| 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 | 129 | 2017 |
| 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 | 107 | 2018 |
| 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 | 64 | 2019 |
| Deep Convolutional Features for Iris Recognition X Tang, J Xie, P Li Chinese Conference on Biometric Recognition, 391-400, 2017 | 11 | 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, 2020 | 9 | 2020 |
| 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, 2020 | 9 | 2020 |
| Global gated mixture of second-order pooling for improving deep convolutional neural networks Q Wang, Z Gao, J Xie, W Zuo, P Li Proceedings of the 32nd International Conference on Neural Information …, 2018 | 6 | 2018 |
| 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, 2021 | | 2021 |
Peihua LiDalian University of TechnologyVerified email at dlut.edu.cn
