Modern displays are capable of rendering video content with high dynamic...
For decades, database research has focused on optimizing performance und...
Medical errors, defined as unintended acts either of omission or commiss...
Tagged magnetic resonance imaging (tMRI) has been employed for decades t...
Over the past decade, deep learning technologies have greatly advanced t...
Augmented Reality (AR) has been used to facilitate surgical guidance dur...
Lightweight data compression is a key technique that allows column store...
High dynamic range (HDR) imaging is still a significant yet challenging
...
The Segment Anything Model (SAM) is a new image segmentation tool traine...
The recently proposed open-world object and open-set detection achieve a...
When capturing and storing images, devices inevitably introduce noise.
R...
Transformers have recently shown promise for medical image applications,...
In the past, optimization-based registration models have used
spatially-...
Image quality control (IQC) can be used in automated magnetic resonance ...
Tagged magnetic resonance imaging (MRI) has been used for decades to obs...
The lack of standardization is a prominent issue in magnetic resonance (...
In this paper, we propose a novel dual-branch Transformation-Synthesis
n...
Point cloud completion aims to predict complete shape from its partial
o...
Performance and generalization ability are two important aspects to eval...
Disentangling anatomical and contrast information from medical images ha...
The majority of deep learning (DL) based deformable image registration
m...
Video colorization is a challenging and highly ill-posed problem. Althou...
Blind image super-resolution (SR), aiming to super-resolve low-resolutio...
Most consumer-grade digital cameras can only capture a limited range of
...
Photo retouching aims at improving the aesthetic visual quality of image...
Accuracy and consistency are two key factors in computer-assisted magnet...
Photo retouching aims at enhancing the aesthetic visual quality of image...
With the prosperity of digital video industry, video frame interpolation...
This paper is the report of the first Under-Display Camera (UDC) image
r...
Recently, convolutional neural networks (CNNs) have achieved great
impro...
Generative Adversarial Networks (GAN) have demonstrated the potential to...
The Super-Resolution Generative Adversarial Network (SRGAN) is a seminal...