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、几何题自动解题与批阅
招生信息
招生专业
招生方向
教育背景
工作经历
工作简历
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), 132: 805-821,2024.
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、Zhong-Zhi Li, Ming-Liang Zhang, Fei Yin, Cheng-Lin Liu, LANS: A Layout-Aware Neural Solver for Plane Geometry Problem, ACL2024.
2、Jiaxin Zhang, Zhongzhi Li, Mingliang Zhang, Fei Yin, Chenglin Liu, Yashar Moshfeghi, GeoEval: Benchmark for Evaluating LLMs and Multi-Modal Models on Geometry Problem-Solving, ACL2024.
3、Jun-Bo Zhang, Meng-Biao Zhao, Fei Yin and Cheng-Lin Liu, Sequential Transformer for End-to-End Video Text Detection, WACV2024.
4、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.
5、Ming-Liang Zhang, Fei Yin and Cheng-Lin Liu. A Multi-Modal Neural Geometric Solver with Textual Clauses Parsed from Diagram, IJCAI 2023.
6、Yunfei Guo, Fei Yin, Wei Feng, Xudong Yan, Tao Xue, Shuqi Mei, Cheng-Lin Liu, Social relation reasoning based on triangular constraints, AAAI 2023.
7、Ming-Liang Zhang, Fei Yin, Yi-Han Hao, Cheng-Lin Liu, Plane Geometry Diagram Parsing, IJCAI-ECAI 2022.
8、Yunfei Guo, Wei Feng, Fei Yin, Tao Xue, Shuqi Mei, Cheng-Lin Liu, Learning to Understand Traffic Signs, ACM MM2021.
9、Wei Feng,Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu, Semantic-Aware Video Text Detection, CVPR2021.
10、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.
11、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.
12、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.
13、Yue Xu, Fei Yin, Zhaoxiang Zhang, Cheng-Lin Liu, Multi-task Layout Analysis for Historical Handwritten Documents Using Fully Convolutional Networks, IJCAI 2018.
14、Hong-Ming Yang, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu, Robust Classification with Convolutional Prototype Learning, CVPR 2018.
15、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)基于神经符号系统的数学推理研究 ,自然科学基金基金重点项目。
2)复杂图文混合文档图像的识别与理解,自然科学基金基金重点项目。
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目。