| Gliding vertex on the horizontal bounding box for multi-oriented object detection Y Xu, M Fu, Q Wang, Y Wang, K Chen, GS Xia, X Bai IEEE transactions on pattern analysis and machine intelligence 43 (4), 1452-1459, 2020 | 640 | 2020 |
| Textfield: Learning a deep direction field for irregular scene text detection Y Xu, Y Wang, W Zhou, Y Wang, Z Yang, X Bai IEEE Transactions on Image Processing 28 (11), 5566-5579, 2019 | 318 | 2019 |
| Standardized assessment of automatic segmentation of white matter hyperintensities and results of the WMH segmentation challenge HJ Kuijf, JM Biesbroek, J De Bresser, R Heinen, S Andermatt, M Bento, ... IEEE transactions on medical imaging 38 (11), 2556-2568, 2019 | 273 | 2019 |
| Deep-person: Learning discriminative deep features for person re-identification X Bai, M Yang, T Huang, Z Dou, R Yu, Y Xu Pattern Recognition 98, 107036, 2020 | 269 | 2020 |
| Benchmark on automatic six-month-old infant brain segmentation algorithms: the iSeg-2017 challenge L Wang, D Nie, G Li, É Puybareau, J Dolz, Q Zhang, F Wang, J Xia, Z Wu, ... IEEE transactions on medical imaging 38 (9), 2219-2230, 2019 | 191 | 2019 |
| Hard-aware point-to-set deep metric for person re-identification R Yu, Z Dou, S Bai, Z Zhang, Y Xu, X Bai Proceedings of the European conference on computer vision (ECCV), 188-204, 2018 | 171 | 2018 |
| Seglink++: Detecting dense and arbitrary-shaped scene text by instance-aware component grouping J Tang, Z Yang, Y Wang, Q Zheng, Y Xu, X Bai Pattern recognition 96, 106954, 2019 | 155 | 2019 |
| Learn to scale: Generating multipolar normalized density maps for crowd counting C Xu, K Qiu, J Fu, S Bai, Y Xu, X Bai Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 144 | 2019 |
| All you need is boundary: Toward arbitrary-shaped text spotting H Wang, P Lu, H Zhang, M Yang, X Bai, Y Xu, M He, Y Wang, W Liu Proceedings of the AAAI conference on artificial intelligence 34 (07), 12160 …, 2020 | 136 | 2020 |
| Intra-class feature variation distillation for semantic segmentation Y Wang, W Zhou, T Jiang, X Bai, Y Xu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 130 | 2020 |
| Predicting COVID-19 malignant progression with AI techniques X Bai, C Fang, Y Zhou, S Bai, Z Liu, Q Chen, Y Xu, T Xia, S Gong, X Xie, ... MedRxiv, 2020.03. 20.20037325, 2020 | 122 | 2020 |
| Autoscale: Learning to scale for crowd counting C Xu, D Liang, Y Xu, S Bai, W Zhan, X Bai, M Tomizuka International Journal of Computer Vision 130 (2), 405-434, 2022 | 98 | 2022 |
| Affinity space adaptation for semantic segmentation across domains W Zhou, Y Wang, J Chu, J Yang, X Bai, Y Xu IEEE Transactions on Image Processing 30, 2549-2561, 2020 | 85 | 2020 |
| Deep learning for detecting cerebral aneurysms with CT angiography J Yang, M Xie, C Hu, O Alwalid, Y Xu, J Liu, T Jin, C Li, D Tu, X Liu, ... Radiology 298 (1), 155-163, 2021 | 79 | 2021 |
| Integrating scene text and visual appearance for fine-grained image classification X Bai, M Yang, P Lyu, Y Xu, J Luo IEEE Access 6, 66322-66335, 2018 | 79 | 2018 |
| Connected filtering on tree-based shape-spaces Y Xu, T Géraud, L Najman IEEE transactions on pattern analysis and machine intelligence 38 (6), 1126-1140, 2015 | 78 | 2015 |
| Tree-based morse regions: A topological approach to local feature detection Y Xu, P Monasse, T Géraud, L Najman IEEE Transactions on Image Processing 23 (12), 5612-5625, 2014 | 69 | 2014 |
| Morphological filtering in shape spaces: Applications using tree-based image representations Y Xu, T Géraud, L Najman Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 69 | 2012 |
| Hierarchical segmentation using tree-based shape spaces Y Xu, E Carlinet, T Géraud, L Najman IEEE transactions on pattern analysis and machine intelligence 39 (3), 457-469, 2016 | 63 | 2016 |
| AutoSTR: efficient backbone search for scene text recognition H Zhang, Q Yao, M Yang, Y Xu, X Bai Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 61 | 2020 |
Xiang BaiHuazhong University of Science and Technology (HUST)在 hust.edu.cn 的电子邮件经过验证
