research
∙
07/22/2023
Iterative Reconstruction Based on Latent Diffusion Model for Sparse Data Reconstruction
Reconstructing Computed tomography (CT) images from sparse measurement i...
share
research
∙
01/31/2023
Hierarchical Disentangled Representation for Invertible Image Denoising and Beyond
Image denoising is a typical ill-posed problem due to complex degradatio...
research
∙
03/21/2022
Depth Completion using Geometry-Aware Embedding
Exploiting internal spatial geometric constraints of sparse LiDARs is be...
research
∙
03/28/2020
Learning Invariant Representation for Unsupervised Image Restoration
Recently, cross domain transfer has been applied for unsupervised image ...
research
∙
10/31/2018
Visual Attention Network for Low Dose CT
Noise and artifacts are intrinsic to low dose CT (LDCT) data acquisition...
research
∙
09/03/2018
Data Augmentation for Neural Online Chat Response Selection
Data augmentation seeks to manipulate the available data for training to...
research
∙
12/08/2016
