Semi-supervised learning with graph learning-convolutional networks B Jiang, Z Zhang, D Lin, J Tang, B Luo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 329 | 2019 |
Graph-Laplacian PCA: Closed-form solution and robustness B Jiang, C Ding, B Luo, J Tang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 171 | 2013 |
Towards more flexible and accurate object tracking with natural language: Algorithms and benchmark X Wang, X Shu, Z Zhang, B Jiang, Y Wang, Y Tian, F Wu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 114 | 2021 |
MGLNN: Semi-supervised learning via multiple graph cooperative learning neural networks B Jiang, S Chen, B Wang, B Luo Neural Networks 153, 204-214, 2022 | 81 | 2022 |
CmSalGAN: RGB-D salient object detection with cross-view generative adversarial networks B Jiang, Z Zhou, X Wang, J Tang, B Luo IEEE Transactions on Multimedia 23, 1343-1353, 2020 | 79 | 2020 |
GLMNet: Graph learning-matching convolutional networks for feature matching B Jiang, P Sun, B Luo Pattern Recognition 121, 108167, 2022 | 59 | 2022 |
A unified multiple graph learning and convolutional network model for co-saliency estimation B Jiang, X Jiang, A Zhou, J Tang, B Luo proceedings of the 27th ACM International Conference on Multimedia, 1375-1382, 2019 | 43 | 2019 |
Image representation and learning with graph-laplacian tucker tensor decomposition B Jiang, C Ding, J Tang, B Luo IEEE transactions on cybernetics 49 (4), 1417-1426, 2018 | 42 | 2018 |
Adversarial-metric learning for audio-visual cross-modal matching A Zheng, M Hu, B Jiang, Y Huang, Y Yan, B Luo IEEE Transactions on Multimedia 24, 338-351, 2021 | 41 | 2021 |
A sparse nonnegative matrix factorization technique for graph matching problems B Jiang, H Zhao, J Tang, B Luo Pattern Recognition 47 (2), 736-747, 2014 | 39 | 2014 |
PH-GCN: Person re-identification with part-based hierarchical graph convolutional network B Jiang, X Wang, B Luo arXiv preprint arXiv:1907.08822, 2019 | 34 | 2019 |
Data representation and learning with graph diffusion-embedding networks B Jiang, D Lin, J Tang, B Luo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 33 | 2019 |
Multiple graph convolutional networks for co-saliency detection B Jiang, X Jiang, J Tang, B Luo, S Huang 2019 IEEE International Conference on Multimedia and Expo (ICME), 332-337, 2019 | 32 | 2019 |
MFGNet: Dynamic modality-aware filter generation for RGB-T tracking X Wang, X Shu, S Zhang, B Jiang, Y Wang, Y Tian, F Wu IEEE Transactions on Multimedia 25, 4335-4348, 2022 | 30 | 2022 |
Robust data representation using locally linear embedding guided PCA B Jiang, C Ding, B Luo Neurocomputing 275, 523-532, 2018 | 29 | 2018 |
Graph structure analysis based on complex network J Tang, B Jiang, CC Chang, B Luo Digital Signal Processing 22 (5), 713-725, 2012 | 28 | 2012 |
Graph matching via multiplicative update algorithm B Jiang, J Tang, C Ding, Y Gong, B Luo Advances in neural information processing systems 30, 2017 | 27 | 2017 |
Binary constraint preserving graph matching B Jiang, J Tang, C Ding, B Luo Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 27 | 2017 |
Fine-grained visual classification via internal ensemble learning transformer Q Xu, J Wang, B Jiang, B Luo IEEE Transactions on Multimedia, 2023 | 26 | 2023 |
Intramuscular injection of bone marrow mesenchymal stem cells with small gap neurorrhaphy for peripheral nerve repair P Wang, Y Zhang, J Zhao, B Jiang Neuroscience letters 585, 119-125, 2015 | 26 | 2015 |