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Papers
Learning Topology-Driven Multi-Subspace Fusion for Grassmannian Deep Networks
AAAI 2026
Robust Least-Squares Optimization for Data-Driven Predictive Control: A Geometric Approach
L4DC 2026
A Grassmannian Manifold Self-Attention Network for Signal Classification
IJCAI 2024
Fitting Flats to Flats
CVPR 2024
On the equivalence of Oja’s algorithm and GROUSE
AISTATS 2022
A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning
NeurIPS 2019
A Well-Tempered Landscape for Non-convex Robust Subspace Recovery
JMLR 2019
Geometric Understanding for Unsupervised Subspace Learning
IJCAI 2019
Multivariate Regression on the Grassmannian for Predicting Novel Domains
CVPR 2016
Sparse Coding and Dictionary Learning With Linear Dynamical Systems
CVPR 2016
More About VLAD: A Leap From Euclidean to Riemannian Manifolds
CVPR 2015
Semi-supervised Spectral Clustering for Image Set Classification
CVPR 2014