基本信息

殷飞  男  中国科学院自动化研究所
电子邮件: fyin@nlpr.ia.ac.cn
通信地址: 北京市海淀区中关村东路95号
邮政编码:100190

研究领域

模式识别、文档分析、计算机视觉深度学习

招生信息

   
招生专业
081203-计算机应用技术
招生方向
文字识别,文档分析

教育背景

2006-09--2010-07   中国科学院自动化研究所   博士
1999-09--2002-07   华中科技大学图像所   硕士
1995-09--1999-07   西安邮电大学计算机系   学士

工作经历

   
工作简历
2022-01~现在, 中国科学院自动化研究所模式识别国家重点实验室, 研究员
2013-11~2021-12,中国科学院自动化研究所模式识别国家重点实验室, 副研究员
2010-07~2013-10,中国科学院自动化研究所模式识别国家重点实验室, 助理研究员
2002-07~2006-05,深圳中兴通信股份有限公司, 软件工程师

专利与奖励

学术竞赛奖励:

1、ICDAR2019 Commpetition on Historical Book Analysis-HBA2019,

           Challenge 1:Text/Graphic seperation, First Place.

           Challenge 2:Font discrimination, First Place.

2、ICDAR2017  Commpetition on Reading Chinese Text in the Wild (RCTW-17) ,

           Task: End-to-End Recognition, First Place.

           Task: Text Location, Second Place.

3、ICDAR2017 Competition on Page Object Detection in Document Images,

​           Task A: Formula Detection, First Place.

           Task B: Table Detection,First Place.

           Task C: Figure Detection, First Place.

          Task D: Page Object Detection, First Place.

4、ICFHR 2014 Competition on Handwritten Digit String Recognition in Challenging Datasets, First Place.

5、ICDAR2013 Competition on Historical Book Recognition (HCR2013) Task: Layout Analysis, First Place.

6、ICDAR2013 Competition on Historical Newspaper Layout Analysis (HNLA2013), First Place.


学术论文奖励:

1、ACPR2021 Best Student Paper Award.

2、ICPR2020 Best Scientific Paper Award.

3、DAS2020 Best Student Paper Award.

4、ICFHR2014 Best Poster Paper Award.

发表论文

Journal Paper:

1、Jun-bo Zhang,Fei Yin,et al. Video Text Detection with Robust Feature Representation, IEEE Trans.  Circuits and Systems for Video Technology (TCSVT), Accepted.

2、Yun-Fei, Fei Yin, et al. SignParser: An End-to-End Framework for Traffic Sign Understanding,  Int. J. Computer Vision (IJCV), Accepted.

3、Meng-Biao Zhao,Fei Yin, et al. Mixed-Supervised Scene Text Detection with Expectation-Maximization Algorithm, IEEE Trans. Image Processing (TIP), 31:5513 - 5528,2022.

4、Zhuo Chen, Fei Yin, et al., Cross-Lingual Text Image Recognition via Multi-Hierarchy Cross-Modal Mimic, IEEE Trans. Multimedia (TMM), 2022.

5、Hong-Ming Yang, Xu-Yao Zhang, Fei Yin, Qing Yang, Cheng-Lin Liu, Convolutional prototype network for open set recognition, IEEE Tran. Pattern Analysis and Machine Intelligence (TPAMI), 44(5): 2358-2370, 2022.

6、Xiao-Long Yun, Yan-Ming Zhang, Fei Yin, Cheng-Lin Liu, Instance GNN: A learning framework for joint symbol segmentation and recognition in online handwritten diagrams, IEEE Trans. Multimedia (TMM), 24: 2580-2594, 2022.

7、Xiu-Chuan Li, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu, Decision-based adversarial attack with frequency mixup, IEEE Trans. Information Forensics and Security (TIFS), 17: 1038-1052, 2022.

8、Wei Feng, Fei Yin, Xu-Yao Zhang, Wenhao He, Cheng-Lin Liu, Residual dual scale scene text spotting by fusing bottom-up and top-down processing, Int. J. Computer Vision (IJCV), 129: 619-637, 2021。

9、Li Liu, Linlin Huang, Fei Yin, Youbin Chen, Offline signature verification using a region based deep metric learning network, Pattern Recognition (PR), 118: 108009, 2021.

10、Wen-Hao He, Xu-Yao Zhang, Fei Yin, Zhenbo Luo, Jean-Marc Ogier, Cheng-Lin Liu, Real-time multi-scale scene text detection with scale-based region proposal network, Pattern Recognition (PR), 98:107026, 2020.

11、Zhuo Chen, Fei Yin, Xu-Yao Zhang, Qing Yang, Cheng-Lin Liu, Multilingual Handwritten Text Recognition via Multi-task Learning of Recurrent Neural Networks, Pattern Recognition (PR), 108:107555, 2020.

12、Jin-Wen Wu, Fei Yin, Yan-Ming Zhang, Xu-Yao Zhang, Cheng-Lin Liu, Handwritten Mathematical Expression Recognition via Paired Adversarial Learning, Int. J. Computer Vision (IJCV), 128: 2386-2401, 2020。

13、Xu-Yao Zhang, Fei Yin, Yan-Ming Zhang, Cheng-Lin Liu, Yoshua Bengio, Drawing and Recognizing Chinese Characters with Recurrent Neural Network, IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI), 40(4): 849-862, 2018。

14、Wenhao He, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu, Multi-oriented and multi-lingual scene text detection with direct regression, IEEE Trans. Image Processing (TIP), 27(11): 5406-5419, 2018.

15、Guo-Shuai Liu, Rui-Qi Wang, Fei Yin, Jean-Marc Ogier, Cheng-Lin Liu, Fast genre classification of web images using global and local features, CAAI Trans. Intelligence Technology, 3(3): 161-168, 2018。

16、Yi-Chao Wu, Fei Yin, Cheng-Lin Liu, Improving Handwritten Chinese Text Recognition UsingNeural Network Language Models and Convolutional Neural Network Shape Models, Pattern Recognition (PR), 65: 251-264, 2017.

17、刘国帅、仲伟峰、殷飞、刘成林,自然场景图像与合成图像的快速分类,中国图象图形学报,2017. G. Liu, W. Zhong, F. Yin, C. Liu, Fast classification of natural scene and born-digital images, Chinese Journal of Image and Graphics, 2017.

18、Ming-Ke Zhou, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu, Discriminative quadratic feature learning for handwritten Chinese character recognition, Pattern Recognition (PR), 49(1): 7-18, 2016.

19、 Liang Xu, Fei Yin, Qiu-Feng Wang, Cheng-Lin Liu, An over-segmentation method for single-touching Chinese handwriting with learning based filtering, J. Document Analysis and Recognition (IJDAR), 17(1): 91-104, 2014.

20、 Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu, Unsupervised language model adaptation for handwritten Chinese text recognition, Pattern Recognition (PR), 47(3): 1202-1216, 2014.

21、Hiang Huang, Fei Yin, Qing-Hu Chen, Cheng-Lin Liu, Keyword spotting in unconstrained handwritten Chinese documents using contextual word model, Image and Vision Computing (IVC), 31(12): 958-968, 2013.

22、Cheng-Lin Liu, Fei Yin, Da-Han Wang, Qiu-Feng Wang, Online and offline handwritten Chinese character recognition: Benchmarking on new databases, Pattern Recognition (PR), 46(1): 155-162, 2013.

23、Fei Yin, Qiu-Feng Wang, Cheng-Lin Liu, Transcript mapping for handwritten Chinese documents by integrating character recognition model and geometric context, Pattern Recognition (PR), 46(10): 2807-2818, 2013.

24、Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu, Handwritten Chinese text recognition by integrating multiple contexts, IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI), 34(8): 1469-1481, 2012.

25、Fei Yin, Cheng-Lin Liu, Handwritten Chinese text line segmentation by clustering with distance metric learning, Pattern Recognition (PR), 42(12): 3146-3157, 2009.


Conference Paper:

1、Jun-Bo Zhang, Meng-Biao Zhao, Fei Yin and Cheng-Lin Liu, Sequential Transformer for End-to-End Video Text Detection, WACV2024.

2、Yunfei Guo, Fei Yin, Xiao-hui Li, Xudong Yan , Tao Xue , Shuqi Mei , Cheng-Lin Liu, Visual Traffic Knowledge Graph Generation from Scene Images, ICCV2023.

3、Ming-Liang Zhang, Fei Yin and Cheng-Lin Liu. A Multi-Modal Neural Geometric Solver with Textual Clauses Parsed from Diagram, IJCAI 2023.

4、Yunfei Guo, Fei Yin, Wei Feng, Xudong Yan, Tao Xue, Shuqi Mei, Cheng-Lin Liu, Social relation reasoning based on triangular constraints, AAAI 2023.

5、Ming-Liang Zhang, Fei Yin, Yi-Han Hao, Cheng-Lin Liu, Plane Geometry Diagram Parsing, IJCAI-ECAI 2022.

6、Yunfei Guo, Wei Feng, Fei Yin, Tao Xue, Shuqi Mei, Cheng-Lin Liu,  Learning to Understand Traffic Signs, ACM MM2021.

7、Wei Feng,Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu, Semantic-Aware Video Text Detection, CVPR2021.

8、Jin-Wen Wu,Fei Yin,Yan-Ming Zhang,Xu-Yao Zhang,Cheng-Lin Liu,Graph-to-Graph: Towards Accurate and Interpretable Online Handwritten Mathematical Expression Recognition, AAAI 2021.

9、Wei Feng, Wenhao He, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu, TextDragon: An end-to-end framework for arbitrary shaped text spotting, ICCV 2019.

10、Jin-Wen Wu, Fei Yin, Yan-Ming Zhang, Xu-Yao Zhang, Cheng-Lin Liu, Image-to-Markup Generation via Paired Adversarial Learning, ECML PKDD 2018.

11、Yue Xu, Fei Yin, Zhaoxiang Zhang, Cheng-Lin Liu, Multi-task Layout Analysis for Historical Handwritten Documents Using Fully Convolutional Networks, IJCAI 2018.

12、Hong-Ming Yang, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu, Robust Classification with Convolutional Prototype Learning, CVPR 2018.

13、Wenhao He, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu, Deep direct regression for multi-oriented scene text detection, ICCV 2017.


科研活动

1) 面向网络信息安全的图像视频中的文字语义理解理论与方法,自然科学基金基金重点项目。

2) 基于云计算的移动办公智能交互技术与系统,科技部国家重点研发计划项目。

3) 复杂版面手写图文识别及理解关键技术研究,科技部“创新2030”新一代人工智能重大项