Projects

Z. Kuang, H. Sun, Z. Li, X. Yue, T.H. Lin, J. Chen, H. Wei, Y. Zhu, T. Gao, W. Zhang, K. Chen, W. Zhang and D. Lin.
MMOCR: A comprehensive toolbox for text detection, recognition and understanding.
Proc. ACM Multimedia (MM) Open Source Software Competition, 2021. [code]

An open-source toolbox for text detection, recognition and understanding.

X. Yue, Z. Kuang, Z. Zhang, Z. Chen, P. He, Y. Qiao and W. Zhang.
Boosting up scene text detectors with guided CNN.
British Machine Vision Conference (BMVC), 2018. (Oral presentation, acceptance rate: 6.5%) [paper]

A general framework for speeding up scene text detection. Demonstrated performance on two state-of-the-art methods, CTPN and EAST.

Y. Xu, J. Duan, Z. Kuang, X. Yue, H. Sun, Y. Guan and W. Zhang.
Geometry normalization networks for accurate scene text detection.
Proc. International Conf. on Computer Vision (ICCV), 2019. [github] [blog (in Chinese)]

A general framework for handling large geometry (scale and orientation) variances in scene text detection. Demonstrated performance on two state-of-the-art methods, EAST and PSENet.

Y. Zhu, J. Chen, L. Liang, Z. Kuang, L. Jin and W. Zhang.
Fourier contour embedding for arbitrary-shaped text detection.
Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2021. [code in MMOCR]

Our team won the first runner-up in Scene text recognition (Chinese and Latin) Task of ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (ICDAR 2019-ArT). [results]

X. Yue, Z. Kuang, C. Lin, H. Sun and W. Zhang.
RobustScanner: Dynamically enhancing positional clues for robust text recognition.
Proc. European Conf. on Computer Vision (ECCV), 2020. (Acceptance rate: 27%) [paper] [blog (in Chinese)] [code in MMOCR]