| 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 | 1310 | 2020 |
| 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 | 1238 | 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 | 860* | 2020 |
| Textboxes: A fast text detector with a single deep neural network M Liao, B Shi, X Bai, X Wang, W Liu Thirty-first AAAI conference on artificial intelligence, 2017 | 717 | 2017 |
| 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 | 627 | 2019 |
| 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 | 523 | 2015 |
| 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 | 505 | 2016 |
| 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 | 480 | 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 | 430 | 2018 |
| 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 | 402 | 2018 |
| FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking Y Zhang, C Wang, X Wang, Z Wenjun, L Wenyu International Journal of Computer Vision 129, 3069–3087, 2021 | 374* | 2021 |
| 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 | 345 | 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 | 323 | 2017 |
| 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 | 250 | 2020 |
| Revisiting multiple instance neural networks X Wang, Y Yan, P Tang, X Bai, W Liu Pattern Recognition 74, 15-24, 2018 | 249 | 2018 |
| 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 | 232 | 2018 |
| Traffic sign detection and recognition using fully convolutional network guided proposals Y Zhu, C Zhang, D Zhou, X Wang, X Bai, W Liu Neurocomputing 214, 758-766, 2016 | 190 | 2016 |
| Bag of contour fragments for robust shape classification X Wang, B Feng, X Bai, W Liu, LJ Latecki Pattern recognition 47 (6), 2116-2125, 2014 | 182 | 2014 |
| Deep learning representation using autoencoder for 3D shape retrieval Z Zhu, X Wang, S Bai, C Yao, X Bai Neurocomputing 204, 41-50, 2016 | 174 | 2016 |
| Co-transduction for shape retrieval X Bai, B Wang, X Wang, W Liu, Z Tu Computer Vision–ECCV 2010, 328-341, 2010 | 172 | 2010 |
Wenyu LiuHuazhong University of Science and TechnologyVerified email at hust.edu.cn
