基本信息 |
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姓名 |
殷飞 |
性别 |
男 |
联系方式 |
fyin@nlpr.ia.ac.cn |
专业技术职务 |
正高级 |
部门/实验室 |
模式识别国家重点实验室 |
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通信地址 |
北京市海淀区中关村东路95号 |
邮编 |
100190 |
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研究领域 |
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模式识别、文档分析、计算机视觉、深度学习 |
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教育背景 |
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2006.9-2010.7 |
中国科学院自动化研究所 |
博士 |
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1999.9-2002.7 |
华中科技大学 |
硕士 |
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1995.9-1999.7 |
西安邮电大学 |
学士 |
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工作经历 |
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2022.1-今 |
中科院自动化所模式识别国家重点实验室 |
研究员 |
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2013.11-2021.12 |
中科院自动化所模式识别国家重点实验室 |
副研究员 |
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2010.7-2013.10 |
中科院自动化所模式识别国家重点实验室 |
助理研究员 |
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2002.7-2006.7 |
深圳中兴通信股份有限公司 |
软件工程师 |
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发表论文 |
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1、Meng-Biao Zhao, Wei Feng,Fei Yin, Cheng-lin Liu. Mixed-Supervised Scene Text Detection with Expectation-Maximization Algorithm, IEEE Trans. Image Processing (TIP), Accepted. 2、Zhuo Chen, Fei Yin, Qing Yang, Cheng-lin Liu, Cross-Lingual Text Image Recognition via Multi-Hierarchy Cross-Modal Mimic, IEEE Trans. Multimedia (TMM), Accepted. 3、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. 4、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. 5、Xiu-Chuan Li, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu, Decision-based adversarial attack with frequency mixup, IEEE Trans. Information Forensics and Security , 17: 1038-1052, 2022. 6、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。 7、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. 8、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. 9、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. 10、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。 11、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。 12、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. 13、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。 14、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. 15、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. 16、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. 17、 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. 18、 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. 19、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. 20、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. 21、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. 22、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. 23、Fei Yin, Cheng-Lin Liu, Handwritten Chinese text line segmentation by clustering with distance metric learning, Pattern Recognition (PR), 42(12): 3146-3157, 2009. |
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专利与奖励 |
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学术竞赛奖励: 1、ICDAR2019 Commpetition on Historical Book Analysis-HBA2019, Challenge 1:Text/Graphic seperation, First Place. 2、ICDAR2019 Commpetition on Historical Book Analysis-HBA2019,Challenge 2:Font discrimination, First Place. 3、ICDAR2017 Commpetition on Reading Chinese Text in the Wild (RCTW-17) Task: End-to-End Recognition, First Place. 4、ICDAR2017 Commpetition on Reading Chinese Text in the Wild (RCTW-17) Task: Text Location, Second Place. 5、ICDAR2017 Competition on Page Object Detection in Document Images, Task A: Formula Detection, Task B: Table Detection, Task C: Figure Detection, Task D: Page Object Detection, First Place. 6、ICFHR 2014 Competition on Handwritten Digit String Recognition in Challenging Datasets (HDSRC14), First Place. 7、ICDAR2013 Competition on Historical Book Recognition (HCR2013) Task: Layout Analysis, First Place. 8、ICDAR2013 Competition on Historical Newspaper Layout Analysis (HNLA2013), First Place. 学术论文奖励: 1、ICFHR2014 Best Poster Paper Award. 2、DAS2020 Best Student Paper Award. 3、ICPR 2020 Best Scientific Paper Award. 4、ACPR 2021 Best Student Paper Award. |
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科研项目 |
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1、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目,2021-2024。 2、面向移动终端的高效率多通道信息输入和内容编辑,科技部国家重点研发计划项目,2019-2021。 3、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,自然科学基金重点项目,2018-2022。 4、基于弱监督学习的中文古籍识别方法研究,自然科学基金面上项目,2016-2019。 5、基于扰动的文字识别理论与关键技术研究,自然科学基金面上项目,2012-2015。 6、混合在线手写识别技术合作项目,企业合作,2021-2022。 7、道路图像数据的多目标关系解析,企业合作,2021-2023。 |