| Global second-order pooling convolutional networks Z Gao, J Xie, Q Wang, P Li Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2019 | 258 | 2019 |
| Towards faster training of global covariance pooling networks by iterative matrix square root normalization P Li, J Xie, Q Wang, Z Gao Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 252 | 2018 |
| Is second-order information helpful for large-scale visual recognition? P Li, J Xie, Q Wang, W Zuo Proceedings of the IEEE international conference on computer vision, 2070-2078, 2017 | 250 | 2017 |
| Deep cnns meet global covariance pooling: Better representation and generalization Q Wang, J Xie, W Zuo, L Zhang, P Li IEEE transactions on pattern analysis and machine intelligence 43 (8), 2582-2597, 2020 | 70 | 2020 |
| Binocular mutual learning for improving few-shot classification Z Zhou, X Qiu, J Xie, J Wu, C Zhang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 30 | 2021 |
| Joint distribution matters: Deep brownian distance covariance for few-shot classification J Xie, F Long, J Lv, Q Wang, P Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 29 | 2022 |
| Deep convolutional features for iris recognition X Tang, J Xie, P Li Biometric Recognition: 12th Chinese Conference, CCBR 2017, Shenzhen, China …, 2017 | 22 | 2017 |
| Global gated mixture of second-order pooling for improving deep convolutional neural networks Q Wang, Z Gao, J Xie, W Zuo, P Li Advances in neural information processing systems 31, 2018 | 16 | 2018 |
| So-vit: Mind visual tokens for vision transformer J Xie, R Zeng, Q Wang, Z Zhou, P Li arXiv preprint arXiv:2104.10935, 2021 | 15 | 2021 |
| SoT: Delving deeper into classification head for transformer J Xie, R Zeng, Q Wang, Z Zhou, P Li arXiv e-prints, arXiv: 2104.10935, 2021 | 3 | 2021 |
| Detachable second-order pooling: Toward high-performance first-order networks L Li, J Xie, P Li, L Zhang IEEE Transactions on Neural Networks and Learning Systems 33 (8), 3400-3414, 2021 | 2 | 2021 |
| DropCov: a simple yet effective method for improving deep architectures Q Wang, M Gao, Z Zhang, J Xie, P Li, Q Hu Advances in Neural Information Processing Systems 35, 33576-33588, 2022 | 1 | 2022 |
| Supplementary Materials for “DropCov: A Simple yet Effective Method for Improving Deep Architectures” Q Wang, M Gao, Z Zhang, J Xie, P Li, Q Hu | | |
Peihua LiDalian University of TechnologyVerified email at dlut.edu.cn
