Magnetic resonance imaging (MRI) is an important non-invasive clinical tool that can
produce high-resolution and reproducible images. However, a long scanning time is …

With the increasing interest in large-scale, high-resolution and real-time geographic
information system (GIS) applications and spatial big data processing, traditional GIS is not …

The goal of learning-based image super resolution (SR) is to generate a plausible and
visually pleasing high-resolution (HR) image from a given low-resolution (LR) input. The SR …

The performance of traditional face recognition systems is sharply reduced when
encountered with a low-resolution (LR) probe face image. To obtain much more detailed …

In the field of modern nondestructive testing (NDT), laser ultrasonic detection (LUD)
technology has become a remarkable novel technology with its advantages of high-cost …

Seismic data reconstruction is always an essential step in the field of seismic data
processing. Effective reconstruction methods can obtain high-density information at low-cost …

Due to inherent limitations in data acquisition, seismic data reconstruction is an important
procedure to recover missing data or improve observation density. Many conventional …

Deep Convolutional Neural Networks (CNN) have drawn great attention in image super-
resolution (SR). Recently, visual attention mechanism, which exploits both of the feature …

Nowadays air quality data can be easily accumulated by sensors around the world. Analysis
on air quality data is very useful for society decision. Among five major air pollutants which …

For the convenience of collaborative design, virtual construction, construction process
simulation and management, Building Information Modeling (BIM) is becoming an important …