SymNet: A Simple Symmetric Positive Definite Manifold Deep Learning Method for Image Set Classification R Wang, XJ Wu, J Kittler IEEE Transactions on Neural Networks and Learning Systems, 2020 | 46 | 2020 |
Graph embedding multi-kernel metric learning for image set classification with Grassmannian manifold-valued features R Wang, XJ Wu, J Kittler IEEE Transactions on Multimedia 23, 228-242, 2020 | 43 | 2020 |
Multiple Riemannian manifold-valued descriptors based image set classification with multi-kernel metric learning R Wang, XJ Wu, KX Chen, J Kittler IEEE Transactions on Big Data 8 (3), 753-769, 2020 | 32 | 2020 |
Multiple manifolds metric learning with application to image set classification R Wang, XJ Wu, KX Chen, J Kittler 2018 24th International conference on pattern recognition (ICPR), 627-632, 2018 | 25 | 2018 |
Hybrid Riemannian graph-embedding metric learning for image set classification Z Chen, T Xu, XJ Wu, R Wang, J Kittler IEEE transactions on big data 9 (1), 75-92, 2021 | 19 | 2021 |
Geometry-aware graph embedding projection metric learning for image set classification R Wang, XJ Wu, Z Liu, J Kittler IEEE transactions on cognitive and developmental systems 14 (3), 957-970, 2021 | 14 | 2021 |
Learning a discriminative SPD manifold neural network for image set classification R Wang, XJ Wu, Z Chen, T Xu, J Kittler Neural networks 151, 94-110, 2022 | 12 | 2022 |
U-SPDNet: An SPD manifold learning-based neural network for visual classification R Wang, XJ Wu, T Xu, C Hu, J Kittler Neural networks 161, 382-396, 2023 | 9 | 2023 |
Riemannian kernel based Nyström method for approximate infinite-dimensional covariance descriptors with application to image set classification KX Chen, XJ Wu, R Wang, J Kittler 2018 24th International conference on pattern recognition (ICPR), 651-656, 2018 | 9 | 2018 |
Dreamnet: A deep riemannian manifold network for spd matrix learning R Wang, XJ Wu, Z Chen, T Xu, J Kittler Proceedings of the Asian Conference on Computer Vision, 3241-3257, 2022 | 7 | 2022 |
More about covariance descriptors for image set coding: Log-euclidean framework based kernel matrix representation KX Chen, XJ Wu, JY Ren, R Wang, J Kittler Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 7 | 2019 |
Riemannian local mechanism for spd neural networks Z Chen, T Xu, XJ Wu, R Wang, Z Huang, J Kittler Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7104-7112, 2023 | 6 | 2023 |
Deep metric learning on the SPD manifold for image set classification R Wang, XJ Wu, T Xu, C Hu, J Kittler IEEE transactions on circuits and systems for video technology 34 (2), 663-680, 2024 | 5 | 2024 |
Grasnet: A simple grassmannian network for image set classification R Wang, XJ Wu Neural Processing Letters 52 (1), 693-711, 2020 | 5 | 2020 |
A simple Riemannian manifold network for image set classification R Wang, XJ Wu, J Kittler arXiv preprint arXiv:1805.10628, 2018 | 5 | 2018 |
Structure Maintaining Discriminant Maps (SMDM) for Grassmann Manifold Dimensionality Reduction with Applications to the Image Set Classification R Wang, XJ Wu 2017 16th International Symposium on Distributed Computing and Applications …, 2017 | 3 | 2017 |
SPD manifold deep metric learning for image set classification R Wang, XJ Wu, Z Chen, C Hu, J Kittler IEEE Transactions on Neural Networks and Learning Systems, 2024 | 2 | 2024 |
Motion-Driven Tracking via End-to-End Coarse-to-Fine Verifying R Wang, B Zhong, Y Chen IEEE Transactions on Circuits and Systems for Video Technology, 2023 | 2 | 2023 |
MSNet: A Deep Multi-scale Submanifold Network for Visual Classification Z Chen, XJ Wu, T Xu, R Wang, Z Huang, J Kittler arXiv preprint arXiv:2201.10145 (AAAI 2023), 2022 | 2 | 2022 |
Collaborative representation for spd matrices with application to image-set classification L Chu, R Wang, XJ Wu arXiv preprint arXiv:2201.08962, 2022 | 2 | 2022 |