Blind image quality assessment (BIQA) is a challenging problem with impo...
Image aesthetic quality assessment (AQA) aims to assign numerical aesthe...
Convolutional neural networks (CNNs) achieved the state-of-the-art
perfo...
Image clustering is a very useful technique that is widely applied to va...
User videos shared on social media platforms usually suffer from degrada...
Acceleration of urbanisation is posing great challenges to sustainable
d...
Single-image HDR reconstruction or inverse tone mapping (iTM) is a
chall...
The goal of representation learning is different from the ultimate objec...
Anomaly detection has wide applications in machine intelligence but is s...
In this paper, we propose a novel compressed image super resolution (CIS...
This paper presents a quarter Laplacian filter that can preserve corners...
Weighted Gaussian Curvature is an important measurement for images. Howe...
There are large amount of valuable video archives in Video Home System (...
Estimating depth from RGB images can facilitate many computer vision tas...
Editing facial images created by StyleGAN is a popular research topic wi...
Predicting depth from a single image is an attractive research topic sin...
Camera localization is a fundamental requirement in robotics and compute...
Recent works have demonstrated convolutional neural networks are vulnera...
Minimizing Gaussian curvature of meshes is fundamentally important for
o...
The "curse of dimensionality" is a well-known problem in pattern recogni...
Classifiers embedded within human in the loop visual object recognition
...
Supervised semantic segmentation normally assumes the test data being in...
Despite excellent progress in recent years, mode collapse remains a majo...
Image denoising is the process of removing noise from noisy images, whic...
We present a new method for improving the performances of variational
au...
Local windows are routinely used in computer vision and almost without
e...
This paper presents a simple yet effective method for feature-preserving...
Video summarization has been extensively studied in the past decades.
Ho...
One issue with computer based histopathology image analysis is that the ...
With the rapid growing of remotely sensed imagery data, there is a high
...
Single image defogging is a classical and challenging problem in compute...
6DOF camera relocalization is an important component of autonomous drivi...
In the computer research area, facial expression recognition is a hot
re...
Motion blur, out of focus, insufficient spatial resolution, lossy compre...
One of the methods for stratifying different molecular classes of breast...
Building on crucial insights into the determining factors of the visual
...
In this paper, we introduce deep learning technology to tackle two
tradi...
We present a novel method for constructing Variational Autoencoder (VAE)...
A popular approach to semantic image understanding is to manually tag im...
We present a method for discovering and exploiting object specific deep
...
Label ranking aims to learn a mapping from instances to rankings over a
...
In this paper, we describe a dataset relating to cellular and physical
c...
This paper formulates bottom-up visual saliency as center surround
condi...
The bottom-up saliency, an early stage of humans' visual attention, can ...
The bottom-up saliency, an early stage of humans' visual attention, can ...
Both pixel-based scale saliency (PSS) and basis project methods focus on...