| Deep supervised hashing for fast image retrieval H Liu, R Wang, S Shan, X Chen Computer Vision and Pattern Recognition, 2016. CVPR 2016. IEEE Conference on …, 2016 | 1033 | 2016 |
| Covariance Discriminative Learning: A Natural and Efficient Approach to Image Set Classification R Wang, H Guo, LS Davis, Q Dai Computer Vision and Pattern Recognition, 2012. CVPR 2012. IEEE Conference on …, 2012 | 566 | 2012 |
| Manifold-manifold distance with application to face recognition based on image set R Wang, S Shan, X Chen, W Gao Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on …, 2008 | 564 | 2008 |
| Learning Expressionlets on Spatio-Temporal Manifold for Dynamic Facial Expression Recognition M Liu, S Shan, R Wang, X Chen Computer Vision and Pattern Recognition, 2014. CVPR 2014. IEEE Conference on …, 2014 | 460 | 2014 |
| Deeply Learning Deformable Facial Action Parts Model for Dynamic Expression Analysis M Liu, S Li, S Shan, R Wang, X Chen 12th Asian Conference on Computer Vision (ACCV 2014), 2014 | 393 | 2014 |
| Manifold discriminant analysis R Wang, X Chen Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on …, 2009 | 374 | 2009 |
| FAIR1M: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery X Sun, P Wang, Z Yan, F Xu, R Wang, W Diao, J Chen, J Li, Y Feng, T Xu, ... ISPRS Journal of Photogrammetry and Remote Sensing 184, 116-130, 2022 | 336 | 2022 |
| Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification Z Huang, R Wang, S Shan, X Li, X Chen The 32nd International Conference on Machine Learning (ICML 2015), 2015 | 301 | 2015 |
| Projection Metric Learning on Grassmann Manifold with Application to Video based Face Recognition Z Huang, R Wang, S Shan, X Chen Computer Vision and Pattern Recognition, 2015. CVPR 2015. IEEE Conference on …, 2015 | 289 | 2015 |
| Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships Y Liu, R Wang, S Shan, X Chen Computer Vision and Pattern Recognition, 2018. CVPR 2018. IEEE Conference on …, 2018 | 286 | 2018 |
| Cross-modal scene graph matching for relationship-aware image-text retrieval S Wang, R Wang, Z Yao, S Shan, X Chen Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 253 | 2020 |
| Combining multiple kernel methods on riemannian manifold for emotion recognition in the wild M Liu, R Wang, S Li, S Shan, Z Huang, X Chen Proceedings of the 16th International Conference on Multimodal Interaction …, 2014 | 223 | 2014 |
| Transferable contrastive network for generalized zero-shot learning H Jiang, R Wang, S Shan, X Chen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 220 | 2019 |
| RingMo: A remote sensing foundation model with masked image modeling X Sun, P Wang, W Lu, Z Zhu, X Lu, Q He, J Li, X Rong, Z Yang, H Chang, ... IEEE Transactions on Geoscience and Remote Sensing 61, 1-22, 2022 | 195 | 2022 |
| Discriminant analysis on Riemannian manifold of Gaussian distributions for face recognition with image sets W Wang, R Wang, Z Huang, S Shan, X Chen Computer Vision and Pattern Recognition, 2015. CVPR 2015. IEEE Conference on …, 2015 | 184 | 2015 |
| A benchmark and comparative study of video-based face recognition on COX face database Z Huang, S Shan, R Wang, H Zhang, S Lao, A Kuerban, X Chen IEEE Transactions on Image Processing 24 (12), 5967 - 5981, 2015 | 175 | 2015 |
| Learning class prototypes via structure alignment for zero-shot recognition H Jiang, R Wang, S Shan, X Chen Proceedings of the European conference on computer vision (ECCV), 118-134, 2018 | 146 | 2018 |
| Manifold–manifold distance and its application to face recognition with image sets R Wang, S Shan, X Chen, Q Dai, W Gao IEEE Transactions on Image Processing 21 (10), 4466-4479, 2012 | 145 | 2012 |
| Multi-modal graph neural network for joint reasoning on vision and scene text D Gao, K Li, R Wang, S Shan, X Chen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 139 | 2020 |
| The era of 1-bit llms: All large language models are in 1.58 bits S Ma, H Wang, L Ma, L Wang, W Wang, S Huang, L Dong, R Wang, J Xue, ... arXiv preprint arXiv:2402.17764, 2024 | 135 | 2024 |
Xilin ChenInstitute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
