| Few could be better than all: Feature sampling and grouping for scene text detection J Tang, W Zhang, H Liu, MK Yang, B Jiang, G Hu, X Bai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 63 | 2022 |
| Spts v2: single-point scene text spotting Y Liu, J Zhang, D Peng, M Huang, X Wang, J Tang, C Huang, D Lin, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 17 | 2023 |
| Unidoc: A universal large multimodal model for simultaneous text detection, recognition, spotting and understanding H Feng, Z Wang, J Tang, J Lu, W Zhou, H Li, C Huang arXiv preprint arXiv:2308.11592, 2023 | 14 | 2023 |
| You can even annotate text with voice: Transcription-only-supervised text spotting J Tang, S Qiao, B Cui, Y Ma, S Zhang, D Kanoulas Proceedings of the 30th ACM International Conference on Multimedia, 4154-4163, 2022 | 9 | 2022 |
| Optimal boxes: boosting end-to-end scene text recognition by adjusting annotated bounding boxes via reinforcement learning J Tang, W Qian, L Song, X Dong, L Li, X Bai European Conference on Computer Vision, 233-248, 2022 | 3 | 2022 |
| TextSquare: Scaling up Text-Centric Visual Instruction Tuning J Tang, C Lin, Z Zhao, S Wei, B Wu, Q Liu, H Feng, Y Li, S Wang, L Liao, ... arXiv preprint arXiv:2404.12803, 2024 | | 2024 |
| Multi-modal In-Context Learning Makes an Ego-evolving Scene Text Recognizer Z Zhao, J Tang, B Wu, C Lin, H Liu, Z Zhang, X Tan, C Huang, Y Xie arXiv preprint arXiv:2311.13120, 2023 | | 2023 |
| Character recognition competition for street view shop signs J Tang, W Du, B Wang, W Zhou, S Mei, T Xue, X Xu, H Zhang National Science Review 10 (6), nwad141, 2023 | | 2023 |
