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Manifold Learning Research of PRCI-Lab

Learning a discriminative SPD manifold neural network for image set classification

*Rui Wang, Xiaojun Wu, Ziheng Chen, Tianyang Xu, Josef Kittler, Neural Networks, 2022.

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DreamNet: A Deep Riemannian Manifold Network for SPD Matrix Learning

*Rui Wang, Xiaojun Wu, Ziheng Chen, Tianyang Xu, Josef Kittler, ACCV, 2022.

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SymNet: A Simple Symmetric Positive Definite Manifold Deep Learning Method for Image Set Classification

*Rui Wang, Xiaojun Wu, Josef Kittler, IEEE TNNLS, 2022.

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Hybrid Riemannian Graph-Embedding Metric Learning for Image Set Classification

*Ziheng Chen, Tianyang Xu, Xiaojun Wu, Rui Wang, Josef Kittler, IEEE TBD, 2023.

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Graph Embedding Multi-Kernel Metric Learning for Image Set Classification With Grassmannian Manifold-Valued Features

*Rui Wang, Xiao-Jun Wu, Josef Kittler, IEEE TMM, 2021.

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Geometry-Aware Graph Embedding Projection Metric Learning for Image Set Classification

*Rui Wang, Xiaojun Wu, Zhen Liu, Josef Kittler, IEEE TCDS, 2022.

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Multiple Riemannian Manifold-valued Descriptors based Image Set Classification with Multi-Kernel Metric Learning

*Rui Wang, Xiao-Jun Wu, Josef Kittler, IEEE TBD, 2022.

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Probability Distribution-Based Dimensionality Reduction on Riemannian Manifold of SPD Matrices

*Jieyi Ren; Xiao-Jun Wu, IEEE Access, 2021.

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GrasNet: A Simple Grassmannian Network for Image Set Classification

*Rui Wang, Xiao-Jun Wu, Neural Process. Lett., 2020.

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Discriminative block-diagonal covariance descriptors for image set classification

*Jieyi Ren, Xiao-Jun Wu, Josef Kittler, Pattern Recognit. Lett., 2020.

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More About Covariance Descriptors for Image Set Coding: Log-Euclidean Framework Based Kernel Matrix Representation

*Kai-Xuan Chen, Xiao-Jun Wu, Jie-Yi Ren, Rui Wang, Josef Kittler, ICCV Workshops, 2019.

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Component SPD matrices: A low-dimensional discriminative data descriptor for image set classification

*Kai-Xuan Chen, Xiao-Jun Wu, Comput. Vis. Media, 2018.

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Multiple Manifolds Metric Learning with Application to Image Set Classification

*Rui Wang, Xiao-Jun Wu, Kai-Xuan Chen, Josef Kittler, ICPR, 2018.

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Riemannian kernel based Nyström method for approximate infinite-dimensional covariance descriptors with application to image set classification

*Kai-Xuan Chen, Xiao-Jun Wu, Rui Wang, Josef Kittler, ICPR, 2018.

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Vectorial approximations of infinite-dimensional covariance descriptors for image classification

*Jieyi Ren; Xiao-Jun Wu, Comput. Vis. Media, 2017.

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