Many Is Better Than One: Multiple Covariation Learning for Latent Multiview Representation.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Learning Canonical F-Correlation Projection for Compact Multiview Representation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Fractional Multiset Coherent Super-Resolution Representation for Low Resolution Face Recognition.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022
Learning Unsupervised and Supervised Representations via General Covariance.
IEEE Signal Process. Lett., 2021
OPLS-SR: A novel face super-resolution learning method using orthonormalized coherent features.
Inf. Sci., 2021
Learning Fractional Orthogonal Latent Consistent Features for Face Hallucination and Recognition.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Learning Simultaneous Face Super-Resolution Using Multiset Partial Least Squares.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019
Learning Super-Resolution Coherent Facial Features Using Nonlinear Multiset PLS for Low-Resolution Face Recognition.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019