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Papers
ReManNet: A Riemannian Manifold Network for Monocular 3D Lane Detection
CVPR 2026
Distributed Cascaded Manifold Hashing Network for Compact Image Set Representation
IJCAI 2025
SPDIM: Source-Free Unsupervised Conditional and Label Shift Adaptation in EEG
ICLR 2025
A Lie Group Approach to Riemannian Batch Normalization
ICLR 2024
Deep Geodesic Canonical Correlation Analysis for Covariance-Based Neuroimaging Data
ICLR 2024
Graph Structure Inference with BAM: Neural Dependency Processing via Bilinear Attention
NeurIPS 2024
Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry
ICML 2023
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG
NeurIPS 2022
Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds
ACML 2021
Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging
CVPR 2017
Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification
ICML 2015