49 citations · 81 across the 4 of their papers we have counts for
4 papers
Hyperbolic Hierarchical Contrastive Hashing
Rukai Wei, Yu Liu, Jingkuan Song +2
Hierarchical semantic structures, naturally existing in real-world datasets, can assist in capturing the latent distribution of data to learn robust hash codes for retrieval system…
DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-sheet Microscopy
Yu Liu, Kurt Weiss, Nassir Navab +3
Light-sheet fluorescence microscopy (LSFM) is a cutting-edge volumetric imaging technique that allows for three-dimensional imaging of mesoscopic samples with decoupled illuminatio…
A deep domain decomposition method based on Fourier features
Sen Li, Yingzhi Xia, Yu Liu +1
In this paper we present a Fourier feature based deep domain decomposition method (F-D3M) for partial differential equations (PDEs). Currently, deep neural network based methods ar…
Dual-Domain Reconstruction Networks with V-Net and K-Net for fast MRI
Xiaohan Liu, Yanwei Pang, Ruiqi Jin +2
Purpose: To introduce a dual-domain reconstruction network with V-Net and K-Net for accurate MR image reconstruction from undersampled k-space data. Methods: Most state-of-the-art…