| ECA-Net: Efficient channel attention for deep convolutional neural networks Q Wang, B Wu, P Zhu, P Li, W Zuo, Q Hu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 4518 | 2020 |
| Mind the class weight bias: Weighted maximum mean discrepancy for unsupervised domain adaptation H Yan, Y Ding, P Li, Q Wang, Y Xu, W Zuo Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 665 | 2017 |
| 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 | 410 | 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 | 315 | 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 | 298 | 2017 |
| Neural blind deconvolution using deep priors D Ren, K Zhang, Q Wang, Q Hu, W Zuo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 277 | 2020 |
| Log-Euclidean kernels for sparse representation and dictionary learning P Li, Q Wang, W Zuo, L Zhang Proceedings of the IEEE international conference on computer vision, 1601-1608, 2013 | 152 | 2013 |
| 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 | 141 | 2022 |
| G2DeNet: Global Gaussian distribution embedding network and its application to visual recognition Q Wang, P Li, L Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 126 | 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 | 105 | 2020 |
| A novel earth mover's distance methodology for image matching with gaussian mixture models P Li, Q Wang, L Zhang Proceedings of the IEEE International Conference on Computer Vision, 1689-1696, 2013 | 104 | 2013 |
| Multi-scale location-aware kernel representation for object detection H Wang, Q Wang, M Gao, P Li, W Zuo Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 97 | 2018 |
| Detection, tracking, and counting meets drones in crowds: A benchmark L Wen, D Du, P Zhu, Q Hu, Q Wang, L Bo, S Lyu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 81 | 2021 |
| Local log-Euclidean multivariate Gaussian descriptor and its application to image classification P Li, Q Wang, H Zeng, L Zhang IEEE transactions on pattern analysis and machine intelligence 39 (4), 803-817, 2016 | 77 | 2016 |
| RAID-G: Robust estimation of approximate infinite dimensional Gaussian with application to material recognition Q Wang, P Li, W Zuo, L Zhang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 72 | 2016 |
| Weighted and class-specific maximum mean discrepancy for unsupervised domain adaptation H Yan, Z Li, Q Wang, P Li, Y Xu, W Zuo IEEE Transactions on Multimedia 22 (9), 2420-2433, 2019 | 68 | 2019 |
| Data augmentation for object detection via progressive and selective instance-switching H Wang, Q Wang, F Yang, W Zhang, W Zuo arXiv preprint arXiv:1906.00358, 2019 | 59 | 2019 |
| Local Log-Euclidean Covariance Matrix (L2ECM) for Image Representation and Its Applications P Li, Q Wang Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 57 | 2012 |
| Boosting weakly supervised object detection via learning bounding box adjusters B Dong, Z Huang, Y Guo, Q Wang, Z Niu, W Zuo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 55 | 2021 |
| From dictionary of visual words to subspaces: Locality-constrained affine subspace coding P Li, X Lu, Q Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 52 | 2015 |
Peihua LiDalian University of TechnologyDirección de correo verificada de dlut.edu.cn
