| Moran: A multi-object rectified attention network for scene text recognition C Luo, L Jin, Z Sun Pattern Recognition 90, 109-118, 2019 | 417 | 2019 |
| Deep matching prior network: Toward tighter multi-oriented text detection Y Liu, L Jin Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 394 | 2017 |
| High performance offline handwritten chinese character recognition using googlenet and directional feature maps Z Zhong, L Jin, Z Xie 2015 13th international conference on document analysis and recognition …, 2015 | 387 | 2015 |
| Activity recognition from acceleration data based on discrete consine transform and SVM Z He, L Jin 2009 IEEE international conference on systems, man and cybernetics, 5041-5044, 2009 | 386 | 2009 |
| Abcnet: Real-time scene text spotting with adaptive bezier-curve network Y Liu, H Chen, C Shen, T He, L Jin, L Wang proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 350 | 2020 |
| A new facial expression recognition method based on local Gabor filter bank and PCA plus LDA HB Deng, LW Jin, LX Zhen, JC Huang International Journal of Information Technology 11 (11), 86-96, 2005 | 341 | 2005 |
| A new CNN-based method for multi-directional car license plate detection L Xie, T Ahmad, L Jin, Y Liu, S Zhang IEEE Transactions on Intelligent Transportation Systems 19 (2), 507-517, 2018 | 315 | 2018 |
| Detecting curve text in the wild: New dataset and new solution L Yuliang, J Lianwen, Z Shuaitao, Z Sheng arXiv preprint arXiv:1712.02170, 2017 | 293 | 2017 |
| Decoupled attention network for text recognition T Wang, Y Zhu, L Jin, C Luo, X Chen, Y Wu, Q Wang, M Cai Proceedings of the AAAI conference on artificial intelligence 34 (07), 12216 …, 2020 | 270 | 2020 |
| Curved scene text detection via transverse and longitudinal sequence connection Y Liu, L Jin, S Zhang, C Luo, S Zhang Pattern Recognition 90, 337-345, 2019 | 258 | 2019 |
| Activity recognition from acceleration data using AR model representation and SVM ZY He, LW Jin 2008 international conference on machine learning and cybernetics 4, 2245-2250, 2008 | 250 | 2008 |
| Text recognition in the wild: A survey X Chen, L Jin, Y Zhu, C Luo, T Wang ACM Computing Surveys (CSUR) 54 (2), 1-35, 2021 | 200 | 2021 |
| Deeptext: A new approach for text proposal generation and text detection in natural images Z Zhong, L Jin, S Huang 2017 IEEE international conference on acoustics, speech and signal …, 2017 | 195 | 2017 |
| Fourier contour embedding for arbitrary-shaped text detection Y Zhu, J Chen, L Liang, Z Kuang, L Jin, W Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 194 | 2021 |
| Person re-identification by regularized smoothing kiss metric learning D Tao, L Jin, Y Wang, Y Yuan, X Li IEEE Transactions on Circuits and Systems for Video Technology 23 (10), 1675 …, 2013 | 193 | 2013 |
| A novel feature extraction method using pyramid histogram of orientation gradients for smile recognition Y Bai, L Guo, L Jin, Q Huang 2009 16th IEEE International Conference on Image Processing (ICIP), 3305-3308, 2009 | 185 | 2009 |
| Icdar2019 robust reading challenge on arbitrary-shaped text-rrc-art CK Chng, Y Liu, Y Sun, CC Ng, C Luo, Z Ni, CM Fang, S Zhang, J Han, ... 2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019 | 181 | 2019 |
| SCUT-FBP5500: A diverse benchmark dataset for multi-paradigm facial beauty prediction L Liang, L Lin, L Jin, D Xie, M Li 2018 24th International conference on pattern recognition (ICPR), 1598-1603, 2018 | 178 | 2018 |
| Building fast and compact convolutional neural networks for offline handwritten Chinese character recognition X Xiao, L Jin, Y Yang, W Yang, J Sun, T Chang Pattern Recognition 72, 72-81, 2017 | 170 | 2017 |
| DropSample: A new training method to enhance deep convolutional neural networks for large-scale unconstrained handwritten Chinese character recognition W Yang, L Jin, D Tao, Z Xie, Z Feng Pattern Recognition 58, 190-203, 2016 | 159 | 2016 |
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