What is wrong with scene text recognition model comparisons? dataset and model analysis J Baek, G Kim, J Lee, S Park, D Han, S Yun, SJ Oh, H Lee Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 626 | 2019 |
CORD: a consolidated receipt dataset for post-OCR parsing S Park, S Shin, B Lee, J Lee, J Surh, M Seo, H Lee Workshop on Document Intelligence at NeurIPS 2019, 2019 | 193 | 2019 |
On recognizing texts of arbitrary shapes with 2D self-attention J Lee, S Park, J Baek, SJ Oh, S Kim, H Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 150 | 2020 |
Character region attention for text spotting Y Baek, S Shin, J Baek, S Park, J Lee, D Nam, H Lee Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 75 | 2020 |
Post-ocr parsing: building simple and robust parser via bio tagging W Hwang, S Kim, M Seo, J Yim, S Park, S Park, J Lee, B Lee, H Lee Workshop on Document Intelligence at NeurIPS 2019, 2019 | 42 | 2019 |
RewriteNet: Reliable Scene Text Editing with Implicit Decomposition of Text Contents and Styles J Lee, Y Kim, S Kim, M Yim, S Shin, G Lee, S Park CVPRW 2022 - AI for Content Creation Workshop, 2022 | 15* | 2022 |
Metadata based combined approach for effective collaborative recommendation KS Kim, JY Lee, YS Choi Proceedings of the 2014 Conference on Research in Adaptive and Convergent …, 2014 | 1 | 2014 |
Group-Transformer: Towards A Lightweight Character-level Language Model S Park, G Kim, J Lee, J Cha, JHKH Lee | | |