Encoding CT Anatomy Knowledge for Unpaired Chest X-ray Image Decomposition, in Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 275-283, Shenzhen, China, Oct 13-17, 2019. 

8. Chao Huang, Hu Han, Qingsong Yao, Shankuan Zhu, and S. Kevin Zhou. 3D U2-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation, in Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 291-299, Shenzhen, China, Oct 13-17, 2019. 

9. Xuesong Niu, Hu Han, Songfan Yang, Yan Huang, and Shiguang Shan. Local Relationship Learning with Person-specific Regularization for Facial Action Unit Detection. in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 11917-11926, Long Beach, CA, USA, Jun. 18-20, 2019. 

10. Mengying Hu, Hu Han, Shiguang Shan, and Xilin Chen. Weakly Supervised Image Classification through Noise Regularization. in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 11517-11525, Long Beach, CA, USA, Jun. 18-20, 2019. 

11. Guoqing Wang, Chuanxin Lan, Hu Han, Shiguang Shan, and Xilin Chen. Multi-modal Face Presentation Attack Detection via Spatial and Channel Attentions. in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 1-6, Long Beach, CA, USA, Jun. 18-20, 2019. 

12. Guoqing Wang, Hu Han, Shiguang Shan, and Xilin Chen. Improving Cross-database Face Presentation Attack Detection via Adversarial Domain Adaptation. in Proc. 12th IAPR International Conference on Biometrics (ICB), pp. 1-8, Crete, Greece, Jun 4-7, 2019. (Oral) 

13. Xuesong Niu, Xingyuan Zhao, Hu Han, Abhijit Das, Antitza Dantcheva, Shiguang Shan, and Xilin Chen. Robust Remote Heart Rate Estimation from Face Utilizing Spatial-temporal Attention. in Proc. 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG), pp. 1-8, Lille, France, May 14-18, 2019. (Best Poster Award) 

14. Jiancheng Cai, Hu Han, Shiguang Shan, and Xilin Chen. FCSR-GAN: End-to-end learning for joint face completion and super-resolution. in Proc. 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG), pp. 1-8, Lille, France, May 14-18, 2019. (Best Reviewed Papers) 

15. Shiguang Yu, Hu Han, Shiguang Shan, Antitza Dantcheva, and Xilin Chen. Improving Face Sketch Recognition via Adversarial Sketch-Photo Transformation. in Proc. 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG), pp. 1-8, Lille, France, May 14-18, 2019. 

16. Hongyu Pan, Hu Han, Shiguang Shan, and Xilin Chen. Mean-variance Loss for Deep Age Estimation from A Face, in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5285-5294, Salt Lake City, USA, Jun. 18-22, 2018. 

17. Jiyun Cui, Hu Han, Shiguang Shan, and Xilin Chen. RGB-D Face Recognition: A Comparative Study of Representative Fusion Schemes. in Proc. 13th Chinese Conference on Biometric Recognition (CCBR), pp. 358-366, Xinjiang, China, Aug. 11-12, 2018. (Best Poster Paper) 

18. 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, Chengdu, China, Oct. 14-16, 2016. (Best Student Paper) 

19. 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), pp. 307-320, Firenze, Italy, Oct. 7-13, 2012. 

20. 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), pp. 308-321, Crete, Greece, Sept. 5-11, 2010. 

承担科研项目情况:
 
所属部门:
智能信息处理重点实验室
其他备注:
硕导计算机应用技术
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