刘宏，博士，副研究员，硕士生导师。2000年7月进入中科院计算所从事科研工作，2007年6月毕业于中科院计算所，获计算机应用技术专业博士学位。

主要研究方向为图像处理与分析、机器学习和人机交互。申请人在国家863、国家科技支撑项目、国家自然科学基金、北京市自然科学基金等项目的支持下，带领团队长期从事视觉目标检测、多目标跟踪，图像特征提取和场景理解，以及医学图像处理与识别等方面的科研工作。在计算机视觉和多媒体领域的知名学术会议和期刊上，已发表论文50多篇，申请和授权发明专利30余项，软件著作权4项。

现为中国计算机学会高级会员、IEEE会员，担任国内核心期刊《计算机辅助设计与图形学学报》，《电子学报》，国际SCI期刊IEEE Transactions on Cybernetics, Multimedia Tools and Applications, Sensors, Journal of Visual Communication and Image Representation等学术期刊的审稿人。

部分会议论文：

1. Renqiang Li, Hong Liu, Xiangdong Wang, Jianxing Xu and Yueliang Qian. Optical Braille Recognition Based On Semantic Segmentation Network with Auxiliary Learning Strategy. CVPR workshop, 2020

2. Liwei Lin, Xiangdong Wang, Hong Liu, Yueliang Qian. Guided Learning convolution system for DCASE 2019 task4. International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020（CCF-B）

3. Yuxin Huang, Xiangdong Wang, Liwei Lin, Hong Liu, Yueliang Qian. Multi-Branch Learning for Weakly-Labeled Sound Event Detection. International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020（CCF-B）

4. Liwei Lin, Xiangdong Wang, Hong Liu, Yueliang Qian. Guided Learning convolution system for DCASE 2019 task4. Proceedings of the Detection and Classification of Acoustic Scenes and Events Workshop (DCASE), 2019

5. Haomiao Ni, Hong Liu, Kuansong Wang, Xiangdong Wang, Shitong Su, Yueliang Qian, WSINet: Branch-based and Hierarchy-aware Network for Segmentation and Classification of Breast Whole-slide Images, The 10th International Workshop on Machine Learning in Medical Imaging with MICCAI 2019

6. Renqiang Li, Hong Liu, Xiangdong Wang, Yueliang Qian, Effective Optical Braille Recognition Based on Two-stage Learning for Double-sided Braille Image, PRICAI, 2019 (CCF-C)

7. Wendong Xu, Hong Liu, Xiangdong Wang, Yueliang Qian, Liver Segmentation in CT base on ResUNet with 3D Probabilistic and Geometric Post Process, ICSIP 2019 (EI)

8. Renqiang Li, Hong Liu, Xiangdong Wang, Yueliang Qian, DSBI: Double-Sided Braille Image Dataset and Algorithm Evaluation for Braille Dots Detection, International Conference on Video and Image Processing, HongKong, China, ICVIP 2018 (EI)

9. Haomiao Ni, Hong Liu, Zichao Guo, Xiangdong Wang, Taijiao Jiang, Kuansong Wang, Yueliang Qian, Multiple Visual Fields Cascaded Convolutional Neural Network for Breast Cancer Detection, the 15th Pacific Rim International Conference on Artificial Intelligence, 2018 (CCF-C)

10. Hong Liu, Lizhen Tang, Jun Wang, Xiangdong Wang, Yueliang Qian,RGB-D Sensor Based Obstacle Detection and Feedback Strategy for the Visual Impaired,International Conference on Computer Vision Theory and Applications,2017.

11. Hong Liu, Jun Wang, Xiangdong Wang, Yueliang Qian, Efficient multi-scale plane extraction based RGBD video segmentation, 23th International Conference on MultiMedia Modeling,Iceland, 2017.

12. Haomiao Ni, Hong Liu, Xiangdong Wang, Yueliang Qian, Human Action Recognition Based on Optimal Joint Selection and Discriminative Depth Descriptor,The 13thAsian Conference on Computer Vision, 2016, Taiwan.

13. Zichao Guo, Hong Liu, Yueliang Qian, Xiangdong Wang,A novel obstacle detection method based on distortion of laser pattern,The 17thIEEE International Conference on Multimedia and Expo, Seattle, USA, July 11-15, 2016 (oral)

14. Hong Liu, Jun Wang, Yueliang Qian, Xiangdong Wang,iSee: Obstacle Detection and Feedback System for the Blind(poster),2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing,UbiComp 2015,Osaka, Japan

15. Song Shao, Hong Liu, Xiangdong Wang, Yueliang Qian,Local Associated Features for Pedestrian Detection,ACCV2014 workshop Robust local descriptors for computer vision, Singapore

16. Zhe Wang, Hong Liu, Xiangdong Wang, Yueliang Qian,Segment and Label Indoor Scene based on RGB-D for the Visually Impaired, 20th International Conference on MultiMedia Modeling,MMM2014, Dublin, Ireland (EI)

17. Hong Liu, Tao Xu, Xiangdong Wang, and Yueliang Qian, Related HOG Features for Human Detection Using Cascaded Adaboost and SVM Classifiers,19thInternational Conference on MultiMedia Modeling,MMM2013, China, huangshan (EI)

18. Tao Xu, Hong Liu, Yueliang Qian, Zhe Wang, A fast pedestrian detection framework based on static and dynamic information,IEEE International Conference on Multimedia and Expo,ICME 2012, July 9-13, Melbourne, Australia (EI)

19. Zhe Wang, Hong Liu, Yueliang Qian, Tao Xu,Crowd Density Estimation Based On Local Binary Pattern Co-Occurrence Matrix, IEEE International WorkshopwithICME 2012(EI)

20. Zhe Wang,Hong Liu, Yueliang Qian, Tao Xu, Real-Time Plane Segmentation and Obstacle Detection of 3D Point Clouds for Indoor Scenes,IEEE International Workshop on Consumer Depth Cameras for Computer Vision,in Conjunction withECCV 2012,Firenze, Italy. (EI)

21. Xutao, Hong Liu, Yueliang Qian, A Novel Method for People and Vehicle Classification Based on Hough Line Feature,ICIST 2011, Nanjing, China (EI)

22. Hong Liu, Yueliang Qian, Shuoxun Lin, Detecting Persons Using Hough Circle Transform in Surveillance Video,VISAPP 2010, May (17-22), Angers, France, pp.267-270 (EI)

23. Hong Liu, Jintao Li, Yueliang Qian, Qun Liu, Robust Multi-target Tracking Using Mean Shift and Particle Filter with Target Model Update,VISAPP 2008, Portugal (EI)

24. 刘宏，黄赟，刘群，SSMT2007机器翻译评测报告，第三届统计机器翻译研讨会论文集，哈尔滨，中国，2007，8月12-13.

25. Hong Liu, Jintao Li, Yueliang Qian, Qun Liu, Shadow Elimination in Traffic Video Segmentation, The 10th IAPR Conference on Machine Vision Applications,MVA 2007, Japan, Tokyo (EI)

26. Hong Liu, Jintao Li, Yueliang Qian, Shouxun Lin, Qun Liu, Motion and Gray Based Automatic Road Segment Method MGARS in Urban Traffic Surveillance, Lecture Notes in Computer Science, 2006 (SCI)

27. Hong Liu, Jintao Li, Guoqin Cui, Text-Dependent Chinese Writer Identification Using Optimal Gabor Filter,ACCV 2004: The 6th Asian Conference on Computer Vision, Jeju Island, Korea

28. Hong Liu, Wen Gao, Jun Miao, Jintao Li. A Novel Method to Compensate Variety of Illumination in Face Detection. Proc. 6th Joint Conference on Information Sciences, North Carolina, America, 2002 (ISTP)

29. Jun Miao, Hongming Zhang, Wen Gao,Gang Deng, Hong Liu and Xilin Chen. FaceTracker: A Human Face Tracking and Facial Organ Localizing System,ICCV 2001: the Proc. of the 8th International Conference on Computer Vision.

部分期刊论文

1. Liwei Lin, Xiangdong Wang, Hong Liu, Yueliang Qian. Specialized Decision Surface and Disentangled Feature for Weakly-Supervised Polyphonic Sound Event Detection. Transactions on Audio, Speech and Language Processing, 2020 (SCI)

2. 蔡佳，王向东，唐李真，崔晓娟，刘宏，钱跃良。基于汉盲对照语料库和深度学习的汉盲自动转换，中文信息学报。2019, 33 (4): 60-67

3. Zichao Guo, Hong Liu, Haomiao Ni, Xiangdong Wang, Mingming Su, Wei Guo, Kuansong Wang, Taijiao Jiang, Yueliang Qian, A Fast and Refined Cancer Regions Segmentation Framework in Whole-slide Breast Pathological Images, Scientific Reports, Vol. 9, 2019 (SCI)

4. Hong Liu, Wenshan Wu, Xiangdong Wang, Yueliang Qian. RGB-D joint modelling with scene geometric information for indoor semantic segmentation [J]. Multimedia Tools & Applications, Volume 77, 2018, pp 22475–22488 (SCI)

5. Ying Yang, Yiyi Fan, Xiangdong Wang, Hong Liu, Yueliang Qian. Baby Crying Detection System for Rural Applications, International Agricultural Engineering Journal. Vol. 27, No. 4, 2018: 418-423（EI）

6. Xiangdong Wang, Ying Yang, Hong Liu, Yueliang Qian, Improving speech transcription by exploiting user feedback and word repetition, Multimed Tools Appl (2017) 76:20359–20376 (SCI)

7. Hong Liu, Tao Xu, Xiangdong Wang, Yueliang Qian, A novel multi-feature descriptor for human detection using cascaded classifiers in static image, Journal of Signal Processing Systems, Volume 81, Issue 3 (2015), Page 377-388 (SCI)

8. Xiangdong Wang, Ying Yang, Hong Liu and Yueliang Qian. The PIC-TDD Framework of Test Data Design for Pattern Recognition Systems. International Journal of Advanced Pervasive and Ubiquitous Computing, Vol. 6, No. 4, 2015, pp. 43-62.

9. 邵松，刘宏，王向东，钱跃良，基于迁移学习的行人检测研究进展，计算机工程与应用，Vol.50，No.24，2014，pp.156-163（DOI：10.3778/j.issn.1002-8331.1311-0358

10. 刘宏，王喆，王向东，赵国英，钱跃良，面向盲人避障的场景自适应分割及障碍物检测，计算机辅助设计与图形学学报，Vol.25，No.12，2013，pp.1818-1825

11. 刘宏，李锦涛，刘群，钱跃良，李豪杰，融合颜色和梯度特征的运动阴影消除方法，计算机辅助设计与图形学学报，Vol.19，No.10，2007，pp.1279-1285（EI）

12. LIU Qun, WANG Xiangdong, LIU Hong, et al, Introduction to HTRDP evaluations on Chinese information processing and intelligent human-machine interface, Frontiers of Computer Sciences in China, Vol.1, No.1, Springer, Feb. 2007, pp.58-93.（EI）

13. 李金国，钱跃良，王向东，刘群，刘宏“机动车视频标注规范研究与标注平台的实现”，计算机工程，Vol.33, No.4, 2007.2, pp.173-175（EI）

14.钱跃良,林守勋,刘群,刘宏, 2005年度863计划中文信息处理与智能人机接口技术评测回顾,中文信息学报, Vol. 20, 2006.3, pp.1-6（EI）

15.钱跃良,林守勋,刘群,刘洋,刘宏,谢萦, 863计划中文信息处理与智能人机接口基础数据库的设计和实现,高技术通讯, Vol.15, No.169, 2005.1, pp.107-110（EI）

16.刘宏，李锦涛，崔国勤，唐胜，基于SVM和纹理的笔迹鉴别方法，计算机辅助设计与图形学学报, Vol. 15, 2003.12, pp.1479-1484（EI)

17.Jun Miao，Hong Liu，Wen Gao，Hongming Zhang, Gang Deng，Xilin Chen. A System for Human Face and Facial Feature Localization,IJIG: International Journal of Image and Graphics, Vol.3, No.3, Jul. 2003, pp461-479.（EI）

18. 刘宏，李锦涛，苗军，多方法融合来解决人脸检测中的光照补偿，系统仿真学报, Vol.13，2001.11, pp. 486~489（EI）

在研科研项目：

1、基于智能芯片的病理图像分析程序设计指南，中科院标准化项目，项目负责人

2、面向小样本医疗数据的深度学习方法研究及在脊柱肿瘤诊断中的应用，北京市自然科学基金海淀原始创新联合基金计算机视觉重点方向，子课题负责人

3、多模态医疗影像颈椎退变解析及其临床诊断与应用的研究，北京市自然科学基金重点专项，子课题负责人

4、基于深度学习的乳腺癌病理图像分析和辅助标注技术，中国医学科学院合作课题，项目负责人

5、基于机器学习的盲文高精度识别技术，中国盲文出版社合作课题，项目负责人

已完成科研项目：

北京市自然科学基金“基于RGB-D的场景分析及在导盲避障中的应用”

北京市重点实验室开放课题“基于组合分类器的盲文检测和识别技术研究”

国家自然科学基金“复杂场景中数目变化的视觉多目标实时跟踪技术研究”

国家科技支撑计划“残疾人信息无障碍数字化交互关键技术及产品”

国家863计划重点项目“普适计算基础软硬件关键技术及系统”

计算所创新课题“基于音频视频技术的广播电视广告监控”

国家863计划重点课题“中文平台总体技术研究与基础数据库建设”

国家863计划项目“中文信息处理与智能人机接口技术评测”

北京市科技计划项目“奥运多语言信息服务系统资源建设和核心技术评测”

计算所领域前沿青年基金“智能化图像识别关键技术研究”

国家自然科学基金“人脸主动网格模型方法研究”