Image aesthetics assessment (IAA) aims to estimate the aesthetics of ima...
The development of learning-based methods has greatly improved the detec...
Lightness adaptation is vital to the success of image processing to avoi...
Image fusion aims to generate a high-quality image from multiple images
...
Instance segmentation in electron microscopy (EM) volumes poses a signif...
Recent interactive segmentation methods iteratively take source image, u...
U-Net, known for its simple yet efficient architecture, is widely utiliz...
Image denoising is a fundamental problem in computational photography, w...
Vision-Language Pretraining (VLP) has demonstrated remarkable capabiliti...
Deep learning has opened up new possibilities for light field
super-reso...
The goal of image restoration (IR), a fundamental issue in computer visi...
The primary challenge in video super-resolution (VSR) is to handle large...
Portrait retouching aims to improve the aesthetic quality of input portr...
The widespread usage of high-definition screens on edge devices stimulat...
Existing deep learning based HDRTV reconstruction methods assume one kin...
In this paper, we present TridentSE, a novel architecture for speech
enh...
This paper proposes a new "decompose-and-edit" paradigm for the text-bas...
Space-time memory (STM) based video object segmentation (VOS) networks
u...
In this paper, we study the problem of stereo matching from a pair of im...
Volumetric image compression has become an urgent task to effectively
tr...
This paper addresses the unsupervised learning of content-style decompos...
Accurate retinal vessel segmentation is challenging because of the compl...
Existing methods for spectral reconstruction usually learn a discrete ma...
Geometry-based point cloud compression (G-PCC) can achieve remarkable
co...
Mitochondria segmentation in electron microscopy images is essential in
...
With the rapid development of whole brain imaging technology, a large nu...
Non-line-of-sight (NLOS) imaging is based on capturing the multi-bounce
...
Deep learning provides a new avenue for image restoration, which demands...
Image deblurring has seen a great improvement with the development of de...
Inspired by the fact that human eyes continue to develop tracking abilit...
Mitochondria instance segmentation from electron microscopy (EM) images ...
Existing speech enhancement methods mainly separate speech from noises a...
The capability of image semantic segmentation may be deteriorated due to...
We consider the tracking problem as a special type of object detection
p...
Recent advances of deep learning lead to great success of image and vide...
Contrast enhancement and noise removal are coupled problems for low-ligh...
Time-frequency (T-F) domain masking is a mainstream approach for
single-...
Signal degradation is ubiquitous and computational restoration of degrad...
The greatest challenge facing visual object tracking is the simultaneous...
Existing methods for single image super-resolution (SR) are typically
ev...
We study the video super-resolution (SR) problem not for visual quality,...
Person re-identification aims to identify the same pedestrian across
non...