| Focusing attention: Towards accurate text recognition in natural images Z Cheng, F Bai, Y Xu, G Zheng, S Pu, S Zhou Proceedings of the IEEE international conference on computer vision, 5076-5084, 2017 | 564 | 2017 |
| AON: Towards Arbitrarily-Oriented Text Recognition Z Cheng, X Liu, F Bai, Y Niu, S Pu, S Zhou Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 340 | 2018 |
| Edit probability for scene text recognition F Bai, Z Cheng, Y Niu, S Pu, S Zhou proceedings of the IEEE conference on computer vision and pattern …, 2018 | 155 | 2018 |
| Text perceptron: Towards end-to-end arbitrary-shaped text spotting L Qiao, S Tang, Z Cheng, Y Xu, Y Niu, S Pu, F Wu Proceedings of the AAAI conference on artificial intelligence 34 (07), 11899 …, 2020 | 109 | 2020 |
| TRIE: end-to-end text reading and information extraction for document understanding P Zhang, Y Xu, Z Cheng, S Pu, J Lu, L Qiao, Y Niu, F Wu Proceedings of the 28th ACM International Conference on Multimedia, 1413-1422, 2020 | 97 | 2020 |
| Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection Y Xu, C Zhang, Z Cheng, J Xie, Y Niu, S Pu, F Wu Association for the Advancement of Artificial Intelligence (AAAI 2019), 2019 | 88 | 2019 |
| Mango: A mask attention guided one-stage scene text spotter L Qiao, Y Chen, Z Cheng, Y Xu, Y Niu, S Pu, F Wu Proceedings of the AAAI Conference on Artificial Intelligence 35 (3), 2467-2476, 2021 | 77 | 2021 |
| Lgpma: Complicated table structure recognition with local and global pyramid mask alignment L Qiao, Z Li, Z Cheng, P Zhang, S Pu, Y Niu, W Ren, W Tan, F Wu International conference on document analysis and recognition, 99-114, 2021 | 75 | 2021 |
| Adversarial Seeded Sequence Growing for Weakly-Supervised Temporal Action Localization C Zhang, Y Xu, Z Cheng, Y Niu, S Pu, F Wu, F Zou ACM MultiMedia 2019, 2019 | 60* | 2019 |
| VSR: a unified framework for document layout analysis combining vision, semantics and relations P Zhang, C Li, L Qiao, Z Cheng, S Pu, Y Niu, F Wu Document Analysis and Recognition–ICDAR 2021: 16th International Conference …, 2021 | 56 | 2021 |
| Pmal: Open set recognition via robust prototype mining J Lu, Y Xu, H Li, Z Cheng, Y Niu Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 1872-1880, 2022 | 47 | 2022 |
| You only recognize once: Towards fast video text spotting Z Cheng, J Lu, Y Niu, S Pu, F Wu, S Zhou Proceedings of the 27th ACM International Conference on Multimedia, 855-863, 2019 | 39 | 2019 |
| Selecting high-quality negative samples for effectively predicting protein-RNA interactions Z Cheng, K Huang, Y Wang, H Liu, J Guan, S Zhou BMC Systems Biology 11 (S-2), 9:1--9:11, 2017 | 39 | 2017 |
| Step: Out-of-distribution detection in the presence of limited in-distribution labeled data Z Zhou, LZ Guo, Z Cheng, YF Li, S Pu Advances in Neural Information Processing Systems 34, 29168-29180, 2021 | 38 | 2021 |
| Computationally predicting protein-RNA interactions using only positive and unlabeled examples Z Cheng, S Zhou, J Guan J. Bioinformatics and Computational Biology 13 (3), 2015 | 37 | 2015 |
| Free: A fast and robust end-to-end video text spotter Z Cheng, J Lu, B Zou, L Qiao, Y Xu, S Pu, Y Niu, F Wu, S Zhou IEEE Transactions on Image Processing 30, 822-837, 2020 | 34 | 2020 |
| SPIN: Structure-preserving inner offset network for scene text recognition C Zhang, Y Xu, Z Cheng, S Pu, Y Niu, F Wu, F Zou Proceedings of the AAAI conference on artificial intelligence 35 (4), 3305-3314, 2021 | 32 | 2021 |
| Few-shot class-incremental learning via class-aware bilateral distillation L Zhao, J Lu, Y Xu, Z Cheng, D Guo, Y Niu, X Fang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 29 | 2023 |
| Effectively identifying compound-protein interactions by learning from positive and unlabeled examples Z Cheng, S Zhou, Y Wang, H Liu, J Guan, YPP Chen IEEE/ACM transactions on computational biology and bioinformatics, 1-1, 2016 | 29 | 2016 |
| Flooding-X: Improving BERT’s resistance to adversarial attacks via loss-restricted fine-tuning Q Liu, R Zheng, B Rong, J Liu, Z Liu, Z Cheng, L Qiao, T Gui, Q Zhang, ... Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 28 | 2022 |
Shuigeng ZhouFudan University在 fudan.edu.cn 的电子邮件经过验证
