| Unsupervised person re-identification by soft multilabel learning HX Yu, WS Zheng, A Wu, X Guo, S Gong, JH Lai Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 447 | 2019 |
| Pyramidal person re-identification via multi-loss dynamic training F Zheng, C Deng, X Sun, X Jiang, X Guo, Z Yu, F Huang, R Ji Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 431 | 2019 |
| Dynamic refinement network for oriented and densely packed object detection X Pan, Y Ren, K Sheng, W Dong, H Yuan, X Guo, C Ma, C Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 309 | 2020 |
| Asymmetric co-teaching for unsupervised cross-domain person re-identification F Yang, K Li, Z Zhong, Z Luo, X Sun, H Cheng, X Guo, F Huang, R Ji, S Li Proceedings of the AAAI conference on artificial intelligence 34 (07), 12597 …, 2020 | 172 | 2020 |
| Toward an expert level of lung cancer detection and classification using a deep convolutional neural network C Zhang, X Sun, K Dang, K Li, X Guo, J Chang, Z Yu, F Huang, Y Wu, ... The oncologist 24 (9), 1159-1165, 2019 | 122 | 2019 |
| Aware loss with angular regularization for person re-identification Z Zhu, X Jiang, F Zheng, X Guo, F Huang, X Sun, W Zheng Proceedings of the AAAI conference on artificial intelligence 34 (07), 13114 …, 2020 | 116 | 2020 |
| Pruning filter in filter F Meng, H Cheng, K Li, H Luo, X Guo, G Lu, X Sun Advances in Neural Information Processing Systems 33, 17629-17640, 2020 | 110 | 2020 |
| Distilled person re-identification: Towards a more scalable system A Wu, WS Zheng, X Guo, JH Lai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 108 | 2019 |
| Part-aware progressive unsupervised domain adaptation for person re-identification F Yang, K Yan, S Lu, H Jia, D Xie, Z Yu, X Guo, F Huang, W Gao IEEE Transactions on Multimedia 23, 1681-1695, 2020 | 77 | 2020 |
| Adversarial attribute-image person re-identification Z Yin, WS Zheng, A Wu, HX Yu, H Wan, X Guo, F Huang, J Lai arXiv preprint arXiv:1712.01493, 2017 | 73 | 2017 |
| Contextual non-local alignment over full-scale representation for text-based person search C Gao, G Cai, X Jiang, F Zheng, J Zhang, Y Gong, P Peng, X Guo, X Sun arXiv preprint arXiv:2101.03036, 2021 | 72 | 2021 |
| Transformer-based dual relation graph for multi-label image recognition J Zhao, K Yan, Y Zhao, X Guo, F Huang, J Li Proceedings of the IEEE/CVF international conference on computer vision, 163-172, 2021 | 72 | 2021 |
| Automatic script identification in the wild B Shi, C Yao, C Zhang, X Guo, F Huang, X Bai 2015 13th International Conference on Document Analysis and Recognition …, 2015 | 71 | 2015 |
| 3D convolutional neural network for differentiating pre-invasive lesions from invasive adenocarcinomas appearing as ground-glass nodules with diameters≤ 3 cm using HRCT S Wang, R Wang, S Zhang, R Li, Y Fu, X Sun, Y Li, X Sun, X Jiang, X Guo, ... Quantitative imaging in medicine and surgery 8 (5), 491, 2018 | 56 | 2018 |
| Towards convolutional neural networks compression via global error reconstruction. S Lin, R Ji, X Guo, X Li IJCAI, 1753-1759, 2016 | 53 | 2016 |
| Do not disturb me: Person re-identification under the interference of other pedestrians S Zhao, C Gao, J Zhang, H Cheng, C Han, X Jiang, X Guo, WS Zheng, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 52 | 2020 |
| Semi-supervised adversarial monocular depth estimation R Ji, K Li, Y Wang, X Sun, F Guo, X Guo, Y Wu, F Huang, J Luo IEEE transactions on pattern analysis and machine intelligence 42 (10), 2410 …, 2019 | 52 | 2019 |
| Enhancing unsupervised video representation learning by decoupling the scene and the motion J Wang, Y Gao, K Li, J Hu, X Jiang, X Guo, R Ji, X Sun Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 10129 …, 2021 | 49 | 2021 |
| Noh-nms: Improving pedestrian detection by nearby objects hallucination P Zhou, C Zhou, P Peng, J Du, X Sun, X Guo, F Huang Proceedings of the 28th ACM International Conference on Multimedia, 1967-1975, 2020 | 38 | 2020 |
| Disco: Remedying self-supervised learning on lightweight models with distilled contrastive learning Y Gao, JX Zhuang, S Lin, H Cheng, X Sun, K Li, C Shen European Conference on Computer Vision, 237-253, 2022 | 37 | 2022 |
