Projects

Text Understanding in Visual Data

We focus on Arbitrary-Shaped Text detection and Recognition and related Natual Language Processing tasks for understanding these text.

Text Detection

 
  • 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]

    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.

Text Recognition

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]





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