| 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 | 498 | 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 | 353 | 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 | 342 | 2017 |
| 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 | 231 | 2022 |
| 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 | 128 | 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 | 107 | 2021 |
| Deep convolutional features for iris recognition X Tang, J Xie, P Li Chinese conference on biometric recognition, 391-400, 2017 | 26 | 2017 |
| So-vit: Mind visual tokens for vision transformer J Xie, R Zeng, Q Wang, Z Zhou, P Li CoRR, 2021 | 20 | 2021 |
| SoT: Delving deeper into classification head for transformer J Xie, R Zeng, Q Wang, Z Zhou, P Li arXiv preprint arXiv:2104.10935, 2021 | 17 | 2021 |
| 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 |
| 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 | 7 | 2022 |
| Towards a Deeper Understanding of Global Covariance Pooling in Deep Learning: An Optimization Perspective Q Wang, Z Zhang, M Gao, J Xie, P Zhu, P Li, W Zuo, Q Hu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 4 | 2023 |
| 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 |
| TC-LLaVA: Rethinking the Transfer from Image to Video Understanding with Temporal Considerations M Gao, J Liu, M Li, J Xie, Q Liu, B Zhao, X Chen, H Xiong arXiv preprint arXiv:2409.03206, 2024 | 1 | 2024 |
| 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
