| Towards accurate scene text recognition with semantic reasoning networks D Yu, X Li, C Zhang, T Liu, J Han, J Liu, E Ding Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 322 | 2020 |
| Acfnet: Attentional class feature network for semantic segmentation F Zhang, Y Chen, Z Li, Z Hong, J Liu, F Ma, J Han, E Ding Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 311 | 2019 |
| Star-net: a spatial attention residue network for scene text recognition. W Liu, C Chen, KYK Wong, Z Su, J Han BMVC 2, 7, 2016 | 284 | 2016 |
| Look more than once: An accurate detector for text of arbitrary shapes C Zhang, B Liang, Z Huang, M En, J Han, E Ding, X Ding Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 282 | 2019 |
| Wordsup: Exploiting word annotations for character based text detection H Hu, C Zhang, Y Luo, Y Wang, J Han, E Ding Proceedings of the IEEE international conference on computer vision, 4940-4949, 2017 | 238 | 2017 |
| 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 | 182 | 2019 |
| Structure guided fusion for depth map inpainting F Qi, J Han, P Wang, G Shi, F Li Pattern Recognition Letters 34 (1), 70-76, 2013 | 133 | 2013 |
| ICDAR 2019 competition on large-scale street view text with partial labeling-RRC-LSVT Y Sun, Z Ni, CK Chng, Y Liu, C Luo, CC Ng, J Han, E Ding, J Liu, ... 2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019 | 119 | 2019 |
| Editing text in the wild L Wu, C Zhang, J Liu, J Han, J Liu, E Ding, X Bai Proceedings of the 27th ACM international conference on multimedia, 1500-1508, 2019 | 113 | 2019 |
| Expressive talking head generation with granular audio-visual control B Liang, Y Pan, Z Guo, H Zhou, Z Hong, X Han, J Han, J Liu, E Ding, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 98 | 2022 |
| Structext: Structured text understanding with multi-modal transformers Y Li, Y Qian, Y Yu, X Qin, C Zhang, Y Liu, K Yao, J Han, J Liu, E Ding Proceedings of the 29th ACM International Conference on Multimedia, 1912-1920, 2021 | 94 | 2021 |
| NTIRE 2021 challenge on image deblurring S Nah, S Son, S Lee, R Timofte, KM Lee, L Chen, J Zhang, X Lu, X Chu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 76 | 2021 |
| Textnet: Irregular text reading from images with an end-to-end trainable network Y Sun, C Zhang, Z Huang, J Liu, J Han, E Ding Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 70 | 2019 |
| Pgnet: Real-time arbitrarily-shaped text spotting with point gathering network P Wang, C Zhang, F Qi, S Liu, X Zhang, P Lyu, J Han, J Liu, E Ding, G Shi Proceedings of the AAAI Conference on Artificial Intelligence 35 (4), 2782-2790, 2021 | 67 | 2021 |
| A single-shot arbitrarily-shaped text detector based on context attended multi-task learning P Wang, C Zhang, F Qi, Z Huang, M En, J Han, J Liu, E Ding, G Shi Proceedings of the 27th ACM international conference on multimedia, 1277-1285, 2019 | 55 | 2019 |
| Vista: Vision and scene text aggregation for cross-modal retrieval M Cheng, Y Sun, L Wang, X Zhu, K Yao, J Chen, G Song, J Han, J Liu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 54 | 2022 |
| Learning generalized spoof cues for face anti-spoofing H Feng, Z Hong, H Yue, Y Chen, K Wang, J Han, J Liu, E Ding arXiv preprint arXiv:2005.03922, 2020 | 54 | 2020 |
| Chinese street view text: Large-scale chinese text reading with partially supervised learning Y Sun, J Liu, W Liu, J Han, E Ding, J Liu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 54 | 2019 |
| Pyramidbox++: High performance detector for finding tiny face Z Li, X Tang, J Han, J Liu, R He arXiv preprint arXiv:1904.00386, 2019 | 51 | 2019 |
| Singular value fine-tuning: Few-shot segmentation requires few-parameters fine-tuning Y Sun, Q Chen, X He, J Wang, H Feng, J Han, E Ding, J Cheng, Z Li, ... Advances in Neural Information Processing Systems 35, 37484-37496, 2022 | 50 | 2022 |
