| 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 43 (10), 3349 …, 2020 | 4082 | 2020 |
| Ccnet: Criss-cross attention for semantic segmentation Z Huang, X Wang, L Huang, C Huang, Y Wei, W Liu Proceedings of the IEEE/CVF international conference on computer vision, 603-612, 2019 | 3356 | 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 | 1606 | 2022 |
| 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, 3069-3087, 2021 | 1604 | 2021 |
| 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 | 1103 | 2017 |
| Detecting texts of arbitrary orientations in natural images C Yao, X Bai, W Liu, Y Ma, Z Tu 2012 IEEE conference on computer vision and pattern recognition, 1083-1090, 2012 | 1071 | 2012 |
| 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 | 968 | 2019 |
| Mining user similarity based on location history Q Li, Y Zheng, X Xie, Y Chen, W Liu, WY Ma Proceedings of the 16th ACM SIGSPATIAL international conference on Advances …, 2008 | 934 | 2008 |
| Deep learning-based detection for COVID-19 from chest CT using weak label C Zheng, X Deng, Q Fu, Q Zhou, J Feng, H Ma, W Liu, X Wang MedRxiv, 2020.03. 12.20027185, 2020 | 766 | 2020 |
| Multi-oriented text detection with fully convolutional networks Z Zhang, C Zhang, W Shen, C Yao, W Liu, X Bai Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 729 | 2016 |
| Vision mamba: Efficient visual representation learning with bidirectional state space model L Zhu, B Liao, Q Zhang, X Wang, W Liu, X Wang arXiv preprint arXiv:2401.09417, 2024 | 723 | 2024 |
| Minimizing electricity cost: Optimization of distributed internet data centers in a multi-electricity-market environment L Rao, X Liu, L Xie, W Liu 2010 Proceedings IEEE INFOCOM, 1-9, 2010 | 695 | 2010 |
| 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 | 678 | 2018 |
| 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 | 668 | 2020 |
| Skeleton pruning by contour partitioning with discrete curve evolution X Bai, LJ Latecki, WY Liu IEEE transactions on pattern analysis and machine intelligence 29 (3), 449-462, 2007 | 584 | 2007 |
| 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 | 534 | 2017 |
| Revisiting multiple instance neural networks X Wang, Y Yan, P Tang, X Bai, W Liu Pattern recognition 74, 15-24, 2018 | 496 | 2018 |
| 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 | 485 | 2018 |
| Strokelets: A learned multi-scale representation for scene text recognition C Yao, X Bai, B Shi, W Liu Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 473 | 2014 |
| 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 | 416 | 2018 |
Xinggang WangProfessor, Huazhong University of Science and Technology在 hust.edu.cn 的電子郵件地址已通過驗證
