| Deep high-resolution representation learning for visual recognition J Wang, K Sun, T Cheng, B Jiang, C Deng, Y Zhao, D Liu, Y Mu, M Tan, ... IEEE transactions on pattern analysis and machine intelligence, 2020 | 3465 | 2020 |
| Ccnet: Criss-cross attention for semantic segmentation Z Huang, X Wang, L Huang, C Huang, Y Wei, W Liu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 | 2977 | 2020 |
| A weakly-supervised framework for COVID-19 classification and lesion localization from chest CT X Wang, X Deng, Q Fu, Q Zhou, J Feng, H Ma, W Liu, C Zheng IEEE transactions on medical imaging 39 (8), 2615-2625, 2020 | 1316* | 2020 |
| Fairmot: On the fairness of detection and re-identification in multiple object tracking Y Zhang, C Wang, X Wang, W Zeng, W Liu International Journal of Computer Vision 129 (11), 3069-3087, 2021 | 1311* | 2021 |
| Mask scoring r-cnn Z Huang, L Huang, Y Gong, C Huang, X Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1135 | 2019 |
| Bytetrack: Multi-object tracking by associating every detection box Y Zhang, P Sun, Y Jiang, D Yu, F Weng, Z Yuan, P Luo, W Liu, X Wang European conference on computer vision, 1-21, 2022 | 1110 | 2022 |
| Textboxes: A fast text detector with a single deep neural network M Liao, B Shi, X Bai, X Wang, W Liu Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 1029 | 2017 |
| High-resolution representations for labeling pixels and regions K Sun, Y Zhao, B Jiang, T Cheng, B Xiao, D Liu, Y Mu, X Wang, W Liu, ... arXiv preprint arXiv:1904.04514, 2019 | 880 | 2019 |
| Aster: An attentional scene text recognizer with flexible rectification B Shi, M Yang, X Wang, P Lyu, C Yao, X Bai IEEE transactions on pattern analysis and machine intelligence 41 (9), 2035-2048, 2018 | 814 | 2018 |
| Robust scene text recognition with automatic rectification B Shi, X Wang, P Lyu, C Yao, X Bai Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 737 | 2016 |
| Deepcontour: A deep convolutional feature learned by positive-sharing loss for contour detection W Shen, X Wang, Y Wang, X Bai, Z Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 669 | 2015 |
| Weakly-supervised semantic segmentation network with deep seeded region growing Z Huang, X Wang, J Wang, W Liu, J Wang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 643 | 2018 |
| Multiple instance detection network with online instance classifier refinement P Tang, X Wang, X Bai, W Liu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 497 | 2017 |
| Mancs: A multi-task attentional network with curriculum sampling for person re-identification C Wang, Q Zhang, C Huang, W Liu, X Wang Proceedings of the European conference on computer vision (ECCV), 365-381, 2018 | 466 | 2018 |
| Revisiting multiple instance neural networks X Wang, Y Yan, P Tang, X Bai, W Liu Pattern Recognition 74, 15-24, 2018 | 444 | 2018 |
| Eva: Exploring the limits of masked visual representation learning at scale Y Fang, W Wang, B Xie, Q Sun, L Wu, X Wang, T Huang, X Wang, Y Cao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 406 | 2023 |
| Pcl: Proposal cluster learning for weakly supervised object detection P Tang, X Wang, S Bai, W Shen, X Bai, W Liu, A Yuille IEEE transactions on pattern analysis and machine intelligence 42 (1), 176-191, 2018 | 390 | 2018 |
| Unsupervised domain adaptive re-identification: Theory and practice L Song, C Wang, L Zhang, B Du, Q Zhang, C Huang, X Wang Pattern Recognition 102, 107173, 2020 | 378 | 2020 |
| Instances as queries Y Fang, S Yang, X Wang, Y Li, C Fang, Y Shan, B Feng, W Liu Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 267 | 2021 |
| You only look at one sequence: Rethinking transformer in vision through object detection Y Fang, B Liao, X Wang, J Fang, J Qi, R Wu, J Niu, W Liu Advances in Neural Information Processing Systems 34, 26183-26197, 2021 | 264 | 2021 |
Wenyu LiuHuazhong University of Science and Technology在 hust.edu.cn 的电子邮件经过验证
