activity
20172019
most citedA Sinogram Inpainting Method based on Generative Adversarial Network for Limited-angle Computed Tomography

6 citations · 13 across the 5 of their papers we have counts for

collaborators

7 papers

cs.IT20192 cited

UAV Positioning and Power Control for Two-Way Wireless Relaying

Lei Li, Tsung-Hui Chang, Shu Cai

This paper considers an unmanned-aerial-vehicle-enabled (UAV-enabled) wireless network where a relay UAV is used for two-way communications between a ground base station (BS) and a…

cs.CV20193 cited

3D Face Mask Presentation Attack Detection Based on Intrinsic Image Analysis

Lei Li, Zhaoqiang Xia, Xiaoyue Jiang +3

Face presentation attacks have become a major threat to face recognition systems and many countermeasures have been proposed in the past decade. However, most of them are devoted t…

physics.med-ph20192 cited

Projection Super-resolution Based on Convolutional Neural Network for Computed Tomography

Chao Tang, Wenkun Zhang, Ziheng Li +5

The improvement of computed tomography (CT) image resolution is beneficial to the subsequent medical diagnosis, but it is usually limited by the scanning devices and great expense.…

physics.med-ph20196 cited

A Sinogram Inpainting Method based on Generative Adversarial Network for Limited-angle Computed Tomography

Ziheng Li, Wenkun Zhang, Linyuan Wang +4

Limited-angle computed tomography (CT) image reconstruction is a challenging reconstruction problem in the fields of CT. With the development of deep learning, the generative adver…

stat.ML2019

A stochastic version of Stein Variational Gradient Descent for efficient sampling

Lei Li, Yingzhou Li, Jian-Guo Liu +2

We propose in this work RBM-SVGD, a stochastic version of Stein Variational Gradient Descent (SVGD) method for efficiently sampling from a given probability measure and thus useful…

physics.med-ph2018

Image Domain Dual Material Decomposition for Dual-Energy CT using Butterfly Network

Wenkun Zhang, Hanming Zhang, Linyuan Wang +5

Dual-energy CT (DECT) has been increasingly used in imaging applications because of its capability for material differentiation. However, material decomposition suffers from magnif…