基本信息

韩  琥  中国科学院计算技术研究所 研究员、博士生导师
电子邮件:hanhu[at]ict.ac.cn
通信地址:北京市海淀区科学院南路6号中科院计算所
邮政编码:100190
个人主页, 谷歌学术

研究领域

计算机视觉、模式识别、生物特征识别、医学图像分析,包括:机器人手术辅助、面部行为表情识别、物理域隐私保护等。在本领域主流国际期刊与会议上发表学术论文100余篇,谷歌学术引用7400余次,H-Index: 42 (2024.3)。研究工作获得5项论文奖,包括:1项IEEE信号处理学会最佳论文奖和4项会议论文奖。

招生信息

通常每年秋季招收博士(直博)和硕士研究生,欢迎有坚实的计算机、数学、英语基础和优秀编程能力的同学提前联系。

招生专业
081203-计算机应用技术
招生方向
计算机视觉、模式识别、生物特征识别、医学图像分析

工作经历

   
教育工作经历

2015-05~至今, 中国科学院计算技术研究所, 副研究员、研究员
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, 博士
2001-09~2005-07, 山东大学, 学士

学术服务

1. 期刊编委(Associate Editor)

2022~至今,  IEEE Transactions on Biometrics, Behavior, and Identity Science (TBIOM)
2020~至今, Pattern Recognition

2. 会议领域主席(Area Chair)/SPC/Session Chair

MICCAI2024, CVPR2024, MICCAI2023, IEEE FG2023, ECCV2022, ISBI2022, IJCAI2021, ICPR2020

3. 主会专场与学术论坛组织者

IJCAI2024 "The 3rd Workshop and Challengeon Remote Physiological Signal Sensing (RePSS)"

IEEE FG2023 Workshop "Artificial Intelligence for Automated Human Health-care and Monitoring"

IEEE IJCB2022 Sepcial Session "Recent Advances in Detecting Manipulation Attacks on Biometric Systems"

IEEE/CVF ICCV2021 "The 2nd Workshop and Challenge on Remote Physiological Signal Sensing (RePSS)" 

IEEE FG2021 Special Session "Applications in Healthcare and Health Monitoring"

IEEE/CVF CVPR2020 "The 1st Workshop and Challenge on Remote Physiological Signal Sensing (RePSS)"

IEEE WACV2020 Challenge & Workshop "Deepfakes and Presentation Attacks in Biometrics"

IEEE FG2020 Special Session "Computer Vision for Automatic Human Health Monitoring"

IEEE FG2019 Special Session "Human Health Monitoring Based on Computer Vision"

IEEE BTAS2018 Special Session "Recent Advances in Biometric Technology for Mobile Devices"

荣誉奖励

   
奖励信息
(1) 爱思唯尔2023“中国高被引学者”, 其他, 2023
(2) 爱思唯尔2022“中国高被引学者”, , 其他, 2022
(3) IEEE ICCV2021以人为中心的可信视觉论坛最佳论文奖, , 其他, 2021
(4) IEEE信号处理学会(IEEE SPS)最佳论文奖(2020), , 其他, 2020
(5) IEEE FG 2019最佳海报论文奖, 其他, 2019
(6) CCBR2018最佳海报论文奖, , 其他, 2018
(7) CCBR2016最佳学生论文奖, , 其他, 2016

代表论文


期刊论文

1. Jiachen Chen, Mengyang Li, Hu Han, Zhiming Zhao, and Xilin Chen. SurgNet: Self-supervised Pretraining with Semantic Consistency for Vessel and Instrument Segmentation in Surgical Images, IEEE Transactions on Medical Imaging (TMI), 2023. (accepted)

2. Ling Lin, Hao Liu, Jinqiao Liang, Zhendong Li, Jiao Feng, Hu Han. Consensus-agent deep reinforcement learning for face aging, IEEE Transactions on Image Processing (TIP), 2024. (accepted)

3. Xuri Ge, Joemon M Jose, Songpei Xu, Xiao Liu, Hu Han. MGRR-Net: Multi-Level Graph Relational Reasoning Network for Facial Action Units Detection, ACM Transactions on Intelligent Systems and Technology (TIST), 2023 (accepted)

4. Shikang Yu, Hu Han, Shiguang Shan, and Xilin Chen. CMOS-GAN: Semi-supervised Generative Adversarial Model for Cross-Modality Face Image Synthesis, IEEE Transactions on Image Processing (TIP), vol. 32, pp. 144-158, 2023.

5. Xuri Ge, Joemon M. Jose, Pengcheng Wang, Arunachalam Iyer, Xiao Liu, and Hu Han. ALGRNet: Multi-Relational Adaptive Facial Action Unit Modelling for Face Representation and Relevant Recognitions. IEEE Transactions on Biometrics, Behavior, and Identity Science (TBIOM), vol. 5, no. 4, pp. 566-578, Oct. 2023.

6. Zhuming Wang, Yaowen Xu, Lifang Wu, Hu Han, Yukun Ma, and Zun Li. Improving Face Anti-Spoofing via Advanced Multi-Perspective Feature Learning, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), vol. 19, no. 6, pp 1–18, Nov. 2023.

7. Pengchong Qiao, Han Li, Guoli Song, Hu Han, Zhiqiang Gao, Yonghong Tian, Yongsheng Liang, Xi Li, S. Kevin Zhou, and Jie Chen. Semi-supervised CT Lesion Segmentation Using Uncertainty-based Data Pairing and SwapMix, IEEE Transactions on Medical Imaging (TMI), vol. 42, no. 5, pp. 1546-1562, May 2023.

8. Abhijit Das, Xuesong Niu, Antitza Dantcheva, S L Happy, Hu Han, Radia Zeghari, Philippe Robert, Shiguang Shan, Francois Bremond, and Xilin Chen. A Spatio-temporal Approach for Apathy Classification, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 32, no. 5, pp. 2561 - 2573, May 2022.

9. Mengyao Lyu, Hu Han, and Xiangzhi Bai. Zero-Shot Embedding via Regularization-Based Recollection and Residual Familiarity Processes, IEEE Transactions on Systems, Man, and Cybernetics: Systems (TSMC), vol. 52, no. 11, pp. 6852-6869, Nov. 2022.

10. Haomiao Sun, Hongyu Pan, Hu Han, and Shiguang Shan. Deep Conditional Distribution Learning for Age Estimation, IEEE Transactions on Information Forensics and Security (TIFS), vol. 16, pp. 4679-4690, Dec. 2021.

11. 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 (TIFS), vol. 16, pp. 56-69, Dec. 2021.

12. Jiancheng Cai, Hu Han, Jiyun Cui, Jie Chen, Li Liu, S. Kevin Zhou. Semi-supervised Natural Face De-occlusion, IEEE Transactions on Information Forensics and Security (TIFS), vol. 16, pp. 1044-1057, Dec. 2021.

13. Yisheng Zhu, Hu Han, Guangcan Liu, Qingshan Liu. Collaborative Local-global Learning for Temporal Action Proposal, ACM Transactions on Intelligent Systems and Technology (TIST), vol. 12, no. 5, Sept. 2021.

14. Xuesong Niu, Hu Han, and Shiguang Shan. Remote Photoplethysmography-based Physiological Measurement: A Survey, Journal of Image and Graphics (CIG), pp. 1-16, Oct. 2020. (in Chinese)

15. 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 (TIP), vol. 29. no. 1, pp. 2409-2423, Dec. 2020.

16. 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 (TMI), vol. 39, no. 10, pp. 3053-3063, Oct. 2020.

17. 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 (TBIOM), vol. 2, no. 2, pp. 109-121, Apr. 2020.

18. 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 (TPAMI), vol. 41. no. 10, pp. 2333-2348, Oct. 2019.

19. 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 (TPAMI), vol. 40, no. 11, pp. 2597-2609, Nov. 2018.

20. Keyurkumar Patel, Hu Han, and Anil K. Jain. Secure Face Unlock: Spoof Detection on Smartphones, IEEE Transactions on Information Forensics and Security (TIFS), vol. 11, no. 10, pp. 2268-2283, Oct. 2016.

21. 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 (TPAMI), vol. 37, no. 6, pp. 1148-1161, Jun. 2015.

22. Di Wen, Hu Han, and Anil K. Jain. Face Spoof Detection with Image Distortion Analysis, IEEE Transactions on Information Forensics and Security (TIFS), vol. 10, no. 4, pp. 746-761, Apr. 2015. (IEEE SPS Best Paper Award)

23. 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.

24. 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 (TIFS), vol. 9, no. 12, pp. 2144-2157, Dec. 2014.

25. 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.

26. 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.

27. 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 (TIFS), vol. 8, no. 1, pp. 191-204, Jan. 2013.

28. 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. Yufei Cai, Yuxiang Wei, Zhilong Ji, Jinfeng Bai, Hu Han, Wangmeng Zuo. Decoupled Textual Embeddings for Customized Image Generation, Proceedings of the AAAI Conference on Artificial Intelligence, 2024. (accepted)

2. Yisheng Zhu, Hu Han, Zhengtao Yu, and Guangcan Liu. Modeling the Relative Visual Tempo for Self-supervised Skeleton-based Action Recognition, IEEE/CVF International Conference on Computer Vision (ICCV), pp. 13913-13922, Paris, France, Oct. 2-6, 2023.

3. Yifan Li, Hu Han, Shiguang Shan, and Xilin Chen. DISC: Learning from Noisy Labels via Dynamic Instance-Specific Selection and Correction. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 19934-19943, Jun. 18-22, Vancouver, Canada, 2023.

4. Shikang Yu, Jiachen Chen, Hu Han, and Shuqiang Jiang. Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 24266-24275, Jun. 18-22, Vancouver, Canada, 2023.

5. Han Li, Long Chen, Hu Han, and S. Kevin Zhou. SATr: Slice Attention with Transformer for Universal Lesion Detection. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 163-174, Singapore, Sept. 18-22, 2022.

6. Jinsong Chen, Hu Han, and Shiguang Shan. Towards High-fidelity Face Self-occlusion Recovery via Multi-view Residual-based GAN Inversion, AAAI Conference on Artificial Intelligence (AAAI), vol. 36, no. 1, pp. 294-302, Jun. 2022. (virtual, acceptance rate: 15%)

7. Han Li, Long Chen, Hu Han, Ying Chi, and S. Kevin Zhou. Conditional Training with Bounding Map for Universal Lesion Detection. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 141-152, Sept. 27-Oct. 1, 2021. (virtual)

8. Wen Tang, Han Kang, Pengxin Yu, Rongguo Zhang, Ying Cao, Hu Han, and Kuan Chen. M-SEAM-NAM: Multi-instance Self-supervised Equivalent Attention Mechanism with Neighborhood Affinity Module for Doubly Weakly Supervised Segmentation of COVID-19, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 262-272, Sept. 27-Oct. 1, 2021. (virtual)

9. Hao Lu, Hu Han, and S. Kevin Zhou. Dual-GAN: Joint BVP and Noise Modeling for Remote Physiological Measurement, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.12404-12413, Jun. 19-25, 2021. (virtual)

10. Zhuming Wang, Yaowen Xu, Lifang Wu, Hu Han, Yukun Ma, and Guozhang Ma. Multi-perspective Features Learning for Face Anti-spoofing. IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, pp. 4116-4122, Oct. 11-17, Oct. 2021. (Best Paper Award)

11. Xuesong Niu, Zitong Yu, Hu Han, Xiaobai Li, Shiguang Shan, Guoying Zhao. Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling. European Conference on Computer Vision (ECCV), pp. 1-16, Glasgow, United Kingdom, Aug. 23-28, 2020. (Oral)

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

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

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

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

16. 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, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 275-283, Shenzhen, China, Oct 13-17, 2019.

17. 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, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 291-299, Shenzhen, China, Oct 13-17, 2019.

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

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

20. 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. IEEE International Conference on Automatic Face and Gesture Recognition (FG), pp. 1-8, Lille, France, May 14-18, 2019. (Best Poster Award)

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

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

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

24. Keyurkumar Patel, Hu Han, and Anil K. Jain. Cross-Database Face Antispoofing with Robust Feature Representation, Chinese Conference on Biometric Recognition (CCBR), pp. 611-619, Chengdu, China, Oct. 14-16, 2016. (Best Student Paper)

25. Hu Han, Shiguang Shan, Xilin Chen, Shihong Lao, and Wen Gao. Separability Oriented Preprocessing for Illumination-invariant Face Recognition. European Conference on Computer Vision (ECCV), pp. 307-320, Firenze, Italy, Oct. 7-13, 2012.

26. Hu Han, Shiguang Shan, Laiyun Qing, Xilin Chen, and Wen Gao. Lighting Aware Preprocessing for Face Recognition across Varying Illumination. European Conference on Computer Vision (ECCV), pp. 308-321, Crete, Greece, Sept. 5-11, 2010.


指导学生

   
博士生 (含协助指导)

在读:

俞诗康、孙浩淼、张云驰

硕士生 (含协助指导)

在读

唐激扬、刘朝日、蔡宇飞

毕业

谢添鑫(24硕,HKUST(GZ))

吴昊展(24硕,格力)

周鑫冶(24硕,Tume)

陈家琛(23硕,有道

李一帆(23硕,MSU)

鲁    昊(22硕,HKUST(GZ))

陈雨情(22硕,百度)

王国庆(21硕,腾讯)

李   涵(21硕,中科大)

高若尘(21硕,NTU)

胡梦颖(20硕,快手

蔡剑成(20硕,美团

李   捷20硕,美团

崔继运(19硕,百度)

崔元顺(19硕,有道)

潘虹宇(19硕,阿里)

   宇(18硕,UTA)

陈   钢(18硕,头条)

   浩(17硕,腾讯

   芳(17硕,有道)